| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - text-generation |
| - question-answering |
| tags: |
| - text-to-sql |
| - ambiguity |
| configs: |
| - config_name: default |
| data_files: tasks.jsonl |
| size_categories: |
| - n<1K |
| --- |
| |
| # ARCS |
|
|
| Ambiguity Resolution Corpus for SQL. 311 task instances across 6 databases. |
|
|
| ## Files |
|
|
| - `tasks.jsonl` — one row per intended interpretation. |
| - `databases/sqlite/*.sqlite` — databases referenced by the `db` field. |
| - `databases/column_meanings.json` — column-level descriptions. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("kiaw73b5o7a/arcs-bench", split="train") |
| ``` |
|
|
| Most rows have the gold SQL string (`gold_queries[*].query`) masked to `null` to avoid label leakage; a small sample retains it. Other `gold_queries` fields (e.g. `exec_result`) are kept on every row. |
|
|
