| --- |
| license: cc-by-sa-4.0 |
| language: |
| - en |
| task_categories: |
| - text-generation |
| tags: |
| - text-to-sql |
| - agents |
| - reinforcement-learning |
| - tool-use |
| - schema-drift |
| - sqlite |
| - execution-verified |
| pretty_name: DriftSQL-Recovery |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: tasks |
| data_files: |
| - split: train |
| path: data/tasks/train.parquet |
| - split: tune |
| path: data/tasks/tune.parquet |
| - config_name: oracle_next_action |
| data_files: |
| - split: train |
| path: data/oracle_next_action/train.parquet |
| - split: tune |
| path: data/oracle_next_action/tune.parquet |
| - config_name: oracle_trajectories |
| data_files: |
| - split: train |
| path: data/oracle_trajectories/train.parquet |
| - split: tune |
| path: data/oracle_trajectories/tune.parquet |
| - config_name: rollout_index |
| data_files: |
| - split: train |
| path: data/rollout_index/train.parquet |
| - config_name: failure_trajectories |
| data_files: |
| - split: train |
| path: data/failure_trajectories/train.parquet |
| - config_name: recovery_sft |
| data_files: |
| - split: train |
| path: data/recovery_sft/train.parquet |
| - split: validation |
| path: data/recovery_sft/validation.parquet |
| - config_name: hard_replay |
| data_files: |
| - split: train |
| path: data/hard_replay/train.parquet |
| - config_name: sft_mix |
| data_files: |
| - split: train |
| path: data/sft_mix/train.parquet |
| - split: validation |
| path: data/sft_mix/validation.parquet |
| - config_name: grpo |
| data_files: |
| - split: train |
| path: data/grpo/train.parquet |
| - split: tune |
| path: data/grpo/tune.parquet |
| --- |
| |
| # DriftSQL-Recovery |
|
|
| **DriftSQL-Recovery** is an execution-verified dataset for training and |
| evaluating SQL agents under schema, business-knowledge, and interaction drift. |
| It contains database-isolated recovery tasks, canonical seven-tool |
| trajectories, real on-policy failures, Recovery SFT examples, hard replay, and |
| full-episode GRPO records. |
|
|
| The accompanying implementation, data factory, sandbox, reward, and evaluation |
| code are available in [DriftSQL](https://github.com/lixiao69sysu/DriftSQL). |
|
|
| ## Release scope |
|
|
| | Configuration | Split | Rows | Description | |
| |---|---|---:|---| |
| | `tasks` | train / tune | 2,400 / 432 | Execution-verified clean and drift-recovery tasks | |
| | `oracle_next_action` | train / tune | 24,285 / 2,254 | Seven-tool next-action supervision | |
| | `oracle_trajectories` | train / tune | 2,400 / 432 | Canonical execution-verified episodes | |
| | `rollout_index` | train | 2,400 | Multi-seed on-policy rollout index and outcomes | |
| | `failure_trajectories` | train | 1,066 | Unique full on-policy failure trajectories | |
| | `recovery_sft` | train / validation | 1,317 / 397 | State-aware recovery examples around first errors | |
| | `hard_replay` | train | 1,600 | Balanced real recovery and canonical replay examples | |
| | `sft_mix` | train / validation | 3,314 / 2,254 | Maintained Recovery SFT + Hard Replay mixture | |
| | `grpo` | train / tune | 3,200 / 432 | Full-episode VERL/GRPO records | |
|
|
| The public tasks span `clean`, `add_column`, `rename_column`, `rename_table`, |
| `replace_column`, and `compound` scenarios. Interaction profiles cover |
| `direct_clean`, `schema_only`, `knowledge_only`, and `must_ask` behavior. |
|
|
| ## Deliberately excluded |
|
|
| - **Fresh Blind320 is not published.** Its rows and answers remain sealed and |
| were not read while preparing this release. |
| - **No raw SQLite databases are redistributed.** Database assets must be |
| obtained from their upstream sources with the pinned revisions in the |
| DriftSQL repository. |
| - Checkpoints, local filesystem paths, access tokens, and machine-specific |
| runtime artifacts are not included. |
|
|
| These exclusions keep the final blind evaluation meaningful and avoid |
| duplicating roughly 52 GiB of upstream database assets. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| tasks = load_dataset("lxSYSU/DriftSQL-Recovery", "tasks") |
| failures = load_dataset("lxSYSU/DriftSQL-Recovery", "failure_trajectories") |
| sft = load_dataset("lxSYSU/DriftSQL-Recovery", "sft_mix") |
| grpo = load_dataset("lxSYSU/DriftSQL-Recovery", "grpo") |
| ``` |
|
|
| Paths that pointed to local upstream assets have been normalized to `hf://` or |
| `repo://` identifiers. They are provenance references, not bundled database |
| files. |
|
|
| ## Tool protocol |
|
|
| The maintained environment exposes a dynamic subset of seven actions: |
|
|
| ```text |
| get_schema_version |
| inspect_schema_diff |
| get_schema |
| ask_user |
| get_knowledge_definition |
| execute_sql |
| submit_solution |
| ``` |
|
|
| SQL targets and canonical trajectories were validated by executing original, |
| stale, and repaired SQL against isolated SQLite sessions. The runtime enforces |
| read-only authorization, timeouts, rollback, result-contract validation, and |
| dynamic action masks. |
|
|
| ## Data construction |
|
|
| The task factory derives deterministic schema and interaction changes from |
| public BIRD-family and SIX-GYM SQLite assets. Splits are assigned by `db_id`, |
| not by random row: |
|
|
| - Train: 2,400 tasks over 60 databases; |
| - Tune: 432 tasks over 18 disjoint databases; |
| - Fresh Blind: 320 tasks over 20 additional databases, withheld from this |
| public release. |
|
|
| For on-policy collection, 600 difficult Train tasks were sampled with multiple |
| seeds, producing 2,400 rollout outcomes and 1,066 unique failures. Failure |
| mining emphasizes wrong retrieval after schema diff, successful execution |
| without submission, must-ask mistakes, and compound recovery. |
|
|
| ## Source data and attribution |
|
|
| This release derives from the following CC BY-SA 4.0 datasets: |
|
|
| - [BIRD23 Train Filtered](https://huggingface.co/datasets/birdsql/bird23-train-filtered) |
| - [SIX-GYM-SQLite](https://huggingface.co/datasets/birdsql/six-gym-sqlite) |
| - [BIRD-Critic-SQLite](https://huggingface.co/datasets/birdsql/bird-critic-1.0-sqlite) |
| - [Mini-Interact](https://huggingface.co/datasets/birdsql/mini-interact) |
|
|
| Their licenses and terms remain applicable. DriftSQL adds versioned drift |
| generation, verified tool trajectories, on-policy failure annotations, |
| training mixtures, and leakage controls. This dataset is therefore released |
| under **CC BY-SA 4.0** rather than a software license. |
|
|
| ## Limitations |
|
|
| - The released execution environment targets SQLite. |
| - The tasks and tool traces are English; the DriftSQL application provides a |
| separate Chinese-to-English input adapter. |
| - The 2,400-row rollout index contains metadata for every rollout, while full |
| trajectories are published for the 1,066 mined failures. |
| - Tune is intended for checkpoint selection and must not be reported as a |
| final blind result. |
| - SQL execution should always occur in an isolated, read-only sandbox. |
|
|
| ## Reproducibility |
|
|
| Dataset revisions, generation scripts, split policies, and validation gates |
| are maintained in the |
| [DriftSQL repository](https://github.com/lixiao69sysu/DriftSQL). The release |
| metadata records that zero Fresh Blind rows and zero raw SQLite files are |
| included. |
|
|
