README.md

---
task_categories:
- token-classification
language:
- uk
pretty_name: 'Silver Ukrainian Coreference Dataset '
tags:
- coreference-resolution
- coreference
- anaphora
size_categories:
- 10K<n<100K
---
# Silver Ukrainian Coreference Dataset

## Dataset Description

### Dataset Summary

A silver coreference resolution dataset for the Ukrainian language. The dataset was generated automatically with the usage of the word alignment method from the following English dataset: https://github.com/d5555/Coreference-dataset.
The word alignment method was implemented by Andrii Kursin (aqrsn@ukr.net).

### Languages

- Ukrainian

## Dataset Structure

### Data Fields

Each sample of the dataset consists of the following fields:
- **doc_key** - document identifier.
- **clusters** - list of clusters, where each cluster consists of the list of mentions. Each mention is represented as a list of two indices: the first index denotes the first word of the mention, the second index denotes the last word of the mention.
- **sentences** - list of sentences where each sentence is represented as a list of words.
- **tokens** - list of words.
- **speakers** - list of speakers which is currently filled with dummy input.

### Data Splits

The dataset is divided into two parts:
- training set;
- validation set.

A test set is absent as far as the dataset is generated automatically.

## Dataset Creation

### Source Data

The dataset was created from the following dataset: https://github.com/d5555/Coreference-dataset.

### Contributions

The code for the translation of samples with further alignment was created by Andrii Kursin (aqrsn@ukr.net). The dataset was generated by Artem Kramov (https://www.linkedin.com/in/artem-kramov-0b3731100/).