Datasets:

shivangibithel
/

SOTAB

Languages:

English

Tags:

table-annotation

License:

Dataset card Data Studio Files Files and versions

xet

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Split (3)

train

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column_index string	label string	table dict
5	currency	{ "header": [ "col1", "col2", "col3", "col4", "col5", "col6" ], "rows": [ [ "Be Prepared pin", "https://corememoriesco.com/products/be-prepared-pin", "//cdn.shopify.com/s/files/1/2781/6282/products/IMG_8361_grande.jpeg?v=1558567701", "7.25", "For the truly...
0	Product/name	{ "header": [ "col1", "col2", "col3", "col4", "col5", "col6" ], "rows": [ [ "Be Prepared pin", "https://corememoriesco.com/products/be-prepared-pin", "//cdn.shopify.com/s/files/1/2781/6282/products/IMG_8361_grande.jpeg?v=1558567701", "7.25", "For the truly...
3	price	{ "header": [ "col1", "col2", "col3", "col4", "col5", "col6" ], "rows": [ [ "Be Prepared pin", "https://corememoriesco.com/products/be-prepared-pin", "//cdn.shopify.com/s/files/1/2781/6282/products/IMG_8361_grande.jpeg?v=1558567701", "7.25", "For the truly...
2	DateTime	{ "header": [ "col1", "col2", "col3", "col4", "col5" ], "rows": [ [ "Paint Out Cambridge 2019 Artist Awards & Prizewinning Paintings", "The inaugural Paint Out Cambridge took place this week and saw over 140 paintings created, each in under 3 hours, across the days and early ev...
4	currency	{ "header": [ "col1", "col2", "col3", "col4", "col5", "col6", "col7", "col8" ], "rows": [ [ "\\\"Blue Blocks Behind The Barn\\", "“Many of the roads we’ve traveled have taken us through beautiful farm country across North America. Images of rolling hills, flat field...
6	Date	{ "header": [ "col1", "col2", "col3", "col4", "col5", "col6", "col7", "col8" ], "rows": [ [ "\\\"Blue Blocks Behind The Barn\\", "“Many of the roads we’ve traveled have taken us through beautiful farm country across North America. Images of rolling hills, flat field...
2	currency	{"header":["col1","col2","col3","col4","col5","col6","col7","col8"],"rows":[["No. 10 Cast Iron Chef (...TRUNCATED)
3	currency	{"header":["col1","col2","col3","col4"],"rows":[["kendri 091031 crete swc ektar100 001 006","https:/(...TRUNCATED)
3	currency	{"header":["col1","col2","col3","col4","col5","col6","col7"],"rows":[["Mixed Chicken Surprise Gluten(...TRUNCATED)
5	Date	{"header":["col1","col2","col3","col4","col5","col6","col7"],"rows":[["Mixed Chicken Surprise Gluten(...TRUNCATED)

End of preview.

Dataset Card for SOTAB

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

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",
        "header": ["col1", "col2", ...]
        "rows": [
           ["2001", "2", "USL A-League", ...],
           ["2002", "2", "USL A-League", ...], 
           ...
        ]
    }
}

Data Fields

The data fields are the same among all splits.

default

id: a int32 feature.
column_index: a string feature.
label: a string feature.
table: a dictionary feature containing:
- rows: a list of string features.
- rows: a list of list of string features.
- name: a string feature.