vaishali/spider-tableQA
The spider‑tableQA dataset is a resource designed for multi‑table question answering tasks, containing a total of 7,700 samples across training and validation splits. Each sample includes a query, question, table name, table content, answer, source and target. The dataset is intended for training and evaluating QA models capable of handling multi‑table operations, with an emphasis on generating tabular answers.
Description
Dataset Overview
Dataset Configuration
- default configuration:
- training set: path
data/train-* - validation set: path
data/validation-*
- training set: path
Dataset Information
-
features:
- query: string type
- question: string type
- table_names: sequence of strings
- tables: sequence of strings
- answer: string type
- source: string type
- target: string type
-
splits:
- training set:
- Bytes: 2203191673
- Sample Count: 6715
- validation set:
- Bytes: 434370435
- Sample Count: 985
- training set:
-
download size: 535322409 bytes
-
dataset size: 2637562108 bytes
Task Category
- table-question-answering
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Topics
Source
Organization: hugging_face
Created: Unknown
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