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-*
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
num_bytes: 6997759
num_examples: 251
- name: part_109
num_bytes: 1121365
num_examples: 224
- name: part_110
num_bytes: 5103770
num_examples: 288
- name: part_111
num_bytes: 5692103
num_examples: 196
- name: part_112
num_bytes: 933309
num_examples: 255
- name: part_113
num_bytes: 2805991
num_examples: 264
- name: part_114
num_bytes: 2731955
num_examples: 239
- name: part_115
num_bytes: 6089718
num_examples: 244
- name: part_116
num_bytes: 1910196
num_examples: 235
- name: part_117
num_bytes: 240283
num_examples: 55
download_size: 17770528
dataset_size: 33630764
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.