---
license: cc-by-4.0
language:
- zh
pretty_name: CSRTE-Text
tags:
- text-relation-extraction
- relation-extraction
- chinese
---

# CSRTE-Text

CSRTE-Text is the text-only counterpart of the CSRTE Chinese relation extraction benchmark. It contains transcriptions with named-entity and relation annotations, and is intended for text-only SpeechRE experiments, analysis, and comparison with the audio-based benchmark.

## Data format

The dataset is provided in `train.json`, `dev.json`, and `test.json`. Each JSON record contains:

- `sentence`: the transcription of the utterance.
- `audio_id`: the identifier inherited from the paired speech record.
- `data_annotation`: entity spans and relation annotations. Entity spans use `start`, `end`, `text`, and `labels`; relations identify their source and target entities and relation labels.
- `data_info`: available metadata associated with the utterance.

`dataset_info.json` lists the entity and relation label sets used by CSRTE.

## License

The dataset is released under the [Creative Commons Attribution 4.0 International license](https://creativecommons.org/licenses/by/4.0/). Please check the licenses and terms of the underlying sources before redistribution or commercial use.

## Citation

CSRTE was introduced and used by the following work:

```bibtex
@inproceedings{mu-etal-2026-acre,
  title = "{ACRE}: An Acoustic-Cue and Contextual-Knowledge Reasoning Enhancement Framework for Speech Relation Extraction",
  author = "Mu, Wenxuan and
    Ning, Jinzhong and
    Zhao, Di and
    Zhang, Yijia",
  editor = "Lee, Hung-Yi and
    Dev, Sunipa and
    Li, Jessy and
    Elliott, Desmond",
  booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2026",
  month = oct,
  year = "2026",
  address = "Budapest, Hungary",
  publisher = "Association for Computational Linguistics",
  url = "https://aclanthology.org/2026.findings-emnlp.1244/",
  doi = "10.18653/2026.findings-emnlp.1244",
  pages = "26343--26352",
  ISBN = "979-8-89176-462-0"
}
```