README.md

---
pretty_name: UD Genre Labels 2.18
license: apache-2.0
annotations_creators:
- machine-generated
language_creators:
- crowdsourced
multilinguality:
- multilingual
task_categories:
- text-classification
tags:
- universal-dependencies
- genre-classification
- sentence-classification
- multilingual
- linguistics
- derived-annotations
- text
- tabular
- datasets
size_categories:
- 1M<n<10M
---
# UD Genre Labels ud2.18-full-ud-v1

Derived sentence-level genre annotations for the [commul/universal_dependencies](https://huggingface.co/datasets/commul/universal_dependencies) Universal Dependencies dataset.
These labels are produced by the bootstrapping pipeline and are not authoritative gold annotations.

## Dataset Description
- Homepage: https://github.com/bot-zen/ud-genre-bootstrap
- Repository: https://github.com/bot-zen/ud-genre-bootstrap
- Source dataset: [hf://commul/universal_dependencies](https://huggingface.co/datasets/commul/universal_dependencies)
- Paper: https://universaldependencies.org/udw26/papers/41_Paper.pdf
- Point of Contact: appliedlinguisticsdevs@eurac.edu

## Dataset Summary
This dataset provides a sentence-level genre layer aligned to the [commul/universal_dependencies](https://huggingface.co/datasets/commul/universal_dependencies) Parquet release.
Each row contains one derived genre label for one UD sentence and can be joined back to the UD source data by `(treebank, split, sent_id)`.

The export is a derived annotation layer, not a replacement for the UD treebanks and not a hand-validated gold genre dataset.

## Loading
```python
from datasets import load_dataset

genres = load_dataset(
    "commul/ud_genre",
    revision="2.18",
    split="train",
)
```

The `train` split is the single exported split containing all sentence-level genre labels for this artifact.

For immutable provenance, load the artifact tag:

```python
genres = load_dataset(
    "commul/ud_genre",
    revision="artifact/ud2.18-full-ud-v1",
    split="train",
)
```

## Joining With Universal Dependencies
```python
from datasets import load_dataset

genres = load_dataset(
    "commul/ud_genre",
    revision="2.18",
    split="train",
)

ud = load_dataset(
    "commul/universal_dependencies",
    "en_ewt",
    revision="2.18",
    split="train",
)

genre_by_key = {
    (row["treebank"], row["split"], row["sent_id"]): row["genre"]
    for row in genres
    if row["treebank"] == "en_ewt" and row["split"] == "train"
}

first = ud[0]
genre = genre_by_key.get(("en_ewt", "train", first["sent_id"]))
```

## Release Identity
- Artifact ID: `ud2.18-full-ud-v1`
- HF branches: `2.18`
- HF tag: `artifact/ud2.18-full-ud-v1`
- HF default branch: `main`
- HF repo: `commul/ud_genre`
- UD version: `2.18`
- Scope: `full`
- Label schema: `ud`
- Artifact version: `v1`
- Source repo: `https://github.com/bot-zen/ud-genre-bootstrap`
- Source commit: `085d1fd624b44895e15ccd44b48bbc3a7422b7b2`
- Source branch: `release/v1`
- Source tag: `source/ud2.18-full-ud-v1`
- Config SHA-256: `37c07418cba6e925de19f54dc21935be9ad85176c08e4747b23f8920f9a7e6ea`

## Release Configuration
- Config: `2.18-community-release`
- Run ID: `ud-v2.18-community-release-v1`
- UD source: `hf://commul/universal_dependencies`
- UD source revision: `2.18`
- Embeddings: `intfloat/multilingual-e5-large` / `mean`
- Clustering: `gmm`
- Reference weighting: `sentence_count`

## Output Columns
- `treebank`, `split`, `sent_id`: primary join key back to UD
- `genre`: derived sentence label
- `confidence`: top-1 similarity score for the assigned cluster label
- `method`: `single-genre-treebank`, `virtual-split`, `bootstrap-labeled`, or `bootstrap-inferred`
- `ud_version`, `model`, `pooling`, `clustering_method`, `config_name`, `run_id`: compact row-level provenance

## Evaluation Framing
- `paper_parity` is used only for comparison with the original GMM+L paper protocol.
- End-user quality is tracked with sentence-level generalization metrics, which are stricter and more directly relevant for downstream annotation use.
- Known limitation: some paper-era treebank genre inventories are not fully recoverable from current sentence-level metadata subsets.

## Release Summary
- Total sentences: `2221815`
- Labeled sentences: `2221815`
- Genres exported: `19`
- Methods exported: `bootstrap-inferred, single-genre-treebank, virtual-split`

## Source Mapping Files
- `configs/genre_mappings.json` (sha256: `7efe08d31be2514cc3e7b712012b202442134305139ccfb255f6a4039cc79138`)
- `configs/metadata_patterns.json` (sha256: `13aff0b950c8ccb7a3af005cd3140283f02544480837d983133f66889c5f9e17`)
- `configs/pud-patterns.json` (sha256: `fe74e16a5136c37e04415eaaee69521d884f23e9ea6f2e76735b23086c5542ae`)

## Citation
Please cite the UD Workshop paper associated with this dataset: https://universaldependencies.org/udw26/papers/41_Paper.pdf

## Contact
Point of Contact: appliedlinguisticsdevs@eurac.edu