title stringlengths 1 290 | body stringlengths 0 228k ⌀ | html_url stringlengths 46 51 | comments list | pull_request dict | number int64 1 5.59k | is_pull_request bool 2
classes |
|---|---|---|---|---|---|---|
Complete rouge kwargs | In #701 we noticed that some kwargs were missing for rouge | https://github.com/huggingface/datasets/pull/702 | [] | {
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"merged_at": "2020-10-02T10:11:03"... | 702 | true |
Add rouge 2 and rouge Lsum to rouge metric outputs | Continuation of #700
Rouge 2 and Rouge Lsum were missing in Rouge's outputs.
Rouge Lsum is also useful to evaluate Rouge L for sentences with `\n`
Fix #617 | https://github.com/huggingface/datasets/pull/701 | [
"Oups too late, sorry"
] | {
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"merged_at": "2020-10-02T09:52:18"... | 701 | true |
Add rouge-2 in rouge_types for metric calculation | The description of the ROUGE metric says,
```
_KWARGS_DESCRIPTION = """
Calculates average rouge scores for a list of hypotheses and references
Args:
predictions: list of predictions to score. Each predictions
should be a string with tokens separated by spaces.
references: list of reference for ... | https://github.com/huggingface/datasets/pull/700 | [
"Indeed there's currently a mismatch between the description and what it rouge actually returns.\r\nThanks for proposing this fix :) \r\n\r\nI think it's better to return rouge 1-2-L.\r\nWas there a reason to only include rouge 1 and rouge L @thomwolf ? ",
"rougeLsum is also missing, could you add it ?",
"Addin... | {
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"merged_at": null
} | 700 | true |
XNLI dataset is not loading | `dataset = datasets.load_dataset(path='xnli')`
showing below error
```
/opt/conda/lib/python3.7/site-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
36 if len(bad_urls) > 0:
37 error_msg = "Checksums didn't match" + for_verifi... | https://github.com/huggingface/datasets/issues/699 | [
"also i tried below code to solve checksum error \r\n`datasets-cli test ./datasets/xnli --save_infos --all_configs`\r\n\r\nand it shows \r\n\r\n```\r\n2020-10-02 07:06:16.588760: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\r\nTraceback (most ... | null | 699 | false |
Update README.md | Hey I was just telling my subscribers to check out your repositories
Thank you | https://github.com/huggingface/datasets/pull/697 | [] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/697.patch",
"merged_at": null
} | 697 | true |
Elasticsearch index docs | I added the docs for ES indexes.
I also added a `load_elasticsearch_index` method to load an index that has already been built.
I checked the tests for the ES index and we have tests that mock ElasticSearch.
I think this is good for now but at some point it would be cool to have an end-to-end test with a real ES... | https://github.com/huggingface/datasets/pull/696 | [] | {
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"merged_at": "2020-10-02T07:48:18"... | 696 | true |
Update XNLI download link | The old link isn't working anymore. I updated it with the new official link.
Fix #690 | https://github.com/huggingface/datasets/pull/695 | [] | {
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"merged_at": "2020-10-01T14:01:14"... | 695 | true |
Use GitHub instead of aws in remote dataset tests | Recently we switched from aws s3 to github to download dataset scripts.
However in the tests, the dummy data were still downloaded from s3.
So I changed that to download them from github instead, in the MockDownloadManager.
Moreover I noticed that `anli`'s dummy data were quite heavy (18MB compressed, i.e. the ent... | https://github.com/huggingface/datasets/pull/694 | [] | {
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"merged_at": "2020-10-02T07:47:26"... | 694 | true |
Rachel ker add dataset/mlsum | . | https://github.com/huggingface/datasets/pull/693 | [
"It looks like an outdated PR (we've already added mlsum). Closing it"
] | {
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"merged_at": null
} | 693 | true |
Update README.md | https://github.com/huggingface/datasets/pull/692 | [
"Hacktoberfest spam",
"To enhance its readability.....not Hacktoberfest spam",
"How is adding a punctuation to the end of a sentence justified as \"To enhance its readability\". \r\nConsidering that this is not your first \"README enhancement '' please don't spam the open source community with useless PR to get... | {
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"merged_at": null
} | 692 | true | |
Add UI filter to filter datasets based on task | This is great work, so huge shoutout to contributors and huggingface.
The [/nlp/viewer](https://huggingface.co/nlp/viewer/) is great and the [/datasets](https://huggingface.co/datasets) page is great. I was wondering if in both or either places we can have a filter that selects if a dataset is good for the following... | https://github.com/huggingface/datasets/issues/691 | [
"Already supported."
] | null | 691 | false |
XNLI dataset: NonMatchingChecksumError | Hi,
I tried to download "xnli" dataset in colab using
`xnli = load_dataset(path='xnli')`
but got 'NonMatchingChecksumError' error
`NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-27-a87bedc82eeb> in <module>()
----> 1 xnli = load_dataset(path='xnli')
3 frames
/usr... | https://github.com/huggingface/datasets/issues/690 | [
"Thanks for reporting.\r\nThe data file must have been updated by the host.\r\nI'll update the checksum with the new one.",
"Well actually it looks like the link isn't working anymore :(",
"The new link is https://cims.nyu.edu/~sbowman/xnli/XNLI-1.0.zip\r\nI'll update the dataset script",
"I'll do a release i... | null | 690 | false |
Switch to pandas reader for text dataset | Following the discussion in #622 , it appears that there's no appropriate ways to use the payrrow csv reader to read text files because of the separator.
In this PR I switched to pandas to read the file.
Moreover pandas allows to read the file by chunk, which means that you can build the arrow dataset from a text... | https://github.com/huggingface/datasets/pull/689 | [
"If the windows tests in the CI pass, today will be a happy day"
] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/689.patch",
"merged_at": "2020-09-30T16:45:31"... | 689 | true |
Disable tokenizers parallelism in multiprocessed map | It was reported in #620 that using multiprocessing with a tokenizers shows this message:
```
The current process just got forked. Disabling parallelism to avoid deadlocks...
To disable this warning, please explicitly set TOKENIZERS_PARALLELISM=(true | false)
```
This message is shown when TOKENIZERS_PARALLELISM is... | https://github.com/huggingface/datasets/pull/688 | [] | {
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"merged_at": "2020-10-01T08:45:45"... | 688 | true |
`ArrowInvalid` occurs while running `Dataset.map()` function | It seems to fail to process the final batch. This [colab](https://colab.research.google.com/drive/1_byLZRHwGP13PHMkJWo62Wp50S_Z2HMD?usp=sharing) can reproduce the error.
Code:
```python
# train_ds = Dataset(features: {
# 'title': Value(dtype='string', id=None),
# 'score': Value(dtype='float64', id=Non... | https://github.com/huggingface/datasets/issues/687 | [
"Hi !\r\n\r\nThis is because `encode` expects one single text as input (str), or one tokenized text (List[str]).\r\nI believe that you actually wanted to use `encode_batch` which expects a batch of texts.\r\nHowever this method is only available for our \"fast\" tokenizers (ex: BertTokenizerFast).\r\nBertJapanese i... | null | 687 | false |
Dataset browser url is still https://huggingface.co/nlp/viewer/ | Might be worth updating to https://huggingface.co/datasets/viewer/ | https://github.com/huggingface/datasets/issues/686 | [
"Yes! might do it with @srush one of these days. Hopefully it won't break too many links (we can always redirect from old url to new)",
"This was fixed but forgot to close the issue. cc @lhoestq @yjernite \r\n\r\nThanks @jarednielsen!"
] | null | 686 | false |
Add features parameter to CSV | Add support for the `features` parameter when loading a csv dataset:
```python
from datasets import load_dataset, Features
features = Features({...})
csv_dataset = load_dataset("csv", data_files=["path/to/my/file.csv"], features=features)
```
I added tests to make sure that it is also compatible with the ca... | https://github.com/huggingface/datasets/pull/685 | [] | {
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"merged_at": "2020-09-30T08:39:54"... | 685 | true |
Fix column order issue in cast | Previously, the order of the columns in the features passes to `cast_` mattered.
However even though features passed to `cast_` had the same order as the dataset features, it could fail because the schema that was built was always in alphabetical order.
This issue was reported by @lewtun in #623
To fix that I fi... | https://github.com/huggingface/datasets/pull/684 | [] | {
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"merged_at": "2020-09-29T15:56:45"... | 684 | true |
Fix wrong delimiter in text dataset | The delimiter is set to the bell character as it is used nowhere is text files usually.
However in the text dataset the delimiter was set to `\b` which is backspace in python, while the bell character is `\a`.
I replace \b by \a
Hopefully it fixes issues mentioned by some users in #622 | https://github.com/huggingface/datasets/pull/683 | [] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/683.patch",
"merged_at": null
} | 683 | true |
Update navbar chapter titles color | Consistency with the color change that was done in transformers at https://github.com/huggingface/transformers/pull/7423
It makes the background-color of the chapter titles in the docs navbar darker, to differentiate them from the inner sections.
see changes [here](https://691-250213286-gh.circle-artifacts.com/0/do... | https://github.com/huggingface/datasets/pull/682 | [] | {
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"merged_at": "2020-09-28T17:30:12"... | 682 | true |
Adding missing @property (+2 small flake8 fixes). | Fixes #678 | https://github.com/huggingface/datasets/pull/681 | [] | {
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"merged_at": "2020-09-28T10:26:09"... | 681 | true |
Fix bug related to boolean in GAP dataset. | ### Why I did
The value in `row["A-coref"]` and `row["B-coref"]` is `'TRUE'` or `'FALSE'`.
This type is `string`, then `bool('FALSE')` is equal to `True` in Python.
So, both rows are transformed into `True` now.
So, I modified this problem.
### What I did
I modified `bool(row["A-coref"])` and `bool(row["B-cor... | https://github.com/huggingface/datasets/pull/680 | [
"Hi !\r\n\r\nGood catch, thanks for creating this PR :)\r\n\r\nCould you also regenerate the metadata for this dataset using \r\n```\r\ndatasets-cli test ./datasets/gap --save_infos --all_configs\r\n```\r\n\r\nThat'd be awesome",
"@lhoestq Thank you for your revieing!!!\r\n\r\nI've performed it and have read CONT... | {
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"patch_url": "https://github.com/huggingface/datasets/pull/680.patch",
"merged_at": "2020-09-29T15:54:47"... | 680 | true |
Fix negative ids when slicing with an array | ```python
from datasets import Dataset
d = ds.Dataset.from_dict({"a": range(10)})
print(d[[0, -1]])
# OverflowError
```
raises an error because of the negative id.
This PR fixes that.
Fix #668 | https://github.com/huggingface/datasets/pull/679 | [] | {
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"merged_at": "2020-09-28T14:42:19"... | 679 | true |
The download instructions for c4 datasets are not contained in the error message | The manual download instructions are not clear
```The dataset c4 with config en requires manual data.
Please follow the manual download instructions: <bound method C4.manual_download_instructions of <datasets_modules.datasets.c4.830b0c218bd41fed439812c8dd19dbd4767d2a3faa385eb695cf8666c982b1b3.c4.C4 object at 0x7ff... | https://github.com/huggingface/datasets/issues/678 | [
"Good catch !\r\nIndeed the `@property` is missing.\r\n\r\nFeel free to open a PR :)",
"Also not that C4 is a dataset that needs an Apache Beam runtime to be generated.\r\nFor example Dataflow, Spark, Flink etc.\r\n\r\nUsually we generate the dataset on our side once and for all, but we haven't done it for C4 yet... | null | 678 | false |
Move cache dir root creation in builder's init | We use lock files in the builder initialization but sometimes the cache directory where they're supposed to be was not created. To fix that I moved the builder's cache dir root creation in the builder's init.
Fix #671 | https://github.com/huggingface/datasets/pull/677 | [] | {
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"merged_at": "2020-09-28T14:42:42"... | 677 | true |
train_test_split returns empty dataset item | I try to split my dataset by `train_test_split`, but after that the item in `train` and `test` `Dataset` is empty.
The codes:
```
yelp_data = datasets.load_from_disk('/home/ssd4/huanglianzhe/test_yelp')
print(yelp_data[0])
yelp_data = yelp_data.train_test_split(test_size=0.1)
print(yelp_data)
pri... | https://github.com/huggingface/datasets/issues/676 | [
"The problem still exists after removing the cache files.",
"Can you reproduce this example in a Colab so we can investigate? (or give more information on your software/hardware config)",
"Thanks for reporting.\r\nI just found the issue, I'm creating a PR",
"We'll do a release pretty soon to include the fix :... | null | 676 | false |
Add custom dataset to NLP? | Is it possible to add a custom dataset such as a .csv to the NLP library?
Thanks. | https://github.com/huggingface/datasets/issues/675 | [
"Yes you can have a look here: https://huggingface.co/docs/datasets/loading_datasets.html#csv-files",
"No activity, closing"
] | null | 675 | false |
load_dataset() won't download in Windows | I don't know if this is just me or Windows. Maybe other Windows users can chime in if they don't have this problem. I've been trying to get some of the tutorials working on Windows, but when I use the load_dataset() function, it just stalls and the script keeps running indefinitely without downloading anything. I've wa... | https://github.com/huggingface/datasets/issues/674 | [
"I have the same issue. Tried to download a few of them and not a single one is downloaded successfully.\r\n\r\nThis is the output:\r\n```\r\n>>> dataset = load_dataset('blended_skill_talk', split='train')\r\nUsing custom data configuration default <-- This step never ends\r\n```",
"This was fixed i... | null | 674 | false |
blog_authorship_corpus crashed | This is just to report that When I pick blog_authorship_corpus in
https://huggingface.co/nlp/viewer/?dataset=blog_authorship_corpus
I get this:
| https://github.com/huggingface/datasets/issues/673 | [
"Thanks for reporting !\r\nWe'll free some memory"
] | null | 673 | false |
Questions about XSUM | Hi there ✋
I'm looking into your `xsum` dataset and I have several questions on that.
So here is how I loaded the data:
```
>>> data = datasets.load_dataset('xsum', version='1.0.1')
>>> data['train']
Dataset(features: {'document': Value(dtype='string', id=None), 'summary': Value(dtype='string', id=None)}, nu... | https://github.com/huggingface/datasets/issues/672 | [
"We should try to regenerate the data using the official script.\r\nBut iirc that's what we used in the first place, so not sure why it didn't match in the first place.\r\n\r\nI'll let you know when the dataset is updated",
"Thanks, looking forward to hearing your update on this thread. \r\n\r\nThis is a blocking... | null | 672 | false |
[BUG] No such file or directory | This happens when both
1. Huggingface datasets cache dir does not exist
2. Try to load a local dataset script
builder.py throws an error when trying to create a filelock in a directory (cache/datasets) that does not exist
https://github.com/huggingface/datasets/blob/master/src/datasets/builder.py#L177
Tested o... | https://github.com/huggingface/datasets/issues/671 | [] | null | 671 | false |
Fix SQuAD metric kwargs description | The `answer_start` field was missing in the kwargs docstring.
This should fix #657
FYI another fix was proposed by @tshrjn in #658 and suggests to remove this field.
However IMO `answer_start` is useful to match the squad dataset format for consistency, even though it is not used in the metric computation. I th... | https://github.com/huggingface/datasets/pull/670 | [] | {
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"merged_at": "2020-09-29T15:57:37"... | 670 | true |
How to skip a example when running dataset.map | in processing func, I process examples and detect some invalid examples, which I did not want it to be added into train dataset. However I did not find how to skip this recognized invalid example when doing dataset.map. | https://github.com/huggingface/datasets/issues/669 | [
"Hi @xixiaoyao,\r\nDepending on what you want to do you can:\r\n- use a first step of `filter` to filter out the invalid examples: https://huggingface.co/docs/datasets/processing.html#filtering-rows-select-and-filter\r\n- or directly detect the invalid examples inside the callable used with `map` and return them un... | null | 669 | false |
OverflowError when slicing with an array containing negative ids | ```python
from datasets import Dataset
d = ds.Dataset.from_dict({"a": range(10)})
print(d[0])
# {'a': 0}
print(d[-1])
# {'a': 9}
print(d[[0, -1]])
# OverflowError
```
results in
```
---------------------------------------------------------------------------
OverflowError ... | https://github.com/huggingface/datasets/issues/668 | [] | null | 668 | false |
Loss not decrease with Datasets and Transformers | HI,
The following script is used to fine-tune a BertForSequenceClassification model on SST2.
The script is adapted from [this colab](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) that presents an example of fine-tuning BertForQuestionAnswering using squad data... | https://github.com/huggingface/datasets/issues/667 | [
"And I tested it on T5ForConditionalGeneration, that works no problem.",
"Hi did you manage to fix your issue ?\r\n\r\nIf so feel free to share your fix and close this thread"
] | null | 667 | false |
Does both 'bookcorpus' and 'wikipedia' belong to the same datasets which Google used for pretraining BERT? | https://github.com/huggingface/datasets/issues/666 | [
"No they are other similar copies but they are not provided by the official Bert models authors."
] | null | 666 | false | |
runing dataset.map, it raises TypeError: can't pickle Tokenizer objects | I load squad dataset. Then want to process data use following function with `Huggingface Transformers LongformerTokenizer`.
```
def convert_to_features(example):
# Tokenize contexts and questions (as pairs of inputs)
input_pairs = [example['question'], example['context']]
encodings = tokenizer.encode... | https://github.com/huggingface/datasets/issues/665 | [
"Hi !\r\nIt works on my side with both the LongFormerTokenizer and the LongFormerTokenizerFast.\r\n\r\nWhich version of transformers/datasets are you using ?",
"transformers and datasets are both the latest",
"Then I guess you need to give us more informations on your setup (OS, python, GPU, etc) or a Google Co... | null | 665 | false |
load_dataset from local squad.py, raise error: TypeError: 'NoneType' object is not callable |
version: 1.0.2
```
train_dataset = datasets.load_dataset('squad')
```
The above code can works. However, when I download the squad.py from your server, and saved as `my_squad.py` to local. I run followings raise errors.
```
train_dataset = datasets.load_dataset('./my_squad.py') ... | https://github.com/huggingface/datasets/issues/664 | [
"Hi !\r\nThanks for reporting.\r\nIt looks like no object inherits from `datasets.GeneratorBasedBuilder` (or more generally from `datasets.DatasetBuilder`) in your script.\r\n\r\nCould you check that there exist at least one dataset builder class ?",
"Hi @xixiaoyao did you manage to fix your issue ?",
"No activ... | null | 664 | false |
Created dataset card snli.md | First draft of a dataset card using the SNLI corpus as an example.
This is mostly based on the [Google Doc draft](https://docs.google.com/document/d/1dKPGP-dA2W0QoTRGfqQ5eBp0CeSsTy7g2yM8RseHtos/edit), but I added a few sections and moved some things around.
- I moved **Who Was Involved** to follow **Language**, ... | https://github.com/huggingface/datasets/pull/663 | [
"Adding a direct link to the rendered markdown:\r\nhttps://github.com/mcmillanmajora/datasets/blob/add_dataset_documentation/datasets/snli/README.md\r\n",
"It would be amazing if we ended up with this much information on all of our datasets :) \r\n\r\nI don't think there's too much repetition, everything that is ... | {
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"diff_url": "https://github.com/huggingface/datasets/pull/663.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/663.patch",
"merged_at": "2020-10-12T20:26:52"... | 663 | true |
Created dataset card snli.md | First draft of a dataset card using the SNLI corpus as an example | https://github.com/huggingface/datasets/pull/662 | [
"Resubmitting on a new fork"
] | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/662",
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"patch_url": "https://github.com/huggingface/datasets/pull/662.patch",
"merged_at": null
} | 662 | true |
Replace pa.OSFile by open | It should fix #643 | https://github.com/huggingface/datasets/pull/661 | [] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/661.patch",
"merged_at": null
} | 661 | true |
add openwebtext | This adds [The OpenWebText Corpus](https://skylion007.github.io/OpenWebTextCorpus/), which is a clean and large text corpus for nlp pretraining. It is an open source effort to reproduce OpenAI’s WebText dataset used by GPT-2, and it is also needed to reproduce ELECTRA.
It solves #132 .
### Besides dataset buildin... | https://github.com/huggingface/datasets/pull/660 | [
"BTW, is there a one-line command to make our building scripts pass flake8 test? (included code quality test), I got like trailing space or mixed space and tab warning and error, and fixed them manually.",
"> BTW, is there a one-line command to make our building scripts pass flake8 test? (included code quality te... | {
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"patch_url": "https://github.com/huggingface/datasets/pull/660.patch",
"merged_at": "2020-09-28T09:07:26"... | 660 | true |
Keep new columns in transmit format | When a dataset is formatted with a list of columns that `__getitem__` should return, then calling `map` to add new columns doesn't add the new columns to this list.
It caused `KeyError` issues in #620
I changed the logic to add those new columns to the list that `__getitem__` should return. | https://github.com/huggingface/datasets/pull/659 | [] | {
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"merged_at": "2020-09-22T10:07:20"... | 659 | true |
Fix squad metric's Features | Resolves issue [657](https://github.com/huggingface/datasets/issues/657). | https://github.com/huggingface/datasets/pull/658 | [
"Closing this one in favor of #670 \r\n\r\nThanks again for reporting the issue and proposing this fix !\r\nLet me know if you have other remarks"
] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/658.patch",
"merged_at": null
} | 658 | true |
Squad Metric Description & Feature Mismatch | The [description](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L39) doesn't mention `answer_start` in squad. However the `datasets.features` require [it](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L68). It's also not used in the evaluation. | https://github.com/huggingface/datasets/issues/657 | [
"Thanks for reporting !\r\nThere indeed a mismatch between the features and the kwargs description\r\n\r\nI believe `answer_start` was added to match the squad dataset format for consistency, even though it is not used in the metric computation. I think I'd rather keep it this way, so that you can just give `refere... | null | 657 | false |
Use multiprocess from pathos for multiprocessing | [Multiprocess](https://github.com/uqfoundation/multiprocess) (from the [pathos](https://github.com/uqfoundation/pathos) project) allows to use lambda functions in multiprocessed map.
It was suggested to use it by @kandorm.
We're already using dill which is its only dependency. | https://github.com/huggingface/datasets/pull/656 | [
"We can just install multiprocess actually, I'll change that",
"Just an FYI: I remember that I wanted to try pathos a couple of years back and I ran into issues considering cross-platform; the code would just break on Windows. If I can verify this PR by running CPU tests on Windows, let me know!",
"That's good ... | {
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"merged_at": "2020-09-28T14:45:39"... | 656 | true |
added Winogrande debiased subset | The [Winogrande](https://arxiv.org/abs/1907.10641) paper mentions a `debiased` subset that wasn't in the first release; this PR adds it. | https://github.com/huggingface/datasets/pull/655 | [
"To fix the CI you just have to copy the dummy data to the 1.1.0 folder, and maybe create the dummy ones for the `debiased` configuration",
"Fixed! Thanks @lhoestq "
] | {
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"merged_at": "2020-09-21T16:16:04"... | 655 | true |
Allow empty inputs in metrics | There was an arrow error when trying to compute a metric with empty inputs. The error was occurring when reading the arrow file, before calling metric._compute. | https://github.com/huggingface/datasets/pull/654 | [] | {
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"merged_at": "2020-09-21T16:13:38"... | 654 | true |
handle data alteration when trying type | Fix #649
The bug came from the type inference that didn't handle a weird case in Pyarrow.
Indeed this code runs without error but alters the data in arrow:
```python
import pyarrow as pa
type = pa.struct({"a": pa.struct({"b": pa.string()})})
array_with_altered_data = pa.array([{"a": {"b": "foo", "c": "bar"}}... | https://github.com/huggingface/datasets/pull/653 | [] | {
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"merged_at": "2020-09-21T16:13:05"... | 653 | true |
handle connection error in download_prepared_from_hf_gcs | Fix #647 | https://github.com/huggingface/datasets/pull/652 | [] | {
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"merged_at": "2020-09-21T08:28:42"... | 652 | true |
Problem with JSON dataset format | I have a local json dataset with the following form.
{
'id01234': {'key1': value1, 'key2': value2, 'key3': value3},
'id01235': {'key1': value1, 'key2': value2, 'key3': value3},
.
.
.
'id09999': {'key1': value1, 'key2': value2, 'key3': value3}
}
Note that instead of a list of records i... | https://github.com/huggingface/datasets/issues/651 | [
"Currently the `json` dataset doesn't support this format unfortunately.\r\nHowever you could load it with\r\n```python\r\nfrom datasets import Dataset\r\nimport pandas as pd\r\n\r\ndf = pd.read_json(\"path_to_local.json\", orient=\"index\")\r\ndataset = Dataset.from_pandas(df)\r\n```",
"or you can make a custom ... | null | 651 | false |
dummy data testing can't test datasets using `dl_manager.extract` in `_split_generators` | Hi, I recently want to add a dataset whose source data is like this
```
openwebtext.tar.xz
|__ openwebtext
|__subset000.xz
| |__ ....txt
| |__ ....txt
| ...
|__ subset001.xz
|
....
```
So I wrote `openwebtext.py` like this
```
d... | https://github.com/huggingface/datasets/issues/650 | [
"Hi :) \r\nIn your dummy data zip file you can just have `subset000.xz` as directories instead of compressed files.\r\nLet me know if it helps",
"Thanks for your comment @lhoestq ,\r\nJust for confirmation, changing dummy data like this won't make dummy test test the functionality to extract `subsetxxx.xz` but ac... | null | 650 | false |
Inconsistent behavior in map | I'm observing inconsistent behavior when applying .map(). This happens specifically when I'm incrementally adding onto a feature that is a nested dictionary. Here's a simple example that reproduces the problem.
```python
import datasets
# Dataset with a single feature called 'field' consisting of two examples
d... | https://github.com/huggingface/datasets/issues/649 | [
"Thanks for reporting !\r\n\r\nThis issue must have appeared when we refactored type inference in `nlp`\r\nBy default the library tries to keep the same feature types when applying `map` but apparently it has troubles with nested structures. I'll try to fix that next week"
] | null | 649 | false |
offset overflow when multiprocessing batched map on large datasets. | It only happened when "multiprocessing" + "batched" + "large dataset" at the same time.
```
def bprocess(examples):
examples['len'] = []
for text in examples['text']:
examples['len'].append(len(text))
return examples
wiki.map(brpocess, batched=True, num_proc=8)
```
```
----------------------------... | https://github.com/huggingface/datasets/issues/648 | [
"This should be fixed with #645 ",
"Feel free to re-open if it still occurs"
] | null | 648 | false |
Cannot download dataset_info.json | I am running my job on a cloud server where does not provide for connections from the standard compute nodes to outside resources. Hence, when I use `dataset.load_dataset()` to load data, I got an error like this:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/text... | https://github.com/huggingface/datasets/issues/647 | [
"Thanks for reporting !\r\nWe should add support for servers without internet connection indeed\r\nI'll do that early next week",
"Thanks, @lhoestq !\r\nPlease let me know when it is available. ",
"Right now the recommended way is to create the dataset on a server with internet connection and then to save it an... | null | 647 | false |
Fix docs typos | This PR fixes few typos in the docs and the error in the code snippet in the set_format section in docs/source/torch_tensorflow.rst. `torch.utils.data.Dataloader` expects padded batches so it throws an error due to not being able to stack the unpadded tensors. If we follow the Quick tour from the docs where they add th... | https://github.com/huggingface/datasets/pull/646 | [] | {
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"merged_at": "2020-09-21T16:14:12"... | 646 | true |
Don't use take on dataset table in pyarrow 1.0.x | Fix #615 | https://github.com/huggingface/datasets/pull/645 | [
"I tried lower batch sizes and it didn't accelerate filter (quite the opposite actually).\r\nThe slow-down also appears for pyarrow 0.17.1 for some reason, not sure it comes from these changes",
"I just checked the benchmarks of other PRs and some of them had 300s (!!) for filter. This needs some investigation.."... | {
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"merged_at": "2020-09-19T16:46:31"... | 645 | true |
Better windows support | There are a few differences in the behavior of python and pyarrow on windows.
For example there are restrictions when accessing/deleting files that are open
Fix #590 | https://github.com/huggingface/datasets/pull/644 | [
"This PR is ready :)\r\nIt brings official support for windows.\r\n\r\nSome tests `AWSDatasetTest` are failing.\r\nThis is because I had to fix a few datasets that were not compatible with windows.\r\nThese test will pass once they got merged on master :)"
] | {
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"merged_at": "2020-09-25T14:02:28"... | 644 | true |
Caching processed dataset at wrong folder | Hi guys, I run this on my Colab (PRO):
```python
from datasets import load_dataset
dataset = load_dataset('text', data_files='/content/corpus.txt', cache_dir='/content/drive/My Drive', split='train')
def encode(examples):
return tokenizer(examples['text'], truncation=True, padding='max_length')
dataset = ... | https://github.com/huggingface/datasets/issues/643 | [
"Thanks for reporting !\r\nIt uses a temporary file to write the data.\r\nHowever it looks like the temporary file is not placed in the right directory during the processing",
"Well actually I just tested and the temporary file is placed in the same directory, so it should work as expected.\r\nWhich version of `d... | null | 643 | false |
Rename wnut fields | As mentioned in #641 it would be cool to have it follow the naming of the other NER datasets | https://github.com/huggingface/datasets/pull/642 | [] | {
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"merged_at": "2020-09-18T17:18:30"... | 642 | true |
Add Polyglot-NER Dataset | Adds the [Polyglot-NER dataset](https://sites.google.com/site/rmyeid/projects/polylgot-ner) with named entity tags for 40 languages. I include separate configs for each language as well as a `combined` config which lumps them all together. | https://github.com/huggingface/datasets/pull/641 | [
"Hi @joeddav thanks for adding this! (I did a long webarchive.org session to actually find that dataset a while ago).\r\n\r\nOne question: should we manually correct the labeling scheme to (at least) IOB1?\r\n\r\nThat means \"LOC\" will be converted to \"I-LOC\". IOB1 is not explict. mentioned in the paper, but it ... | {
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"merged_at": "2020-09-20T03:04:43"... | 641 | true |
Make shuffle compatible with temp_seed | This code used to return different dataset at each run
```python
import dataset as ds
dataset = ...
with ds.temp_seed(42):
shuffled = dataset.shuffle()
```
Now it returns the same one since the seed is set | https://github.com/huggingface/datasets/pull/640 | [] | {
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"merged_at": "2020-09-18T11:47:50"... | 640 | true |
Update glue QQP checksum | Fix #638 | https://github.com/huggingface/datasets/pull/639 | [] | {
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"merged_at": "2020-09-18T11:37:07"... | 639 | true |
GLUE/QQP dataset: NonMatchingChecksumError | Hi @lhoestq , I know you are busy and there are also other important issues. But if this is easy to be fixed, I am shamelessly wondering if you can give me some help , so I can evaluate my models and restart with my developing cycle asap. 😚
datasets version: editable install of master at 9/17
`datasets.load_data... | https://github.com/huggingface/datasets/issues/638 | [
"Hi ! Sure I'll take a look"
] | null | 638 | false |
Add MATINF | https://github.com/huggingface/datasets/pull/637 | [] | {
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"merged_at": "2020-09-17T13:23:17"... | 637 | true | |
Consistent ner features | As discussed in #613 , this PR aims at making NER feature names consistent across datasets.
I changed the feature names of LinCE and XTREME/PAN-X | https://github.com/huggingface/datasets/pull/636 | [] | {
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"merged_at": "2020-09-17T09:52:58"... | 636 | true |
Loglevel | Continuation of #618 | https://github.com/huggingface/datasets/pull/635 | [
"I think it's ready now @stas00, did you want to add something else ?\r\nThis PR includes your changes but with the level set to warning",
"LGTM, thank you, @lhoestq "
] | {
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"merged_at": "2020-09-17T09:52:18"... | 635 | true |
Add ConLL-2000 dataset | Adds ConLL-2000 dataset used for text chunking. See https://www.clips.uantwerpen.be/conll2000/chunking/ for details and [motivation](https://github.com/huggingface/transformers/pull/7041#issuecomment-692710948) behind this PR | https://github.com/huggingface/datasets/pull/634 | [] | {
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"merged_at": "2020-09-17T10:38:10"... | 634 | true |
Load large text file for LM pre-training resulting in OOM | I tried to pretrain Longformer using transformers and datasets. But I got OOM issues with loading a large text file. My script is almost like this:
```python
from datasets import load_dataset
@dataclass
class DataCollatorForDatasetsLanguageModeling(DataCollatorForLanguageModeling):
"""
Data collator u... | https://github.com/huggingface/datasets/issues/633 | [
"Not sure what could cause that on the `datasets` side. Could this be a `Trainer` issue ? cc @julien-c @sgugger ?",
"There was a memory leak issue fixed recently in master. You should install from source and see if it fixes your problem.",
"@lhoestq @sgugger Thanks for your comments. I have install from source ... | null | 633 | false |
Fix typos in the loading datasets docs | This PR fixes two typos in the loading datasets docs, one of them being a broken link to the `load_dataset` function. | https://github.com/huggingface/datasets/pull/632 | [
"thanks!"
] | {
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"merged_at": "2020-09-16T06:52:44"... | 632 | true |
Fix text delimiter | I changed the delimiter in the `text` dataset script.
It should fix the `pyarrow.lib.ArrowInvalid: CSV parse error` from #622
I changed the delimiter to an unused ascii character that is not present in text files : `\b` | https://github.com/huggingface/datasets/pull/631 | [
"Which OS are you using ?@abhi1nandy2",
"> Which OS are you using ?\r\n\r\nPRETTY_NAME=\"Debian GNU/Linux 9 (stretch)\"\r\nNAME=\"Debian GNU/Linux\"\r\nVERSION_ID=\"9\"\r\nVERSION=\"9 (stretch)\"\r\nVERSION_CODENAME=stretch\r\nID=debian\r\nHOME_URL=\"https://www.debian.org/\"\r\nSUPPORT_URL=\"https://www.debian.o... | {
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"merged_at": "2020-09-15T08:26:25"... | 631 | true |
Text dataset not working with large files | ```
Traceback (most recent call last):
File "examples/language-modeling/run_language_modeling.py", line 333, in <module>
main()
File "examples/language-modeling/run_language_modeling.py", line 262, in main
get_dataset(data_args, tokenizer=tokenizer, cache_dir=model_args.cache_dir) if training_args.do_t... | https://github.com/huggingface/datasets/issues/630 | [
"Seems like it works when setting ```block_size=2100000000``` or something arbitrarily large though.",
"Can you give us some stats on the data files you use as inputs?",
"Basically ~600MB txt files(UTF-8) * 59. \r\ncontents like ```안녕하세요, 이것은 예제로 한번 말해보는 텍스트입니다. 그냥 이렇다고요.<|endoftext|>\\n```\r\n\r\nAlso, it gets... | null | 630 | false |
straddling object straddles two block boundaries | I am trying to read json data (it's an array with lots of dictionaries) and getting block boundaries issue as below :
I tried calling read_json with readOptions but no luck .
```
table = json.read_json(fn)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pyarrow/_json.pyx", li... | https://github.com/huggingface/datasets/issues/629 | [
"sorry it's an apache arrow issue."
] | null | 629 | false |
Update docs links in the contribution guideline | Fixed the `add a dataset` and `share a dataset` links in the contribution guideline to refer to the new docs website. | https://github.com/huggingface/datasets/pull/628 | [
"Thanks!"
] | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/628",
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"patch_url": "https://github.com/huggingface/datasets/pull/628.patch",
"merged_at": "2020-09-15T06:19:35"... | 628 | true |
fix (#619) MLQA features names | Fixed the features names as suggested in (#619) in the `_generate_examples` and `_info` methods in the MLQA loading script and also changed the names in the `dataset_infos.json` file. | https://github.com/huggingface/datasets/pull/627 | [] | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/627",
"html_url": "https://github.com/huggingface/datasets/pull/627",
"diff_url": "https://github.com/huggingface/datasets/pull/627.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/627.patch",
"merged_at": "2020-09-16T06:54:11"... | 627 | true |
Update GLUE URLs (now hosted on FB) | NYU is switching dataset hosting from Google to FB. This PR closes https://github.com/huggingface/datasets/issues/608 and is necessary for https://github.com/jiant-dev/jiant/issues/161. This PR updates the data URLs based on changes made in https://github.com/nyu-mll/jiant/pull/1112.
Note: rebased on huggingface/dat... | https://github.com/huggingface/datasets/pull/626 | [] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/626.patch",
"merged_at": "2020-09-16T06:53:18"... | 626 | true |
dtype of tensors should be preserved | After switching to `datasets` my model just broke. After a weekend of debugging, the issue was that my model could not handle the double that the Dataset provided, as it expected a float (but didn't give a warning, which seems a [PyTorch issue](https://discuss.pytorch.org/t/is-it-required-that-input-and-hidden-for-gru-... | https://github.com/huggingface/datasets/issues/625 | [
"Indeed we convert tensors to list to be able to write in arrow format. Because of this conversion we lose the dtype information. We should add the dtype detection when we do type inference. However it would require a bit of refactoring since currently the conversion happens before the type inference..\r\n\r\nAnd t... | null | 625 | false |
Add learningq dataset | Hi,
Thank you again for this amazing repo.
Would it be possible for y'all to add the LearningQ dataset - https://github.com/AngusGLChen/LearningQ ?
| https://github.com/huggingface/datasets/issues/624 | [] | null | 624 | false |
Custom feature types in `load_dataset` from CSV | I am trying to load a local file with the `load_dataset` function and I want to predefine the feature types with the `features` argument. However, the types are always the same independent of the value of `features`.
I am working with the local files from the emotion dataset. To get the data you can use the followi... | https://github.com/huggingface/datasets/issues/623 | [
"Currently `csv` doesn't support the `features` attribute (unlike `json`).\r\nWhat you can do for now is cast the features using the in-place transform `cast_`\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset('csv', data_files=file_dict, delimiter=';', column_names=['text', 'label... | null | 623 | false |
load_dataset for text files not working | Trying the following snippet, I get different problems on Linux and Windows.
```python
dataset = load_dataset("text", data_files="data.txt")
# or
dataset = load_dataset("text", data_files=["data.txt"])
```
(ps [This example](https://huggingface.co/docs/datasets/loading_datasets.html#json-files) shows that ... | https://github.com/huggingface/datasets/issues/622 | [
"Can you give us more information on your os and pip environments (pip list)?",
"@thomwolf Sure. I'll try downgrading to 3.7 now even though Arrow say they support >=3.5.\r\n\r\nLinux (Ubuntu 18.04) - Python 3.8\r\n======================\r\nPackage - Version\r\n---------------------\r\ncertifi 2... | null | 622 | false |
[docs] Index: The native emoji looks kinda ugly in large size | https://github.com/huggingface/datasets/pull/621 | [] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/621.patch",
"merged_at": "2020-09-15T06:20:02"... | 621 | true | |
map/filter multiprocessing raises errors and corrupts datasets | After upgrading to the 1.0 started seeing errors in my data loading script after enabling multiprocessing.
```python
...
ner_ds_dict = ner_ds.train_test_split(test_size=test_pct, shuffle=True, seed=seed)
ner_ds_dict["validation"] = ner_ds_dict["test"]
rel_ds_dict = rel_ds.train_test_split(test_si... | https://github.com/huggingface/datasets/issues/620 | [
"It seems that I ran into the same problem\r\n```\r\ndef tokenize(cols, example):\r\n for in_col, out_col in cols.items():\r\n example[out_col] = hf_tokenizer.convert_tokens_to_ids(hf_tokenizer.tokenize(example[in_col]))\r\n return example\r\ncola = datasets.load_dataset('glue', 'cola')\r\ntokenized_cola = col... | null | 620 | false |
Mistakes in MLQA features names | I think the following features in MLQA shouldn't be named the way they are:
1. `questions` (should be `question`)
2. `ids` (should be `id`)
3. `start` (should be `answer_start`)
The reasons I'm suggesting these features be renamed are:
* To make them consistent with other QA datasets like SQuAD, XQuAD, TyDiQA et... | https://github.com/huggingface/datasets/issues/619 | [
"Indeed you're right ! Thanks for reporting that\r\n\r\nCould you open a PR to fix the features names ?"
] | null | 619 | false |
sync logging utils with transformers | sync the docs/code with the recent changes in transformers' `logging` utils:
1. change the default level to `WARNING`
2. add `DATASETS_VERBOSITY` env var
3. expand docs | https://github.com/huggingface/datasets/pull/618 | [
"Also, some downloads and dataset processing can be quite long for large datasets like wikipedia/pg19/etc. We probably don't want to user to think that the library is hanging. Happy to reorganize logging between DEBUG/INFO/WARNING to make it less verbose by default though.",
"The problem is that `transformers` im... | {
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"merged_at": null
} | 618 | true |
Compare different Rouge implementations | I used RougeL implementation provided in `datasets` [here](https://github.com/huggingface/datasets/blob/master/metrics/rouge/rouge.py) and it gives numbers that match those reported in the pegasus paper but very different from those reported in other papers, [this](https://arxiv.org/pdf/1909.03186.pdf) for example.
Ca... | https://github.com/huggingface/datasets/issues/617 | [
"Updates - the differences between the following three\r\n(1) https://github.com/bheinzerling/pyrouge (previously popular. The one I trust the most)\r\n(2) https://github.com/google-research/google-research/tree/master/rouge\r\n(3) https://github.com/pltrdy/files2rouge (used in fairseq)\r\ncan be explained by two t... | null | 617 | false |
UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors | I am trying out the library and want to load in pickled data with `from_dict`. In that dict, one column `text` should be tokenized and the other (an embedding vector) should be retained. All other columns should be removed. When I eventually try to set the format for the columns with `set_format` I am getting this stra... | https://github.com/huggingface/datasets/issues/616 | [
"I have the same issue",
"Same issue here when Trying to load a dataset from disk.",
"I am also experiencing this issue, and don't know if it's affecting my training.",
"Same here. I hope the dataset is not being modified in-place.",
"I think the only way to avoid this warning would be to do a copy of the n... | null | 616 | false |
Offset overflow when slicing a big dataset with an array of indices in Pyarrow >= 1.0.0 | How to reproduce:
```python
from datasets import load_dataset
wiki = load_dataset("wikipedia", "20200501.en", split="train")
wiki[[0]]
---------------------------------------------------------------------------
ArrowInvalid Traceback (most recent call last)
<ipython-input-13-38... | https://github.com/huggingface/datasets/issues/615 | [
"Related: https://issues.apache.org/jira/browse/ARROW-9773\r\n\r\nIt's definitely a size thing. I took a smaller dataset with 87000 rows and did:\r\n```\r\nfor i in range(10,1000,20):\r\n table = pa.concat_tables([dset._data]*i)\r\n table.take([0])\r\n```\r\nand it broke at around i=300.\r\n\r\nAlso when `_in... | null | 615 | false |
[doc] Update deploy.sh | https://github.com/huggingface/datasets/pull/614 | [] | {
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"merged_at": "2020-09-14T08:49:17"... | 614 | true | |
Add CoNLL-2003 shared task dataset | Please consider adding CoNLL-2003 shared task dataset as it's beneficial for token classification tasks. The motivation behind this PR is the [PR](https://github.com/huggingface/transformers/pull/7041) in the transformers project. This dataset would be not only useful for the usual run-of-the-mill NER tasks but also fo... | https://github.com/huggingface/datasets/pull/613 | [
"I think we should somewhere mention, that is the dataset in IOB2 tagging scheme, whereas the original dataset uses IOB1 :)",
"Indeed this is something we want to mention.\r\n\r\nIf would want to add more details about the IOB1->2 change, feel free to ignore my suggestions and edit the description + update the da... | {
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"merged_at": "2020-09-17T10:36:38"... | 613 | true |
add multi-proc to dataset dict | Add multi-proc to `DatasetDict` | https://github.com/huggingface/datasets/pull/612 | [] | {
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"merged_at": "2020-09-11T10:20:11"... | 612 | true |
ArrowCapacityError: List array cannot contain more than 2147483646 child elements, have 2147483648 | Hi, I'm trying to load a dataset from Dataframe, but I get the error:
```bash
---------------------------------------------------------------------------
ArrowCapacityError Traceback (most recent call last)
<ipython-input-7-146b6b495963> in <module>
----> 1 dataset = Dataset.from_pandas(emb)... | https://github.com/huggingface/datasets/issues/611 | [
"Can you give us stats/information on your pandas DataFrame?",
"```\r\n<class 'pandas.core.frame.DataFrame'>\r\nInt64Index: 17136104 entries, 0 to 17136103\r\nData columns (total 6 columns):\r\n # Column Dtype \r\n--- ------ ----- \r\n 0 item_id int64 \r\n 1 item_titl object \r\n... | null | 611 | false |
Load text file for RoBERTa pre-training. | I migrate my question from https://github.com/huggingface/transformers/pull/4009#issuecomment-690039444
I tried to train a Roberta from scratch using transformers. But I got OOM issues with loading a large text file.
According to the suggestion from @thomwolf , I tried to implement `datasets` to load my text file.... | https://github.com/huggingface/datasets/issues/610 | [
"Could you try\r\n```python\r\nload_dataset('text', data_files='test.txt',cache_dir=\"./\", split=\"train\")\r\n```\r\n?\r\n\r\n`load_dataset` returns a dictionary by default, like {\"train\": your_dataset}",
"Hi @lhoestq\r\nThanks for your suggestion.\r\n\r\nI tried \r\n```\r\ndataset = load_dataset('text', data... | null | 610 | false |
Update GLUE URLs (now hosted on FB) | NYU is switching dataset hosting from Google to FB. This PR closes https://github.com/huggingface/datasets/issues/608 and is necessary for https://github.com/jiant-dev/jiant/issues/161. This PR updates the data URLs based on changes made in https://github.com/nyu-mll/jiant/pull/1112. | https://github.com/huggingface/datasets/pull/609 | [
"Thanks for opening this PR :) \r\n\r\nWe changed the name of the lib from nlp to datasets yesterday.\r\nCould you rebase from master and re-generate the dataset_info.json file to fix the name changes ?",
"Rebased changes here: https://github.com/huggingface/datasets/pull/626"
] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/609.patch",
"merged_at": null
} | 609 | true |
Don't use the old NYU GLUE dataset URLs | NYU is switching dataset hosting from Google to FB. Initial changes to `datasets` are in https://github.com/jeswan/nlp/commit/b7d4a071d432592ded971e30ef73330529de25ce. What tests do you suggest I run before opening a PR?
See: https://github.com/jiant-dev/jiant/issues/161 and https://github.com/nyu-mll/jiant/pull/111... | https://github.com/huggingface/datasets/issues/608 | [
"Feel free to open the PR ;)\r\nThanks for updating the dataset_info.json file !"
] | null | 608 | false |
Add transmit_format wrapper and tests | Same as #605 but using a decorator on-top of dataset transforms that are not in place | https://github.com/huggingface/datasets/pull/607 | [] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/607.patch",
"merged_at": "2020-09-10T15:21:47"... | 607 | true |
Quick fix :) | `nlp` => `datasets` | https://github.com/huggingface/datasets/pull/606 | [
":heart:"
] | {
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"merged_at": "2020-09-10T16:18:30"... | 606 | true |
[Datasets] Transmit format to children | Transmit format to children obtained when processing a dataset.
Added a test.
When concatenating datasets, if the formats are disparate, the concatenated dataset has a format reset to defaults. | https://github.com/huggingface/datasets/pull/605 | [
"Closing as #607 was merged"
] | {
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"merged_at": null
} | 605 | true |
Update bucket prefix | cc @julien-c | https://github.com/huggingface/datasets/pull/604 | [] | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/604",
"html_url": "https://github.com/huggingface/datasets/pull/604",
"diff_url": "https://github.com/huggingface/datasets/pull/604.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/604.patch",
"merged_at": "2020-09-10T12:45:32"... | 604 | true |
Set scripts version to master | By default the scripts version is master, so that if the library is installed with
```
pip install git+http://github.com/huggingface/nlp.git
```
or
```
git clone http://github.com/huggingface/nlp.git
pip install -e ./nlp
```
will use the latest scripts, and not the ones from the previous version. | https://github.com/huggingface/datasets/pull/603 | [] | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/603",
"html_url": "https://github.com/huggingface/datasets/pull/603",
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"patch_url": "https://github.com/huggingface/datasets/pull/603.patch",
"merged_at": "2020-09-10T11:02:04"... | 603 | true |
apply offset to indices in multiprocessed map | Fix #597
I fixed the indices by applying an offset.
I added the case to our tests to make sure it doesn't happen again.
I also added the message proposed by @thomwolf in #597
```python
>>> d.select(range(10)).map(fn, with_indices=True, batched=True, num_proc=2, load_from_cache_file=False)
Done writing 10 ... | https://github.com/huggingface/datasets/pull/602 | [] | {
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"patch_url": "https://github.com/huggingface/datasets/pull/602.patch",
"merged_at": "2020-09-10T11:03:37"... | 602 | true |
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