region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: question
    dtype: string
  - name: label
    dtype: int64
  - name: passage
    dtype: string
  splits:
  - name: train
    num_bytes: 5903821
    num_examples: 9427
  - name: validation
    num_bytes: 2023933
    num_examples: 3270
  download_size: 4944865
  dataset_size: 7927754
---
# Dataset Card for "tars_boolq_int"
## Designed for fine-tuning llama-2 models that have uninitialized weights
#### This dataset is a replication of the original boolq (https://huggingface.co/datasets/boolq) dataset with the outcome variable (label) set to be an integer so that the model can automatically generate a loss value per batch.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)