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: [email protected]
Dataset Summary
This repository contains a graph representing interactions between crowd annotators on a project labeled on the Toloka crowdsourcing platform (see the Toloka 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 file in the TSV format of the following structure:
id
: unique identifier of the annotatorapproved_rate
: percentage of the approved labels of this annotatorskipped_rate
: percentage of the skipped tasks of this annotatorexpired_rate
: percentage of the expired tasks of this annotatorrejected_rate
: percentage of the rejected labels of this annotatoreducation
: 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 file in the TSV format of the following structure:
source
: source identifier of the annotatortarget
: 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. Zenodo. https://doi.org/10.5281/zenodo.7620795
@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.