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README.md
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license: odc-by
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source_license: Same as FineWeb2 (see upstream dataset)
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size_categories:
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---
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# 📚 JQL Educational Quality Annotations from LLMs
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Includes both high-resource and low-resource languages. Input documents are in their native language, but models were prompted and responded in English.
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## Dataset Structure:
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| Name | Description |
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|------------------|-----------------------------------------------------|
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| edu_score | Dictionary with per-model aggregated scores (modelname_score), **-1 if a invalid score was generated** |
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| aggregation | Dictionary with per-model aggregated type (modelname_type), either majority or average |
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## Data Splits:
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This dataset is not pre-split. Users can generate custom splits by:
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- Language
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- Distillation and teacher-student LLM training
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- Creating filters for noisy web-scale data
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## Limitations:
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- LLM-generated scores, not human-authored
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- Some predictions may be invalid or inconsistent
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```
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##
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- Base Dataset: [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)
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- Related Work: [FineWeb2 LLM Judging Section](https://huggingface.co/papers/llm-quality-judging-fineweb2)
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license: odc-by
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source_license: Same as FineWeb2 (see upstream dataset)
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size_categories:
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- 10M<n<100M
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language:
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- bg
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- cs
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- hr
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- mk
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- pl
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- sl
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- sk
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- sr
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- uk
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- da
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- de
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- is
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- nl
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- nn
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- nb
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- sv
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- ca
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- es
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- fr
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- ga
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- gl
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- it
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- pt
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- ro
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- et
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- fi
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- hu
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- lt
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- lv
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- el
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- mt
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- tr
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- sq
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- eu
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- hy
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- en
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---
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# 📚 JQL Educational Quality Annotations from LLMs
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Includes both high-resource and low-resource languages. Input documents are in their native language, but models were prompted and responded in English.
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## 🧱 Dataset Structure:
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| Name | Description |
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|------------------|-----------------------------------------------------|
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| edu_score | Dictionary with per-model aggregated scores (modelname_score), **-1 if a invalid score was generated** |
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| aggregation | Dictionary with per-model aggregated type (modelname_type), either majority or average |
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## ✂️ Data Splits:
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This dataset is not pre-split. Users can generate custom splits by:
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- Language
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- Distillation and teacher-student LLM training
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- Creating filters for noisy web-scale data
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## ⚠️ Limitations:
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- LLM-generated scores, not human-authored
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- Some predictions may be invalid or inconsistent
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```
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## 🔗 Links:
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- Base Dataset: [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)
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- Related Work: [FineWeb2 LLM Judging Section](https://huggingface.co/papers/llm-quality-judging-fineweb2)
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