metadata
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: SOTAB_CTA
source_datasets:
- original
task_ids: []
tags:
- table-annotation
dataset_info:
- config_name: random-split-1
features:
- name: id
dtype: string
- name: column_index
dtype: int32
- name: label
sequence: string
- name: table
struct:
- name: rows
sequence:
sequence: string
- name: name
dtype: string
splits:
- name: train
num_bytes: null
num_examples: 130471
- name: test
num_bytes: null
num_examples: 15040
- name: validation
num_bytes: null
num_examples: 16840
download_size: null
dataset_size: 162351
Dataset Card for SOTAB
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: SOTAB homepage
- Repository: SOTAB repository
- Paper: SOTAB: The WDC Schema.org Table Annotation Benchmark
- Leaderboard: SOTAB leaderboard on PaperWithCode
- Point of Contact: [Needs More Information]
Dataset Summary
The SOTAB dataset is a large-scale dataset for the task of column type annotation on semi-structured tables.
Supported Tasks and Leaderboards
table-annotation, column-type-annotation
Languages
en
Dataset Structure
Data Instances
default
- Size of downloaded dataset files:
- Size of the generated dataset:
- Total amount of disk used:
An example of 'validation' looks as follows:
{
"id": "0",
"column_index": 3,
"label": "currency",
"table": {
"name": "Book_7sat.co.uk_September2020_CTA.json.gz",
"rows": [
["2001", "2", "USL A-League", ...],
["2002", "2", "USL A-League", ...],
...
]
}
}
Data Fields
The data fields are the same among all splits.
default
id
: astring
feature.question
: astring
feature.answers
: alist
ofstring
feature.table
: a dictionary feature containing:rows
: alist
oflist
ofstring
features:name
: astring
feature.
Data Splits
name | train | validation | test |
---|---|---|---|
default | 130471 | 16840 | 15040 |
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
Panupong Pasupat and Percy Liang
Licensing Information
Creative Commons Attribution Share Alike 4.0 International
Citation Information
Contributions
Thanks to @ShivangiBithel for adding this dataset.