References:
plain_text
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:anli/plain_text')
- Description:
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.
- License: No known license
- Version: 0.1.0
- Splits:
Split | Examples |
---|---|
'dev_r1' |
1000 |
'dev_r2' |
1000 |
'dev_r3' |
1200 |
'test_r1' |
1000 |
'test_r2' |
1000 |
'test_r3' |
1200 |
'train_r1' |
16946 |
'train_r2' |
45460 |
'train_r3' |
100459 |
- Features:
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"_type": "Value"
},
"premise": {
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"hypothesis": {
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"label": {
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"names": [
"entailment",
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],
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