Datasets:
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- README.md +9 -0
- ccs_synthetic_filtered_large_2273005_raw.json +3 -0
.gitattributes
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@@ -70,3 +70,4 @@ vqa/vqav2_vqa_mt.json filter=lfs diff=lfs merge=lfs -text
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vqa/vqav2_vqg_mt.json filter=lfs diff=lfs merge=lfs -text
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xgqa/xgqa_input_train.json filter=lfs diff=lfs merge=lfs -text
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xvnli/xvnli_input_train.json filter=lfs diff=lfs merge=lfs -text
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vqa/vqav2_vqg_mt.json filter=lfs diff=lfs merge=lfs -text
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xgqa/xgqa_input_train.json filter=lfs diff=lfs merge=lfs -text
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xvnli/xvnli_input_train.json filter=lfs diff=lfs merge=lfs -text
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ccs_synthetic_filtered_large_2273005_raw.json filter=lfs diff=lfs merge=lfs -text
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README.md
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Languages are translated proportional to their size in [mC4](https://www.tensorflow.org/datasets/catalog/c4#c4multilingual), i.e., as 6% of examples in mC4 are German, we translate 6% of the data to German.
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**Dataset structure:**
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- `task_mix_mt.json`: The instruction mix data in the processed, translated, and combined form.
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- Folders: The folders contain 1) the separate tasks used to generate the mix
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and 2) the files of the tasks used to evaluate the model.
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**License:**
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Must comply with license of the original datasets used to create this mix. See https://github.com/gregor-ge/mBLIP/data/README.md for more.
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Languages are translated proportional to their size in [mC4](https://www.tensorflow.org/datasets/catalog/c4#c4multilingual), i.e., as 6% of examples in mC4 are German, we translate 6% of the data to German.
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**Dataset structure:**
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- `task_mix_mt.json`: The instruction mix data in the processed, translated, and combined form.
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- Folders: The folders contain 1) the separate tasks used to generate the mix
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and 2) the files of the tasks used to evaluate the model.
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**Images:**
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We do not include any images with this dataset.
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Images from the public datasets (MSCOCO for instruction training, and others for evaluation) can be downloaded
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from the respective websites.
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For the BLIP captions, we provide the URLs and filenames as used by us [here](blip_captions/ccs_synthetic_filtered_large_2273005_raw.json).
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To download them, [our code](https://github.com/gregor-ge/mBLIP/tree/main/data#blip-web-capfilt) can be adapted, for example.
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**License:**
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Must comply with license of the original datasets used to create this mix. See https://github.com/gregor-ge/mBLIP/data/README.md for more.
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ccs_synthetic_filtered_large_2273005_raw.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:23229e1e500ceb826fcd865f4b2138dda57203b444137dbe4a132c155a78e01a
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size 506886927
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