Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
acceptability-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
•
5b76995
1
Parent(s):
acf1a13
Add wh_questions_subject_gap data files
Browse files- README.md +7 -3
- dataset_infos.json +6 -24
- wh_questions_subject_gap/train-00000-of-00001.parquet +3 -0
README.md
CHANGED
@@ -1752,10 +1752,10 @@ 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: wh_questions_subject_gap_long_distance
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features:
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- name: sentence_good
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@@ -2141,6 +2141,10 @@ configs:
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data_files:
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- split: train
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path: wh_questions_object_gap/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: 195593
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num_examples: 1000
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+
download_size: 71632
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+
dataset_size: 195593
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- config_name: wh_questions_subject_gap_long_distance
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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: wh_questions_object_gap/train-*
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+
- config_name: wh_questions_subject_gap
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data_files:
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+
- split: train
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+
path: wh_questions_subject_gap/train-*
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---
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# Dataset Card for "blimp"
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dataset_infos.json
CHANGED
@@ -4155,62 +4155,50 @@
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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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"builder_name": "blimp",
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"config_name": "wh_questions_subject_gap",
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"version": {
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"version_str": "0.1.0",
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@@ -4218,20 +4206,14 @@
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},
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"download_checksums": {
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"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_questions_subject_gap.jsonl": {
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"size_in_bytes":
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"wh_questions_subject_gap_long_distance": {
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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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"_type": "Value"
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"field": {
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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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"UID": {
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"_type": "Value"
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"_type": "Value"
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"lexically_identical": {
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"_type": "Value"
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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": "wh_questions_subject_gap",
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"version": {
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"version_str": "0.1.0",
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"wh_questions_subject_gap_long_distance": {
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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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wh_questions_subject_gap/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:a58be1f30174106b6934ca13a7d89716e380a8f2ccd051f6bc20e85ba19904a4
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+
size 71632
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