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--- |
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- split: test |
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path: spa.rst.sctb.rels/test-* |
|
- config_name: tha.pdtb.tdtb.rels |
|
data_files: |
|
- split: train |
|
path: tha.pdtb.tdtb.rels/train-* |
|
- split: validation |
|
path: tha.pdtb.tdtb.rels/validation-* |
|
- split: test |
|
path: tha.pdtb.tdtb.rels/test-* |
|
- config_name: zho.dep.scidtb.conllu |
|
data_files: |
|
- split: train |
|
path: zho.dep.scidtb.conllu/train-* |
|
- split: validation |
|
path: zho.dep.scidtb.conllu/validation-* |
|
- split: test |
|
path: zho.dep.scidtb.conllu/test-* |
|
- config_name: zho.dep.scidtb.rels |
|
data_files: |
|
- split: train |
|
path: zho.dep.scidtb.rels/train-* |
|
- split: validation |
|
path: zho.dep.scidtb.rels/validation-* |
|
- split: test |
|
path: zho.dep.scidtb.rels/test-* |
|
- config_name: zho.rst.gcdt.conllu |
|
data_files: |
|
- split: train |
|
path: zho.rst.gcdt.conllu/train-* |
|
- split: validation |
|
path: zho.rst.gcdt.conllu/validation-* |
|
- split: test |
|
path: zho.rst.gcdt.conllu/test-* |
|
- config_name: zho.rst.gcdt.rels |
|
data_files: |
|
- split: train |
|
path: zho.rst.gcdt.rels/train-* |
|
- split: validation |
|
path: zho.rst.gcdt.rels/validation-* |
|
- split: test |
|
path: zho.rst.gcdt.rels/test-* |
|
--- |
|
|
|
## Disrpt is a multilingual, multi-framework unified discourse analysis benchmark. |
|
|
|
It unifies discourse relation classification tasks (.rels) and discourse segmentation (.connlu) for many languages. |
|
|
|
⚠️ This repo only contains the disrpt dataset when the underlying data is permissively licensed. Some datasets rely on corpora like the PTB. |
|
To load these datasets, do the following: |
|
`pip install disrpt-utils` |
|
|
|
```python |
|
from disrpt_utils import load_dataset |
|
|
|
corpora_paths={ |
|
#TODO Input your own paths |
|
"tur.pdtb.tdb": "/mnt/nfs_share_magnet2/dsileo/data/disrpt/TDB1.0/raw/", |
|
"eng.rst.rstdt": "/mnt/nfs_share_magnet2/dsileo/data/disrpt/RSTtrees-WSJ-main-1.0-20231128T125253Z-001/" |
|
} |
|
|
|
config_name="eng.rst.rstdt" |
|
load_dataset(config_name,'conllu',corpora_paths=corpora_paths) |
|
``` |
|
|
|
Otherwise, most datasets are directly accessible: |
|
```python |
|
from huggingface import load_dataset |
|
load_dataset(/multilingual-discourse-hub/disrpt/'','eng.dep.scidtb.rels') |
|
``` |
|
|
|
# Citations |
|
|
|
``` |
|
@inproceedings{braud2024disrpt, |
|
title={{DISRPT}: A Multilingual, Multi-domain, Cross-framework Benchmark for Discourse Processing}, |
|
author={Braud, Chloé and Zeldes, Amir and Rivière, Laura and Liu, Yang Janet and Muller, Philippe and Sileo, Damien and Aoyama, Tatsuya}, |
|
booktitle={Proceedings of LREC-COLING 2024}, |
|
year={2024} |
|
} |
|
``` |
|
|
|
## Underline datasets: |
|
https://huggingface.co/datasets/multilingual-discourse-hub/disrpt/raw/main/bibtex.json |
