Use hf URLs for images

data/clue/train.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8373cf3c06ddc497a04bfaac97f9eb239dac7079780af0df714cacb2a92dbfc6
-size 1158823
+oid sha256:7f395f5f31a7b4c20a42ba81dfffccca279a8c90829c78bb2b12e6c628a4980c
+size 1214855

data/mep/train.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:071afec281eadb85e990757114d4932973068c60a832ada8add3076db26a651e
-size 888139
+oid sha256:3c7aeb9034dd16f8cbdaceef1813de4a33cc52db208465d4edee65624a160c69
+size 929483

data/stats.json

@@ -1,13 +1,13 @@
 {
   "clue": {
     "num_examples": 1648,
-    "num_bytes": 1158823,
+    "num_bytes": 1214855,
     "source_path": "raw/clue_metadata.jsonl",
     "output_path": "data/clue/train.jsonl"
   },
   "mep": {
     "num_examples": 1216,
-    "num_bytes": 888139,
+    "num_bytes": 929483,
     "source_path": "raw/mep_metadata.jsonl",
     "output_path": "data/mep/train.jsonl"
   }

scripts/build_viewer_files.py

@@ -10,6 +10,8 @@ from typing import Dict, Iterator, MutableMapping
 ROOT = Path(__file__).resolve().parents[1]
 RAW_DIR = ROOT / "raw"
 OUTPUT_DIR = ROOT / "data"
+HF_DATASET_ID = "ishwarbb23/cuebench"
+HF_IMAGE_PREFIX = f"hf://datasets/{HF_DATASET_ID}/"
 
 CONFIG_SOURCES: Dict[str, Path] = {
     "clue": RAW_DIR / "clue_metadata.jsonl",
@@ -49,7 +51,8 @@ def _normalize_record(record: MutableMapping[str, object]) -> MutableMapping[str
     image_path = record.get("image_path")
     record["image_path"] = image_path
     if image_path:
-        record["image"] = str(Path(image_path))
+        normalized_path = str(Path(image_path))
+        record["image"] = f"{HF_IMAGE_PREFIX}{normalized_path}"
     else:
         record["image"] = None
     return record