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neulab/PangeaBench-xm100

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Hugging Face2024-11-03 更新2025-04-12 收录
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资源简介:
--- language: - ar - bn - cs - da - de - el - en - es - fa - fi - fil - fr - hi - hr - hu - id - it - he - ja - ko - mi - nl - 'no' - pl - pt - quz - ro - ru - sv - sw - te - th - tr - uk - vi - zh license: cc-by-4.0 size_categories: - 1K<n<10K task_categories: - image-to-text pretty_name: xm100 dataset_info: features: - name: image_id dtype: string - name: image_locale dtype: string - name: caption dtype: string - name: image dtype: image splits: - name: ar num_examples: 100 - name: bn num_examples: 100 - name: cs num_examples: 100 - name: da num_examples: 100 - name: de num_examples: 100 - name: el num_examples: 100 - name: en num_examples: 100 - name: es num_examples: 100 - name: fa num_examples: 100 - name: fi num_examples: 100 - name: fil num_examples: 100 - name: fr num_examples: 100 - name: hi num_examples: 100 - name: hr num_examples: 100 - name: hu num_examples: 100 - name: id num_examples: 100 - name: it num_examples: 100 - name: he num_examples: 100 - name: ja num_examples: 100 - name: ko num_examples: 100 - name: mi num_examples: 100 - name: nl num_examples: 100 - name: 'no' num_examples: 100 - name: pl num_examples: 100 - name: pt num_examples: 100 - name: quz num_examples: 100 - name: ro num_examples: 100 - name: ru num_examples: 100 - name: sv num_examples: 100 - name: sw num_examples: 100 - name: te num_examples: 100 - name: th num_examples: 100 - name: tr num_examples: 100 - name: uk num_examples: 100 - name: vi num_examples: 100 - name: zh num_examples: 100 configs: - config_name: default data_files: - split: ar path: data/ar-* - split: bn path: data/bn-* - split: cs path: data/cs-* - split: da path: data/da-* - split: de path: data/de-* - split: el path: data/el-* - split: en path: data/en-* - split: es path: data/es-* - split: fa path: data/fa-* - split: fi path: data/fi-* - split: fil path: data/fil-* - split: fr path: data/fr-* - split: hi path: data/hi-* - split: hr path: data/hr-* - split: hu path: data/hu-* - split: id path: data/id-* - split: it path: data/it-* - split: he path: data/he-* - split: ja path: data/ja-* - split: ko path: data/ko-* - split: mi path: data/mi-* - split: nl path: data/nl-* - split: 'no' path: data/no-* - split: pl path: data/pl-* - split: pt path: data/pt-* - split: quz path: data/quz-* - split: ro path: data/ro-* - split: ru path: data/ru-* - split: sv path: data/sv-* - split: sw path: data/sw-* - split: te path: data/te-* - split: th path: data/th-* - split: tr path: data/tr-* - split: uk path: data/uk-* - split: vi path: data/vi-* - split: zh path: data/zh-* --- # XM100 ### This is a copy from https://google.github.io/crossmodal-3600/ If you use this dataset, please cite the original authors: ```bibtex @inproceedings{ThapliyalCrossmodal2022, author = {Ashish Thapliyal and Jordi Pont-Tuset and Xi Chen and Radu Soricut}, title = {{Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset}}, booktitle = {EMNLP}, year = {2022} } ```
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