| --- |
| pretty_name: synthetic-extraction |
| language: |
| - en |
| license: apache-2.0 |
| task_categories: |
| - token-classification |
| - question-answering |
| tags: |
| - tasksource |
| - jev |
| - extraction |
| - clairic |
| - synthetic |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-*.parquet |
| - split: validation |
| path: data/validation-*.parquet |
| - split: test |
| path: data/test-*.parquet |
| --- |
| |
| # synthetic-extraction |
|
|
| LLM-written extraction requests: one natural document and the fields an application would extract from it, typed |
| `text` (one span) or `list` (every matching span), answered with character spans or null, as extraction models |
| (e.g. Cloudflare's Clairic) are asked. It covers fields that need reading rather than a solver (the corrected date in |
| a thread, who is assigned an action, the item a complaint is about); computable fields are in |
| [procedural-extraction](https://huggingface.co/datasets/tasksource/procedural-extraction). It is a small booster for |
| the `extraction` config of |
| [tasksource-jev-typed-decisions](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions). |
|
|
| ## How it is made |
|
|
| 1. **Design**: per domain and document source, `deepseek-v4-flash-0731` drafts an application's schema: a document kind |
| and typed fields with precise instructions. |
| 2. **Write**: it writes documents with an intended answer per field, each planned as present, present beside a near |
| miss (a similar value that does not qualify), or absent beside a near miss, so nulls are earned. |
| 3. **Verify**: answers must be verbatim spans. Two blind readers, one of another model family |
| (`gpt-oss-120b`, `deepseek-v4-flash-0731`) fill every field. A field is kept when both agree with the |
| writer (up to case, edge punctuation and a leading article); when one disagrees, a judge sees both answers in a |
| random order and the field is kept only for an unambiguous verdict for the writer. When both disagree it is |
| dropped, unless both copy the same span and the judge rules for it over the writer's answer (the writer missed a |
| value it wrote). Documents keep their verified fields (at least 2). |
|
|
| 43,189 of 53,090 written fields passed verification. Splits are by schema: validation and |
| test schemas never occur in train. Prompts, models and the generation commit are in |
| [provenance.json](provenance.json). |
|
|
| | split | rows | |
| |---|---| |
| | train | 7,670 | |
| | validation | 1,035 | |
| | test | 1,124 | |
|
|
| ## Schema |
|
|
| `state` (the document), `fields` (`[{name, type, instruction}]`), `answers` (one per field: `{null, values: |
| [{text, start, end}]}`, `state[start:end] == text`), `metadata` (JSON: schema, domain, document source, field |
| plans, judged and dropped fields). |
|
|
| ## Citation |
|
|
| If you use tasksource, its standardized task annotations, or datasets derived from them in published research, please cite the tasksource paper (Sileo, LREC-COLING 2024). |
|
|
| ```bibtex |
| @inproceedings{sileo-2024-tasksource, |
| title = "tasksource: A Large Collection of {NLP} tasks with a Structured Dataset Preprocessing Framework", |
| author = "Sileo, Damien", |
| booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)", |
| month = may, |
| year = "2024", |
| address = "Torino, Italia", |
| publisher = "ELRA and ICCL", |
| url = "https://aclanthology.org/2024.lrec-main.1361", |
| doi = "10.63317/2h4pkr685mkq", |
| pages = "15655--15684", |
| } |
| ``` |
|
|
