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5.58 kB
| dataset_info: | |
| - config_name: questions | |
| features: | |
| - name: question_id | |
| dtype: int64 | |
| - name: source | |
| dtype: large_string | |
| - name: source_index | |
| dtype: int64 | |
| - name: db_id | |
| dtype: large_string | |
| - name: question | |
| dtype: large_string | |
| - name: sql | |
| dtype: large_string | |
| - name: question_toks | |
| list: string | |
| - name: query_toks | |
| list: string | |
| - name: query_toks_no_value | |
| list: string | |
| - name: sql_parsed | |
| dtype: large_string | |
| splits: | |
| - name: train | |
| num_bytes: 10162458 | |
| num_examples: 8656 | |
| - name: validation | |
| num_bytes: 1119256 | |
| num_examples: 1034 | |
| - name: test | |
| num_bytes: 2405196 | |
| num_examples: 2147 | |
| download_size: 1795271 | |
| dataset_size: 13686910 | |
| - config_name: schemas | |
| features: | |
| - name: db_id | |
| dtype: large_string | |
| - name: schema_raw | |
| dtype: large_string | |
| - name: table_names | |
| list: string | |
| - name: table_names_original | |
| list: string | |
| - name: column_names | |
| dtype: large_string | |
| - name: column_names_original | |
| dtype: large_string | |
| - name: column_types | |
| list: string | |
| - name: primary_keys | |
| dtype: large_string | |
| - name: foreign_keys | |
| dtype: large_string | |
| splits: | |
| - name: train | |
| num_bytes: 431715 | |
| num_examples: 146 | |
| - name: validation | |
| num_bytes: 44820 | |
| num_examples: 20 | |
| - name: test | |
| num_bytes: 88833 | |
| num_examples: 40 | |
| download_size: 229552 | |
| dataset_size: 565368 | |
| configs: | |
| - config_name: questions | |
| data_files: | |
| - split: train | |
| path: questions/train-* | |
| - split: validation | |
| path: questions/validation-* | |
| - split: test | |
| path: questions/test-* | |
| - config_name: schemas | |
| data_files: | |
| - split: train | |
| path: schemas/train-* | |
| - split: validation | |
| path: schemas/validation-* | |
| - split: test | |
| path: schemas/test-* | |
| language: | |
| - en | |
| license: cc-by-sa-4.0 | |
| size_categories: | |
| - 10K<n<100K | |
| task_categories: | |
| - text-generation | |
| pretty_name: Spider (complete) | |
| tags: | |
| - text-to-sql | |
| - spider | |
| - sqlite | |
| # Spider (complete) | |
| The [Spider](https://yale-lily.github.io/spider) text-to-SQL dataset with its questions, the DDL and metadata of every | |
| database, and the SQLite files, in the same layout as | |
| [birdsql_complete_devset](https://huggingface.co/datasets/EuricoGVP/birdsql_complete_devset). | |
| ## Splits | |
| | Split | Questions | Databases | | |
| | --- | --- | --- | | |
| | `train` | 8,656 | 146 | | |
| | `validation` | 1,034 | 20 | | |
| | `test` | 2,147 | 40 | | |
| No database appears in more than one split. | |
| ## Structure | |
| **`questions`**: `question_id` (unique within the split), `source` (`spider` or `others`), `source_index` (position in | |
| the original file), `db_id`, `question`, `sql`, `question_toks`, `query_toks`, `query_toks_no_value` and `sql_parsed` | |
| (the original parsed query, as JSON text). | |
| **`schemas`**: one row per database, in the split that uses it: `db_id`, `schema_raw` (DDL from `sqlite_master`) and the | |
| original metadata `table_names`, `table_names_original`, `column_names`, `column_names_original`, `column_types`, | |
| `primary_keys` and `foreign_keys` (nested fields as JSON text). | |
| **`databases/<db_id>/<db_id>.sqlite`**: the SQLite file of every database. | |
| ## Usage | |
| ```python | |
| import json | |
| from datasets import load_dataset | |
| repo = "EuricoGVP/spider_sql_complete" | |
| questions = load_dataset(repo, "questions", split="train") | |
| schemas = {row["db_id"]: row for row in load_dataset(repo, "schemas", split="train")} | |
| row = questions[0] | |
| print(schemas[row["db_id"]]["schema_raw"]) | |
| print(row["question"], row["sql"]) | |
| print(json.loads(row["sql_parsed"])) | |
| ``` | |
| ## Changes from the original release | |
| - `train` merges `train_spider.json` and `train_others.json`, the official training set; `dev.json` is `validation`. | |
| - `query` is renamed to `sql`, and the parsed `sql` structure to `sql_parsed`. | |
| - Metadata comes from `tables.json` (with the 2020 fixes for `scholar` and `formula_1`) and from `test_tables.json` | |
| for the test-only databases. | |
| - Only the `.sqlite` files are included, taken from `test_database`, which holds all 206 databases. | |
| - Queries that do not compile in SQLite were removed: | |
| | Split | Source | Source index | Database | | |
| | --- | --- | --- | --- | | |
| | `train` | spider | 3153 | `assets_maintenance` | | |
| | `train` | spider | 4513 | `document_management` | | |
| | `train` | spider | 4514 | `document_management` | | |
| ## Notes | |
| - `schema_raw` is the DDL exactly as stored in each database, with inconsistent quoting and formatting. | |
| - The `formula_1` database in `train` shares its domain and tables with the `formula_1` database of the BIRD dev set. | |
| Exclude it when training models that are evaluated on BIRD. | |
| ## License and citation | |
| Spider is released under CC BY-SA 4.0. Please cite Spider and, for the `others` source, Finegan-Dollak et al. (2018), | |
| together with the original datasets listed in the Spider README. | |
| ```bibtex | |
| @inproceedings{yu2018spider, | |
| title = {Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task}, | |
| author = {Tao Yu and Rui Zhang and Kai Yang and Michihiro Yasunaga and Dongxu Wang and Zifan Li and James Ma and Irene Li and Qingning Yao and Shanelle Roman and Zilin Zhang and Dragomir Radev}, | |
| booktitle = {EMNLP}, | |
| year = {2018} | |
| } | |
| @inproceedings{finegan-dollak2018improving, | |
| title = {Improving Text-to-SQL Evaluation Methodology}, | |
| author = {Catherine Finegan-Dollak and Jonathan K. Kummerfeld and Li Zhang and Karthik Ramanathan and Sesh Sadasivam and Rui Zhang and Dragomir Radev}, | |
| booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics}, | |
| pages = {351--360}, | |
| year = {2018} | |
| } | |
| ``` | |