Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
acceptability-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
•
c9bb307
1
Parent(s):
b41803b
Add causative data files
Browse files- README.md +7 -3
- causative/train-00000-of-00001.parquet +3 -0
- dataset_infos.json +6 -24
README.md
CHANGED
@@ -184,10 +184,10 @@ 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: complex_NP_island
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features:
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- name: sentence_good
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@@ -1917,6 +1917,10 @@ configs:
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data_files:
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- split: train
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path: animate_subject_trans/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: 122772
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num_examples: 1000
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+
download_size: 48963
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+
dataset_size: 122772
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- config_name: complex_NP_island
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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: animate_subject_trans/train-*
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+
- config_name: causative
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+
data_files:
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+
- split: train
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path: causative/train-*
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---
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# Dataset Card for "blimp"
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causative/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:cfec48a03e32498177214dd7add31df1200c2e049c6723678cbd3b66b5da52c4
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+
size 48963
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dataset_infos.json
CHANGED
@@ -347,62 +347,50 @@
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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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},
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"linguistics_term": {
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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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"UID": {
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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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"simple_LM_method": {
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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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"one_prefix_method": {
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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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"two_prefix_method": {
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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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"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": "causative",
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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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@@ -410,20 +398,14 @@
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"splits": {
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"train": {
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"name": "train",
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-
"num_bytes":
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"num_examples": 1000,
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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/causative.jsonl": {
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-
"num_bytes": 317162,
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-
"checksum": "2e1006cc24094a3049586888105b22181d77e09e11dea65a326b49977bb366f1"
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}
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},
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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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"complex_NP_island": {
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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": "causative",
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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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"splits": {
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"train": {
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"name": "train",
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+
"num_bytes": 122772,
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"num_examples": 1000,
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+
"dataset_name": null
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}
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},
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+
"download_size": 48963,
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+
"dataset_size": 122772,
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+
"size_in_bytes": 171735
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},
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"complex_NP_island": {
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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",
|