Datasets:
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README.md
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- Java
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- JavaScript
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- C/C++
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- Java
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- JavaScript
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- C/C++
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# Dataset Card for `multilang-eval-quality`
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## Description
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The `multilang-eval-quality` 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)
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- French: 2,720 examples (from FineWeb-2)
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- Spanish: 2,640 examples (from FineWeb-2)
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- **Programming Languages** (from The Stack v2):
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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.
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