MtCelesteMa/bert-base-uncased-finetuned-multiglue
Text Classification
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Updated
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6
Datasets:
task
stringclasses 7
values | sentence1
stringlengths 1
1.39k
| sentence2
stringlengths 1
2.46k
⌀ | label
class label 2
classes |
|---|---|---|---|
cola | Our friends won't buy this analysis, let alone the next one we propose. | null | 11
|
cola | One more pseudo generalization and I'm giving up. | null | 11
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cola | One more pseudo generalization or I'm giving up. | null | 11
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cola | The more we study verbs, the crazier they get. | null | 11
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cola | Day by day the facts are getting murkier. | null | 11
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cola | I'll fix you a drink. | null | 11
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cola | Fred watered the plants flat. | null | 11
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cola | Bill coughed his way out of the restaurant. | null | 11
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cola | We're dancing the night away. | null | 11
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cola | Herman hammered the metal flat. | null | 11
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cola | The critics laughed the play off the stage. | null | 11
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cola | The pond froze solid. | null | 11
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cola | Bill rolled out of the room. | null | 11
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cola | The gardener watered the flowers flat. | null | 11
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cola | The gardener watered the flowers. | null | 11
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cola | Bill broke the bathtub into pieces. | null | 11
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cola | Bill broke the bathtub. | null | 11
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cola | They drank the pub dry. | null | 11
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cola | They drank the pub. | null | 00
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cola | The professor talked us into a stupor. | null | 11
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cola | The professor talked us. | null | 00
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cola | We yelled ourselves hoarse. | null | 11
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cola | We yelled ourselves. | null | 00
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cola | We yelled Harry hoarse. | null | 00
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cola | Harry coughed himself into a fit. | null | 11
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cola | Harry coughed himself. | null | 00
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cola | Harry coughed us into a fit. | null | 00
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cola | Bill followed the road into the forest. | null | 11
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cola | We drove Highway 5 from SD to SF. | null | 11
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cola | Fred tracked the leak to its source. | null | 11
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cola | John danced waltzes across the room. | null | 11
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cola | Bill urinated out the window. | null | 11
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cola | Bill coughed out the window. | null | 11
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cola | Bill bled on the floor. | null | 11
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cola | The toilet leaked through the floor into the kitchen below. | null | 11
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cola | Bill ate off the floor. | null | 11
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cola | Bill drank from the hose. | null | 11
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cola | This metal hammers flat easily. | null | 11
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cola | They made him president. | null | 11
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cola | They made him angry. | null | 11
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cola | They caused him to become angry by making him. | null | 00
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cola | They caused him to become president by making him. | null | 00
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cola | They made him to exhaustion. | null | 00
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cola | They made him into a monster. | null | 11
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cola | The trolley rumbled through the tunnel. | null | 11
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cola | The wagon rumbled down the road. | null | 11
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cola | The bullets whistled past the house. | null | 11
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cola | The knee replacement candidate groaned up the stairs. | null | 11
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cola | The car honked down the road. | null | 00
|
cola | The dog barked out of the room. | null | 00
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cola | The dog barked its way out of the room. | null | 11
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cola | Bill whistled his way past the house. | null | 11
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cola | The witch vanished into the forest. | null | 11
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cola | Bill disappeared down the road. | null | 11
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cola | The witch went into the forest by vanishing. | null | 00
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cola | The witch went into the forest and thereby vanished. | null | 11
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cola | The building is tall and wide. | null | 11
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cola | The building is tall and tall. | null | 00
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cola | This building is taller and wider than that one. | null | 11
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cola | This building got taller and wider than that one. | null | 11
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cola | This building got taller and taller. | null | 11
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cola | This building is taller and taller. | null | 00
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cola | This building got than that one. | null | 00
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cola | This building is than that one. | null | 00
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cola | Bill floated into the cave. | null | 11
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cola | Bill floated into the cave for hours. | null | 00
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cola | Bill pushed Harry off the sofa for hours. | null | 00
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cola | Bill floated down the river for hours. | null | 11
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cola | Bill floated down the river. | null | 11
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cola | Bill pushed Harry along the trail for hours. | null | 11
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cola | Bill pushed Harry along the trail. | null | 11
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cola | The road zigzagged down the hill. | null | 11
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cola | The rope stretched over the pulley. | null | 11
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cola | The weights stretched the rope over the pulley. | null | 11
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cola | The weights kept the rope stretched over the pulley. | null | 11
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cola | Sam cut himself free. | null | 11
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cola | Sam got free by cutting his finger. | null | 11
|
cola | Bill cried himself to sleep. | null | 11
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cola | Bill cried Sue to sleep. | null | 00
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cola | Bill squeezed himself through the hole. | null | 11
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cola | Bill sang himself to sleep. | null | 11
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cola | Bill squeezed the puppet through the hole. | null | 11
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cola | Bill sang Sue to sleep. | null | 11
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cola | The elevator rumbled itself to the ground. | null | 00
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cola | If the telephone rang, it could ring itself silly. | null | 11
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cola | She yelled hoarse. | null | 00
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cola | Ted cried to sleep. | null | 00
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cola | The tiger bled to death. | null | 11
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cola | He coughed awake and we were all overjoyed, especially Sierra. | null | 11
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cola | John coughed awake, rubbing his nose and cursing under his breath. | null | 11
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cola | John coughed himself awake on the bank of the lake where he and Bill had their play. | null | 11
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cola | Ron yawned himself awake. | null | 11
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cola | She coughed herself awake as the leaf landed on her nose. | null | 11
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cola | The worm wriggled onto the carpet. | null | 11
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cola | The chocolate melted onto the carpet. | null | 11
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cola | The ball wriggled itself loose. | null | 00
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cola | Bill wriggled himself loose. | null | 11
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cola | Aliza wriggled her tooth loose. | null | 11
|
cola | The off center spinning flywheel shook itself loose. | null | 11
|
cola | The more you eat, the less you want. | null | 11
|
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Dataset Card for MultiGLUE
Dataset Summary
This dataset is a combination of the cola, mrpc, qnli, qqp, rte, sst2, and wnli subsets of the GLUE dataset. Its intended use is to benchmark language models on multitask binary classification.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Like the GLUE dataset, this dataset is in English.
Dataset Structure
Data Instances
An example instance looks like this:
{
"label": 1,
"task": "cola",
"sentence1": "The sailors rode the breeze clear of the rocks.",
"sentence2": null
}
Data Fields
task: Astringfeature, indicating the GLUE task the instance is from.sentence1: Astringfeature.sentence2: Astringfeature.label: A classification label, either 0 or 1.
Data Splits
train: 551,282 instancesvalidation: 48,564 instancestest: 404,183 instances, no classification label (same as GLUE)
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
This dataset is created by combining the cola, mrpc, qnli, qqp, rte, sst2, and wnli subsets of the GLUE dataset.
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
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Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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Contributions
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
1,004,029
Models trained or fine-tuned on MtCelesteMa/multiglue