language:en license:apache-2.0 size_categories:10M<n<100M format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
language:
- en
license: apache-2.0
configs:
- config_name: data_records
  data_files:
  - split: train
    path:
    - data.parquet
  - split: dev
    path:
    - data.parquet
  - split: test
    path:
    - data.parquet
- config_name: qs
  data_files:
  - split: train
    path:
    - train/qs.parquet
  - split: dev
    path:
    - dev/qs.parquet
  - split: test
    path:
    - test/qs.parquet
- config_name: qs_rel
  data_files:
  - split: train
    path:
    - train/qs_rel.parquet
  - split: dev
    path:
    - dev/qs_rel.parquet
  - split: test
    path:
    - test/qs_rel.parquet
---

The dataset contains a random 0.7/0.1/0.2 train/dev/test splits of triviaqa dataset from KILT https://github.com/facebookresearch/KILT for benchmarking embedding model fine-tuning.
