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pietrolesci
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recast_white

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dpr · 3.66k rows

provenance stringclasses 1 value	index int64 0 3.66k	text stringlengths 28 202	hypothesis stringlengths 30 216	partof stringclasses 3 values	hypothesis_grammatical stringclasses 3 values	judgement_valid stringclasses 3 values	label class label 0 1
schema-challenge	0	The bee landed on the flower because it had pollen .	The bee landed on the flower because the bee had pollen .	train			0not-entailed
schema-challenge	1	The bee landed on the flower because it had pollen .	The bee landed on the flower because the flower had pollen .	train			1entailed
schema-challenge	2	The bee landed on the flower because it wanted pollen .	The bee landed on the flower because the bee wanted pollen .	train			1entailed
schema-challenge	3	The bee landed on the flower because it wanted pollen .	The bee landed on the flower because the flower wanted pollen .	train			0not-entailed
schema-challenge	4	When Debbie splashed Tina, she got in trouble .	When Debbie splashed Tina , Debbie got in trouble .	train			1entailed
schema-challenge	5	When Debbie splashed Tina, she got in trouble .	When Debbie splashed Tina , Tina got in trouble .	train			0not-entailed
schema-challenge	6	When Debbie splashed Tina, she got wet .	When Debbie splashed Tina , Debbie got wet .	train			0not-entailed
schema-challenge	7	When Debbie splashed Tina, she got wet .	When Debbie splashed Tina , Tina got wet .	train			1entailed
schema-challenge	8	The bus driver yelled at a kid after she drove her vehicle .	The bus driver yelled at a kid after the bus driver drove her vehicle .	train			1entailed
schema-challenge	9	The bus driver yelled at a kid after she drove her vehicle .	The bus driver yelled at a kid after the kid drove her vehicle .	train			0not-entailed
schema-challenge	10	The bus driver yelled at a kid after she broke a window .	The bus driver yelled at a kid after the bus driver broke a window .	train			0not-entailed
schema-challenge	11	The bus driver yelled at a kid after she broke a window .	The bus driver yelled at a kid after the kid broke a window .	train			1entailed
schema-challenge	12	Jimbo was running from Bobbert because he smelled awful .	Jimbo was running from Bobbert because Jimbo smelled awful .	train			0not-entailed
schema-challenge	13	Jimbo was running from Bobbert because he smelled awful .	Jimbo was running from Bobbert because Bobbert smelled awful .	train			1entailed
schema-challenge	14	Jimbo was running from Bobbert because he wanted to get to the car first .	Jimbo was running from Bobbert because Jimbo wanted to get to the car first .	train			1entailed
schema-challenge	15	Jimbo was running from Bobbert because he wanted to get to the car first .	Jimbo was running from Bobbert because Bobbert wanted to get to the car first .	train			0not-entailed
schema-challenge	16	Jimbo attacked Bobbert because he stole an elephant from the zoo .	Jimbo attacked Bobbert because Jimbo stole an elephant from the zoo .	train			0not-entailed
schema-challenge	17	Jimbo attacked Bobbert because he stole an elephant from the zoo .	Jimbo attacked Bobbert because Bobbert stole an elephant from the zoo .	train			1entailed
schema-challenge	18	Jimbo attacked Bobbert because he could not control his rage .	Jimbo attacked Bobbert because Jimbo could not control his rage .	train			1entailed
schema-challenge	19	Jimbo attacked Bobbert because he could not control his rage .	Jimbo attacked Bobbert because Bobbert could not control his rage .	train			0not-entailed
schema-challenge	20	Jimbo was afraid of Bobbert because she gets scared around new people .	Jimbo was afraid of Bobbert because Jimbo gets scared around new people .	train			1entailed
schema-challenge	21	Jimbo was afraid of Bobbert because she gets scared around new people .	Jimbo was afraid of Bobbert because Bobbert gets scared around new people .	train			0not-entailed
schema-challenge	22	Jimbo was afraid of Bobbert because she was running around with a bloody spear .	Jimbo was afraid of Bobbert because Jimbo was running around with a bloody spear .	train			0not-entailed
schema-challenge	23	Jimbo was afraid of Bobbert because she was running around with a bloody spear .	Jimbo was afraid of Bobbert because Bobbert was running around with a bloody spear .	train			1entailed
schema-challenge	24	The man stole the neighbor's bike because he needed one .	The man stole the neighbor 's bike because the man needed one .	train			1entailed
schema-challenge	25	The man stole the neighbor's bike because he needed one .	The man stole the neighbor 's bike because the neighbor needed one .	train			0not-entailed
schema-challenge	26	The man stole the neighbor's bike because he had one extra .	The man stole the neighbor 's bike because the man had one extra .	train			0not-entailed
schema-challenge	27	The man stole the neighbor's bike because he had one extra .	The man stole the neighbor 's bike because the neighbor had one extra .	train	Yes	Yes	1entailed
schema-challenge	28	The bird ate the pie and it died .	The bird ate the pie and the bird died .	train			1entailed
schema-challenge	29	The bird ate the pie and it died .	The bird ate the pie and the pie died .	train			0not-entailed
schema-challenge	30	The bird ate the pie and it was ruined .	The bird ate the pie and the bird was ruined .	train			0not-entailed
schema-challenge	31	The bird ate the pie and it was ruined .	The bird ate the pie and the pie was ruined .	train			1entailed
schema-challenge	32	The bird perched on the limb and it bent .	The bird perched on the limb and the bird bent .	train			0not-entailed
schema-challenge	33	The bird perched on the limb and it bent .	The bird perched on the limb and the limb bent .	train			1entailed
schema-challenge	34	The bird perched on the limb and it sang .	The bird perched on the limb and the bird sang .	train			1entailed
schema-challenge	35	The bird perched on the limb and it sang .	The bird perched on the limb and the limb sang .	train			0not-entailed
schema-challenge	36	Mary cleaned Susan's room and she was thankful .	Mary cleaned Susan 's room and Mary was thankful .	train			0not-entailed
schema-challenge	37	Mary cleaned Susan's room and she was thankful .	Mary cleaned Susan 's room and Susan was thankful .	train			1entailed
schema-challenge	38	Mary cleaned Susan's room and she asked a favor .	Mary cleaned Susan 's room and Mary asked a favor .	train			1entailed
schema-challenge	39	Mary cleaned Susan's room and she asked a favor .	Mary cleaned Susan 's room and Susan asked a favor .	train			0not-entailed
schema-challenge	40	Mary stabbed Jennifer, so John took her to the hospital .	Mary stabbed Jennifer , so John took Mary to the hospital .	train			0not-entailed
schema-challenge	41	Mary stabbed Jennifer, so John took her to the hospital .	Mary stabbed Jennifer , so John took Jennifer to the hospital .	train			1entailed
schema-challenge	42	Mary stabbed Jennifer, so John reported her to the police .	Mary stabbed Jennifer , so John reported Mary to the police .	train			1entailed
schema-challenge	43	Mary stabbed Jennifer, so John reported her to the police .	Mary stabbed Jennifer , so John reported Jennifer to the police .	train			0not-entailed
schema-challenge	44	Lions eat zebras because they are predators .	Lions eat zebras because Lions are predators .	train			1entailed
schema-challenge	45	Lions eat zebras because they are predators .	Lions eat zebras because zebras are predators .	train			0not-entailed
schema-challenge	46	Lions eat zebras because they are meaty .	Lions eat zebras because Lions are meaty .	train			0not-entailed
schema-challenge	47	Lions eat zebras because they are meaty .	Lions eat zebras because zebras are meaty .	train			1entailed
schema-challenge	48	The coach criticized the player because he did not adhere to the team's formation .	The coach criticized the player because the coach did not adhere to the team 's formation .	train			0not-entailed
schema-challenge	49	The coach criticized the player because he did not adhere to the team's formation .	The coach criticized the player because the player did not adhere to the team 's formation .	train			1entailed
schema-challenge	50	The coach criticized the player because he explicitly told everyone not to break the team's formation .	The coach criticized the player because the coach explicitly told everyone not to break the team 's formation .	train			1entailed
schema-challenge	51	The coach criticized the player because he explicitly told everyone not to break the team's formation .	The coach criticized the player because the player explicitly told everyone not to break the team 's formation .	train			0not-entailed
schema-challenge	52	The academic clubs lost their members because they were poorly funded .	The academic clubs lost their members because the academic clubs were poorly funded .	train			1entailed
schema-challenge	53	The academic clubs lost their members because they were poorly funded .	The academic clubs lost their members because their members were poorly funded .	train			0not-entailed
schema-challenge	54	The academic clubs lost their members because they did not have free time .	The academic clubs lost their members because the academic clubs did not have free time .	train			0not-entailed
schema-challenge	55	The academic clubs lost their members because they did not have free time .	The academic clubs lost their members because their members did not have free time .	train			1entailed
schema-challenge	56	James asked Robert for a favor, but he refused .	James asked Robert for a favor , but James refused .	train			0not-entailed
schema-challenge	57	James asked Robert for a favor, but he refused .	James asked Robert for a favor , but Robert refused .	train			1entailed
schema-challenge	58	James asked Robert for a favor, but he was refused .	James asked Robert for a favor , but James was refused .	train	Yes	Yes	1entailed
schema-challenge	59	James asked Robert for a favor, but he was refused .	James asked Robert for a favor , but Robert was refused .	train			0not-entailed
schema-challenge	60	The teacher did not recommend William because he was not a good student .	The teacher did not recommend William because the teacher was not a good student .	train			0not-entailed
schema-challenge	61	The teacher did not recommend William because he was not a good student .	The teacher did not recommend William because William was not a good student .	train			1entailed
schema-challenge	62	The teacher did not recommend William because he had high standards .	The teacher did not recommend William because the teacher had high standards .	train			1entailed
schema-challenge	63	The teacher did not recommend William because he had high standards .	The teacher did not recommend William because William had high standards .	train			0not-entailed
schema-challenge	64	The doctor told Susan that she had cancer .	The doctor told Susan that the doctor had cancer .	train			0not-entailed
schema-challenge	65	The doctor told Susan that she had cancer .	The doctor told Susan that Susan had cancer .	train			1entailed
schema-challenge	66	The doctor told Susan that she had been busy .	The doctor told Susan that the doctor had been busy .	train			1entailed
schema-challenge	67	The doctor told Susan that she had been busy .	The doctor told Susan that Susan had been busy .	train			0not-entailed
schema-challenge	68	The professor grading the student's paper said that he was stupid .	The professor grading the student 's paper said that the professor was stupid .	train	Yes	Yes	0not-entailed
schema-challenge	69	The professor grading the student's paper said that he was stupid .	The professor grading the student 's paper said that the student was stupid .	train			1entailed
schema-challenge	70	The professor grading the student's paper said that he loved it .	The professor grading the student 's paper said that the professor loved it .	train			1entailed
schema-challenge	71	The professor grading the student's paper said that he loved it .	The professor grading the student 's paper said that the student loved it .	train			0not-entailed
schema-challenge	72	Jeremy annoyed Justin so he can leave the room .	Jeremy annoyed Justin so Jeremy can leave the room .	train			0not-entailed
schema-challenge	73	Jeremy annoyed Justin so he can leave the room .	Jeremy annoyed Justin so Justin can leave the room .	train			1entailed
schema-challenge	74	Jeremy annoyed Justin so he can have the room .	Jeremy annoyed Justin so Jeremy can have the room .	train			1entailed
schema-challenge	75	Jeremy annoyed Justin so he can have the room .	Jeremy annoyed Justin so Justin can have the room .	train			0not-entailed
schema-challenge	76	Paula liked Ness more than Pokey because he was nice to her .	Paula liked Ness more than Pokey because Ness was nice to her .	train			1entailed
schema-challenge	77	Paula liked Ness more than Pokey because he was nice to her .	Paula liked Ness more than Pokey because pokey was nice to her .	train			0not-entailed
schema-challenge	78	Paula liked Ness more than Pokey because he was mean to her .	Paula liked Ness more than Pokey because Ness was mean to her .	train			0not-entailed
schema-challenge	79	Paula liked Ness more than Pokey because he was mean to her .	Paula liked Ness more than Pokey because pokey was mean to her .	train			1entailed
schema-challenge	80	Rocky lost to Clubber Lang because he was not ready for the fight .	Rocky lost to Clubber Lang because Rocky was not ready for the fight .	train			1entailed
schema-challenge	81	Rocky lost to Clubber Lang because he was not ready for the fight .	Rocky lost to Clubber Lang because Clubber Lang was not ready for the fight .	train			0not-entailed
schema-challenge	82	Rocky lost to Clubber Lang because he was ready for the fight .	Rocky lost to Clubber Lang because Rocky was ready for the fight .	train			0not-entailed
schema-challenge	83	Rocky lost to Clubber Lang because he was ready for the fight .	Rocky lost to Clubber Lang because Clubber Lang was ready for the fight .	train			1entailed
schema-challenge	84	Aaron kissed Dan because he wanted to .	Aaron kissed Dan because Aaron wanted to .	train			1entailed
schema-challenge	85	Aaron kissed Dan because he wanted to .	Aaron kissed Dan because Dan wanted to .	train			0not-entailed
schema-challenge	86	Aaron kissed Dan because he wanted him to .	Aaron kissed Dan because Aaron wanted him to .	train			0not-entailed
schema-challenge	87	Aaron kissed Dan because he wanted him to .	Aaron kissed Dan because Dan wanted him to .	train			1entailed
schema-challenge	88	The students fell asleep during the professor's lectures because they were boring .	The students fell asleep during the professor 's lectures because the students were boring .	train			0not-entailed
schema-challenge	89	The students fell asleep during the professor's lectures because they were boring .	The students fell asleep during the professor 's lectures because the professor 's lectures were boring .	train			1entailed
schema-challenge	90	The students fell asleep during the professor's lectures because they were bored .	The students fell asleep during the professor 's lectures because the students were bored .	train			1entailed
schema-challenge	91	The students fell asleep during the professor's lectures because they were bored .	The students fell asleep during the professor 's lectures because the professor 's lectures were bored .	train			0not-entailed
schema-challenge	92	Derrick begged his boss for a raise but he did not get one .	Derrick begged his boss for a raise but the derrick did not get one .	train			1entailed
schema-challenge	93	Derrick begged his boss for a raise but he did not get one .	Derrick begged his boss for a raise but the his boss did not get one .	train			0not-entailed
schema-challenge	94	Derrick begged his boss for a raise but he did not give one .	Derrick begged his boss for a raise but the derrick did not give one .	train			0not-entailed
schema-challenge	95	Derrick begged his boss for a raise but he did not give one .	Derrick begged his boss for a raise but the his boss did not give one .	train			1entailed
schema-challenge	96	The jurors deliberated on the defendants' fate for hours, but they did not reach a verdict .	The jurors deliberated on the defendants ' fate for hours , but the jurors did not reach a verdict .	train			1entailed
schema-challenge	97	The jurors deliberated on the defendants' fate for hours, but they did not reach a verdict .	The jurors deliberated on the defendants ' fate for hours , but the defendants did not reach a verdict .	train			0not-entailed
schema-challenge	98	The jurors deliberated on the defendants' fate for hours, but they didn't receive the death penalty .	The jurors deliberated on the defendants ' fate for hours , but the jurors did n't receive the death penalty .	train			0not-entailed
schema-challenge	99	The jurors deliberated on the defendants' fate for hours, but they didn't receive the death penalty .	The jurors deliberated on the defendants ' fate for hours , but the defendants did n't receive the death penalty .	train			1entailed

End of preview. Expand in Data Studio

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Overview

This dataset has been introduced by "Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework", Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme. IJCNLP, 2017. Original data available here.

Dataset curation

The following processing is applied

hypothesis_grammatical and judgement_valid columns are filled with "" when empty
all columns are stripped
the entailed column is renamed label
label column is encoded with the following mapping {"not-entailed": 0, "entailed": 1}
columns rating and good_word are dropped from fnplus dataset

Code to generate the dataset

import pandas as pd
from datasets import Features, Value, ClassLabel, Dataset, DatasetDict


ds = {}
for name in ("fnplus", "sprl", "dpr"):

    # read data
    with open(f"<path to files>/{name}_data.txt", "r") as f:
        data = f.read()
    data = data.split("\n\n")
    data = [lines.split("\n") for lines in data]
    data = [dict([col.split(":", maxsplit=1) for col in line if len(col) > 0]) for line in data]
    df = pd.DataFrame(data)

    # fill empty hypothesis_grammatical and judgement_valid
    df["hypothesis_grammatical"] = df["hypothesis_grammatical"].fillna("")
    df["judgement_valid"] = df["judgement_valid"].fillna("")

    # fix dtype
    df["index"] = df["index"].astype(int)

    # strip
    for col in df.select_dtypes(object).columns:
        df[col] = df[col].str.strip()

    # rename columns
    df = df.rename(columns={"entailed": "label"})

    # encode labels
    df["label"] = df["label"].map({"not-entailed": 0, "entailed": 1})

    # cast to dataset
    features = Features({
        "provenance": Value(dtype="string", id=None),
        "index": Value(dtype="int64", id=None),
        "text": Value(dtype="string", id=None),
        "hypothesis": Value(dtype="string", id=None),
        "partof": Value(dtype="string", id=None),
        "hypothesis_grammatical": Value(dtype="string", id=None),
        "judgement_valid": Value(dtype="string", id=None),
        "label": ClassLabel(num_classes=2, names=["not-entailed", "entailed"]),
    })

    # select common columns
    df = df.loc[:, list(features.keys())]
    ds[name] = Dataset.from_pandas(df, features=features)

ds = DatasetDict(ds)
ds.push_to_hub("recast_white", token="<token>")

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Size of downloaded dataset files:

30.6 MB

Size of the auto-converted Parquet files:

30.6 MB

Number of rows:

312,875

Models trained or fine-tuned on pietrolesci/recast_white

Collection including pietrolesci/recast_white

NLI Eval Datasets

Collection

A curated collection of NLI evaluation datasets. Each dataset is exactly as originally proposed • 19 items • Updated Mar 20 • 3