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+ ---
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+ title: Romansh–German Parallel Dataset (FineWeb-based)
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+ colorFrom: gray
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+ colorTo: red
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+ sdk: static
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+ ---
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+
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+ # Romansh–German Parallel Dataset (FineWeb-Based)
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+
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+ This dataset contains automatically aligned Romansh–German document pairs, extracted from the [Fineweb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) using cosine similarity over OpenAI embeddings. It was created as part of a university programming project focused on document-level parallel data extraction.
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+
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+ ## Contents
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+
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+ The dataset consists of several alignment outputs based on different cosine similarity thresholds and sentence-length penalties:
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+
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+ threshold_matches/
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+ ├── matched_{THRESHOL*100}_{ALPHA*100}.jsonl
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+
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+ ├── matched_60_5.0.jsonl
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+
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+ ...
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+
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+
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+ Each file contains one JSON line per aligned document.
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+
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+ ## Format
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+
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+ Each `.jsonl` file contains entries with the following fields:
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+
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+ ```json
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+ {
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+ "romansh_text": "Romansh document text",
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+ "german_text": "Most similar German document text or null",
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+ "similarity": 0.6123, // Score after optional length penalty
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+ "original_similarity": 0.6085 // Raw cosine similarity
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+ }
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+ ```
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+
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+ ## Methodology
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+
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+ 1. Documents were embedded using [OpenAI](https://platform.openai.com/docs/models/text-embedding-3-small) `text-embedding-3-small`.
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+ 2. Cosine similarity was computed between Romansh and German documents.
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+ 3. A length penalty was applied:
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+ `penalized_score = cosine_similarity - alpha × |len_diff|`
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+ 4. For each Romansh document, the best-scoring German document was selected.
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+ 5. Only matches above a given threshold were retained.
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+
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+ **Thresholds tested:** `0.5 – 0.8`
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+ **Final dataset:** `matched_0.600.jsonl` (best match)
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+
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+
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+ ## Evaluation
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+
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+ A negative gold standard was used to ensure quality: a set of Romansh documents known to have no valid German alignment. These were checked for false positives.
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+ Unit tests confirmed:
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+ No false matches for known non-aligned documents
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+ Low similarity scores for false-alignment candidates
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+
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+ ## File Organization
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+
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+ | File | Description |
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+ | --------------------- | ---------------------------------- |
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+ | `parallel_data/` | All alignment outputs by threshold |
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+ | `matched_0.600.jsonl` | Main result (highest quality) |
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+ | `README.md` | You are here |