likaixin/TACO-verified
Introduction This dataset contains verified solutions from the TACO dataset's training set. Solutions that fail to pass all the test cases are removed. Problems with no correct solution are also removed. The solutions were executed on Intel E5-2620 v3 CPUs with the execution timeout set to 10 seconds. Statistics in the training set Dataset # Problems # Solutions TACO 25443 1468722 TACO-verified 12898 1043251 Correct Ratio 50.69 % 71.03 %… See the full description on the dataset page: https://huggingface.co/datasets/likaixin/TACO-verified.
| Author / organization | likaixin |
|---|---|
| License (as declared) | mit |
| Downloads | 879 (as reported by Hugging Face) |
| Likes | 20 |
| Created | 17 November 2024 |
| Last updated at source | 17 April 2025 |
Popularity, last 3 days
879 now (+10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- bartowski/agentica-org_DeepCoder-1.5B-Preview-GGUFModel · used to train
- lmstudio-community/DeepCoder-14B-Preview-GGUFModel · used to train
- bartowski/agentica-org_DeepCoder-14B-Preview-GGUFModel · used to train
- Mungert/DeepCoder-1.5B-Preview-GGUFModel · used to train
- agentica-org/DeepCoder-14B-PreviewModel · used to train
- agentica-org/DeepCoder-1.5B-PreviewModel · used to train
- Mungert/DeepCoder-14B-Preview-GGUFModel · used to train
- mradermacher/DeepCoder-14B-Preview-GGUFModel · used to train
- mradermacher/Blitzar-Coder-4B-F.1-i1-GGUFModel · used to train
- mradermacher/Blitzar-Coder-4B-F.1-GGUFModel · used to train
- mradermacher/DeepCoder-1.5B-Preview-GGUFModel · used to train
More from likaixin
- likaixin/ScreenSpot-ProDataset
- likaixin/InstructCoderDataset
- likaixin/IconStack-48M-Rendered-TrainDataset
- likaixin/ScreenSpot-v2-variantsDataset
- likaixin/MMCodeDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.