Datasets › TACO-BAAI
TACO-BAAI (Topics in Algorithmic Code generation dataset)
TACO (Topics in Algorithmic Code generation dataset) is a dataset focused on algorithmic code generation, designed to provide a more challenging training dataset and evaluation benchmark for the code generation model field. The dataset consists of programming competition problems that are more difficult and closer to real programming scenarios. It emphasizes improving or evaluating the model's understanding and reasoning abilities in practical application scenarios, rather than just implementing predefined function functionalities.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Code Generation | TACO-BAAI | GPT-4 easy pass@1 31.50% | TACO: Topics in Algorithmic COde generation dataset | flagopen/taco | 3 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| TACO: Topics in Algorithmic COde generation dataset | 1 | 3 | 22 Dec 2023 | ran 1 of 2 samples (1 unverified) |
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Apache-2.0 license
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- TACO-BAAI
1 variant name, as the archive lists them.
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