Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
acceptability-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
•
1dde59d
1
Parent(s):
3609617
Add determiner_noun_agreement_with_adj_2 data files
Browse files
README.md
CHANGED
@@ -408,10 +408,10 @@ dataset_info:
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dtype: int32
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splits:
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- name: train
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-
num_bytes:
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num_examples: 1000
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-
download_size:
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-
dataset_size:
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- config_name: determiner_noun_agreement_with_adj_irregular_1
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features:
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- name: sentence_good
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data_files:
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- split: train
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path: determiner_noun_agreement_irregular_2/train-*
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---
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# Dataset Card for "blimp"
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dtype: int32
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splits:
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- name: train
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+
num_bytes: 179666
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num_examples: 1000
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+
download_size: 56346
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dataset_size: 179666
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- config_name: determiner_noun_agreement_with_adj_irregular_1
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features:
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- name: sentence_good
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data_files:
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- split: train
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path: determiner_noun_agreement_irregular_2/train-*
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- config_name: determiner_noun_agreement_with_adj_2
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data_files:
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- split: train
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path: determiner_noun_agreement_with_adj_2/train-*
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---
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# Dataset Card for "blimp"
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dataset_infos.json
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@@ -891,62 +891,50 @@
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"builder_name": "blimp",
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"config_name": "determiner_noun_agreement_with_adj_2",
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"version": {
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"determiner_noun_agreement_with_adj_irregular_1": {
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"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n",
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"features": {
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"builder_name": "blimp",
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+
"dataset_name": "blimp",
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"config_name": "determiner_noun_agreement_with_adj_2",
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"determiner_noun_agreement_with_adj_irregular_1": {
|
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"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n",
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determiner_noun_agreement_with_adj_2/train-00000-of-00001.parquet
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:732f6dc785f282ef4757e119c847feef552c324b7125bb5191eb1f1377ef060d
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size 56346
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