RuSRL / README.md
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---
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}
}
```