IsaNLP/RuSRL

---
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}
}
```

原始信息汇总

数据集卡片 RuSRL

数据集概述

该数据集包含1500个俄语句子的语义框架和框架内句法注释。

数据集描述

每个句子都标注了谓词-论元结构。每个框架还提供了句法信息。

json { "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", "_"] }

• 语言： 俄语
• 大小： 1500个句子

引用

@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} }