DeltonLabs/TinySentences-HQ
TinySentences-HQ TinySentences-HQ is a curated dataset of elementary-level, self-contained English sentences designed specifically for training micro-parameter language models (~1M parameters). Derived from DeltonLabs/HQ-EN-Sentences, this dataset filters for sentences accessible at early grade school levels (Kindergarten through Grade 3 reading levels) while enforcing context independence. Filtering Methodology Readability Metrics: Flesch-Kincaid Grade Level… See the full description on the dataset page: https://huggingface.co/datasets/DeltonLabs/TinySentences-HQ.
| Author / organization | DeltonLabs |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 October 2026 |
| Last updated at source | 25 October 2026 |
Recent changes
- 25 Oct 2026 Description: none → TinySentences-HQ TinySentences-HQ is a curated dataset of elementary-level, self-contained English sentences designed specifically for training micro-parameter language models (~1M parameters). Derived from DeltonLabs/HQ-EN-Sentences, this
- 25 Oct 2026 Topics added readability, education, elementary, language-modeling
Changes detected by Silytics between refreshes of the source.
More from DeltonLabs
- DeltonLabs/DCLM-Filtered-HQDataset
- DeltonLabs/HQ-EN-SentencesDataset
- DeltonLabs/CoreWikiDataset
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