| | --- |
| | dataset_info: |
| | features: |
| | - name: question_id |
| | dtype: string |
| | - name: category |
| | dtype: string |
| | - name: turns |
| | sequence: string |
| | - name: ground_truth |
| | dtype: string |
| | - name: task |
| | dtype: string |
| | - name: livebench_release_date |
| | dtype: timestamp[s] |
| | - name: livebench_removal_date |
| | dtype: string |
| | splits: |
| | - name: test |
| | num_bytes: 305848 |
| | num_examples: 150 |
| | download_size: 144796 |
| | dataset_size: 305848 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: test |
| | path: data/test-* |
| | arxiv: 2406.19314 |
| | --- |
| | # Dataset Card for "livebench/data_analysis" |
| | LiveBench is a benchmark for LLMs designed with test set contamination and objective evaluation in mind. It has the following properties: |
| | - LiveBench is designed to limit potential contamination by releasing new questions monthly, as well as having questions based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses. |
| | - Each question has verifiable, objective ground-truth answers, allowing hard questions to be scored accurately and automatically, without the use of an LLM judge. |
| | - LiveBench currently contains a set of 18 diverse tasks across 6 categories, and we will release new, harder tasks over time. |
| | This is the instruction_following category of livebench. |
| |
|
| | See more in our [paper](https://arxiv.org/abs/2406.19314), [leaderboard](https://livebench.ai/), and [datasheet](https://github.com/LiveBench/LiveBench/blob/main/docs/DATASHEET.md). |
| |
|
