add loc_inspect script

loc_inspect.py

@@ -0,0 +1,32 @@
+# /// script
+# dependencies = ["datasets", "huggingface_hub"]
+# ///
+import json
+from datasets import load_dataset
+
+ds = load_dataset("biglam/loc_beyond_words")
+for split in ds:
+    print("=== SPLIT:", split, len(ds[split]))
+    f = ds[split].features
+    print("features:", list(f.keys()))
+    print("features detail:", {k: str(v) for k, v in f.items()})
+
+# look at labels in a sample row
+row = ds["validation"][0]
+print("sample keys:", list(row.keys()))
+for k, v in row.items():
+    if k != "image":
+        print("  ", k, ":", v)
+
+# gather all training classes
+train = ds["train"]
+classes = set()
+imgs_per_class = {}
+N = len(train)
+for i in range(N):
+    objs = train[i]["objects"]
+    for el in objs.get("label", []):
+        el = el if isinstance(el, int) else int(el)
+        classes.add(el)
+print("\nnum rows train:", N)
+print("label set in train:", sorted(classes))