Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
acceptability-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
•
ae57a3f
1
Parent(s):
d1184bd
Add determiner_noun_agreement_with_adjective_1 data files
Browse files
README.md
CHANGED
@@ -492,10 +492,10 @@ 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: distractor_agreement_relational_noun
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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_with_adj_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: 185126
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num_examples: 1000
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+
download_size: 55682
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+
dataset_size: 185126
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- config_name: distractor_agreement_relational_noun
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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_with_adj_irregular_2/train-*
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- config_name: determiner_noun_agreement_with_adjective_1
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data_files:
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- split: train
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path: determiner_noun_agreement_with_adjective_1/train-*
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---
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# Dataset Card for "blimp"
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dataset_infos.json
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"features": {
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"builder_name": "blimp",
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"config_name": "determiner_noun_agreement_with_adjective_1",
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"version": {
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"version_str": "0.1.0",
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"distractor_agreement_relational_noun": {
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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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"_type": "Value"
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"sentence_bad": {
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"_type": "Value"
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"builder_name": "blimp",
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"dataset_name": "blimp",
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"config_name": "determiner_noun_agreement_with_adjective_1",
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"distractor_agreement_relational_noun": {
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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_adjective_1/train-00000-of-00001.parquet
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd61dd23aa32be9bfe5f8c440a1bfc1720bde1543428cbe919a1359f53fa8cfb
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size 55682
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