TianHongZXY/CHIMERA
CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning CHIMERA is a compact but high-difficulty synthetic reasoning dataset with long Chain-of-Thought (CoT) trajectories and broad STEM coverage, designed for reasoning post-training. All examples are fully LLM-generated and automatically verified without human annotation. Total: 9,225 problems Subjects: 8 Topics: 1,179 🔥 Why CHIMERA? Recent reasoning advances rely heavily on… See the full description on the dataset page: https://huggingface.co/datasets/TianHongZXY/CHIMERA.
| Author / organization | TianHongZXY |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 226 (as reported by Hugging Face) |
| Likes | 24 |
| Created | 2 March 2026 |
| Last updated at source | 17 April 2026 |
Popularity, last 2 days
226 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/CHIMERA-4B-SFT-i1-GGUFModel · used to train
- mradermacher/CHIMERA-4B-RL-i1-GGUFModel · used to train
- mradermacher/CHIMERA-4B-SFT-GGUFModel · used to train
- mradermacher/CHIMERA-4B-RL-GGUFModel · used to train
- TianHongZXY/CHIMERA-4B-RLModel · used to train
- CHIMERA: Compact Synthetic Data for Generalizable LLM ReasoningPaper · cites
Recent changes
- 16 Oct 2026 Description: CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning CHIMERA is a compact but high-difficulty synthetic reasoning datasetwith long Chain-of-Thought (CoT) trajectories and broad STEM coverage, designed for reasoning post-training. → CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning CHIMERA is a compact but high-difficulty synthetic reasoning dataset with long Chain-of-Thought (CoT) trajectories and broad STEM coverage, designed for reasoning post-training
Changes detected by Silytics between refreshes of the source.
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