| --- |
| language: |
| - en |
| dataset_info: |
| - config_name: eli5 |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 25298207 |
| num_examples: 25000 |
| download_size: 15538771 |
| dataset_size: 25298207 |
| - config_name: fever |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 461884567 |
| num_examples: 71257 |
| download_size: 279121262 |
| dataset_size: 461884567 |
| - config_name: fiqa |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 74970232 |
| num_examples: 5500 |
| download_size: 43692330 |
| dataset_size: 74970232 |
| - config_name: hotpot_qa |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 466370386 |
| num_examples: 68657 |
| download_size: 286508306 |
| dataset_size: 466370386 |
| - config_name: msmarco_passage |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 1469115771 |
| num_examples: 400782 |
| download_size: 836954087 |
| dataset_size: 1469115771 |
| - config_name: nq |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 508591032 |
| num_examples: 76923 |
| download_size: 312556583 |
| dataset_size: 508591032 |
| - config_name: quora_duplicate |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 46431262 |
| num_examples: 60000 |
| download_size: 26717034 |
| dataset_size: 46431262 |
| - config_name: squad |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 1394419158 |
| num_examples: 74377 |
| download_size: 752527010 |
| dataset_size: 1394419158 |
| - config_name: synthetic |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| - name: instruction |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 450333569 |
| num_examples: 224791 |
| download_size: 260055908 |
| dataset_size: 450333569 |
| - config_name: triviaqa |
| features: |
| - name: query |
| dtype: string |
| - name: positive |
| sequence: string |
| - name: negative |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 375282874 |
| num_examples: 52738 |
| download_size: 231064553 |
| dataset_size: 375282874 |
| configs: |
| - config_name: eli5 |
| data_files: |
| - split: train |
| path: eli5/train-* |
| - config_name: fever |
| data_files: |
| - split: train |
| path: fever/train-* |
| - config_name: fiqa |
| data_files: |
| - split: train |
| path: fiqa/train-* |
| - config_name: hotpot_qa |
| data_files: |
| - split: train |
| path: hotpot_qa/train-* |
| - config_name: msmarco_passage |
| data_files: |
| - split: train |
| path: msmarco_passage/train-* |
| - config_name: nq |
| data_files: |
| - split: train |
| path: nq/train-* |
| - config_name: quora_duplicate |
| data_files: |
| - split: train |
| path: quora_duplicate/train-* |
| - config_name: squad |
| data_files: |
| - split: train |
| path: squad/train-* |
| - config_name: synthetic |
| data_files: |
| - split: train |
| path: synthetic/train-* |
| - config_name: triviaqa |
| data_files: |
| - split: train |
| path: triviaqa/train-* |
| --- |
| Training data for [e5-R-mistral-7b](https://huggingface.co/BeastyZ/e5-R-mistral-7b). Code is [here](https://github.com/LeeSureman/E5-Retrieval-Reproduction). |