---
license: cc-by-sa-4.0
dataset_info:
- config_name: BEAR
  features:
  - name: composite_id
    dtype: string
  - name: relation
    dtype: string
  - name: item
    dtype: int64
  - name: template_index
    dtype: int64
  - name: template
    dtype: string
  - name: subject
    dtype: string
  - name: answer_options
    sequence: string
  - name: correct
    dtype: int64
  - name: text_options
    sequence: string
  splits:
  - name: test
    num_bytes: 46574625
    num_examples: 23193
  download_size: 6275852
  dataset_size: 46574625
- config_name: BEAR_big
  features:
  - name: composite_id
    dtype: string
  - name: relation
    dtype: string
  - name: item
    dtype: int64
  - name: template_index
    dtype: int64
  - name: template
    dtype: string
  - name: subject
    dtype: string
  - name: answer_options
    sequence: string
  - name: correct
    dtype: int64
  - name: text_options
    sequence: string
  splits:
  - name: test
    num_bytes: 622640960
    num_examples: 122748
  download_size: 77671769
  dataset_size: 622640960
configs:
- config_name: BEAR
  data_files:
  - split: test
    path: BEAR/test-*
  default: true
- config_name: BEAR_big
  data_files:
  - split: test
    path: BEAR_big/test-*
---

# BEAR Dataset


Dataset to evaluate common factual knowledge in language models. This dataset was created as part of the [paper "BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models"](https://aclanthology.org/2024.findings-naacl.155/).


For more information visit the [LM Pub Quiz website](https://lm-pub-quiz.github.io/).




## Dataset Structure

### Data Instances

For each instance, there is a template string, a subject to be filled in, and a list of object strings (one of which is correct), as well as a template used to create the specific multiple choice item.


### Data Fields

- `composite_id`: A unique string (each part of the dataset) identifying the item within the dataset. The string is made up from `relation`, `item`, and `template_index`.
- `relation`: An string identifiying the wikidata relation (between the subject and the answer options).
- `item`: The indext of the item within the relation.
- `template_index`: The index of the template used for this instance.
- `template`: The template used to create the `text_options`.
- `subject`: The subject of the relation.
- `answer_options`: Possible objects in the relation.
- `correct`: The index of the correct object (index of the answer in `answer_options` / correct statement in `text_options`).
- `text_options`: Alternative textual statements one of which is correct (identified by the index in `correct`).




## Citation

When using the dataset or library, please cite the following paper:

```
@inproceedings{wiland-etal-2024-bear,
    title = "{BEAR}: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models",
    author = "Wiland, Jacek  and
      Ploner, Max  and
      Akbik, Alan",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2024",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-naacl.155/",
    doi = "10.18653/v1/2024.findings-naacl.155",
    pages = "2393--2411"
}
```