---
license: other
language:
- en
- multilingual
pretty_name: mBLIP instructions
---


# mBLIP Instruct Mix Dataset Card

## 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.


**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.