whynlp/gsm8k-aug-nl
GSM8K-AUG-NL This dataset is an augmented version of the GSM8K dataset. It extends the original GSM8K training set to 385k samples by prompting GPT-4. The dataset was originally proposed in paper "From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step". This specific version is used in the paper Parallel Continuous Chain-of-Thought with Jacobi Iteration. Code: https://github.com/whynlp/pccot Usage Load the dataset using the datasets library:… See the full description on the dataset page: https://huggingface.co/datasets/whynlp/gsm8k-aug-nl.
| Author / organization | whynlp |
|---|---|
| Downloads | 410 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 22 June 2025 |
| Last updated at source | 2 March 2026 |
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- 17 Oct 2026 Description: GSM8K-AUG-NL This dataset is an augmented version of the GSM8K dataset. It extends the original GSM8K training set to 385k samples by prompting GPT-4. The dataset was originally proposed in paper "From Explicit CoT to Implicit CoT: Learning → GSM8K-AUG-NL This dataset is an augmented version of the GSM8K dataset. It extends the original GSM8K training set to 385k samples by prompting GPT-4. The dataset was originally proposed in paper "From Explicit CoT to Implicit CoT: Learning
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