| --- |
| pretty_name: Proxy-MT Translations |
| license: other |
| task_categories: |
| - translation |
| language: |
| - af |
| - am |
| - ar |
| - bm |
| - bn |
| - bg |
| - ca |
| - ceb |
| - cs |
| - cy |
| - da |
| - de |
| - el |
| - et |
| - eu |
| - ee |
| - fi |
| - fr |
| - gu |
| - ha |
| - he |
| - hi |
| - hr |
| - hu |
| - hy |
| - ig |
| - id |
| - is |
| - it |
| - ja |
| - jv |
| - kn |
| - ka |
| - kk |
| - km |
| - rw |
| - ky |
| - ko |
| - lo |
| - ln |
| - lg |
| - luo |
| - lv |
| - ml |
| - mr |
| - mk |
| - mt |
| - mi |
| - my |
| - nl |
| - "no" |
| - ny |
| - or |
| - pa |
| - fa |
| - pl |
| - pt |
| - ro |
| - ru |
| - sn |
| - si |
| - sk |
| - sl |
| - sd |
| - so |
| - st |
| - es |
| - sr |
| - ss |
| - su |
| - sv |
| - sw |
| - ta |
| - te |
| - tg |
| - tl |
| - th |
| - ti |
| - tn |
| - ts |
| - tr |
| - tw |
| - uk |
| - ur |
| - uz |
| - vi |
| - war |
| - wo |
| - xh |
| - yo |
| - zh |
| - zu |
| tags: |
| - machine-translation |
| - african-languages |
| - flores-200 |
| - ntrex |
| - wmt24 |
| - low-resource |
| size_categories: |
| - 10M<n<100M |
| extra_gated_prompt: >- |
| You agree to use these model-generated translations for research purposes and |
| to cite the source. Access is granted on request and reviewed manually. |
| extra_gated_fields: |
| Name: text |
| Affiliation: text |
| Intended use: text |
| I agree to use this dataset for non-commercial research only: checkbox |
| --- |
| |
| # Proxy-MT Translations |
|
|
| English→X machine translations generated with [vLLM](https://github.com/vllm-project/vllm) |
| across **49 open-weight LLMs** on three evaluation benchmarks. This dataset holds the |
| **raw model outputs** (one CSV per model × dataset × target language); metric scores |
| (BLEU / chrF / COMET / MetricX) are computed separately. |
|
|
| ## Layout |
|
|
| ``` |
| flores-200/<model>/eng-<lang>.csv # 119 target languages |
| ntrex/<model>/eng-<lang>.csv # 87 target languages |
| wmt24/<model>/eng-<lang>.csv # 51 target languages |
| ``` |
|
|
| Each CSV has three columns: |
|
|
| | column | description | |
| |--------|-------------| |
| | `source` | English source sentence | |
| | `target` | reference translation from the benchmark | |
| | `translation` | model-generated translation | |
|
|
| ## Source benchmarks |
|
|
| - **FLORES-200** (`facebook/flores`, `devtest` split) |
| - **NTREX** (`mteb/NTREX`, `test` split) |
| - **WMT24++** (`google/wmt24pp`, `train` split) |
|
|
| ## Models (49) |
|
|
| aya-expanse-8b, aya-expanse-32b, tiny-aya-base, c4ai-command-r-08-2024, |
| DeepSeek-R1-0528-Qwen3-8B, DeepSeek-R1-Distill-Llama-8B, DeepSeek-R1-Distill-Qwen-1.5B, |
| DeepSeek-R1-Distill-Qwen-7B, DeepSeek-R1-Distill-Qwen-14B, DeepSeek-R1-Distill-Qwen-32B, |
| Falcon3-3B-Instruct, Falcon3-7B-Instruct, Falcon3-10B-Instruct, gemma-3-1b-it, |
| gemma-3-4b-it, gemma-3-12b-it, gemma-3-27b-it, gemma-4-E2B-it, gemma-4-E4B-it, |
| gemma-4-26B-A4B-it, gemma-4-31B-it, glm-4-9b-chat, granite-4.1-3b, granite-4.1-8b, |
| granite-4.1-30b, internlm2_5-7b-chat, internlm2_5-20b-chat, Llama-3.1-8B-Instruct, |
| Llama-3.2-1B-Instruct, Llama-3.2-3B-Instruct, Ministral-3-3B-Instruct-2512, |
| Ministral-3-8B-Instruct-2512, Ministral-3-14B-Instruct-2512, Mistral-7B-Instruct-v0.3, |
| Mistral-Nemo-Instruct-2407, Mixtral-8x7B-Instruct-v0.1, Olmo-3-7B-Instruct, |
| Olmo-3-1125-32B, Olmo-3.1-32B-Instruct, phi-4, Qwen3-1.7B, Qwen3-4B, Qwen3-8B, |
| Qwen3-14B, Qwen3-30B-A3B, Qwen3.6-27B, Qwen3.6-35B-A3B, Yi-1.5-9B-Chat, Yi-1.5-34B-Chat. |
|
|
| ## Access |
|
|
| This is a **gated** dataset — access is reviewed and approved manually. Fill in the |
| request form to be granted access. |
|
|
| > Note: set the `license` field above to the license you intend to release under. |
|
|
