datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
birdbench
BirdBench Dataset
Documentation of how to use this using huggingface datasets coming soon.
birdbench-duckdb
BirdBench Dataset in DuckDB format
BirdBench is a benchmark for text-to-SQL capabilities, now available in DuckDB format for improved performance and usability.
About BirdBench
BirdBench is a comprehensive benchmark dataset for evaluating text-to-SQL capabilities of language models. It features a diverse collection of databases spanning various domains including:
Business and finance
Entertainment and media
Sports and recreation
Health and medicine
Education
Travel and… See the full description on the dataset page: https://huggingface.co/datasets/ucalyptus/birdbench-duckdb.bird-corpus-validationlink to original dataset: https://bird-bench.github.io/
Li, J., Hui, B., Qu, G., Yang, J., Li, B., Li, B., Wang, B., Qin, B., Geng, R., Huo, N. and Zhou, X., 2024. Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls. Advances in Neural Information Processing Systems, 36.
BIRD-benchbirdbench
BirdBench Dataset
Documentation of how to use this using huggingface datasets coming soon.
bird-corpusbibtex ref
@article{li2024can,
title={Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls},
author={Li, Jinyang and Hui, Binyuan and Qu, Ge and Yang, Jiaxi and Li, Binhua and Li, Bowen and Wang, Bailin and Qin, Bowen and Geng, Ruiying and Huo, Nan and others},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2024}
}
bird-queriesbibtext ref
@article{li2024can,
title={Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls},
author={Li, Jinyang and Hui, Binyuan and Qu, Ge and Yang, Jiaxi and Li, Binhua and Li, Bowen and Wang, Bailin and Qin, Bowen and Geng, Ruiying and Huo, Nan and others},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2024}
}
onmanifold-tfg-bird-benchmark
On-Manifold TFG — Fine-Grained Bird Benchmark
A parent–child benchmark for evaluating training-free guidance (TFG) of diffusion
models, introduced in Not All Prediction Targets Keep Training-Free Diffusion
Guidance on the Manifold (ECCV 2026).
The task it defines: classifier-free guidance steers generation toward a coarse
ImageNet parent class (e.g. goldfinch), while training-free guidance steers toward
a fine-grained child species (e.g. AMERICAN GOLDFINCH). Measuring how far a… See the full description on the dataset page: https://huggingface.co/datasets/ManLuML/onmanifold-tfg-bird-benchmark.bird-bench-questionsbird-text2sql-bench
Dataset Card for bird-text2sql-bench
bird-text2sql-bench 是 BIRD（BIg Bench for Large-Scale Database Grounded Text-to-SQL） 官方訓練集之 OpenAI Messages 格式版本，共 9,428 筆。相較於 Spider 1.0，BIRD 使用真實大型資料庫（70 個，涵蓋電商、運動、教育、醫療等 37+ 領域），並提供 evidence（數值提示）欄位，本資料集將 evidence 以 ### Hint 段落併入 user prompt，形成可直接餵入 SFT pipeline 之 system / user / assistant 三 role 對話。除原生之 messages 欄位外，另拆解出獨立之 system / user / assistant 字串欄位，可同時作為 SFT 語料與 benchmark evaluation pipeline 之直接輸入。
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/bird-text2sql-bench.bird-queries-validationflappy_bird_fixed_2_latency_lerobotbirdbench_1.0bird-benchmark-portuguesebird-text2sql-bench-zh