Datasets:
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
knowledge-graph
knowledge-updating
graph-analysis
factual-knowledge
question-answering
retrieval
License:
Download load_graph.py from factprop/FACTPROP: direct link, hf CLI and curl.
- Browser
- Download file 690 Bytes
-
https://huggingface.co/datasets/factprop/FACTPROP/resolve/main/load_graph.py
- Command line
-
hf download hf://datasets/factprop/FACTPROP/load_graph.py
-
curl -L -o load_graph.py https://huggingface.co/datasets/factprop/FACTPROP/resolve/main/load_graph.py
690 Bytes
| """Download, verify, and load the trusted original FACTPROP checkpoint.""" | |
| import hashlib | |
| import pickle | |
| from huggingface_hub import hf_hub_download | |
| SHA256 = "437a434260edbb019c85575d65b4775cb2461f145e17966ee3acc8e4625ce7c8" | |
| def load_graph(): | |
| path = hf_hub_download("factprop/FACTPROP", "factprop_graph_v1.pkl", repo_type="dataset") | |
| with open(path, "rb") as stream: | |
| content = stream.read() | |
| if hashlib.sha256(content).hexdigest() != SHA256: | |
| raise ValueError("Graph checksum mismatch") | |
| return pickle.loads(content)["graph"] | |
| if __name__ == "__main__": | |
| graph = load_graph() | |
| print(type(graph).__name__, graph.number_of_nodes(), graph.number_of_edges()) | |