Datasets:

qanastek
/

MASSIVE

Tasks:

Text Classification

Sub-tasks: intent-classification multi-class-classification named-entity-recognition

Languages: Afrikaans Amharic Arabic

Multilinguality: multilingual

Size Categories: 100K<n<1M

Language Creators: found

Annotations Creators: machine-generated expert-generated

Source Datasets: original

ArXiv:

Dataset card Files Files and versions Community

MASSIVE / test_MASSIVE.py

qanastek's picture

Change the DEFAULT_CONFIG_NAME

714876f almost 2 years ago

raw history blame contribute delete

No virus

818 Bytes

	from datasets import load_dataset, set_caching_enabled

	set_caching_enabled(False)

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

	dataset = load_dataset(source, "all")
	# dataset = load_dataset(source, "ja-JP")
	# dataset = load_dataset(source, "ko-KR")
	# dataset = load_dataset(source, "zh-CN")
	# dataset = load_dataset(source, "fr-FR")
	# dataset = load_dataset(source, "fr-FR", download_mode="force_redownload")
	# print(dataset)

	# dataset = load_dataset(source, "en-US")
	# dataset = load_dataset(source, "en-US", download_mode="force_redownload")
	# , split="train"
	print(dataset)

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

	# tags = []

	# for e in dataset["train"]:
	# tags.extend(
	# e["ner_tags"]
	# )

	# print("#"*50)

	# print(list(set(tags)))