Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
acceptability-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
•
d3288c1
1
Parent(s):
c43d022
Add regular_plural_subject_verb_agreement_1 data files
Browse files
README.md
CHANGED
@@ -1416,10 +1416,10 @@ 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: regular_plural_subject_verb_agreement_2
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features:
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- name: sentence_good
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@@ -2093,6 +2093,10 @@ configs:
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data_files:
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- split: train
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path: principle_A_reconstruction/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: 158819
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num_examples: 1000
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+
download_size: 49466
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+
dataset_size: 158819
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- config_name: regular_plural_subject_verb_agreement_2
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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: principle_A_reconstruction/train-*
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- config_name: regular_plural_subject_verb_agreement_1
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data_files:
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- split: train
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path: regular_plural_subject_verb_agreement_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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@@ -3339,62 +3339,50 @@
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"features": {
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"sentence_good": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"sentence_bad": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"field": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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"linguistics_term": {
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"dtype": "string",
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"_type": "Value"
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"_type": "Value"
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},
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"lexically_identical": {
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"dtype": "bool",
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-
"id": null,
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"_type": "Value"
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},
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"pair_id": {
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"dtype": "int32",
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"id": null,
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"_type": "Value"
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}
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},
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-
"supervised_keys": null,
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"builder_name": "blimp",
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"config_name": "regular_plural_subject_verb_agreement_1",
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"version": {
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"version_str": "0.1.0",
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-
"description": null,
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"datasets_version_to_prepare": null,
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"major": 0,
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"minor": 1,
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"patch": 0
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@@ -3402,20 +3390,14 @@
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"splits": {
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"train": {
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"name": "train",
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"dataset_name":
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}
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},
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-
"download_checksums": {
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"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/regular_plural_subject_verb_agreement_1.jsonl": {
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"num_bytes": 451850,
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"checksum": "1a18d94062c8e792c0a200a3b00dff0e051a92bb084c05e9b5e5c73bee32a620"
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"download_size":
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"dataset_size":
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"size_in_bytes":
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},
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"regular_plural_subject_verb_agreement_2": {
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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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"sentence_good": {
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"dtype": "string",
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"_type": "Value"
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},
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"sentence_bad": {
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"dtype": "string",
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"_type": "Value"
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},
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"field": {
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"dtype": "string",
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"_type": "Value"
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},
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"linguistics_term": {
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"dtype": "string",
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"_type": "Value"
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},
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"UID": {
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"dtype": "string",
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"_type": "Value"
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},
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"simple_LM_method": {
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"dtype": "bool",
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"_type": "Value"
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},
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"one_prefix_method": {
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"dtype": "bool",
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"_type": "Value"
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},
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"two_prefix_method": {
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"dtype": "bool",
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"_type": "Value"
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},
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"lexically_identical": {
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"dtype": "bool",
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"_type": "Value"
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},
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"pair_id": {
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"dtype": "int32",
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"_type": "Value"
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}
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},
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"builder_name": "blimp",
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+
"dataset_name": "blimp",
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"config_name": "regular_plural_subject_verb_agreement_1",
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"version": {
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"version_str": "0.1.0",
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"major": 0,
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"minor": 1,
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"patch": 0
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"train": {
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"name": "train",
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"num_examples": 1000,
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}
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"download_size": 49466,
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"dataset_size": 158819,
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"size_in_bytes": 208285
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},
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"regular_plural_subject_verb_agreement_2": {
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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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regular_plural_subject_verb_agreement_1/train-00000-of-00001.parquet
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:602d82e663e7d8d73aad82eeb8b4f6d1f578dcf33121a54fd639e3f0d5196aeb
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+
size 49466
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