JQL-AI/hplt2_edu_scores
HPLT2-Edu-scores Dataset summary HPLT2-JQL-Education is a model-annotated language subset of HPLT2, spanning 35 languages. Our model-annotations allow for a filtering that achieves higher-quality training outcomes without excessively aggressive data reduction. The original FW2 heuristic filtering method serves as our baseline, providing reference points for both the volume of retained tokens and downstream model performance. For example, in the Spanish language… See the full description on the dataset page: https://huggingface.co/datasets/JQL-AI/hplt2_edu_scores.
| Author / organization | JQL-AI |
|---|---|
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 29 July 2025 |
| Last updated at source | 11 August 2025 |
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- 16 Oct 2026 Description: HPLT2-Edu-scores Dataset summary HPLT2-JQL-Education is a model-annotated language subset of HPLT2, spanning 35 languages. Our model-annotations allow for a filtering that achieves higher-quality training outcomes without excessively aggres → HPLT2-Edu-scores Dataset summary HPLT2-JQL-Education is a model-annotated language subset of HPLT2, spanning 35 languages. Our model-annotations allow for a filtering that achieves higher-quality training outcomes without excessively aggres
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