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configs:
- config_name: fineweb
kind: doc
data_files:
- split: train
path: fineweb/*
- config_name: cc-news
kind: doc
data_files:
- split: train
path: cc-news/*
- config_name: vocabulary
kind: doc
data_files:
- split: train
path: vocabulary/*
- config_name: bert-tokens
kind: doc
data_files:
- split: train
path: bert-tokens/*
- config_name: amazon-qa
kind: query
data_files:
- split: train
path: amazon-qa/*
- config_name: msmarco
kind: query
data_files:
- split: train
path: msmarco/*
- config_name: pubmedqa
kind: query
data_files:
- split: train
path: pubmedqa/*
- config_name: trivia-qa
kind: query
data_files:
- split: train
path: trivia-qa/*
- config_name: lotte
kind: query
data_files:
- split: train
path: lotte/*
---
# distil-data
A reproduction of the (unsupervised) text data used to train
[MongoDB/mdbr-leaf-ir](https://huggingface.co/MongoDB/mdbr-leaf-ir)
## Completed
- [MongoDB/english-words-definitions](https://huggingface.co/datasets/MongoDB/english-words-definitions)
- [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
- [embedding-data/Amazon-QA](https://huggingface.co/datasets/embedding-data/Amazon-QA)
- [nlpconnect/ms_marco_subset_v2.1](https://huggingface.co/datasets/nlpconnect/ms_marco_subset_v2.1)
- [qiaojin/PubMedQA](https://huggingface.co/datasets/qiaojin/PubMedQA)
- [sentence-transformers/trivia-qa](https://huggingface.co/datasets/sentence-transformers/trivia-qa)
- [colbertv2/lotte](https://huggingface.co/datasets/colbertv2/lotte)
- [stanford-oval/ccnews](https://huggingface.co/datasets/stanford-oval/ccnews)
- [HuggingFaceFW/fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)
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