datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wiki_comparable_corpus_en_de_hi_it_ko_zh
Multilingual Wikipedia Comparable Corpus (en, de, it, ko, hi, zh)
This dataset is a document-level comparable corpus of Wikipedia articles across 6 languages: English (en), German (de), Italian (it), Korean (ko), Hindi (hi), and Chinese (zh).
The key property is alignment across languages: entries are topic-matched such that, for a given index i, dataset["en"][i] is comparable to dataset["de"][i], dataset["it"][i], … (and likewise via the aligned_id field).
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/impresso-project/wiki_comparable_corpus_en_de_hi_it_ko_zh.Hindi_comparablecomparable_arabizi
Dataset Card for comparable_arabizi
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
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Data Fields
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Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source… See the full description on the dataset page: https://huggingface.co/datasets/arbml/comparable_arabizi.Comparable_Wikipediaood-vqa-mscoco-paper-comparable
Paper-comparable VQA OOD pool
400 unique MSCOCO / VQAv2 pairs (eval draw 250, seed 20260730).
Paper-comparable reconstruction — not the unreleased Gulati & Raval 250 IDs.
Built 2026-08-17.