sebelum

ds = tfds.load('huggingface:anli/plain_text')

The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset, 
The dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure.
ANLI is much more difficult than its predecessors including SNLI and MNLI.
It contains three rounds. Each round has train/dev/test splits.

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    "hypothesis": {
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    "label": {
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        "names": [
            "entailment",
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}