datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Te
Superior-Reasoning-SFT-gpt-oss-120b
🚀 Overview
The Superior-Reasoning-SFT-gpt-oss-120b dataset is a high-quality, open-source collection containing 435K samples designed to democratize the training of high-performance Long Chain-of-Thought (Long-CoT) models. Unlike standard distilled datasets that rely on random sampling or heuristic filtering, Superior-Reasoning-SFT-gpt-oss-120b is constructed using a principled Distribution-Aligned Sequence Distillation… See the full description on the dataset page: https://huggingface.co/datasets/POISONX/Te.Poison-DPO
Poison-DPO
Preference pairs for de-biasing Hemlock code models away from Python/JS habits
("poison") and toward idiomatic Hemlock.
Each row is a minimal pair:
chosen — clean, idiomatic Hemlock that runs under the interpreter.
rejected — the same program with one Python/JS-ism injected, verified to
fail (parse/runtime error) or produce different output.
Because chosen and rejected differ by exactly one idiom, the preference signal
(DPO/ORPO odds-ratio) isolates the specific… See the full description on the dataset page: https://huggingface.co/datasets/hemlang/Poison-DPO.blog-key-points
Article Key Points Dataset
Dataset Description
This dataset contains articles and their corresponding key points extracted using AI. Each entry consists of the full article text and a concise bullet-point summary highlighting the most important information from the article.
Dataset Summary
The dataset is designed for training and evaluating models on extractive and abstractive summarization tasks. It provides pairs of full article content and human-readable key… See the full description on the dataset page: https://huggingface.co/datasets/ncls-p/blog-key-points.
