surrey-nlp/Low-resource-QE-DA-dataset
Low-resource QE-DA Dataset Direct Assessment (DA) quality estimation data for English→Indic (Gujarati, Hindi, Marathi, Tamil, Telugu) and related Estonian/Nepali/Sinhala pairs, released with the ALOPE work on LLM-based QE. Paper: Sindhujan, A., Qian, S., Matthew, C.C.C., Orasan, C., and Kanojia, D. (2024). ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models. In Second Conference on Language Modeling. (arXiv) Task: Sentence-level… See the full description on the dataset page: https://huggingface.co/datasets/surrey-nlp/Low-resource-QE-DA-dataset.
| Author / organization | surrey-nlp |
|---|---|
| License (as declared) | cc |
| Downloads | 324 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 August 2025 |
| Last updated at source | 27 November 2025 |
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- 17 Oct 2026 Description: Low-resource QE-DA Dataset Direct Assessment (DA) quality estimation data for English→Indic (Gujarati, Hindi, Marathi, Tamil, Telugu) and related Estonian/Nepali/Sinhala pairs, released with the ALOPE work on LLM-based QE. Paper: Sindhujan, → Low-resource QE-DA Dataset Direct Assessment (DA) quality estimation data for English→Indic (Gujarati, Hindi, Marathi, Tamil, Telugu) and related Estonian/Nepali/Sinhala pairs, released with the ALOPE work on LLM-based QE. Paper: Sindhujan,
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