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5e152de | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | # /// 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))
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