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https://api.github.com/repos/huggingface/datasets/issues/2343 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2343/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2343/comments | https://api.github.com/repos/huggingface/datasets/issues/2343/events | https://github.com/huggingface/datasets/issues/2343 | 883,208,539 | MDU6SXNzdWU4ODMyMDg1Mzk= | 2,343 | Columns are removed before or after map function applied? | {
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] | open | false | null | [] | null | [] | 1,620,614,180,000 | 1,620,614,180,000 | null | NONE | null | null | ## Describe the bug
According to the documentation when applying map function the [remove_columns ](https://huggingface.co/docs/datasets/processing.html#removing-columns) will be removed after they are passed to the function, but in the [source code](https://huggingface.co/docs/datasets/package_reference/main_classes.... | https://api.github.com/repos/huggingface/datasets/issues/2343/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2342 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2342/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2342/comments | https://api.github.com/repos/huggingface/datasets/issues/2342/events | https://github.com/huggingface/datasets/pull/2342 | 882,981,420 | MDExOlB1bGxSZXF1ZXN0NjM2NDg0MzM3 | 2,342 | Docs - CER above 1 | {
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} | CER can actually be greater than 1. | https://api.github.com/repos/huggingface/datasets/issues/2342/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2341 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2341/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2341/comments | https://api.github.com/repos/huggingface/datasets/issues/2341/events | https://github.com/huggingface/datasets/pull/2341 | 882,370,933 | MDExOlB1bGxSZXF1ZXN0NjM1OTExODI2 | 2,341 | Added the Ascent KB | {
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"Thanks for approving it!"
] | 1,620,569,859,000 | 1,620,724,619,000 | 1,620,724,619,000 | CONTRIBUTOR | null | {
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} | Added the Ascent Commonsense KB of 8.9M assertions.
- Paper: [Advanced Semantics for Commonsense Knowledge Extraction (WWW'21)](https://arxiv.org/abs/2011.00905)
- Website: https://ascent.mpi-inf.mpg.de/
(I am the author of the dataset) | https://api.github.com/repos/huggingface/datasets/issues/2341/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2340 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2340/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2340/comments | https://api.github.com/repos/huggingface/datasets/issues/2340/events | https://github.com/huggingface/datasets/pull/2340 | 882,370,824 | MDExOlB1bGxSZXF1ZXN0NjM1OTExNzIx | 2,340 | More consistent copy logic | {
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} | Use `info.copy()` instead of `copy.deepcopy(info)`.
`Features.copy` now creates a deep copy. | https://api.github.com/repos/huggingface/datasets/issues/2340/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2338 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2338/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2338/comments | https://api.github.com/repos/huggingface/datasets/issues/2338/events | https://github.com/huggingface/datasets/pull/2338 | 882,046,077 | MDExOlB1bGxSZXF1ZXN0NjM1NjA3NzQx | 2,338 | fixed download link for web_science | {
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} | Fixes #2337. Should work with:
`dataset = load_dataset("web_of_science", "WOS11967", ignore_verifications=True)` | https://api.github.com/repos/huggingface/datasets/issues/2338/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2337/comments | https://api.github.com/repos/huggingface/datasets/issues/2337/events | https://github.com/huggingface/datasets/issues/2337 | 881,610,567 | MDU6SXNzdWU4ODE2MTA1Njc= | 2,337 | NonMatchingChecksumError for web_of_science dataset | {
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"I've raised a PR for this. Should work with `dataset = load_dataset(\"web_of_science\", \"WOS11967\", ignore_verifications=True)`once it gets merged into the main branch. Thanks for reporting this! "
] | 1,620,525,722,000 | 1,620,653,753,000 | 1,620,653,753,000 | NONE | null | null | NonMatchingChecksumError when trying to download the web_of_science dataset.
>NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://data.mendeley.com/datasets/9rw3vkcfy4/6/files/c9ea673d-5542-44c0-ab7b-f1311f7d61df/WebOfScience.zip?dl=1']
Setting `ignore_verfications=True` results... | https://api.github.com/repos/huggingface/datasets/issues/2337/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2336 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2336/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2336/comments | https://api.github.com/repos/huggingface/datasets/issues/2336/events | https://github.com/huggingface/datasets/pull/2336 | 881,298,783 | MDExOlB1bGxSZXF1ZXN0NjM0ODk1OTU5 | 2,336 | Fix overflow issue in interpolation search | {
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"~~Seems like the CI failure is unrelated to this PR~~ (fixed with the merge). \r\n\r\n@lhoestq Can you please verify that everything is OK in terms of speed? Another solution is to change the offsets array dtype to np.int64 (but this doesn't scale in theory compared to Python integer which is unbound). I'm not sur... | 1,620,507,096,000 | 1,620,653,347,000 | 1,620,653,172,000 | CONTRIBUTOR | null | {
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} | Fixes #2335
More info about this error can be found [here](https://stackoverflow.com/questions/53239890/why-do-i-keep-getting-this-error-runtimewarning-overflow-encountered-in-int-sc/53240100). | https://api.github.com/repos/huggingface/datasets/issues/2336/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2335/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2335/comments | https://api.github.com/repos/huggingface/datasets/issues/2335/events | https://github.com/huggingface/datasets/issues/2335 | 881,291,887 | MDU6SXNzdWU4ODEyOTE4ODc= | 2,335 | Index error in Dataset.map | {
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] | closed | false | null | [] | null | [] | 1,620,506,697,000 | 1,620,653,172,000 | 1,620,653,172,000 | CONTRIBUTOR | null | null | The following code, if executed on master, raises an IndexError (due to overflow):
```python
>>> from datasets import *
>>> d = load_dataset("bookcorpus", split="train")
Reusing dataset bookcorpus (C:\Users\Mario\.cache\huggingface\datasets\bookcorpus\plain_text\1.0.0\44662c4a114441c35200992bea923b170e6f13f2f0beb7c... | https://api.github.com/repos/huggingface/datasets/issues/2335/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2334 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2334/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2334/comments | https://api.github.com/repos/huggingface/datasets/issues/2334/events | https://github.com/huggingface/datasets/pull/2334 | 879,810,107 | MDExOlB1bGxSZXF1ZXN0NjMzNTAzNTEw | 2,334 | Updating the DART file checksums in GEM | {
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"@sebastianGehrmann "
] | 1,620,424,424,000 | 1,620,425,890,000 | 1,620,425,890,000 | MEMBER | null | {
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} | The DART files were just updated on the source GitHub
https://github.com/Yale-LILY/dart/commit/34b3c872da4811523e334f1631e54ca8105dffab | https://api.github.com/repos/huggingface/datasets/issues/2334/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2333/comments | https://api.github.com/repos/huggingface/datasets/issues/2333/events | https://github.com/huggingface/datasets/pull/2333 | 879,214,067 | MDExOlB1bGxSZXF1ZXN0NjMyOTUwNzIy | 2,333 | Fix duplicate keys | {
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"- @jplu "
] | 1,620,401,288,000 | 1,620,510,451,000 | 1,620,403,028,000 | MEMBER | null | {
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} | As noticed in https://github.com/huggingface/datasets/pull/2245, many datasets yield duplicate keys.
Most of the time it was because the counter used for ids were reset at each new data file. | https://api.github.com/repos/huggingface/datasets/issues/2333/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2332/comments | https://api.github.com/repos/huggingface/datasets/issues/2332/events | https://github.com/huggingface/datasets/pull/2332 | 879,041,608 | MDExOlB1bGxSZXF1ZXN0NjMyNzk1NDE4 | 2,332 | Add note about indices mapping in save_to_disk docstring | {
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https://api.github.com/repos/huggingface/datasets/issues/2331 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2331/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2331/comments | https://api.github.com/repos/huggingface/datasets/issues/2331/events | https://github.com/huggingface/datasets/issues/2331 | 879,031,427 | MDU6SXNzdWU4NzkwMzE0Mjc= | 2,331 | Add Topical-Chat | {
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- **Name:** Topical-Chat
- **Description:** a knowledge-grounded human-human conversation dataset where the underlying knowledge spans 8 broad topics and conversation partners don’t have explicitly defined roles
- **Paper:** https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3079.pdf
- **... | https://api.github.com/repos/huggingface/datasets/issues/2331/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2330/comments | https://api.github.com/repos/huggingface/datasets/issues/2330/events | https://github.com/huggingface/datasets/issues/2330 | 878,490,927 | MDU6SXNzdWU4Nzg0OTA5Mjc= | 2,330 | Allow passing `desc` to `tqdm` in `Dataset.map()` | {
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"Hi @lhoestq,\r\nShould we change `desc` in [pbar](https://github.com/huggingface/datasets/blob/81fcf88172ed5e3026ef68aed4c0ec6980372333/src/datasets/arrow_dataset.py#L1860) to something meaningful?",
"I think the user could pass the `desc` parameter to `map` so that it can be displayed in the tqdm progress bar, ... | 1,620,366,774,000 | 1,622,041,161,000 | 1,622,041,161,000 | CONTRIBUTOR | null | null | It's normal to have many `map()` calls, and some of them can take a few minutes,
it would be nice to have a description on the progress bar.
Alternative solution:
Print the description before/after the `map()` call. | https://api.github.com/repos/huggingface/datasets/issues/2330/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2329/comments | https://api.github.com/repos/huggingface/datasets/issues/2329/events | https://github.com/huggingface/datasets/pull/2329 | 877,924,198 | MDExOlB1bGxSZXF1ZXN0NjMxODA3MTk0 | 2,329 | Add cache dir for in-memory datasets | {
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"Yes, having `cache_dir` as an attribute looks cleaner.\r\n\r\n\r\n\r\n",
"Good job! Looking forward to this new feature! 🥂",
"@lhoestq Sorry for the late reply. Yes, I'll start working on tests. Thanks for the detailed explanation of the current issues with caching (like the idea of adding the `use_caching` p... | 1,620,329,732,000 | 1,623,181,608,000 | 1,623,179,206,000 | CONTRIBUTOR | null | {
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Should fix #2322 | https://api.github.com/repos/huggingface/datasets/issues/2329/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2328/comments | https://api.github.com/repos/huggingface/datasets/issues/2328/events | https://github.com/huggingface/datasets/pull/2328 | 877,673,896 | MDExOlB1bGxSZXF1ZXN0NjMxNTg2MzU2 | 2,328 | Add Matthews/Pearson/Spearman correlation metrics | {
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} | Added three metrics:
- The Matthews correlation coefficient (from sklearn)
- The Pearson correlation coefficient (from scipy)
- The Spearman correlation coefficient (from scipy)
cc @sgugger | https://api.github.com/repos/huggingface/datasets/issues/2328/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2327/comments | https://api.github.com/repos/huggingface/datasets/issues/2327/events | https://github.com/huggingface/datasets/issues/2327 | 877,565,831 | MDU6SXNzdWU4Nzc1NjU4MzE= | 2,327 | A syntax error in example | {
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"cc @beurkinger but I think this has been fixed internally and will soon be updated right ?",
"This issue has been fixed."
] | 1,620,311,684,000 | 1,621,479,859,000 | 1,621,479,859,000 | NONE | null | null | 
Sorry to report with an image, I can't find the template source code of this snippet. | https://api.github.com/repos/huggingface/datasets/issues/2327/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2326/comments | https://api.github.com/repos/huggingface/datasets/issues/2326/events | https://github.com/huggingface/datasets/pull/2326 | 876,829,254 | MDExOlB1bGxSZXF1ZXN0NjMwODk3MjI4 | 2,326 | Enable auto-download for PAN-X / Wikiann domain in XTREME | {
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} | This PR replaces the manual download of the `PAN-X.lang` domains with an auto-download from a Dropbox link provided by the Wikiann author. We also add the relevant dummy data for these domains.
While re-generating `dataset_infos.json` I ran into a `KeyError` in the `udpos.Arabic` domain so have included a fix for th... | https://api.github.com/repos/huggingface/datasets/issues/2326/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2325/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2325/comments | https://api.github.com/repos/huggingface/datasets/issues/2325/events | https://github.com/huggingface/datasets/pull/2325 | 876,653,121 | MDExOlB1bGxSZXF1ZXN0NjMwNzU1MzIx | 2,325 | Added the HLGD dataset | {
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"Is there anything else needed from my end?",
"Thanks Bhavitvya and Quentin, this was very streamlined!"
] | 1,620,233,609,000 | 1,620,831,313,000 | 1,620,828,998,000 | CONTRIBUTOR | null | {
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} | Added the Headline Grouping Dataset (HLGD), from the NAACL2021 paper: News Headline Grouping as a Challenging NLU Task
Dataset Link: https://github.com/tingofurro/headline_grouping
Paper link: https://people.eecs.berkeley.edu/~phillab/pdfs/NAACL2021_HLG.pdf | https://api.github.com/repos/huggingface/datasets/issues/2325/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2324/comments | https://api.github.com/repos/huggingface/datasets/issues/2324/events | https://github.com/huggingface/datasets/pull/2324 | 876,602,064 | MDExOlB1bGxSZXF1ZXN0NjMwNzE1NTQz | 2,324 | Create Audio feature | {
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"For optimal storage, it would be better to:\r\n- store only the audio file path in the cache Arrow file\r\n- perform decoding of the audio file (into audio array and sample rate) on the fly, while loading the dataset from cache (or by adding a convenient `load_audio` function)",
"Thanks a lot @lhoestq for your h... | 1,620,230,122,000 | 1,632,295,573,000 | null | MEMBER | null | {
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} | Create `Audio` feature to handle raw audio files.
Some decisions to be further discussed:
- I have chosen `soundfile` as the audio library; another interesting library is `librosa`, but this requires `soundfile` (see [here](https://github.com/librosa/librosa/blob/main/setup.cfg#L53)). If we require some more advanc... | https://api.github.com/repos/huggingface/datasets/issues/2324/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2323/comments | https://api.github.com/repos/huggingface/datasets/issues/2323/events | https://github.com/huggingface/datasets/issues/2323 | 876,438,507 | MDU6SXNzdWU4NzY0Mzg1MDc= | 2,323 | load_dataset("timit_asr") gives back duplicates of just one sample text | {
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"Upgrading datasets to version 1.6 fixes the issue",
"This bug was fixed in #1995. Upgrading the `datasets` should work! ",
"Thanks @ekeleshian for having reported.\r\n\r\nI am closing this issue once that you updated `datasets`. Feel free to reopen it if the problem persists."
] | 1,620,220,488,000 | 1,620,383,550,000 | 1,620,383,550,000 | NONE | null | null | ## Describe the bug
When you look up on key ["train"] and then ['text'], you get back a list with just one sentence duplicated 4620 times. Namely, the sentence "Would such an act of refusal be useful?". Similarly when you look up ['test'] and then ['text'], the list is one sentence repeated "The bungalow was pleasant... | https://api.github.com/repos/huggingface/datasets/issues/2323/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2322/comments | https://api.github.com/repos/huggingface/datasets/issues/2322/events | https://github.com/huggingface/datasets/issues/2322 | 876,383,853 | MDU6SXNzdWU4NzYzODM4NTM= | 2,322 | Calls to map are not cached. | {
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"I tried upgrading to `datasets==1.6.2` and downgrading to `1.6.0`. Both versions produce the same output.\r\n\r\nDowngrading to `1.5.0` works and produces the following output for me:\r\n\r\n```bash\r\nDownloading: 9.20kB [00:00, 3.94MB/s] \r\nDownloading: 5.99kB [00:00, 3.29MB/s] ... | 1,620,216,687,000 | 1,623,179,402,000 | 1,623,179,301,000 | NONE | null | null | ## Describe the bug
Somehow caching does not work for me anymore. Am I doing something wrong, or is there anything that I missed?
## Steps to reproduce the bug
```python
import datasets
datasets.set_caching_enabled(True)
sst = datasets.load_dataset("sst")
def foo(samples, i):
print("executed", i[:10])... | https://api.github.com/repos/huggingface/datasets/issues/2322/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2321 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2321/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2321/comments | https://api.github.com/repos/huggingface/datasets/issues/2321/events | https://github.com/huggingface/datasets/pull/2321 | 876,304,364 | MDExOlB1bGxSZXF1ZXN0NjMwNDc3NDUy | 2,321 | Set encoding in OSCAR dataset | {
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} | Set explicit `utf-8` encoding in OSCAR dataset, to avoid using the system default `cp1252` on Windows platforms.
Fix #2319. | https://api.github.com/repos/huggingface/datasets/issues/2321/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2320/comments | https://api.github.com/repos/huggingface/datasets/issues/2320/events | https://github.com/huggingface/datasets/pull/2320 | 876,257,026 | MDExOlB1bGxSZXF1ZXN0NjMwNDM5NjI5 | 2,320 | Set default name in init_dynamic_modules | {
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Close #2318. | https://api.github.com/repos/huggingface/datasets/issues/2320/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2319/comments | https://api.github.com/repos/huggingface/datasets/issues/2319/events | https://github.com/huggingface/datasets/issues/2319 | 876,251,376 | MDU6SXNzdWU4NzYyNTEzNzY= | 2,319 | UnicodeDecodeError for OSCAR (Afrikaans) | {
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"Thanks for reporting, @sgraaf.\r\n\r\nI am going to have a look at it. \r\n\r\nI guess the expected codec is \"UTF-8\". Normally, when no explicitly codec is passed, Python uses one which is platform-dependent. For Linux machines, the default codec is `utf_8`, which is OK. However for Windows machine, the default ... | 1,620,206,572,000 | 1,620,212,251,000 | 1,620,211,855,000 | NONE | null | null | ## Describe the bug
When loading the [OSCAR dataset](https://huggingface.co/datasets/oscar) (specifically `unshuffled_deduplicated_af`), I encounter a `UnicodeDecodeError`.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("oscar", "unshuffled_deduplicated_af")
```... | https://api.github.com/repos/huggingface/datasets/issues/2319/timeline | null | false |
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"Hi @richardliaw, \r\n\r\nFirst, thanks for the compliments.\r\n\r\nIn relation with your request, currently, the dynamic modules path is obtained this way:\r\n```python\r\nfrom datasets.load import init_dynamic_modules, MODULE_NAME_FOR_DYNAMIC_MODULES\r\n\r\ndynamic_modules_path = init_dynamic_modules(MODULE_NAME_... | 1,620,204,048,000 | 1,620,290,745,000 | 1,620,287,874,000 | NONE | null | null | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
This is an awesome library.
It seems like the dynamic module path in this library has broken some of hyperparameter tuning functionality: https://discuss.huggingface.co/t/using-hyperparamet... | https://api.github.com/repos/huggingface/datasets/issues/2318/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2317/comments | https://api.github.com/repos/huggingface/datasets/issues/2317/events | https://github.com/huggingface/datasets/pull/2317 | 875,767,318 | MDExOlB1bGxSZXF1ZXN0NjMwMDQxNzc4 | 2,317 | Fix incorrect version specification for the pyarrow package | {
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} | This PR addresses the bug in the pyarrow version specification, which is detailed in #2316 .
Simply, I put a comma between the version bounds.
Fix #2316. | https://api.github.com/repos/huggingface/datasets/issues/2317/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2316/comments | https://api.github.com/repos/huggingface/datasets/issues/2316/events | https://github.com/huggingface/datasets/issues/2316 | 875,756,353 | MDU6SXNzdWU4NzU3NTYzNTM= | 2,316 | Incorrect version specification for pyarrow | {
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"Fixed by #2317."
] | 1,620,155,711,000 | 1,620,209,403,000 | 1,620,209,403,000 | CONTRIBUTOR | null | null | ## Describe the bug
The pyarrow dependency is incorrectly specified in setup.py file, in [this line](https://github.com/huggingface/datasets/blob/3a3e5a4da20bfcd75f8b6a6869b240af8feccc12/setup.py#L77).
Also as a snippet:
```python
"pyarrow>=1.0.0<4.0.0",
```
## Steps to reproduce the bug
```bash
pip install... | https://api.github.com/repos/huggingface/datasets/issues/2316/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2315/comments | https://api.github.com/repos/huggingface/datasets/issues/2315/events | https://github.com/huggingface/datasets/pull/2315 | 875,742,200 | MDExOlB1bGxSZXF1ZXN0NjMwMDIyMDYy | 2,315 | Datasets cli improvements | {
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"Additionally, I've deleted the points that are not very relevant for this repo (I guess the deleted points originate from the transformers repo). With this change, running `datasets-cli` is identical to copy-pasting the code from `bug_report.md`, but is more elegant because it doesn't require launching the REPL an... | 1,620,154,511,000 | 1,620,664,611,000 | 1,620,664,610,000 | CONTRIBUTOR | null | {
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} | This PR:
* replaces the code from the `bug_report.md` that was used to get relevant system info with a dedicated command (a more elegant approach than copy-pasting the code IMO)
* removes the `download` command (copied from the transformers repo?)
* adds missing help messages to the cli commands
| https://api.github.com/repos/huggingface/datasets/issues/2315/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2314 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2314/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2314/comments | https://api.github.com/repos/huggingface/datasets/issues/2314/events | https://github.com/huggingface/datasets/pull/2314 | 875,729,271 | MDExOlB1bGxSZXF1ZXN0NjMwMDExODc4 | 2,314 | Minor refactor prepare_module | {
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"@lhoestq this is the PR that I mentioned to you, which can be considered as a first step in refactoring `prepare_module`."
] | 1,620,153,446,000 | 1,626,418,799,000 | null | MEMBER | null | {
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This PR does:
- extract function `_initialize_dynamic_modules_namespace_package`
- extract function `_find_module_in_github_or_s3`
- some renaming of variables
- use of f-strings | https://api.github.com/repos/huggingface/datasets/issues/2314/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2313/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2313/comments | https://api.github.com/repos/huggingface/datasets/issues/2313/events | https://github.com/huggingface/datasets/pull/2313 | 875,475,367 | MDExOlB1bGxSZXF1ZXN0NjI5ODEwNTc4 | 2,313 | Remove unused head_hf_s3 function | {
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} | Currently, the function `head_hf_s3` is not used:
- neither its returned result is used
- nor it raises any exception, as exceptions are catched and returned (not raised)
This PR removes it. | https://api.github.com/repos/huggingface/datasets/issues/2313/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2312/comments | https://api.github.com/repos/huggingface/datasets/issues/2312/events | https://github.com/huggingface/datasets/pull/2312 | 875,435,726 | MDExOlB1bGxSZXF1ZXN0NjI5Nzc4NjUz | 2,312 | Add rename_columnS method | {
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"Merging then 😄 "
] | 1,620,133,073,000 | 1,620,135,793,000 | 1,620,135,792,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2311/comments | https://api.github.com/repos/huggingface/datasets/issues/2311/events | https://github.com/huggingface/datasets/pull/2311 | 875,262,208 | MDExOlB1bGxSZXF1ZXN0NjI5NjQwNTMx | 2,311 | Add SLR52, SLR53 and SLR54 to OpenSLR | {
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"Hi @lhoestq , I am not sure about the error message:\r\n```\r\n#!/bin/bash -eo pipefail\r\n./scripts/datasets_metadata_validator.py\r\nWARNING:root:❌ Failed to validate 'datasets/openslr/README.md':\r\n__init__() got an unexpected keyword argument 'SLR32'\r\nINFO:root:❌ Failed on 1 files.\r\n\r\nExited with code e... | 1,620,119,283,000 | 1,620,381,055,000 | 1,620,381,055,000 | CONTRIBUTOR | null | {
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} | Add large speech datasets for Sinhala, Bengali and Nepali. | https://api.github.com/repos/huggingface/datasets/issues/2311/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2310/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2310/comments | https://api.github.com/repos/huggingface/datasets/issues/2310/events | https://github.com/huggingface/datasets/pull/2310 | 875,096,051 | MDExOlB1bGxSZXF1ZXN0NjI5NTEwNTg5 | 2,310 | Update README.md | {
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"Hi @cryoff, thanks for completing the dataset card.\r\n\r\nNow there is an automatic validation tool to assure that all dataset cards contain all the relevant information. This is the cause of the non-passing test on your Pull Request:\r\n```\r\nFound fields that are not non-empty list of strings: {'annotations_cr... | 1,620,103,081,000 | 1,620,110,159,000 | null | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2309 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2309/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2309/comments | https://api.github.com/repos/huggingface/datasets/issues/2309/events | https://github.com/huggingface/datasets/pull/2309 | 874,644,990 | MDExOlB1bGxSZXF1ZXN0NjI5MTU4NjQx | 2,309 | Fix conda release | {
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} | There were a few issues with conda releases (they've been failing for a while now).
To fix this I had to:
- add the --single-version-externally-managed tag to the build stage (suggestion from [here](https://stackoverflow.com/a/64825075))
- set the python version of the conda build stage to 3.8 since 3.9 isn't suppor... | https://api.github.com/repos/huggingface/datasets/issues/2309/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2308/comments | https://api.github.com/repos/huggingface/datasets/issues/2308/events | https://github.com/huggingface/datasets/issues/2308 | 874,559,846 | MDU6SXNzdWU4NzQ1NTk4NDY= | 2,308 | Add COCO evaluation metrics | {
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"Hi @NielsRogge, \r\nI'd like to contribute these metrics to datasets. Let's start with `CocoEvaluator` first? Currently how are are you sending the ground truths and predictions in coco_evaluator?\r\n",
"Great!\r\n\r\nHere's a notebook that illustrates how I'm using `CocoEvaluator`: https://drive.google.com/file... | 1,620,047,285,000 | 1,622,790,687,000 | null | NONE | null | null | I'm currently working on adding Facebook AI's DETR model (end-to-end object detection with Transformers) to HuggingFace Transformers. The model is working fine, but regarding evaluation, I'm currently relying on external `CocoEvaluator` and `PanopticEvaluator` objects which are defined in the original repository ([here... | https://api.github.com/repos/huggingface/datasets/issues/2308/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2302/comments | https://api.github.com/repos/huggingface/datasets/issues/2302/events | https://github.com/huggingface/datasets/pull/2302 | 873,961,435 | MDExOlB1bGxSZXF1ZXN0NjI4NjIzMDQ3 | 2,302 | Add SubjQA dataset | {
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"I'm not sure why the windows test fails, but looking at the logs it looks like some caching issue on one of the metrics ... maybe re-run and 🤞 ?",
"Hi @lewtun, thanks for adding this dataset!\r\n\r\nIf the dataset is going to be referenced heavily, I think it's worth spending some time to make the dataset card ... | 1,619,967,080,000 | 1,620,638,479,000 | 1,620,638,479,000 | MEMBER | null | {
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} | Hello datasetters 🙂!
Here's an interesting dataset about extractive question-answering on _subjective_ product / restaurant reviews. It's quite challenging for models fine-tuned on SQuAD and provides a nice example of domain adaptation (i.e. fine-tuning a SQuAD model on this domain gives better performance).
I f... | https://api.github.com/repos/huggingface/datasets/issues/2302/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2301/comments | https://api.github.com/repos/huggingface/datasets/issues/2301/events | https://github.com/huggingface/datasets/issues/2301 | 873,941,266 | MDU6SXNzdWU4NzM5NDEyNjY= | 2,301 | Unable to setup dev env on Windows | {
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"Hi @gchhablani, \r\n\r\nThere are some 3rd-party dependencies that require to build code in C. In this case, it is the library `python-Levenshtein`.\r\n\r\nOn Windows, in order to be able to build C code, you need to install at least `Microsoft C++ Build Tools` version 14. You can find more info here: https://visu... | 1,619,961,642,000 | 1,620,055,081,000 | 1,620,055,054,000 | CONTRIBUTOR | null | null | Hi
I tried installing the `".[dev]"` version on Windows 10 after cloning.
Here is the error I'm facing:
```bat
(env) C:\testing\datasets>pip install -e ".[dev]"
Obtaining file:///C:/testing/datasets
Requirement already satisfied: numpy>=1.17 in c:\programdata\anaconda3\envs\env\lib\site-packages (from datas... | https://api.github.com/repos/huggingface/datasets/issues/2301/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2300 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2300/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2300/comments | https://api.github.com/repos/huggingface/datasets/issues/2300/events | https://github.com/huggingface/datasets/issues/2300 | 873,928,169 | MDU6SXNzdWU4NzM5MjgxNjk= | 2,300 | Add VoxPopuli | {
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"I'm happy to take this on:) One question: The original unlabelled data is stored unsegmented (see e.g. https://github.com/facebookresearch/voxpopuli/blob/main/voxpopuli/get_unlabelled_data.py#L30), but segmenting the audio in the dataset would require a dependency on something like soundfile or torchaudio. An alte... | 1,619,957,860,000 | 1,620,901,912,000 | null | MEMBER | null | null | ## Adding a Dataset
- **Name:** Voxpopuli
- **Description:** VoxPopuli is raw data is collected from 2009-2020 European Parliament event recordings
- **Paper:** https://arxiv.org/abs/2101.00390
- **Data:** https://github.com/facebookresearch/voxpopuli
- **Motivation:** biggest unlabeled speech dataset
**Note**:... | https://api.github.com/repos/huggingface/datasets/issues/2300/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2299/comments | https://api.github.com/repos/huggingface/datasets/issues/2299/events | https://github.com/huggingface/datasets/issues/2299 | 873,914,717 | MDU6SXNzdWU4NzM5MTQ3MTc= | 2,299 | My iPhone | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | https://api.github.com/repos/huggingface/datasets/issues/2299/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2298 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2298/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2298/comments | https://api.github.com/repos/huggingface/datasets/issues/2298/events | https://github.com/huggingface/datasets/pull/2298 | 873,771,942 | MDExOlB1bGxSZXF1ZXN0NjI4NDk2NjM2 | 2,298 | Mapping in the distributed setting | {
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https://api.github.com/repos/huggingface/datasets/issues/2296 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2296/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2296/comments | https://api.github.com/repos/huggingface/datasets/issues/2296/events | https://github.com/huggingface/datasets/issues/2296 | 872,974,907 | MDU6SXNzdWU4NzI5NzQ5MDc= | 2,296 | 1 | {
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- **Paper:** *link to the dataset paper if available*
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https://api.github.com/repos/huggingface/datasets/issues/2295 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2295/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2295/comments | https://api.github.com/repos/huggingface/datasets/issues/2295/events | https://github.com/huggingface/datasets/pull/2295 | 872,902,867 | MDExOlB1bGxSZXF1ZXN0NjI3NzY0NDk3 | 2,295 | Create ExtractManager | {
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"Hi @lhoestq,\r\n\r\nOnce that #2578 has been merged, I would like to ask you to have a look at this PR: it implements the same logic as the one in #2578 but for all the other file compression formats.\r\n\r\nThanks.",
"I think all is done @lhoestq ;)"
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https://api.github.com/repos/huggingface/datasets/issues/2294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2294/comments | https://api.github.com/repos/huggingface/datasets/issues/2294/events | https://github.com/huggingface/datasets/issues/2294 | 872,136,075 | MDU6SXNzdWU4NzIxMzYwNzU= | 2,294 | Slow #0 when using map to tokenize. | {
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"Hi ! Have you tried other values for `preprocessing_num_workers` ? Is it always process 0 that is slower ?\r\nThere are no difference between process 0 and the others except that it processes the first shard of the dataset.",
"Hi, I have found the reason of it. Before using the map function to tokenize the data,... | 1,619,769,633,000 | 1,620,126,011,000 | null | NONE | null | null | Hi, _datasets_ is really amazing! I am following [run_mlm_no_trainer.py](url) to pre-train BERT, and it uses `tokenized_datasets = raw_datasets.map(
tokenize_function,
batched=True,
num_proc=args.preprocessing_num_workers,
remove_columns=column_names,
loa... | https://api.github.com/repos/huggingface/datasets/issues/2294/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2293 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2293/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2293/comments | https://api.github.com/repos/huggingface/datasets/issues/2293/events | https://github.com/huggingface/datasets/pull/2293 | 872,079,385 | MDExOlB1bGxSZXF1ZXN0NjI3MDQzNzQ3 | 2,293 | imdb dataset from Don't Stop Pretraining Paper | {
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https://api.github.com/repos/huggingface/datasets/issues/2292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2292/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2292/comments | https://api.github.com/repos/huggingface/datasets/issues/2292/events | https://github.com/huggingface/datasets/pull/2292 | 871,230,183 | MDExOlB1bGxSZXF1ZXN0NjI2MjgzNTYy | 2,292 | Fixed typo seperate->separate | {
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https://api.github.com/repos/huggingface/datasets/issues/2291 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2291/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2291/comments | https://api.github.com/repos/huggingface/datasets/issues/2291/events | https://github.com/huggingface/datasets/pull/2291 | 871,216,757 | MDExOlB1bGxSZXF1ZXN0NjI2MjcyNzE5 | 2,291 | Don't copy recordbatches in memory during a table deepcopy | {
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} | Fix issue #2276 and hopefully #2134
The recordbatches of the `IndexedTableMixin` used to speed up queries to the table were copied in memory during a table deepcopy.
This resulted in `concatenate_datasets`, `load_from_disk` and other methods to always bring the data in memory.
I fixed the copy similarly to #2287... | https://api.github.com/repos/huggingface/datasets/issues/2291/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2290/comments | https://api.github.com/repos/huggingface/datasets/issues/2290/events | https://github.com/huggingface/datasets/pull/2290 | 871,145,817 | MDExOlB1bGxSZXF1ZXN0NjI2MjEyNTIz | 2,290 | Bbaw egyptian | {
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"Hi @phiwi,\r\n\r\nThanks for contributing this nice dataset. If you have any blocking problem or question, do not hesitate to ask here. We are pleased to help you.\r\n\r\nCould you please first synchronize with our master branch? From your branch `bbaw_egyptian`, type:\r\n```\r\ngit fetch upstream master\r\ngit me... | 1,619,710,078,000 | 1,620,321,925,000 | 1,620,321,925,000 | CONTRIBUTOR | null | {
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} | This is the "hieroglyph corpus" that I could unfortunately not contribute during the marathon. I re-extracted it again now, so that it is in the state as used in my paper (seee documentation). I hope it satiesfies your requirements and wish every scientist out their loads of fun deciphering a 5.000 years old language :... | https://api.github.com/repos/huggingface/datasets/issues/2290/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2289 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2289/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2289/comments | https://api.github.com/repos/huggingface/datasets/issues/2289/events | https://github.com/huggingface/datasets/pull/2289 | 871,118,573 | MDExOlB1bGxSZXF1ZXN0NjI2MTg5MDU3 | 2,289 | Allow collaborators to self-assign issues | {
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"What do you think, @lhoestq? 😉 \r\n\r\nI think this could be another step to facilitate community contributions.",
"@lhoestq, it doesn't exist in `transformers`... I picked the idea from `scikit-learn`, where I have previously collaborated...\r\n\r\nAnd sure, this must be documented! I just wanted first to know... | 1,619,708,826,000 | 1,619,807,296,000 | 1,619,807,296,000 | MEMBER | null | {
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} | Allow collaborators (without write access to the repository) to self-assign issues.
In order to self-assign an issue, they have to comment it with the word: `#take` or `#self-assign`. | https://api.github.com/repos/huggingface/datasets/issues/2289/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2288 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2288/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2288/comments | https://api.github.com/repos/huggingface/datasets/issues/2288/events | https://github.com/huggingface/datasets/issues/2288 | 871,111,235 | MDU6SXNzdWU4NzExMTEyMzU= | 2,288 | Load_dataset for local CSV files | {
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"Hi,\r\n\r\nthis is not a standard CSV file (requires additional preprocessing) so I wouldn't label this as s bug. You could parse the examples with the regex module or the string API to extract the data, but the following approach is probably the easiest (once you load the data):\r\n```python\r\nimport ast\r\n# lo... | 1,619,708,470,000 | 1,623,764,966,000 | 1,623,764,966,000 | NONE | null | null | The method load_dataset fails to correctly load a dataset from csv.
Moreover, I am working on a token-classification task ( POS tagging) , where each row in my CSV contains two columns each of them having a list of strings.
row example:
```tokens | labels
['I' , 'am', 'John'] | ['PRON', 'AUX', 'PROPN' ]
``... | https://api.github.com/repos/huggingface/datasets/issues/2288/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2287/comments | https://api.github.com/repos/huggingface/datasets/issues/2287/events | https://github.com/huggingface/datasets/pull/2287 | 871,063,374 | MDExOlB1bGxSZXF1ZXN0NjI2MTQ0MTQ3 | 2,287 | Avoid copying table's record batches | {
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"Thanks for fixing it. I actually included a similar fix in #2291 along with some updates in tests\r\nI'm closing this one in favor of #2291 if you don't mind.\r\n\r\nThanks again !"
] | 1,619,705,701,000 | 1,619,714,063,000 | 1,619,714,062,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2286/comments | https://api.github.com/repos/huggingface/datasets/issues/2286/events | https://github.com/huggingface/datasets/pull/2286 | 871,032,393 | MDExOlB1bGxSZXF1ZXN0NjI2MTE5MTE2 | 2,286 | Fix metadata validation with config names | {
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https://api.github.com/repos/huggingface/datasets/issues/2285 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2285/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2285/comments | https://api.github.com/repos/huggingface/datasets/issues/2285/events | https://github.com/huggingface/datasets/issues/2285 | 871,005,236 | MDU6SXNzdWU4NzEwMDUyMzY= | 2,285 | Help understanding how to build a dataset for language modeling as with the old TextDataset | {
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"\r\nI received an answer for this question on the HuggingFace Datasets forum by @lhoestq\r\n\r\nHi !\r\n\r\nIf you want to tokenize line by line, you can use this:\r\n\r\n```\r\nmax_seq_length = 512\r\nnum_proc = 4\r\n\r\ndef tokenize_function(examples):\r\n# Remove empty lines\r\nexamples[\"text\"] = [line for li... | 1,619,702,205,000 | 1,621,408,965,000 | 1,621,408,959,000 | NONE | null | null | Hello,
I am trying to load a custom dataset that I will then use for language modeling. The dataset consists of a text file that has a whole document in each line, meaning that each line overpasses the normal 512 tokens limit of most tokenizers.
I would like to understand what is the process to build a text datas... | https://api.github.com/repos/huggingface/datasets/issues/2285/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2284/comments | https://api.github.com/repos/huggingface/datasets/issues/2284/events | https://github.com/huggingface/datasets/pull/2284 | 870,932,710 | MDExOlB1bGxSZXF1ZXN0NjI2MDM5MDc5 | 2,284 | Initialize Imdb dataset as used in Don't Stop Pretraining Paper | {
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https://api.github.com/repos/huggingface/datasets/issues/2281 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2281/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2281/comments | https://api.github.com/repos/huggingface/datasets/issues/2281/events | https://github.com/huggingface/datasets/pull/2281 | 870,792,784 | MDExOlB1bGxSZXF1ZXN0NjI1OTI2MjAw | 2,281 | Update multi_woz_v22 checksum | {
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The files were changed in https://github.com/budzianowski/multiwoz/pull/72 | https://api.github.com/repos/huggingface/datasets/issues/2281/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2280/comments | https://api.github.com/repos/huggingface/datasets/issues/2280/events | https://github.com/huggingface/datasets/pull/2280 | 870,780,431 | MDExOlB1bGxSZXF1ZXN0NjI1OTE2Mzcy | 2,280 | Fixed typo seperate->separate | {
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"Hi ! Thanks for the fix :)\r\nThe CI fail isn't related to your PR. I opened a PR #2286 to fix the CI.\r\nWe'll wait for #2286 to be merged to master first if you don't mind",
"The PR has been merged ! Feel free to merge master into your branch to fix the CI"
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https://api.github.com/repos/huggingface/datasets/issues/2279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2279/comments | https://api.github.com/repos/huggingface/datasets/issues/2279/events | https://github.com/huggingface/datasets/issues/2279 | 870,431,662 | MDU6SXNzdWU4NzA0MzE2NjI= | 2,279 | Compatibility with Ubuntu 18 and GLIBC 2.27? | {
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"From the trace this seems like an error in the tokenizer library instead.\r\n\r\nDo you mind opening an issue at https://github.com/huggingface/tokenizers instead?",
"Hi @tginart, thanks for reporting.\r\n\r\nI think this issue is already open at `tokenizers` library: https://github.com/huggingface/tokenizers/is... | 1,619,647,687,000 | 1,619,682,162,000 | 1,619,682,162,000 | NONE | null | null | ## Describe the bug
For use on Ubuntu systems, it seems that datasets requires GLIBC 2.29. However, Ubuntu 18 runs with GLIBC 2.27 and it seems [non-trivial to upgrade GLIBC to 2.29 for Ubuntu 18 users](https://www.digitalocean.com/community/questions/how-install-glibc-2-29-or-higher-in-ubuntu-18-04).
I'm not sure... | https://api.github.com/repos/huggingface/datasets/issues/2279/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2278 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2278/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2278/comments | https://api.github.com/repos/huggingface/datasets/issues/2278/events | https://github.com/huggingface/datasets/issues/2278 | 870,088,059 | MDU6SXNzdWU4NzAwODgwNTk= | 2,278 | Loss result inGptNeoForCasual | {
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"Hi ! I think you might have to ask on the `transformers` repo on or the forum at https://discuss.huggingface.co/\r\n\r\nClosing since it's not related to this library"
] | 1,619,624,392,000 | 1,620,317,663,000 | 1,620,317,663,000 | NONE | null | null | Is there any way you give the " loss" and "logits" results in the gpt neo api? | https://api.github.com/repos/huggingface/datasets/issues/2278/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2277 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2277/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2277/comments | https://api.github.com/repos/huggingface/datasets/issues/2277/events | https://github.com/huggingface/datasets/pull/2277 | 870,071,994 | MDExOlB1bGxSZXF1ZXN0NjI1MzI5NjIz | 2,277 | Create CacheManager | {
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https://api.github.com/repos/huggingface/datasets/issues/2276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2276/comments | https://api.github.com/repos/huggingface/datasets/issues/2276/events | https://github.com/huggingface/datasets/issues/2276 | 870,010,511 | MDU6SXNzdWU4NzAwMTA1MTE= | 2,276 | concatenate_datasets loads all the data into memory | {
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"Therefore, when I try to concatenate larger datasets (5x 35GB data sets) I also get an out of memory error, since over 90GB of swap space was used at the time of the crash:\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nMemoryError Traceba... | 1,619,620,041,000 | 1,620,031,315,000 | 1,620,031,315,000 | NONE | null | null | ## Describe the bug
When I try to concatenate 2 datasets (10GB each) , the entire data is loaded into memory instead of being written directly to disk.
Interestingly, this happens when trying to save the new dataset to disk or concatenating it again.
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https://api.github.com/repos/huggingface/datasets/issues/2275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2275/comments | https://api.github.com/repos/huggingface/datasets/issues/2275/events | https://github.com/huggingface/datasets/issues/2275 | 869,378,311 | MDU6SXNzdWU4NjkzNzgzMTE= | 2,275 | SNLI dataset has labels of -1 | {
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"Hi @puzzler10, \r\nThose examples where `gold_label` field was empty, -1 label was alloted to it. In order to remove it you can filter the samples from train/val/test splits. Here's how you can drop those rows from the dataset:\r\n`dataset = load_dataset(\"snli\")`\r\n`dataset_test_filter = dataset['test'].filter(... | 1,619,569,945,000 | 1,621,258,458,000 | 1,621,258,458,000 | NONE | null | null | There are a number of rows with a label of -1 in the SNLI dataset. The dataset descriptions [here](https://nlp.stanford.edu/projects/snli/) and [here](https://github.com/huggingface/datasets/tree/master/datasets/snli) don't list -1 as a label possibility, and neither does the dataset viewer. As examples, see index 107... | https://api.github.com/repos/huggingface/datasets/issues/2275/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2274 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2274/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2274/comments | https://api.github.com/repos/huggingface/datasets/issues/2274/events | https://github.com/huggingface/datasets/pull/2274 | 869,186,276 | MDExOlB1bGxSZXF1ZXN0NjI0NTkyMjQx | 2,274 | Always update metadata in arrow schema | {
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For each function that transforms the feature types of the dataset, I added ... | https://api.github.com/repos/huggingface/datasets/issues/2274/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2273 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2273/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2273/comments | https://api.github.com/repos/huggingface/datasets/issues/2273/events | https://github.com/huggingface/datasets/pull/2273 | 869,046,290 | MDExOlB1bGxSZXF1ZXN0NjI0NDcxODc1 | 2,273 | Added CUAD metrics | {
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https://api.github.com/repos/huggingface/datasets/issues/2272 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2272/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2272/comments | https://api.github.com/repos/huggingface/datasets/issues/2272/events | https://github.com/huggingface/datasets/issues/2272 | 869,017,977 | MDU6SXNzdWU4NjkwMTc5Nzc= | 2,272 | Bug in Dataset.class_encode_column | {
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"This has been fixed in this commit: https://github.com/huggingface/datasets/pull/2254/commits/88676c930216cd4cc31741b99827b477d2b46cb6\r\n\r\nIt was introduced in #2246 : using map with `input_columns` doesn't return the other columns anymore"
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All the rest of the columns except the one passed to `Dataset.class_encode_column` are discarded.
## Expected results
All the original columns should be kept.
This needs regression tests.
| https://api.github.com/repos/huggingface/datasets/issues/2272/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2271/comments | https://api.github.com/repos/huggingface/datasets/issues/2271/events | https://github.com/huggingface/datasets/issues/2271 | 869,002,141 | MDU6SXNzdWU4NjkwMDIxNDE= | 2,271 | Synchronize table metadata with features | {
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"See PR #2274 "
] | 1,619,538,913,000 | 1,619,614,105,000 | null | MEMBER | null | null | **Is your feature request related to a problem? Please describe.**
As pointed out in this [comment](https://github.com/huggingface/datasets/pull/2145#discussion_r621326767):
> Metadata stored in the schema is just a redundant information regarding the feature types.
It is used when calling Dataset.from_file to kno... | https://api.github.com/repos/huggingface/datasets/issues/2271/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2270 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2270/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2270/comments | https://api.github.com/repos/huggingface/datasets/issues/2270/events | https://github.com/huggingface/datasets/pull/2270 | 868,913,660 | MDExOlB1bGxSZXF1ZXN0NjI0MzU5Njky | 2,270 | Fix iterable interface expected by numpy | {
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"It's been fixed in this commit: https://github.com/huggingface/datasets/commit/549110e08238b3716a5904667095fb003acda54e\r\n\r\nBasically #2246 broke querying an index with a simple iterable.\r\nWith the fix, it's again possible to use iterables and we can keep RandIter as it is.\r\n\r\nClosing since the fix is alr... | 1,619,534,156,000 | 1,619,631,567,000 | 1,619,631,567,000 | MEMBER | null | {
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} | Numpy expects the old iterable interface with `__getitem__` instead of `__iter__`. | https://api.github.com/repos/huggingface/datasets/issues/2270/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2269/comments | https://api.github.com/repos/huggingface/datasets/issues/2269/events | https://github.com/huggingface/datasets/pull/2269 | 868,878,468 | MDExOlB1bGxSZXF1ZXN0NjI0MzMwNDA3 | 2,269 | Fix query table with iterable | {
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} | The benchmark runs are failing on master because it tries to use an iterable to query the dataset.
However there's currently an issue caused by the use of `np.array` instead of `np.fromiter` on the iterable.
This PR fixes it | https://api.github.com/repos/huggingface/datasets/issues/2269/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2268 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2268/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2268/comments | https://api.github.com/repos/huggingface/datasets/issues/2268/events | https://github.com/huggingface/datasets/pull/2268 | 868,773,380 | MDExOlB1bGxSZXF1ZXN0NjI0MjQyODg1 | 2,268 | Don't use pyarrow 4.0.0 since it segfaults when casting a sliced ListArray of integers | {
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"@lhoestq note that the segfault also occurs on Linux.",
"Created the ticket at\r\nhttps://issues.apache.org/jira/browse/ARROW-12568",
"@lhoestq the ticket you mentioned is now in state resolved. Pyarrow supports AArch64 after version 4.0.0. Because of this restriction `datasets` is not installing in AArch64 sy... | 1,619,524,708,000 | 1,623,501,889,000 | 1,619,531,000,000 | MEMBER | null | {
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} | This test `tests/test_table.py::test_concatenation_table_cast` segfaults with the latest update of pyarrow 4.0.0.
Setting `pyarrow<4.0.0` for now. I'll open an issue on JIRA once I know more about the origin of the issue | https://api.github.com/repos/huggingface/datasets/issues/2268/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2267 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2267/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2267/comments | https://api.github.com/repos/huggingface/datasets/issues/2267/events | https://github.com/huggingface/datasets/issues/2267 | 868,291,129 | MDU6SXNzdWU4NjgyOTExMjk= | 2,267 | DatasetDict save load Failing test in 1.6 not in 1.5 | {
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"Thanks for reporting ! We're looking into it",
"I'm not able to reproduce this, do you think you can provide a code that creates a DatasetDict that has this issue when saving and reloading ?",
"Hi, I just ran into a similar error. Here is the minimal code to reproduce:\r\n```python\r\nfrom datasets import load... | 1,619,481,805,000 | 1,622,215,654,000 | null | NONE | null | null | ## Describe the bug
We have a test that saves a DatasetDict to disk and then loads it from disk. In 1.6 there is an incompatibility in the schema.
Downgrading to `>1.6` -- fixes the problem.
## Steps to reproduce the bug
```python
### Load a dataset dict from jsonl
path = '/test/foo'
ds_dict.s... | https://api.github.com/repos/huggingface/datasets/issues/2267/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2266 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2266/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2266/comments | https://api.github.com/repos/huggingface/datasets/issues/2266/events | https://github.com/huggingface/datasets/pull/2266 | 867,864,353 | MDExOlB1bGxSZXF1ZXN0NjIzNDY1OTI5 | 2,266 | Make tests run faster | {
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"LOL, I was also working on something similar 😅. I'm gonna have a look!!!",
"Sorry I didn't know you were also working on it ^^'\r\nAnd yes I 100% agree with you on the points you mentioned. We should definitely improve the coverage. It would be nice to have a clearer separation to know which tests in the suite ... | 1,619,452,540,000 | 1,619,690,413,000 | 1,619,690,404,000 | MEMBER | null | {
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} | From 7min to 2min to run pytest.
Ideally we should keep the whole CI run time below 10min.
In this PR I removed the remote tests that were never used.
I also replaced nested parametrized tests with unit tests.
This makes me think that we could still add more high level tests to check for a few combinations of par... | https://api.github.com/repos/huggingface/datasets/issues/2266/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2265 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2265/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2265/comments | https://api.github.com/repos/huggingface/datasets/issues/2265/events | https://github.com/huggingface/datasets/pull/2265 | 867,490,646 | MDExOlB1bGxSZXF1ZXN0NjIzMTUyOTg5 | 2,265 | Update black | {
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This makes the CI currently fail on master | https://api.github.com/repos/huggingface/datasets/issues/2265/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2264 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2264/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2264/comments | https://api.github.com/repos/huggingface/datasets/issues/2264/events | https://github.com/huggingface/datasets/pull/2264 | 867,476,228 | MDExOlB1bGxSZXF1ZXN0NjIzMTQwODA1 | 2,264 | Fix memory issue in multiprocessing: Don't pickle table index | {
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"The code quality check is going to be fixed by #2265 ",
"The memory issue didn't come from `self.__dict__.copy()` but from the fact that this dict contains `_batches` which has all the batches of the table in it.\r\nTherefore for a MemoryMappedTable all the data in `_batches` were copied in memory when pickling ... | 1,619,428,895,000 | 1,619,433,028,000 | 1,619,431,694,000 | MEMBER | null | {
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} | The table index is currently being pickled when doing multiprocessing, which brings all the record batches of the dataset in memory.
I fixed that by not pickling the index attributes. Therefore each process has to rebuild the index when unpickling the table.
Fix issue #2256
We'll do a patch release asap ! | https://api.github.com/repos/huggingface/datasets/issues/2264/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2263/comments | https://api.github.com/repos/huggingface/datasets/issues/2263/events | https://github.com/huggingface/datasets/pull/2263 | 867,420,912 | MDExOlB1bGxSZXF1ZXN0NjIzMDk0NTcy | 2,263 | test data added, dataset_infos updated | {
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} | Fixes #2262. Thanks for pointing out issue with dataset @jinmang2! | https://api.github.com/repos/huggingface/datasets/issues/2263/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2262 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2262/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2262/comments | https://api.github.com/repos/huggingface/datasets/issues/2262/events | https://github.com/huggingface/datasets/issues/2262 | 867,325,351 | MDU6SXNzdWU4NjczMjUzNTE= | 2,262 | NewsPH NLI dataset script fails to access test data. | {
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"Thanks @bhavitvyamalik for the fix !\r\nThe fix will be available in the next release.\r\nIt's already available on the `master` branch. For now you can either install `datasets` from source or use `script_version=\"master\"` in `load_dataset` to use the fixed version of this dataset."
] | 1,619,419,481,000 | 1,619,688,723,000 | 1,619,688,620,000 | NONE | null | null | In Newsph-NLI Dataset (#1192), it fails to access test data.
According to the script below, the download manager will download the train data when trying to download the test data.
https://github.com/huggingface/datasets/blob/2a2dd6316af2cc7fdf24e4779312e8ee0c7ed98b/datasets/newsph_nli/newsph_nli.py#L71
If yo... | https://api.github.com/repos/huggingface/datasets/issues/2262/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2261/comments | https://api.github.com/repos/huggingface/datasets/issues/2261/events | https://github.com/huggingface/datasets/pull/2261 | 867,088,818 | MDExOlB1bGxSZXF1ZXN0NjIyODIxNzQw | 2,261 | Improve ReadInstruction logic and update docs | {
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"Ready for the final review"
] | 1,619,377,646,000 | 1,621,275,884,000 | 1,621,270,137,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2260/comments | https://api.github.com/repos/huggingface/datasets/issues/2260/events | https://github.com/huggingface/datasets/pull/2260 | 866,961,697 | MDExOlB1bGxSZXF1ZXN0NjIyNzMwODYx | 2,260 | GooAQ dataset added | {
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"Thanks for adding this one !\r\nThe download manager does support downloading files on git lfs via their github url. No need for a manual download option ;)"
] | 1,619,342,808,000 | 1,620,376,577,000 | 1,620,376,577,000 | CONTRIBUTOR | null | {
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} | @lhoestq here the dataset is stored with Git LFS. Should I add option for manual downloading of dataset using `git lfs pull` post repo cloning or can we accommodate this in the current `download_and_extract`? | https://api.github.com/repos/huggingface/datasets/issues/2260/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2259/comments | https://api.github.com/repos/huggingface/datasets/issues/2259/events | https://github.com/huggingface/datasets/pull/2259 | 866,880,092 | MDExOlB1bGxSZXF1ZXN0NjIyNjc2ODA0 | 2,259 | Add support for Split.ALL | {
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"Honestly, I think we should fix some other issues in Split API before this change. E. g. currently the following will not work, even though it should:\r\n```python\r\nimport datasets\r\ndatasets.load_dataset(\"sst\", split=datasets.Split.TRAIN+datasets.Split.TEST) # AssertionError\r\n```\r\n\r\nEDIT:\r\nActually,... | 1,619,315,142,000 | 1,624,868,487,000 | 1,624,868,487,000 | CONTRIBUTOR | null | {
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} | The title says it all. | https://api.github.com/repos/huggingface/datasets/issues/2259/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2258/comments | https://api.github.com/repos/huggingface/datasets/issues/2258/events | https://github.com/huggingface/datasets/pull/2258 | 866,870,588 | MDExOlB1bGxSZXF1ZXN0NjIyNjcxNTQy | 2,258 | Fix incorrect update_metadata_with_features calls in ArrowDataset | {
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"@lhoestq Maybe a test that runs the functions that call `update_metadata_with_features` and checks if metadata was updated would be nice to prevent this from happening in the future."
] | 1,619,311,718,000 | 1,619,457,390,000 | 1,619,456,044,000 | CONTRIBUTOR | null | {
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} | Fixes bugs in the `unpdate_metadata_with_features` calls (caused by changes in #2151) | https://api.github.com/repos/huggingface/datasets/issues/2258/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2257/comments | https://api.github.com/repos/huggingface/datasets/issues/2257/events | https://github.com/huggingface/datasets/pull/2257 | 866,755,203 | MDExOlB1bGxSZXF1ZXN0NjIyNTkwMDQw | 2,257 | added metrics for CUAD | {
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"> For now I've added F1, AUPR, Precision at 80% recall, and Precision at 90%. Last 3 metrics were reported in the [paper](https://arxiv.org/pdf/2103.06268.pdf). Please let me know if we require `exact_match` metric too here\r\n\r\n@bhavitvyamalik I guess the mentioned metrics are enough but it would be better if ... | 1,619,273,394,000 | 1,619,690,018,000 | 1,619,540,192,000 | CONTRIBUTOR | null | {
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} | For now I've added F1, AUPR, Precision at 80% recall, and Precision at 90%. Last 3 metrics were reported in the [paper](https://arxiv.org/pdf/2103.06268.pdf). Please let me know if we require `exact_match` metric too here | https://api.github.com/repos/huggingface/datasets/issues/2257/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2256/comments | https://api.github.com/repos/huggingface/datasets/issues/2256/events | https://github.com/huggingface/datasets/issues/2256 | 866,708,609 | MDU6SXNzdWU4NjY3MDg2MDk= | 2,256 | Running `datase.map` with `num_proc > 1` uses a lot of memory | {
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"Thanks for reporting ! We are working on this and we'll do a patch release very soon.",
"We did a patch release to fix this issue.\r\nIt should be fixed in the new version 1.6.1\r\n\r\nThanks again for reporting and for the details :)"
] | 1,619,258,180,000 | 1,619,457,135,000 | 1,619,457,135,000 | NONE | null | null | ## Describe the bug
Running `datase.map` with `num_proc > 1` leads to a tremendous memory usage that requires swapping on disk and it becomes very slow.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dstc8_datset = load_dataset("roskoN/dstc8-reddit-corpus", keep_in_memory=False)
... | https://api.github.com/repos/huggingface/datasets/issues/2256/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2255/comments | https://api.github.com/repos/huggingface/datasets/issues/2255/events | https://github.com/huggingface/datasets/pull/2255 | 866,242,892 | MDExOlB1bGxSZXF1ZXN0NjIyMTc0Njg4 | 2,255 | Task casting for text classification & question answering | {
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"cc @abhi1thakur ",
"Looks really nice so far, thanks !\r\nMaybe if a dataset doesn't have a template for a specific task we could try the default template of this task ?",
"hey @SBrandeis @lhoestq,\r\n\r\ni now have a better idea about what you guys are trying to achieve with the task templates and have a few ... | 1,619,193,641,000 | 1,621,344,696,000 | 1,621,344,695,000 | CONTRIBUTOR | null | {
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} | This PR implements task preparation for a given task, in the continuation of #2143
Task taxonomy follows 🤗 Transformers's pipelines taxonomy: https://github.com/huggingface/transformers/tree/master/src/transformers/pipelines
Edit by @lewtun:
This PR implements support for the following tasks:
* `text-clas... | https://api.github.com/repos/huggingface/datasets/issues/2255/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2254/comments | https://api.github.com/repos/huggingface/datasets/issues/2254/events | https://github.com/huggingface/datasets/pull/2254 | 866,169,312 | MDExOlB1bGxSZXF1ZXN0NjIyMTE1NDI0 | 2,254 | Update format, fingerprint and indices after add_item | {
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"I renamed the variable, added a test for dataset._indices and fixed an issue with class_encode_column"
] | 1,619,188,309,000 | 1,619,541,049,000 | 1,619,541,048,000 | MEMBER | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2253 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2253/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2253/comments | https://api.github.com/repos/huggingface/datasets/issues/2253/events | https://github.com/huggingface/datasets/pull/2253 | 866,034,321 | MDExOlB1bGxSZXF1ZXN0NjIyMDA2Njg3 | 2,253 | Perform minor refactoring: use config | {
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"@lhoestq is there a problem in the master branch? I got a segmentation fault...\r\n```\r\ntests/test_table.py::test_concatenation_table_cast[in_memory] Fatal Python error: Segmentation fault\r\n```",
"Oh wow. Let me re-run the CI just to make sure",
"Hmm interesting, the segfault is still there. I'm investigat... | 1,619,178,347,000 | 1,622,106,765,000 | 1,619,535,779,000 | MEMBER | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2252/comments | https://api.github.com/repos/huggingface/datasets/issues/2252/events | https://github.com/huggingface/datasets/issues/2252 | 865,870,710 | MDU6SXNzdWU4NjU4NzA3MTA= | 2,252 | Slow dataloading with big datasets issue persists | {
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"Hi ! Sorry to hear that. This may come from another issue then.\r\n\r\nFirst can we check if this latency comes from the dataset itself ?\r\nYou can try to load your dataset and benchmark the speed of querying random examples inside it ?\r\n```python\r\nimport time\r\nimport numpy as np\r\n\r\nfrom datasets import... | 1,619,165,900,000 | 1,631,204,972,000 | null | NONE | null | null | Hi,
I reported too slow data fetching when data is large(#2210) a couple of weeks ago, and @lhoestq referred me to the fix (#2122).
However, the problem seems to persist. Here is the profiled results:
1) Running with 60GB
```
Action | Mean duration (s) |Num calls | Total ... | https://api.github.com/repos/huggingface/datasets/issues/2252/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2251 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2251/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2251/comments | https://api.github.com/repos/huggingface/datasets/issues/2251/events | https://github.com/huggingface/datasets/issues/2251 | 865,848,705 | MDU6SXNzdWU4NjU4NDg3MDU= | 2,251 | while running run_qa.py, ran into a value error | {
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python3 run_qa.py --model_name_or_path hyunwoongko/kobart --dataset_name squad_kor_v2 --do_train --do_eval --per_device_train_batch_size 8 --learning_rate 3e-5 --num_train_epochs 3 --max_seq_length 512 --doc_stride 128 --output_dir /tmp/debug_squad/
error:
ValueError: External fe... | https://api.github.com/repos/huggingface/datasets/issues/2251/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2250 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2250/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2250/comments | https://api.github.com/repos/huggingface/datasets/issues/2250/events | https://github.com/huggingface/datasets/issues/2250 | 865,402,449 | MDU6SXNzdWU4NjU0MDI0NDk= | 2,250 | some issue in loading local txt file as Dataset for run_mlm.py | {
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"Hi,\r\n\r\n1. try\r\n ```python\r\n dataset = load_dataset(\"text\", data_files={\"train\": [\"a1.txt\", \"b1.txt\"], \"test\": [\"c1.txt\"]})\r\n ```\r\n instead.\r\n\r\n Sadly, I can't reproduce the error on my machine. If the above code doesn't resolve the issue, try to update the library to the ... | 1,619,120,353,000 | 1,629,258,552,000 | null | NONE | null | null | 
first of all, I tried to load 3 .txt files as a dataset (sure that the directory and permission is OK.), I face with the below error.
> FileNotFoundError: [Errno 2] No such file or directory: 'c'
by ... | https://api.github.com/repos/huggingface/datasets/issues/2250/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2249 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2249/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2249/comments | https://api.github.com/repos/huggingface/datasets/issues/2249/events | https://github.com/huggingface/datasets/pull/2249 | 865,257,826 | MDExOlB1bGxSZXF1ZXN0NjIxMzU1MzE3 | 2,249 | Allow downloading/processing/caching only specific splits | {
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"> If you pass a dictionary like this:\r\n> \r\n> ```\r\n> {\"main_metadata\": url_to_main_data,\r\n> \"secondary_metadata\": url_to_sec_data,\r\n> \"train\": url_train_data,\r\n> \"test\": url_test_data}\r\n> ```\r\n> \r\n> then only the train or test keys will be kept, which I feel not intuitive.\r\n> \r\n> For e... | 1,619,113,904,000 | 1,630,560,811,000 | null | MEMBER | null | {
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} | Allow downloading/processing/caching only specific splits without downloading/processing/caching the other splits.
This PR implements two steps to handle only specific splits:
- it allows processing/caching only specific splits into Arrow files
- for some simple cases, it allows downloading only specific splits (w... | https://api.github.com/repos/huggingface/datasets/issues/2249/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2248 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2248/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2248/comments | https://api.github.com/repos/huggingface/datasets/issues/2248/events | https://github.com/huggingface/datasets/pull/2248 | 864,853,447 | MDExOlB1bGxSZXF1ZXN0NjIxMDEyNzg5 | 2,248 | Implement Dataset to JSON | {
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https://api.github.com/repos/huggingface/datasets/issues/2247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2247/comments | https://api.github.com/repos/huggingface/datasets/issues/2247/events | https://github.com/huggingface/datasets/pull/2247 | 864,817,520 | MDExOlB1bGxSZXF1ZXN0NjIwOTgzNzY3 | 2,247 | Implement Dataset from Parquet | {
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"Hi @albertvillanova , I'll implement the parquet builder as an ArrowBasedBuilder if you don't mind",
"closing in favor of #2537 that is already merged"
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https://api.github.com/repos/huggingface/datasets/issues/2246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2246/comments | https://api.github.com/repos/huggingface/datasets/issues/2246/events | https://github.com/huggingface/datasets/pull/2246 | 864,220,031 | MDExOlB1bGxSZXF1ZXN0NjIwNDg3OTUw | 2,246 | Faster map w/ input_columns & faster slicing w/ Iterable keys | {
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"@lhoestq Just fixed the code style issues— I think it should be good to merge now :)"
] | 1,619,034,547,000 | 1,619,453,639,000 | 1,619,453,639,000 | CONTRIBUTOR | null | {
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} | @lhoestq Fixes #2193
- `map` now uses `with_format` to only load needed columns in memory when `input_columns` is set
- Slicing datasets with Iterables of indices now uses a new `Table.fast_gather` method, implemented with `np.searchsorted`, to find the appropriate batch indices all at once. `pa.concat_tables` is ... | https://api.github.com/repos/huggingface/datasets/issues/2246/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2245 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2245/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2245/comments | https://api.github.com/repos/huggingface/datasets/issues/2245/events | https://github.com/huggingface/datasets/pull/2245 | 863,191,655 | MDExOlB1bGxSZXF1ZXN0NjE5NjQzMjQ3 | 2,245 | Add `key` type and duplicates verification with hashing | {
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"@lhoestq The tests for key type and duplicate keys have been added and verified successfully.\r\nAfter generating with an intentionally faulty `mnist` script, when there is an incompatible key type, it shows:\r\n\r\n```\r\nDownloading and preparing dataset mnist/mnist (download: 11.06 MiB, generated: 60.62 MiB, po... | 1,618,948,999,000 | 1,620,669,877,000 | 1,620,667,882,000 | CONTRIBUTOR | null | {
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} | Closes #2230
There is currently no verification for the data type and the uniqueness of the keys yielded by the `dataset_builder`.
This PR is currently a work in progress with the following goals:
- [x] Adding `hash_salt` to `ArrowWriter` so that the keys belonging to different splits have different hash
- [x]... | https://api.github.com/repos/huggingface/datasets/issues/2245/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2244 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2244/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2244/comments | https://api.github.com/repos/huggingface/datasets/issues/2244/events | https://github.com/huggingface/datasets/pull/2244 | 863,029,946 | MDExOlB1bGxSZXF1ZXN0NjE5NTAyODc0 | 2,244 | Set specific cache directories per test function call | {
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"@lhoestq, I think this reaches some memory limit on Linux instances... (?)",
"It looks like the `comet` metric test fails because it tries to load a model in memory.\r\nIn the tests I think we have `patch_comet` that mocks the model download + inference. Not sure why it didn't work though.\r\nI can take a look t... | 1,618,938,382,000 | 1,630,560,811,000 | null | MEMBER | null | {
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Currently, the cache directories are set within the temporary test directory, but they are shared across all test function calls.
This PR implements specific cache directories for each test function call, so that tests ar... | https://api.github.com/repos/huggingface/datasets/issues/2244/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2243 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2243/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2243/comments | https://api.github.com/repos/huggingface/datasets/issues/2243/events | https://github.com/huggingface/datasets/issues/2243 | 862,909,389 | MDU6SXNzdWU4NjI5MDkzODk= | 2,243 | Map is slow and processes batches one after another | {
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"Hi @villmow, thanks for reporting.\r\n\r\nCould you please try with the Datasets version 1.6? We released it yesterday and it fixes some issues about the processing speed. You can see the fix implemented by @lhoestq here: #2122.\r\n\r\nOnce you update Datasets, please confirm if the problem persists.",
"Hi @albe... | 1,618,930,700,000 | 1,620,064,473,000 | 1,620,064,472,000 | NONE | null | null | ## Describe the bug
I have a somewhat unclear bug to me, where I can't figure out what the problem is. The code works as expected on a small subset of my dataset (2000 samples) on my local machine, but when I execute the same code with a larger dataset (1.4 million samples) this problem occurs. Thats why I can't giv... | https://api.github.com/repos/huggingface/datasets/issues/2243/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2242/comments | https://api.github.com/repos/huggingface/datasets/issues/2242/events | https://github.com/huggingface/datasets/issues/2242 | 862,870,205 | MDU6SXNzdWU4NjI4NzAyMDU= | 2,242 | Link to datasets viwer on Quick Tour page returns "502 Bad Gateway" | {
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"This should be fixed now!\r\n\r\ncc @srush "
] | 1,618,928,391,000 | 1,618,930,965,000 | 1,618,930,965,000 | NONE | null | null | Link to datasets viwer (https://huggingface.co/datasets/viewer/) on Quick Tour page (https://huggingface.co/docs/datasets/quicktour.html) returns "502 Bad Gateway"
The same error with https://huggingface.co/datasets/viewer/?dataset=glue&config=mrpc | https://api.github.com/repos/huggingface/datasets/issues/2242/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2241/comments | https://api.github.com/repos/huggingface/datasets/issues/2241/events | https://github.com/huggingface/datasets/pull/2241 | 862,696,460 | MDExOlB1bGxSZXF1ZXN0NjE5MjI0MzIw | 2,241 | Add SLR32 to OpenSLR | {
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"> And yet another one ! Thanks a lot :)\r\n\r\nI just hope you don’t get fed up with openslr PR 😊 there are still few other datasets created by google in openslr that is not in hf dataset yet\r\n"
] | 1,618,916,565,000 | 1,619,194,884,000 | 1,619,192,175,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2240/comments | https://api.github.com/repos/huggingface/datasets/issues/2240/events | https://github.com/huggingface/datasets/pull/2240 | 862,537,856 | MDExOlB1bGxSZXF1ZXN0NjE5MDkyODc5 | 2,240 | Clarify how to load wikihow | {
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En relation with #2239. | https://api.github.com/repos/huggingface/datasets/issues/2240/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2239/comments | https://api.github.com/repos/huggingface/datasets/issues/2239/events | https://github.com/huggingface/datasets/issues/2239 | 861,904,306 | MDU6SXNzdWU4NjE5MDQzMDY= | 2,239 | Error loading wikihow dataset | {
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"Hi @odellus, thanks for reporting.\r\n\r\nThe `wikihow` dataset has 2 versions:\r\n- `all`: Consisting of the concatenation of all paragraphs as the articles and the bold lines as the reference summaries.\r\n- `sep`: Consisting of each paragraph and its summary.\r\n\r\nTherefore, in order to load it, you have to s... | 1,618,866,151,000 | 1,618,936,391,000 | 1,618,936,391,000 | CONTRIBUTOR | null | null | ## Describe the bug
When attempting to load wikihow into a dataset with
```python
from datasets import load_dataset
dataset = load_dataset('wikihow', data_dir='./wikihow')
```
I get the message:
```
AttributeError: 'BuilderConfig' object has no attribute 'filename'
```
at the end of a [full stack trace](htt... | https://api.github.com/repos/huggingface/datasets/issues/2239/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2238/comments | https://api.github.com/repos/huggingface/datasets/issues/2238/events | https://github.com/huggingface/datasets/pull/2238 | 861,518,291 | MDExOlB1bGxSZXF1ZXN0NjE4MTY5NzM5 | 2,238 | NLU evaluation data | {
"login": "dkajtoch",
"id": 32985207,
"node_id": "MDQ6VXNlcjMyOTg1MjA3",
"avatar_url": "https://avatars.githubusercontent.com/u/32985207?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dkajtoch",
"html_url": "https://github.com/dkajtoch",
"followers_url": "https://api.github.com/users/dka... | [] | closed | false | null | [] | null | [] | 1,618,850,840,000 | 1,619,191,925,000 | 1,619,191,925,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/2238",
"html_url": "https://github.com/huggingface/datasets/pull/2238",
"diff_url": "https://github.com/huggingface/datasets/pull/2238.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/2238.patch"
} | New intent classification dataset from https://github.com/xliuhw/NLU-Evaluation-Data | https://api.github.com/repos/huggingface/datasets/issues/2238/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2237/comments | https://api.github.com/repos/huggingface/datasets/issues/2237/events | https://github.com/huggingface/datasets/issues/2237 | 861,427,439 | MDU6SXNzdWU4NjE0Mjc0Mzk= | 2,237 | Update Dataset.dataset_size after transformed with map | {
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.g... | [
{
"id": 1935892871,
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] | open | false | null | [] | null | [
"@albertvillanova I would like to take this up. It would be great if you could point me as to how the dataset size is calculated in HF. Thanks!"
] | 1,618,845,578,000 | 1,618,928,525,000 | null | MEMBER | null | null | After loading a dataset, if we transform it by using `.map` its `dataset_size` attirbute is not updated. | https://api.github.com/repos/huggingface/datasets/issues/2237/timeline | null | false |
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