| --- |
| language: |
| - en |
| dataset_info: |
| config_name: continuation |
| features: |
| - name: input |
| dtype: string |
| - name: output |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 494305693 |
| num_examples: 204045 |
| - name: test |
| num_bytes: 27131445 |
| num_examples: 11332 |
| download_size: 321415083 |
| dataset_size: 521437138 |
| configs: |
| - config_name: continuation |
| data_files: |
| - split: train |
| path: continuation/train-* |
| - split: test |
| path: continuation/test-* |
| --- |
| |
| # Dataset Card for xsum |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| This is a preprocessed version of xsum dataset for benchmarks in LM-Polygraph. |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
| - **Curated by:** https://huggingface.co/LM-Polygraph |
| - **License:** https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md |
|
|
| ### Dataset Sources [optional] |
|
|
| <!-- Provide the basic links for the dataset. --> |
|
|
| - **Repository:** https://github.com/IINemo/lm-polygraph |
|
|
| ## Uses |
|
|
| <!-- Address questions around how the dataset is intended to be used. --> |
|
|
| ### Direct Use |
|
|
| <!-- This section describes suitable use cases for the dataset. --> |
|
|
| This dataset should be used for performing benchmarks on LM-polygraph. |
|
|
| ### Out-of-Scope Use |
|
|
| <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
|
|
| This dataset should not be used for further dataset preprocessing. |
|
|
| ## Dataset Structure |
|
|
| <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
|
|
| This dataset contains the "continuation" subset, which corresponds to main dataset, used in LM-Polygraph. It may also contain other subsets, which correspond to instruct methods, used in LM-Polygraph. |
|
|
| Each subset contains two splits: train and test. Each split contains two string columns: "input", which corresponds to processed input for LM-Polygraph, and "output", which corresponds to processed output for LM-Polygraph. |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| <!-- Motivation for the creation of this dataset. --> |
|
|
| This dataset is created in order to separate dataset creation code from benchmarking code. |
|
|
| ### Source Data |
|
|
| <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
|
|
| #### Data Collection and Processing |
|
|
| <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
|
|
| Data is collected from https://huggingface.co/datasets/xsum and processed by using build_dataset.py script in repository. |
| |
| #### Who are the source data producers? |
| |
| <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
| |
| People who created https://huggingface.co/datasets/xsum |
| |
| ## Bias, Risks, and Limitations |
| |
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
| |
| This dataset contains the same biases, risks, and limitations as its source dataset https://huggingface.co/datasets/xsum |
| |
| ### Recommendations |
| |
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
| |
| Users should be made aware of the risks, biases and limitations of the dataset. |
| |
