Datasets:
File size: 3,240 Bytes
a967ab3 ccf1f2f af5bf95 3569a36 ccf1f2f b510f12 af5bf95 4a43ea3 ebfca14 4a43ea3 a36af3d 4a43ea3 f405754 a43493f 4a43ea3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 |
---
license: cc-by-4.0
tags:
- toloka
- graph
- node-classification
pretty_name: Graph of Crowd Annotators
size_categories:
- 10K<n<100K
task_categories:
- graph-ml
dataset_info:
features:
- name: id
dtype: int32
- name: approved_rate
dtype: float
- name: skipped_rate
dtype: float
- name: expired_rate
dtype: float
- name: rejected_rate
dtype: float
- name: education
dtype: string
- name: english_profile
dtype: bool
- name: english_tested
dtype: bool
- name: banned
dtype: bool
---
# Toloker Graph: Interaction of Crowd Annotators
## Dataset Description
- **Repository:** https://github.com/Toloka/TolokerGraph
- **Point of Contact:** research@toloka.ai
### Dataset Summary
This repository contains a graph representing interactions between crowd annotators on a project labeled on the [Toloka](https://toloka.ai/) crowdsourcing platform (see the [Toloka overview](https://toloka.ai/en/docs/guide/concepts/overview) for the details on the used terminology).
The graph contains 11,758 nodes and 519,000 edges. Each node represents an individual annotator; nodes are provided with four numerical and three categorical features. An edge is drawn between a pair of annotators if they annotated the same task. Also, each node is provided with a label showing whether the annotator was banned on this project, or not.
### Nodes
Nodes are stored in the [nodes.tsv](nodes.tsv) file in the TSV format of the following structure:
- `id`: unique identifier of the annotator
- `approved_rate`: percentage of the approved labels of this annotator
- `skipped_rate`: percentage of the skipped tasks of this annotator
- `expired_rate`: percentage of the expired tasks of this annotator
- `rejected_rate`: percentage of the rejected labels of this annotator
- `education`: level of education as self-reported by this annotator (`none`, `basic`, `middle`, `high`)
- `english_profile`: knowledge of English as self-reported by this annotator (`0` for no, `1` for yes)
- `english_tested`: whether the annotator passed the Toloka language test for English (`0` for no, `1` for yes)
- `banned`: whether the annotator was banned on this project (`0` for no, `1` for yes)
The `*_rate` attributes should sum up to 1.
### Edges
Edges are stored in the [edges.tsv](edges.tsv) file in the TSV format of the following structure:
- `source`: source identifier of the annotator
- `target`: target identifier of the annotator
As the graph is undirected, `source` and `target` can be interchanged for the given pair of nodes.
### Citation
* Likhobaba, D., Pavlichenko, N., Ustalov, D. (2023). [Toloker Graph: Interaction of Crowd Annotators](https://doi.org/10.5281/zenodo.7620795). Zenodo. <https://doi.org/10.5281/zenodo.7620795>
```bibtex
@dataset{Tolokers,
author = {Likhobaba, Daniil and Pavlichenko, Nikita and Ustalov, Dmitry},
title = {{Toloker Graph: Interaction of Crowd Annotators}},
year = {2023},
publisher = {Zenodo},
doi = {10.5281/zenodo.7620795},
url = {https://github.com/Toloka/TolokerGraph},
language = {english},
}
```
### Copyright
Licensed under the Creative Commons Attribution 4.0 License. See LICENSE file for more details.
|