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-*
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
- name: key
dtype: string
splits:
- name: part_1
num_bytes: 90713
num_examples: 3
download_size: 28440
dataset_size: 90713
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.