metadata
license: mit
source_datasets:
- approximatelabs/tablib-v1-sample
task_categories:
- tabular-to-graph
- graph-learning
- network-analysis
language:
- en
configs:
- config_name: default
data_files:
- split: part_1
path: data/part_1-*
- split: part_2
path: data/part_2-*
- split: part_3
path: data/part_3-*
- split: part_108
path: data/part_108-*
- split: part_109
path: data/part_109-*
- split: part_110
path: data/part_110-*
- split: part_111
path: data/part_111-*
- split: part_112
path: data/part_112-*
- split: part_113
path: data/part_113-*
- split: part_114
path: data/part_114-*
- split: part_115
path: data/part_115-*
- split: part_116
path: data/part_116-*
- split: part_117
path: data/part_117-*
- split: part_118
path: data/part_118-*
- split: part_119
path: data/part_119-*
- split: part_120
path: data/part_120-*
- split: part_121
path: data/part_121-*
- split: part_122
path: data/part_122-*
- split: part_123
path: data/part_123-*
- split: part_124
path: data/part_124-*
- split: part_125
path: data/part_125-*
- split: part_126
path: data/part_126-*
- split: part_127
path: data/part_127-*
- split: part_128
path: data/part_128-*
- split: part_129
path: data/part_129-*
- split: part_130
path: data/part_130-*
- split: part_131
path: data/part_131-*
- split: part_132
path: data/part_132-*
- split: part_133
path: data/part_133-*
- split: part_134
path: data/part_134-*
- split: part_135
path: data/part_135-*
- split: part_136
path: data/part_136-*
- split: part_137
path: data/part_137-*
- split: part_138
path: data/part_138-*
- split: part_139
path: data/part_139-*
- split: part_140
path: data/part_140-*
- split: part_141
path: data/part_141-*
- split: part_142
path: data/part_142-*
- split: part_143
path: data/part_143-*
- split: part_144
path: data/part_144-*
- split: part_145
path: data/part_145-*
- split: part_146
path: data/part_146-*
- split: part_147
path: data/part_147-*
- split: part_148
path: data/part_148-*
- split: part_149
path: data/part_149-*
- split: part_150
path: data/part_150-*
- split: part_151
path: data/part_151-*
- split: part_152
path: data/part_152-*
- split: part_153
path: data/part_153-*
- split: part_154
path: data/part_154-*
- split: part_155
path: data/part_155-*
- split: part_156
path: data/part_156-*
dataset_info:
features:
- name: batch_id
dtype: int64
- name: table_id
dtype: int64
- name: reconstruction_id
dtype: int64
- name: graph_data
dtype: string
- name: column_names
dtype: string
- name: num_nodes
dtype: int64
- name: num_edges
dtype: int64
- name: serialization
dtype: string
- name: original_size
dtype: int64
- name: serialized_size
dtype: int64
splits:
- name: part_1
num_bytes: 2664
num_examples: 2
- name: part_2
num_bytes: 228
num_examples: 1
- name: part_3
num_bytes: 1423
num_examples: 1
- name: part_108
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num_examples: 251
- name: part_109
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num_examples: 224
- name: part_110
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num_examples: 288
- name: part_111
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num_examples: 196
- name: part_112
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num_examples: 255
- name: part_113
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num_examples: 264
- name: part_114
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num_examples: 239
- name: part_115
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num_examples: 244
- name: part_116
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num_examples: 235
- name: part_117
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num_examples: 55
- name: part_118
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num_examples: 47
- name: part_119
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num_examples: 48
- name: part_120
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num_examples: 50
- name: part_121
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num_examples: 54
- name: part_122
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num_examples: 119
- name: part_123
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num_examples: 221
- name: part_124
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num_examples: 263
- name: part_125
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num_examples: 238
- name: part_126
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num_examples: 183
- name: part_127
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num_examples: 324
- name: part_128
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num_examples: 146
- name: part_129
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num_examples: 258
- name: part_130
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num_examples: 294
- name: part_131
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num_examples: 254
- name: part_132
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num_examples: 251
- name: part_133
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num_examples: 222
- name: part_134
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num_examples: 56
- name: part_135
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num_examples: 72
- name: part_136
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num_examples: 65
- name: part_137
num_bytes: 306833
num_examples: 60
- name: part_138
num_bytes: 322156
num_examples: 61
- name: part_139
num_bytes: 430217
num_examples: 61
- name: part_140
num_bytes: 618556
num_examples: 130
- name: part_141
num_bytes: 2816923
num_examples: 280
- name: part_142
num_bytes: 5732007
num_examples: 287
- name: part_143
num_bytes: 1608351
num_examples: 204
- name: part_144
num_bytes: 2452147
num_examples: 250
- name: part_145
num_bytes: 1873718
num_examples: 241
- name: part_146
num_bytes: 1806988
num_examples: 207
- name: part_147
num_bytes: 4308641
num_examples: 235
- name: part_148
num_bytes: 3309154
num_examples: 307
- name: part_149
num_bytes: 3806721
num_examples: 224
- name: part_150
num_bytes: 1670787
num_examples: 301
- name: part_151
num_bytes: 817950
num_examples: 117
- name: part_152
num_bytes: 323866
num_examples: 66
- name: part_153
num_bytes: 746693
num_examples: 63
- name: part_154
num_bytes: 276939
num_examples: 53
- name: part_155
num_bytes: 385585
num_examples: 46
- name: part_156
num_bytes: 322176
num_examples: 58
download_size: 45545295
dataset_size: 94863049
GraphTab Sample Dataset
This dataset contains tables from approximatelabs/tablib-v1-sample processed into graph representations.
Usage
from datasets import load_dataset
import graphtab
# Load the dataset
dataset = load_dataset("{full_repo_id}")
# Access a graph
graph_data = dataset['test'][0]
# Deserialize it
graph = graphtab.deserialize_graph(graph_data['graph_data'], graph_data['serialization'])
Citation
If you use this dataset, please cite both the original dataset and GraphTab.