Datasets:

factprop
/

FACTPROP

The pickle contains a dictionary. payload["graph"] is a NetworkX DiGraph, with 100,015 nodes and 432,562 stored directed edges. Additional keys are state, seed_entities, validator_state, and scheduler_stats, retained as original construction metadata.

Node identifiers are entity-label strings. Node attributes are qid and qid_status; QID mappings may be missing or shared by multiple nodes.

Edge field	Meaning
`relation`	Relation identifier
`question`	Associated natural-language question
`surface`	Natural-language statement
`evidence`	Stored supporting text
`confidence`	Construction-time confidence value
`group`	Construction category
`is_inverse`	Whether the edge is an inverse traversal edge

There are 357,205 forward edges and 75,357 inverse edges. Popularity counts incoming edges with is_inverse is not True. Do not use total in-degree without filtering inverse edges when comparing to the browser index. Field presence does not guarantee that all values are non-empty or independently correct.

Load and inspect

Install networkx and huggingface_hub, then run the accompanying load_graph.py. It downloads the graph, checks its checksum, loads the dictionary, and prints graph counts. Python pickle loading can execute code, so only load a checkpoint you trust.

from load_graph import load_graph

graph = load_graph()
entity = "Apple Inc."
score = sum(1 for _, _, attrs in graph.in_edges(entity, data=True)
            if attrs.get("is_inverse") is not True)
assert score == 467

No graph nodes, mappings, edges, or checkpoint metadata were changed for this release. Mapping revisions must be maintained separately.