| --- |
| configs: |
| - config_name: jfleg |
| data_files: "jfleg/data.jsonl" |
| default: true |
| - config_name: asset |
| data_files: "asset/data.jsonl" |
| - config_name: fruit |
| data_files: "fruit/data.jsonl" |
| - config_name: iterater |
| data_files: "iterater/data.jsonl" |
| - config_name: iterater_clarity |
| data_files: "iterater_clarity/data.jsonl" |
| - config_name: iterater_coherence |
| data_files: "iterater_coherence/data.jsonl" |
| - config_name: iterater_fluency |
| data_files: "iterater_fluency/data.jsonl" |
| - config_name: stsb_multi_mt |
| data_files: "stsb_multi_mt/data.jsonl" |
| - config_name: turk |
| data_files: "turk/data.jsonl" |
| - config_name: wafer_insert |
| data_files: "wafer_insert/data.jsonl" |
| - config_name: wnc |
| data_files: "wnc/data.jsonl" |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - text-generation |
| tags: |
| - text-editing |
| - benchmark |
| --- |
| |
| # EditEval: The Instruction-Based Benchmark for Text Improvements |
|
|
| This dataset contains the [EditEval benchmark](https://arxiv.org/abs/2209.13331) data, converted to JSONL and organized by task/dataset. |
|
|
| ## Subsets |
|
|
| | Config | Task | Examples | |
| |--------|------|----------| |
| | `jfleg` | Fluency | 1,501 | |
| | `asset` | Simplification | 2,359 | |
| | `turk` | Simplification | 2,359 | |
| | `iterater` | Mixed (all tasks) | 621 | |
| | `iterater_fluency` | Fluency | 203 | |
| | `iterater_clarity` | Clarity | 342 | |
| | `iterater_coherence` | Coherence | 76 | |
| | `stsb_multi_mt` | Paraphrasing | 153 | |
| | `wnc` | Neutralization | 1,700 | |
| | `wafer_insert` | Updating (insertion) | 9,108 | |
| | `fruit` | Updating | 150 | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load a specific subset |
| ds = load_dataset("bzz2/EditEval", "jfleg") |
| |
| # Load with a limit |
| ds = load_dataset("bzz2/EditEval", "fruit", split="train[:10]") |
| ``` |
|
|
| ## Schema |
|
|
| Each record has the following fields: |
|
|
| - `id` — unique example identifier |
| - `input` — source text to be edited |
| - `title` — article/document title (if applicable) |
| - `task_type` — editing task (fluency, simplification, neutralization, etc.) |
| - `retrieved_documents` — supporting documents (used by updating tasks) |
| - `meta` — additional metadata (JSON string) |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{dwivedi-edit-2022, |
| doi = {10.48550/ARXIV.2209.13331}, |
| url = {https://arxiv.org/abs/2209.13331}, |
| author = {Dwivedi-Yu, Jane and Schick, Timo and Jiang, Zhengbao and Lomeli, Maria and Lewis, Patrick and Izacard, Gautier and Grave, Edouard and Riedel, Sebastian and Petroni, Fabio}, |
| title = {EditEval: An Instruction-Based Benchmark for Text Improvements}, |
| publisher = {arXiv}, |
| year = {2022}, |
| } |
| ``` |
|
|
