Name graph release factprop_graph_v1.pkl

GRAPH.md

@@ -1,6 +1,6 @@
 # FACTPROP graph checkpoint
 
-`final.pkl` is the unchanged original checkpoint, 125,274,720 bytes.
+`factprop_graph_v1.pkl` is the unchanged original checkpoint, 125,274,720 bytes.
 
 SHA-256: `437a434260edbb019c85575d65b4775cb2461f145e17966ee3acc8e4625ce7c8`
 

README.md

@@ -25,15 +25,15 @@ configs:
 
 ## Overview
 
-FACTPROP is a factual graph for studying how knowledge updates affect connected facts in large language models. This release includes the original `final.pkl` graph checkpoint and the **entity popularity index** used by the project’s browser explorer: 100,015 graph-node records with entity labels, available Wikidata QIDs, and forward-edge object in-degree.
+FACTPROP is a factual graph for studying how knowledge updates affect connected facts in large language models. This release includes the original `factprop_graph_v1.pkl` graph checkpoint and the **entity popularity index** used by the project’s browser explorer: 100,015 graph-node records with entity labels, available Wikidata QIDs, and forward-edge object in-degree.
 
-The graph checkpoint includes directed relations and edge attributes for questions, surface statements, and evidence. Experiment outputs and model checkpoints are not included. The dataset viewer displays the entity index; download `final.pkl` to access the complete graph.
+The graph checkpoint includes directed relations and edge attributes for questions, surface statements, and evidence. Experiment outputs and model checkpoints are not included. The dataset viewer displays the entity index; download `factprop_graph_v1.pkl` to access the complete graph.
 
 ## Contents
 
 | File | Description |
 | --- | --- |
-| `final.pkl` | Original graph checkpoint (125,274,720 bytes), unchanged |
+| `factprop_graph_v1.pkl` | Original graph checkpoint (125,274,720 bytes), unchanged |
 | `GRAPH.md` | Checkpoint structure and graph loading guide |
 | `load_graph.py` | Download, verify, and load the graph |
 | `data/entities.jsonl` | One object per graph node, suitable for the dataset viewer |
@@ -101,7 +101,7 @@ with open(path, encoding="utf-8") as stream:
 - Some expected mappings, including the Java and Python programming languages, are absent.
 - A missing mapping does not imply low popularity or a score of zero. A known graph node may independently have a true degree of zero.
 - Multiple nodes with one QID must be reviewed separately. Do not automatically sum their degrees or take the maximum.
-- The index supports node-level lookup; use `final.pkl` for graph traversal. The graph alone does not include every experiment input or output needed to reproduce all paper results.
+- The index supports node-level lookup; use `factprop_graph_v1.pkl` for graph traversal. The graph alone does not include every experiment input or output needed to reproduce all paper results.
 
 ## Provenance and versions
 

SHA256SUMS

@@ -1,8 +1,8 @@
-edb72ce528ffc4495ab97a80767eaa81a08a57d18f4c25d09f47c516b3e414f0  GRAPH.md
-9206dcac8a3fb4ebf99a8d4d1f6e35b4276dbf0c2e4d71572f259c5b53be5966  README.md
+8eebe4a8b875d1061c7b55947883b455fa1565fb6a6e39b8056c7160381d7cfc  GRAPH.md
+0e39be25c73784ec053609ccfc3171a1ecaf02da1e9cfe25998d12d93c42106e  README.md
 fa7d9aec01b9c98c09cebc941265e4351693b362ffb3048d2c86585e84d7800d  browser-index.json
 2c21f2aefb9cbcc749cd813412dd90fea440050eeb8efb3356de786ebeb501e6  data/entities.jsonl
-437a434260edbb019c85575d65b4775cb2461f145e17966ee3acc8e4625ce7c8  final.pkl
-dc3b8e818d864a3966ee1c0bba19e788b2648e90100dfc84cdb1f427bae9e389  load_graph.py
+437a434260edbb019c85575d65b4775cb2461f145e17966ee3acc8e4625ce7c8  factprop_graph_v1.pkl
+c73d0a4b3f6df2166ba960a64cd5d3522728f46c2597f4f6604cc65533b46888  load_graph.py
 29e825c9838eb795a18672eb6a569cc2b666cf6971b5bd911655113a138e94ad  metadata/graph.json
-8fb3ae92e171613be24a99da45559538da97b81dba174ca70b2b1b366e634acb  metadata/release.json
+f37ba2ebf958481a3d4587391bc5dfefe93ea7c62e6326953211c4bed4e98317  metadata/release.json

load_graph.py

@@ -6,7 +6,7 @@ from huggingface_hub import hf_hub_download
 SHA256 = "437a434260edbb019c85575d65b4775cb2461f145e17966ee3acc8e4625ce7c8"
 
 def load_graph():
-    path = hf_hub_download("factprop/FACTPROP", "final.pkl", repo_type="dataset")
+    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:

metadata/release.json

@@ -7,6 +7,6 @@
   "missing_qid_records": 33901,
   "qids_with_multiple_nodes": 5037,
   "scope": "Original graph checkpoint and entity popularity index.",
-  "graph_file": "final.pkl",
+  "graph_file": "factprop_graph_v1.pkl",
   "graph_sha256": "437a434260edbb019c85575d65b4775cb2461f145e17966ee3acc8e4625ce7c8"
 }