dsfasdfaserwer/Dataset
Python-only, execution-checked training examples New v3 configuration Use python_verified_v3_16k for the new TACO training-split pilot. Every new row contains a realistic synthetic instruction, a concise solution rationale, Python code, brief documentation, provenance, execution evidence, and an exact full-conversation token count. from datasets import load_dataset rows = load_dataset("dsfasdfaserwer/Dataset", "python_verified_v3_16k", split="train") # Train on… See the full description on the dataset page: https://huggingface.co/datasets/dsfasdfaserwer/Dataset.
| Author / organization | dsfasdfaserwer |
|---|---|
| License (as declared) | other |
| Downloads | 482 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 October 2026 |
| Last updated at source | 16 October 2026 |
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482 now (+174 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 License: none → other
- 16 Oct 2026 Description: none → Python-only, execution-checked training examples New v3 configuration Use python_verified_v3_16k for the new TACO training-split pilot. Every new row contains a realistic synthetic instruction, a concise solution rationale, Python code, bri
- 16 Oct 2026 Topics added task_categories:text-generation, python, code, execution-verified, synthetic-solution-rationales
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.