Text Classification
Transformers
Safetensors
English
roberta
ai-text-detection
voight-kampff
pan-2025
text-embeddings-inference
Instructions to use protagonist/roberta-eloquent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use protagonist/roberta-eloquent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="protagonist/roberta-eloquent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("protagonist/roberta-eloquent") model = AutoModelForSequenceClassification.from_pretrained("protagonist/roberta-eloquent") - Notebooks
- Google Colab
- Kaggle
eloquent26: 5x5x66 generation corpus + scores
Browse files- data/README.md +21 -0
- data/generations.tar.gz +3 -0
- data/scores.parquet +3 -0
data/README.md
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# eloquent26 generations
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5 generators × 5 strategies × 66 topics = 1,650+ generations from the
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ELOQUENT 2026 Voight-Kampff factor-isolation experiment.
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## Files
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- `generations.tar.gz` — full `out/` tree:
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- `{generator}/{strategy}/{topic_id}.txt` — the texts
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- `_references/{set}/*.txt` — human controls
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- `scores/{detector}/{generator}/{strategy}/{topic_id}.json` — per-text scores
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- `manifest.jsonl`, `analysis/*.csv`
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- `scores.parquet` — 9.6k-row aggregated detector scores (for quick inspection)
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## Strategies
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`vanilla`, `imperfection`, `roundtrip`, `roundtrip_imperf`, `lost_in_translation`.
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Round-trip language: Hindi (closed frontier), Chinese (Qwen family).
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## License
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For research use. Contact the author for any commercial use.
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Repo: `protagonist/roberta-eloquent`.
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data/generations.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:6128a680a1c3df067b645db9148bff01456ad99aacf480d720e143a09b031241
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size 3757315
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data/scores.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:7be8932f8111fc1d1e88fd2ac5bbb41a0a9b2f326cc706adbe09dc415dcaac00
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size 233290
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