preTrainingNEAR / README.md
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---
language:
- en
license: apache-2.0
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 6855034
num_examples: 1022
- name: val
num_bytes: 850752
num_examples: 114
download_size: 3998284
dataset_size: 7705786
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
---
This dataset is a subset of the original nearData dataset, prepared for the continued pre-training of a pre-trained LLM.
The idea behind the continued pre-training of pre-trained models is to further instruct them with specific information, in this case on the Near Protocol blockchain, before fine-tuning them.
The preTrainingNEAR dataset was prepared from local text files using the datasets library from Hugging Face. It includes:
- nearBlog: 481 blog articles from Near Blog collected on March 13th, 2024.
- nearBosWebEngine: 13 docs files from the Near BOS Wen Engine collected on May 21st, 2024.
- nearDocs: 395 docs files from Near Docs collected on March 13th, 2024.
- nearNEPs: 124 docs files from the NEAR Enhancement Protocol collected on May 21st, 2024.
- nearNode: 40 docs files from the Near Node Docs collected on May 21st, 2024.
- nearPapers: 3 papers from the Near Papers collected on May 21st, 2024.
- nearWiki: 98 docs from the Near Wiki collected on May 21st, 2024.