---
language:
- ru
multilinguality:
- monolingual
annotations_creators:
- expert-generated
pretty_name: RuSRL
license: cc-by-nc-4.0
task_categories:
- token-classification
subtasks:
- semantic-role-labeling
- parsing
tags:
- semantic-role-labeling
- syntax-parsing
- tokenization
size_categories:
- 1K<n<10K
---
# Dataset Card for RuSRL


## Dataset Summary

This dataset contains annotations of semantic frames and intra-frame syntax for 1500 Russian sentences.

### Dataset Description

Each sentence is annotated with predicate-argument structures. Syntactic information is also provided for each frame.

```
{
 "sent_id": 1404,
 "tokens": ["в", "такой", "ситуации", "основные", "метеоэлементы",
            "-", "температура", ",", "влажность", ",", "давление", "-",
            "претерпевают", "малые", "суточные", "изменения", "."],
 "synt_head": [12, 2, 0, 4, 12, -1, 4, -1, 6, -1, 8, -1, -1, 15, 15, 12, -1],
 "sem_head": [-1, -1, -1, -1, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, -1],
 "sem_role": ["_", "_", "_", "_", "субъект", "_", "_", "_", "_", "_", "_", "_", "_", "_", "_", "предикат", "_"]
}
```

- **Language:** Russian
- **Size:** 1500 sentences


## Citation

```
@inproceedings{shelmanov2014methods,
  title={Methods for semantic role labeling of Russian texts},
  author={Shelmanov, AO and Smirnov, IV},
  booktitle={Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference Dialogue},
  volume={13},
  number={20},
  pages={607--620},
  year={2014}
}
```