BLOOM training dataset：Exploring BLOOM
Exploring BLOOM
bigsciencebloom
https://huggingface.co
BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational ...
BLOOM (language model)
https://en.wikipedia.org
It encompasses 46 natural languages (in amounts ranging from 30% of the whole dataset for English to 0.00002% for Chi Tumbuka) and 13 programming languages.
Bloom Library
https://aclanthology.org
We present Bloom Library, a linguistically diverse set of multimodal and multilingual datasets for language modeling, image captioning, visual storytelling, and ...
BLOOM: A 176B
https://sh-tsang.medium.com
1.2. ROOTS: Training Dataset · Left: A treemap plot of the language families of all 46 natural languages where surface is proportional to the ...
lju
https://github.com
We use the Kaggle Olympics Data Set for this example. Specifically, the dataset contains information from the Summer and Winter Olympics from 1896 to 2016.
sil
https://huggingface.co
This version of the Bloom Library data is developed specifically for the language modeling task. It includes data from 364 languages across 31 language ...
sil-aibloom
https://github.com
training scripts for the bloom-speech dataset. Contribute to sil-ai/bloom-speech-training development by creating an account on GitHub.
Step by Step Guide to Fine
https://docs.e2enetworks.com
The training dataset should be a collection of text examples that are relevant to the task. The following steps can be followed to fine-tune BLOOM: * Install ...