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--- |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: lang |
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dtype: string |
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- name: type |
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dtype: string |
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- name: id |
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dtype: string |
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splits: |
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- name: eval |
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num_bytes: 76408631 |
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num_examples: 10000 |
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download_size: 39911840 |
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dataset_size: 76408631 |
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configs: |
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- config_name: default |
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data_files: |
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- split: eval |
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path: data/eval-* |
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license: odc-by |
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language: |
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- fr |
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- en |
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- es |
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tags: |
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- Python |
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- Java |
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- JavaScript |
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- C/C++ |
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--- |
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# Dataset Card for `dataset-eval` |
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## Description |
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The `dataset-eval` dataset is a multilingual and multi-domain dataset designed for evaluating language model performance during training. It can be used for |
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performance tracking, generalization diagnostics across languages or domains, and for implementing early stopping mechanisms. |
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The examples included were automatically selected as **High quality** by the [`EuroBERT-210m-Quality`](https://huggingface.co/TempestTeam/EuroBERT-210m-Quality) model, |
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trained to estimate web text quality in multiple languages. |
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## Dataset Composition |
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- **Natural Languages**: |
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- English: 2,640 examples (from [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)) |
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- French: 2,720 examples (from [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)) |
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- Spanish: 2,640 examples (from [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)) |
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- **Programming Languages** (from [The-Stack-v2-dedup](https://huggingface.co/datasets/bigcode/the-stack-v2-dedup)): |
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- Python: 500 examples |
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- Java: 500 examples |
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- JavaScript: 500 examples |
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- C: 250 examples |
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- C++: 250 examples |
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- **Total**: 10,000 high-quality examples |
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## Data Structure |
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Each example includes the following fields: |
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- **`text`** (*string*): the textual content or source code. |
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- **`lang`** (*string*): the language of the content (e.g., `English`, `French`, `Spanish`, `Python`, `C++`, etc.). |
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- **`type`** (*string*): the type of content: |
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- `"NL"` for natural language |
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- `"CL"` for code language |
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- **`id`** (*string*): a unique identifier generated by hashing the `text` field. |
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## Use Cases |
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This dataset is intended for **periodic evaluation** during language model training: |
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- Tracking performance on high-quality data |
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- Evaluation per batch or epoch |
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- Validation metric computation for early stopping |
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- Performance comparison by language or domain |
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It is **not intended for direct training**, due to its limited size and its purpose as a filtered evaluation sample. |
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## Licenses |
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The dataset is built from sources under the following licenses: |
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| Source | License | |
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|:---------------------:|:----------------:| |
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| FineWeb | ODC-BY 1.0 | |
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| FineWeb-2 | ODC-BY 1.0 | |
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| The Stack v2 | Other | |
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| EuroBERT-210m-Quality | Apache-2.0 | |
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Users must ensure they comply with the specific license conditions when reusing or redistributing this data. |
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## Risks and Limitations |
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### Sensitive Data |
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The original sources are from the public web and were automatically cleaned. Despite filtering, some data may still contain sensitive, personal, or confidential information. |
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It is strongly recommended **not to use this dataset in production or user-facing systems without manual review**. |
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### Bias |
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- Quality annotations were produced by an automatic classifier and may reflect its training biases. |
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- The dataset covers only three natural languages and five programming languages. |
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- Cultural, thematic, or syntactic biases may be present depending on the source corpora. |
