Datasets:
License:
| license: other | |
| language: | |
| - en | |
| - multilingual | |
| pretty_name: mBLIP instructions | |
| # mBLIP Instruct Mix Dataset Card | |
| ## Important! | |
| This dataset currently does not work directly with `datasets.load_dataset(Gregor/mblip-train)`! | |
| Please download the data files you need and load them with `datasets.load_dataset("json", data_files="filename")`. | |
| ## Dataset details | |
| **Dataset type:** | |
| This is the instruction mix used to train [mBLIP](https://github.com/gregor-ge/mBLIP). | |
| See https://github.com/gregor-ge/mBLIP/data/README.md for more information on how to reproduce the data. | |
| **Dataset date:** | |
| The dataset was created in May 2023. | |
| **Dataset languages:** | |
| The original English examples were machine translated to the following 95 languages: | |
| ` | |
| af, am, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fil, fr, ga, gd, gl, gu, ha, hi, ht, hu, hy, id, ig, is, it, iw, ja, jv, ka, kk, km, kn, ko, ku, ky, lb, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, no, ny, pa, pl, ps, pt, ro, ru, sd, si, sk, sl, sm, sn, so, sq, sr, st, su, sv, sw, ta, te, tg, th, tr, uk, ur, uz, vi, xh, yi, yo, zh, zu | |
| ` | |
| 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. | |
| **Dataset structure:** | |
| - `task_mix_mt.json`: The instruction mix data in the processed, translated, and combined form. | |
| - Folders: The folders contain 1) the separate tasks used to generate the mix | |
| and 2) the files of the tasks used to evaluate the model. | |
| **Images:** | |
| We do not include any images with this dataset. | |
| Images from the public datasets (MSCOCO for instruction training, and others for evaluation) can be downloaded | |
| from the respective websites. | |
| For the BLIP captions, we provide the URLs and filenames as used by us [here](blip_captions/ccs_synthetic_filtered_large_2273005_raw.json). | |
| To download them, [our code](https://github.com/gregor-ge/mBLIP/tree/main/data#blip-web-capfilt) can be adapted, for example. | |
| **License:** | |
| 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. | |
| Translations were produced with [NLLB](https://huggingface.co/facebook/nllb-200-distilled-1.3B) so use has to comply with | |
| their license. | |
| **Where to send questions or comments about the model:** | |
| https://github.com/gregor-ge/mBLIP/issues | |
| ## Intended use | |
| **Primary intended uses:** | |
| The primary is research on large multilingual multimodal models and chatbots. | |
| **Primary intended users:** | |
| The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |