agentlans/train-of-thought
Train of Thought Dataset Overview This dataset readapts agentlans/think-more into the Alpaca-style instruction tuning format for training language models in direct answering and chain-of-thought reasoning. Dataset Structure Each original example was randomly assigned to be thinking on or off: Thinking off: Outputs only the final answer. Thinking on: Outputs a chain-of-thought (CoT) reasoning process wrapped in <think>...</think>, followed by the… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/train-of-thought.
| Author / organization | agentlans |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 6 |
| Created | 7 May 2025 |
| Last updated at source | 4 June 2025 |
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Connected in the knowledge graph
- mradermacher/Llama3.1-Nemo-Thinker-GGUFModel · used to train
- mradermacher/Llama3.1-Nemo-Thinker-i1-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: Train of Thought Dataset Overview This dataset readapts agentlans/think-more into the Alpaca-style instruction tuning format for training language models in direct answering and chain-of-thought reasoning. Dataset Structure Each original ex → Train of Thought Dataset Overview This dataset readapts agentlans/think-more into the Alpaca-style instruction tuning format for training language models in direct answering and chain-of-thought reasoning. Dataset Structure Each original ex
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