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--- |
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task_categories: |
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- translation |
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--- |
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# AutoTrain Dataset for project: xx |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project xx. |
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### Languages |
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The BCP-47 code for the dataset's language is unk. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"feat_db_id": "department_management", |
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"target": "SELECT count(*) FROM head WHERE age > 56", |
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"source": "How many heads of the departments are older than 56 ?", |
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"feat_query_toks": [ |
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"SELECT", |
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"count", |
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"(", |
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"*", |
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")", |
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"FROM", |
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"head", |
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"WHERE", |
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"age", |
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">", |
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"56" |
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], |
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"feat_query_toks_no_value": [ |
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"select", |
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"count", |
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"(", |
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"*", |
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")", |
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"from", |
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"head", |
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"where", |
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"age", |
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">", |
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"value" |
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], |
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"feat_question_toks": [ |
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"How", |
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"many", |
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"heads", |
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"of", |
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"the", |
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"departments", |
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"are", |
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"older", |
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"than", |
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"56", |
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"?" |
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] |
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}, |
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{ |
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"feat_db_id": "department_management", |
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"target": "SELECT name , born_state , age FROM head ORDER BY age", |
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"source": "List the name, born state and age of the heads of departments ordered by age.", |
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"feat_query_toks": [ |
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"SELECT", |
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"name", |
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",", |
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"born_state", |
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",", |
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"age", |
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"FROM", |
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"head", |
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"ORDER", |
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"BY", |
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"age" |
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], |
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"feat_query_toks_no_value": [ |
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"select", |
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"name", |
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",", |
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"born_state", |
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",", |
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"age", |
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"from", |
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"head", |
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"order", |
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"by", |
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"age" |
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], |
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"feat_question_toks": [ |
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"List", |
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"the", |
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"name", |
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",", |
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"born", |
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"state", |
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"and", |
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"age", |
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"of", |
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"the", |
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"heads", |
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"of", |
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"departments", |
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"ordered", |
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"by", |
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"age", |
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"." |
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] |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"feat_db_id": "Value(dtype='string', id=None)", |
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"target": "Value(dtype='string', id=None)", |
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"source": "Value(dtype='string', id=None)", |
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"feat_query_toks": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", |
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"feat_query_toks_no_value": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", |
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"feat_question_toks": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 1001 | |
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| valid | 1001 | |
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