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qanastek
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HoC

Tasks:

Text Classification

Sub-tasks:

multi-class-classification

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HoC / test_HoC.py

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	from collections import Counter

	from datasets import load_dataset, set_caching_enabled

	# If you need to force clear the cache
	# set_caching_enabled(False)

	# source = "HoC.py"
	source = "qanastek/HoC"

	dataset = load_dataset(source)
	# dataset = load_dataset(source, "HoC")

	print(dataset)

	f = dataset["validation"][0]
	print(f)

	print()
	print("#"*100)
	print()

	lengths = []

	for e in dataset["train"]:
	l = len(e["label"])
	if l == 0 or l >= 4:
	print(l, " => ", e, "\n")
	lengths.append(l)

	for e in dataset["validation"]:
	l = len(e["label"])
	if l == 0 or l >= 4:
	print(l, " => ", e, "\n")
	lengths.append(l)

	for e in dataset["test"]:
	l = len(e["label"])
	if l == 0 or l >= 4:
	print(l, " => ", e, "\n")
	lengths.append(l)

	print(Counter(lengths))