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-*
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path: data/part_109-*
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path: data/part_110-*
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path: data/part_111-*
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path: data/part_112-*
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path: data/part_113-*
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path: data/part_114-*
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path: data/part_115-*
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path: data/part_116-*
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path: data/part_117-*
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path: data/part_118-*
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path: data/part_119-*
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path: data/part_120-*
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path: data/part_121-*
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path: data/part_122-*
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path: data/part_123-*
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path: data/part_124-*
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path: data/part_125-*
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path: data/part_126-*
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path: data/part_127-*
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path: data/part_128-*
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path: data/part_129-*
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path: data/part_130-*
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path: data/part_131-*
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path: data/part_132-*
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path: data/part_133-*
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path: data/part_134-*
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path: data/part_135-*
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path: data/part_136-*
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path: data/part_137-*
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path: data/part_138-*
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path: data/part_139-*
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path: data/part_140-*
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path: data/part_141-*
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path: data/part_142-*
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path: data/part_143-*
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path: data/part_144-*
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path: data/part_145-*
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path: data/part_146-*
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path: data/part_147-*
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path: data/part_148-*
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path: data/part_149-*
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path: data/part_150-*
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path: data/part_151-*
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path: data/part_152-*
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path: data/part_153-*
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path: data/part_154-*
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path: data/part_155-*
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path: data/part_156-*
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path: data/part_157-*
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path: data/part_158-*
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path: data/part_159-*
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path: data/part_160-*
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path: data/part_161-*
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path: data/part_162-*
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path: data/part_163-*
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path: data/part_164-*
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path: data/part_165-*
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path: data/part_166-*
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path: data/part_167-*
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path: data/part_168-*
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path: data/part_169-*
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path: data/part_170-*
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path: data/part_171-*
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path: data/part_172-*
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path: data/part_173-*
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path: data/part_174-*
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path: data/part_175-*
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path: data/part_176-*
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path: data/part_177-*
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path: data/part_178-*
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path: data/part_179-*
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path: data/part_184-*
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path: data/part_185-*
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path: data/part_186-*
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path: data/part_187-*
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path: data/part_188-*
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path: data/part_189-*
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path: data/part_190-*
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path: data/part_191-*
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path: data/part_192-*
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path: data/part_193-*
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path: data/part_194-*
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path: data/part_195-*
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path: data/part_196-*
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path: data/part_198-*
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path: data/part_199-*
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path: data/part_201-*
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path: data/part_202-*
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path: data/part_205-*
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path: data/part_206-*
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path: data/part_208-*
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path: data/part_212-*
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path: data/part_213-*
- split: part_214
path: data/part_214-*
- split: part_215
path: data/part_215-*
- split: part_216
path: data/part_216-*
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:
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download_size: 132156741
dataset_size: 341073612
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.