Vezora/Tested-22k-Python-Alpaca
Contributors: Nicolas Mejia Petit Vezora's CodeTester Dataset Introduction Today, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and verified as working. Our dataset was created using a script we developed. Dataset Creation Our script operates by extracting Python code from the output section of Alpaca-formatted datasets. It tests each extracted… See the full description on the dataset page: https://huggingface.co/datasets/Vezora/Tested-22k-Python-Alpaca.
| Author / organization | Vezora |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.1K (as reported by Hugging Face) |
| Likes | 68 |
| Created | 3 November 2023 |
| Last updated at source | 26 December 2023 |
Connected in the knowledge graph
- mradermacher/bagel-7b-v0.4-i1-GGUFModel · used to train
- MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.1-GGUFModel · used to train
- bartowski/airoboros-34b-3.2-GGUFModel · used to train
- mradermacher/airoboros-34b-3.3-i1-GGUFModel · used to train
- mradermacher/airoboros-dpo-110b-3.3-i1-GGUFModel · used to train
- tensorblock/NeuralExperiment-7b-MagicCoder-v7.5-GGUFModel · used to train
- mradermacher/Gemma3-Python-22k-1B-i1-GGUFModel · used to train
- mradermacher/bagel-dpo-20b-v04-GGUFModel · used to train
- mradermacher/bagel-dpo-7b-v0.4-i1-GGUFModel · used to train
- mradermacher/bagel-dpo-20b-v04-i1-GGUFModel · used to train
- mradermacher/nontoxic-bagel-34b-v0.2-i1-GGUFModel · used to train
- mradermacher/bagel-dpo-34b-v0.2-GGUFModel · used to train
- mradermacher/danube2-upscale-1.7-i1-GGUFModel · used to train
- mradermacher/bagel-dpo-8x7b-v0.2-GGUFModel · used to train
- mradermacher/airoboros-34b-3.2-i1-GGUFModel · used to train
- mradermacher/NeuralExperiment-7b-MagicCoder-v5-i1-GGUFModel · used to train
- tensorblock/bagel-dpo-7b-v0.1-GGUFModel · used to train
- mradermacher/bagel-34b-v0.5-i1-GGUFModel · used to train
- mradermacher/OpenCerebrum-1.0-7b-SFT-GGUFModel · used to train
- jondurbin/airoboros-70b-3.3Model · used to train
- mradermacher/NeuralExperiment-7b-MagicCoder-v7-i1-GGUFModel · used to train
- mradermacher/bagel-dpo-34b-v0.2-i1-GGUFModel · used to train
- jondurbin/bagel-8b-v1.0Model · used to train
- mradermacher/bagel-7b-v0.1-i1-GGUFModel · used to train
- jondurbin/bagel-dpo-34b-v0.5Model · used to train
- mradermacher/nontoxic-bagel-34b-v0.2-GGUFModel · used to train
- mradermacher/danube2-upscale-1.7-GGUFModel · used to train
- jondurbin/bagel-dpo-34b-v0.2Model · used to train
- mradermacher/bagel-7b-v0.4-GGUFModel · used to train
- mradermacher/NeuralExperiment-7b-MagicCoder-v6-i1-GGUFModel · used to train
- jondurbin/bagel-dpo-8x7b-v0.2Model · used to train
- mradermacher/bagel-8b-v1.0-i1-GGUFModel · used to train
- mradermacher/UNA-34Beagles-32K-bf16-v1-i1-GGUFModel · used to train
- jondurbin/airoboros-dpo-70b-3.3Model · used to train
- mradermacher/bagel-dpo-7b-v0.4-GGUFModel · used to train
- mradermacher/bagel-dpo-34b-v0.5-i1-GGUFModel · used to train
- mradermacher/airoboros-110b-3.3-i1-GGUFModel · used to train
- mradermacher/bagel-8x7b-v0.2-i1-GGUFModel · used to train
- MaziyarPanahi/bagel-7b-v0.1-Mistral-7B-Instruct-v0.1-GGUFModel · used to train
- mradermacher/bagel-8x7b-v0.2-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: Contributors: Nicolas Mejia Petit Vezora's CodeTester Dataset Introduction Today, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and veri → Contributors: Nicolas Mejia Petit Vezora's CodeTester Dataset Introduction Today, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and veri
Changes detected by Silytics between refreshes of the source.
More from Vezora
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.