--- license: cc-by-4.0 task_categories: - text2text-generation - translation language: - en tags: - code pretty_name: spiderology size_categories: - 1KSpider dataset. * It is divided into 32 groups **(testsets)** of samples. Each group checks some models ability. * For each group there is control group **(simplyset)** - the same samples, but without considering features. * This is very similar to A/B-testing technic. * All the simplified samples (from control group) are new. * Test samples contains: 1. Examples extracted from Spider (not only from "dev", but also from "train" and "train_other") **Be careful,** if you use it for training! 2. Examples extracted from Spider, but corrected from ambiguity and errors 3. Manually created (new) examples ## Structure ### Folders and files * [\[all\]](/all) - the hole dataset in one place * ```all/testset_all.json``` - the samples with features from all testsets * ```all/simplyset_all.json``` - the samples without features from all testsets * ```all/spiderology.json``` - the samples with features from all testsets and simplysets * ```all/tables_all.json``` - the schemes of all tables required for requests * ```all/databases``` - the SQLite-databases for all requests in testsets and simplysets * [\[testsets\]](/testsets) - folder with testsets calledby their name * ```testsets/X/testset_X.json``` - the samples with feature X. Structure of samples is below * ```testsets/X/simplyset_X.json``` - the samples from testset without feature X. Structure of samples is the same * ```testsets/X/tables_X.json``` - the schemes of all tables for testset and simplyset * ```testsets/X/databases_X.json``` - the SQLite-databases for all requests in testsets and simplysets X * ```testsets/X/markup_X.json``` - the simplysets and testsets in one table (in the form convenient for comparing) * [\[experiments/predictions\]](/experiments/predictions) - folder with testsets calledby their name * ```/experiments/predictions/spiderology_with_predictions.json``` - all samples with predictions of two considering models ### Structure of testsets and simplysets ``` { "id": Unique ID of sample "db_id": Name od database, corresponds to folder with DB in the databases_X "query": SQL-query "query_toks": Tokens of SQL-query "query_toks_no_value": Tokens of SQL-query, filter value replaced by token 'value' "question": Natural language question "question_toks": Tokens of natural language question "sql": Structured SQL-query (in Spider format "tags": List of tags (features an sub-characteristics) "source": Variant of sources (see below) "parents_id": None for samples in testset or ID of simplified sample for simplification "is_simplification": 'true' for simplifications, 'false' for other samples "simplifications_tags": None for samples from testset, list of named simplified features for simplyset, "predictions": Dictionary with SQL-queries predicted by models (exists only in the folder "experiments"), "evaluation": Results of exact_matching, execution and human evaluation (exists only in the folder "experiments") } ``` #### Sources * ```SIMPLIFIED``` = Simplification of samples * ```SPIDER_DEV``` = Samples from Spider test set ('dev') * ```SPIDER_TRAIN``` = Samples from Spider train set ('train') * ```SPIDER_TRAIN_OTHERS``` = Samples from Spider train set ('train_other') * ```ADDED``` = Created samples with features (not from Spider) ## Test-set description Here: https://github.com/rology/spiderology?tab=readme-ov-file#test-set-description