2 datasets found
  1. P

    BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)...

    • paperswithcode.com
    Updated Jan 5, 2024
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    Jinyang Li; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma; Guoliang Li; Kevin C. C. Chang; Fei Huang; Reynold Cheng; Yongbin Li (2024). BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) Dataset [Dataset]. https://paperswithcode.com/dataset/bird-sql
    Explore at:
    Dataset updated
    Jan 5, 2024
    Authors
    Jinyang Li; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma; Guoliang Li; Kevin C. C. Chang; Fei Huang; Reynold Cheng; Yongbin Li
    Description

    BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) represents a pioneering, cross-domain dataset that examines the impact of extensive database contents on text-to-SQL parsing. BIRD contains over 12,751 unique question-SQL pairs and 95 big databases with a total size of 33.4 GB. It also covers more than 37 professional domains, such as blockchain, hockey, healthcare and education, etc.

  2. O

    BIRD

    • opendatalab.com
    zip
    Updated May 13, 2023
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    Tsinghua University (2023). BIRD [Dataset]. https://opendatalab.com/OpenDataLab/BIRD
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 13, 2023
    Dataset provided by
    University of Hong Kong
    Alibaba
    Tsinghua University
    Description

    BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) represents a pioneering, cross-domain dataset that examines the impact of extensive database contents on text-to-SQL parsing. BIRD contains over 12,751 unique question-SQL pairs, 95 big databases with a total size of 33.4 GB. It also covers more than 37 professional domains, such as blockchain, hockey, healthcare and education, etc.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Jinyang Li; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma; Guoliang Li; Kevin C. C. Chang; Fei Huang; Reynold Cheng; Yongbin Li (2024). BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) Dataset [Dataset]. https://paperswithcode.com/dataset/bird-sql

BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) Dataset

Explore at:
Dataset updated
Jan 5, 2024
Authors
Jinyang Li; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma; Guoliang Li; Kevin C. C. Chang; Fei Huang; Reynold Cheng; Yongbin Li
Description

BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) represents a pioneering, cross-domain dataset that examines the impact of extensive database contents on text-to-SQL parsing. BIRD contains over 12,751 unique question-SQL pairs and 95 big databases with a total size of 33.4 GB. It also covers more than 37 professional domains, such as blockchain, hockey, healthcare and education, etc.

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