---
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)