Tiiny/PowerCoding
This repository contains approximately 259 billion tokens of pretrain data generated using Qwen2.5-14B-Instruct, Qwen 2.5-32B-Instruct and Qwen 2.5-Coder-32B. The dataset utilizes a MGA-style methodology and a persona-driven data synthesis methodology to create diverse and comprehensive training data mainly from the Yulan, the Stack-V2 and the Pile datasets. The dataset is available under the Apache 2.0 license. Bias, Risks, and Limitations This dataset is mainly in English.… See the full description on the dataset page: https://huggingface.co/datasets/Tiiny/PowerCoding.
| Author / organization | Tiiny |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 399 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 23 July 2025 |
| Last updated at source | 27 July 2025 |
Popularity, last 2 days
399 now (+15 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: This repository contains approximately 259 billion tokens of pretrain data generated using Qwen2.5-14B-Instruct, Qwen 2.5-32B-Instruct and Qwen 2.5-Coder-32B. The dataset utilizes a MGA-style methodology and a persona-driven data synthesis → This repository contains approximately 259 billion tokens of pretrain data generated using Qwen2.5-14B-Instruct, Qwen 2.5-32B-Instruct and Qwen 2.5-Coder-32B. The dataset utilizes a MGA-style methodology and a persona-driven data synthesis
Changes detected by Silytics between refreshes of the source.
More from Tiiny
- Tiiny/QWQ-LONGCOT-500KDataset
- Tiiny/LONGCOT-Refine-500KDataset
- Tiiny/Speed-BenchDataset
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 Information may be incomplete or out of date.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.