Datasets:
Commit
•
20c3acf
1
Parent(s):
358bc66
Replace YAML keys from int to str
Browse filesReplace YAML metadata integer keys with strings, as the Hub does not support integers.
See: https://github.com/huggingface/datasets/issues/5275
README.md
CHANGED
@@ -23,115 +23,6 @@ task_ids:
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- text-scoring
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paperswithcode_id: glue
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pretty_name: GLUE (General Language Understanding Evaluation benchmark)
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-
train-eval-index:
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-
- config: cola
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-
task: text-classification
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-
task_id: binary_classification
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
sentence: text
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-
label: target
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-
- config: sst2
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-
task: text-classification
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-
task_id: binary_classification
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
sentence: text
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-
label: target
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-
- config: mrpc
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-
task: text-classification
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-
task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
sentence1: text1
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-
sentence2: text2
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-
label: target
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-
- config: qqp
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-
task: text-classification
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-
task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
question1: text1
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-
question2: text2
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-
label: target
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-
- config: stsb
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-
task: text-classification
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-
task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
sentence1: text1
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-
sentence2: text2
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-
label: target
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-
- config: mnli
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-
task: text-classification
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-
task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation_matched
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-
col_mapping:
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-
premise: text1
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-
hypothesis: text2
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-
label: target
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-
- config: mnli_mismatched
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-
task: text-classification
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task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
premise: text1
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-
hypothesis: text2
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-
label: target
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-
- config: mnli_matched
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-
task: text-classification
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task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
premise: text1
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-
hypothesis: text2
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-
label: target
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-
- config: qnli
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-
task: text-classification
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-
task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
question: text1
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-
sentence: text2
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-
label: target
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-
- config: rte
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-
task: text-classification
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-
task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
sentence1: text1
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-
sentence2: text2
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-
label: target
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-
- config: wnli
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-
task: text-classification
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-
task_id: natural_language_inference
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-
splits:
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-
train_split: train
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-
eval_split: validation
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-
col_mapping:
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-
sentence1: text1
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-
sentence2: text2
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-
label: target
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configs:
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- ax
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- cola
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@@ -158,8 +49,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: unacceptable
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-
1: acceptable
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- name: idx
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dtype: int32
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splits:
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@@ -182,8 +73,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: negative
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-
1: positive
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- name: idx
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dtype: int32
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splits:
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@@ -208,8 +99,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: not_equivalent
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-
1: equivalent
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- name: idx
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dtype: int32
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splits:
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@@ -234,8 +125,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: not_duplicate
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-
1: duplicate
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- name: idx
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dtype: int32
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splits:
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@@ -282,9 +173,9 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: entailment
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-
1: neutral
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-
2: contradiction
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- name: idx
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dtype: int32
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splits:
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@@ -315,9 +206,9 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: entailment
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-
1: neutral
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-
2: contradiction
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- name: idx
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dtype: int32
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splits:
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@@ -339,9 +230,9 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: entailment
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-
1: neutral
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-
2: contradiction
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- name: idx
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dtype: int32
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splits:
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@@ -363,8 +254,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: entailment
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-
1: not_entailment
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- name: idx
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dtype: int32
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splits:
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@@ -389,8 +280,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: entailment
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-
1: not_entailment
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- name: idx
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dtype: int32
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splits:
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@@ -415,8 +306,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: not_entailment
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-
1: entailment
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- name: idx
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dtype: int32
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splits:
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@@ -441,9 +332,9 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: entailment
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-
1: neutral
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-
2: contradiction
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- name: idx
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dtype: int32
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splits:
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@@ -452,6 +343,115 @@ dataset_info:
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num_examples: 1104
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download_size: 222257
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dataset_size: 238392
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---
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# Dataset Card for GLUE
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- text-scoring
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paperswithcode_id: glue
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pretty_name: GLUE (General Language Understanding Evaluation benchmark)
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configs:
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- ax
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- cola
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dtype:
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class_label:
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names:
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+
'0': unacceptable
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+
'1': acceptable
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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'0': negative
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'1': positive
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': not_equivalent
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'1': equivalent
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': not_duplicate
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'1': duplicate
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': entailment
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'1': neutral
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'2': contradiction
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': entailment
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+
'1': neutral
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+
'2': contradiction
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': entailment
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+
'1': neutral
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+
'2': contradiction
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': entailment
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+
'1': not_entailment
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': entailment
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+
'1': not_entailment
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': not_entailment
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+
'1': entailment
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- name: idx
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dtype: int32
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splits:
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dtype:
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class_label:
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names:
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+
'0': entailment
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+
'1': neutral
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+
'2': contradiction
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- name: idx
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dtype: int32
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splits:
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num_examples: 1104
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download_size: 222257
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dataset_size: 238392
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+
train-eval-index:
|
347 |
+
- config: cola
|
348 |
+
task: text-classification
|
349 |
+
task_id: binary_classification
|
350 |
+
splits:
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351 |
+
train_split: train
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352 |
+
eval_split: validation
|
353 |
+
col_mapping:
|
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+
sentence: text
|
355 |
+
label: target
|
356 |
+
- config: sst2
|
357 |
+
task: text-classification
|
358 |
+
task_id: binary_classification
|
359 |
+
splits:
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+
train_split: train
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361 |
+
eval_split: validation
|
362 |
+
col_mapping:
|
363 |
+
sentence: text
|
364 |
+
label: target
|
365 |
+
- config: mrpc
|
366 |
+
task: text-classification
|
367 |
+
task_id: natural_language_inference
|
368 |
+
splits:
|
369 |
+
train_split: train
|
370 |
+
eval_split: validation
|
371 |
+
col_mapping:
|
372 |
+
sentence1: text1
|
373 |
+
sentence2: text2
|
374 |
+
label: target
|
375 |
+
- config: qqp
|
376 |
+
task: text-classification
|
377 |
+
task_id: natural_language_inference
|
378 |
+
splits:
|
379 |
+
train_split: train
|
380 |
+
eval_split: validation
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381 |
+
col_mapping:
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382 |
+
question1: text1
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383 |
+
question2: text2
|
384 |
+
label: target
|
385 |
+
- config: stsb
|
386 |
+
task: text-classification
|
387 |
+
task_id: natural_language_inference
|
388 |
+
splits:
|
389 |
+
train_split: train
|
390 |
+
eval_split: validation
|
391 |
+
col_mapping:
|
392 |
+
sentence1: text1
|
393 |
+
sentence2: text2
|
394 |
+
label: target
|
395 |
+
- config: mnli
|
396 |
+
task: text-classification
|
397 |
+
task_id: natural_language_inference
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398 |
+
splits:
|
399 |
+
train_split: train
|
400 |
+
eval_split: validation_matched
|
401 |
+
col_mapping:
|
402 |
+
premise: text1
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403 |
+
hypothesis: text2
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404 |
+
label: target
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405 |
+
- config: mnli_mismatched
|
406 |
+
task: text-classification
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407 |
+
task_id: natural_language_inference
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408 |
+
splits:
|
409 |
+
train_split: train
|
410 |
+
eval_split: validation
|
411 |
+
col_mapping:
|
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+
premise: text1
|
413 |
+
hypothesis: text2
|
414 |
+
label: target
|
415 |
+
- config: mnli_matched
|
416 |
+
task: text-classification
|
417 |
+
task_id: natural_language_inference
|
418 |
+
splits:
|
419 |
+
train_split: train
|
420 |
+
eval_split: validation
|
421 |
+
col_mapping:
|
422 |
+
premise: text1
|
423 |
+
hypothesis: text2
|
424 |
+
label: target
|
425 |
+
- config: qnli
|
426 |
+
task: text-classification
|
427 |
+
task_id: natural_language_inference
|
428 |
+
splits:
|
429 |
+
train_split: train
|
430 |
+
eval_split: validation
|
431 |
+
col_mapping:
|
432 |
+
question: text1
|
433 |
+
sentence: text2
|
434 |
+
label: target
|
435 |
+
- config: rte
|
436 |
+
task: text-classification
|
437 |
+
task_id: natural_language_inference
|
438 |
+
splits:
|
439 |
+
train_split: train
|
440 |
+
eval_split: validation
|
441 |
+
col_mapping:
|
442 |
+
sentence1: text1
|
443 |
+
sentence2: text2
|
444 |
+
label: target
|
445 |
+
- config: wnli
|
446 |
+
task: text-classification
|
447 |
+
task_id: natural_language_inference
|
448 |
+
splits:
|
449 |
+
train_split: train
|
450 |
+
eval_split: validation
|
451 |
+
col_mapping:
|
452 |
+
sentence1: text1
|
453 |
+
sentence2: text2
|
454 |
+
label: target
|
455 |
---
|
456 |
|
457 |
# Dataset Card for GLUE
|