datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
African-Languages_Sentiments
African Languages Sentiment Dataset (Hausa, Yorùbá, Swahili)
A stitched multi-source sentiment classification dataset combining three
independently collected sentiment corpora for Hausa, Yorùbá, and Swahili,
built for the Adaption Labs AutoScientist Challenge
(Language category).
Companion model: fine-tuned weights trained on the adapted version of this dataset via
AutoScientist are released separately at… See the full description on the dataset page: https://huggingface.co/datasets/gospelgit/African-Languages_Sentiments.proxy-mt-translations
Proxy-MT Translations
English→X machine translations generated with vLLM
across 50 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) live in proxy-mt-eval-scores.
Layout
flores-200/<model>/eng-<lang>.csv # 119 target languages
ntrex/<model>/eng-<lang>.csv # 87 target languages
wmt24/<model>/eng-<lang>.csv # 51… See the full description on the dataset page: https://huggingface.co/datasets/African-Languages-Lab/proxy-mt-translations.proxy-mt-eval-scores
Proxy-MT Eval Scores
Corpus-level MT metrics for 50 open-weight LLMs on the translations in
proxy-mt-translations.
Computed by evaluate_mt.py (BLEU, chrF++, ROUGE-L, METEOR, XCOMET-XL, SSA-COMET).
MetricX is backfilled separately and may still be empty in this snapshot.
Layout
<model>/flores-200.csv
<model>/ntrex.csv
<model>/wmt24.csv
Each CSV has one row per eng-<lang> pair:
column
description
translation-pair
e.g. eng-yor
bleu
sacrebleu corpus BLEU… See the full description on the dataset page: https://huggingface.co/datasets/African-Languages-Lab/proxy-mt-eval-scores.