arxiv:2108.00573 arxiv:1606.05250 arxiv:1910.07475 arxiv:1706.04115 region:us
[MuSiQue](https://arxiv.org/pdf/2108.00573.pdf)
@article{trivedi2021musique,
  title={{M}u{S}i{Q}ue: Multihop Questions via Single-hop Question Composition},
  author={Trivedi, Harsh and Balasubramanian, Niranjan and Khot, Tushar and Sabharwal, Ashish},
  journal={Transactions of the Association for Computational Linguistics},
  year={2022}
  publisher={MIT Press}
}
---
dataset_info:
- config_name: answerable
  features:
  - name: id
    dtype: string
  - name: paragraphs
    sequence:
    - name: idx
      dtype: int32
    - name: title
      dtype: string
    - name: paragraph_text
      dtype: string
    - name: is_supporting
      dtype: bool
  - name: question
    dtype: string
  - name: question_decomposition
    sequence:
    - name: id
      dtype: int32
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: paragraph_support_idx
      dtype: int32
  - name: answer
    dtype: string
  - name: answerable
    dtype: bool
  splits:
  - name: train
    num_bytes: 211123672
    num_examples: 19938
  - name: validation
    num_bytes: 26760847
    num_examples: 2417
  download_size: 299853055
  dataset_size: 237884519
- config_name: full
  features:
  - name: id
    dtype: string
  - name: paragraphs
    sequence:
    - name: idx
      dtype: int32
    - name: title
      dtype: string
    - name: paragraph_text
      dtype: string
    - name: is_supporting
      dtype: bool
  - name: question
    dtype: string
  - name: question_decomposition
    sequence:
    - name: id
      dtype: int32
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: paragraph_support_idx
      dtype: int32
  - name: answer
    dtype: string
  - name: answerable
    dtype: bool
  splits:
  - name: train
    num_bytes: 416868901
    num_examples: 39876
  - name: validation
    num_bytes: 52065789
    num_examples: 4834
  download_size: 591677838
  dataset_size: 468934690
---

Paper: [MuSiQue: Multi-hop Questions via Single-hop Question Composition](https://arxiv.org/pdf/2108.00573.pdf)

Original repository: https://github.com/StonyBrookNLP/musique 

# Data

MuSiQue is distributed under a [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/).

**Usage Caution:** If you're using any of our seed single-hop datasets ([SQuAD](https://arxiv.org/abs/1606.05250), [T-REx](https://hadyelsahar.github.io/t-rex/paper.pdf), [Natural Questions](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/1f7b46b5378d757553d3e92ead36bda2e4254244.pdf), [MLQA](https://arxiv.org/pdf/1910.07475.pdf), [Zero Shot RE](https://arxiv.org/pdf/1706.04115.pdf)) in any way (e.g., pretraining on them), please note that MuSiQue was created by composing questions from these seed datasets. Therefore, single-hop questions used in MuSiQue's dev/test sets may occur in the training sets of these seed datasets. To help avoid information leakage, we are releasing the IDs of single-hop questions that are used in MuSiQue dev/test sets. Once you download the data below, these IDs and corresponding questions will be in `data/dev_test_singlehop_questions_v1.0.json`. If you use our seed single-hop datasets in any way in your model, please be sure to **avoid using any single-hop question IDs present in this file**

# Citation

If you use this in your work, please cite use:

```
@article{trivedi2021musique,
  title={{M}u{S}i{Q}ue: Multihop Questions via Single-hop Question Composition},
  author={Trivedi, Harsh and Balasubramanian, Niranjan and Khot, Tushar and Sabharwal, Ashish},
  journal={Transactions of the Association for Computational Linguistics},
  year={2022}
  publisher={MIT Press}
}
```