--Inférence de langage naturel standard [^ 1]
| Text | Judgments | Hypothesis |
|---|---|---|
| A man inspects the uniform of a figure in some East Asian country. | contradiction | The man is sleeping |
| An older and younger man smiling. | neutral | Two men are smiling and laughing at the cats playing on the floor. |
| A black race car starts up in front of a crowd of people. | contradiction | A man is driving down a lonely road. |
| A soccer game with multiple males playing. | entailment | Some men are playing a sport. |
| A smiling costumed woman is holding an umbrella. | neutral | A happy woman in a fairy costume holds an umbrella. |
--Nombre de données: 570 000 au total
--Il existe également des données d'analyse syntaxique au format suivant.
{
"annotator_labels": ["neutral"],
"captionID": "3416050480.jpg#4",
"gold_label": "neutral",
"pairID": "3416050480.jpg#4r1n",
"sentence1": "A person on a horse jumps over a broken down airplane.",
"sentence1_binary_parse": "( ( ( A person ) ( on ( a horse ) ) ) ( ( jumps ( over ( a ( broken ( down airplane ) ) ) ) ) . ) )",
"sentence1_parse": "(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN on) (NP (DT a) (NN horse)))) (VP (VBZ jumps) (PP (IN over) (NP (DT a) (JJ broken) (JJ down) (NN airplane)))) (. .)))",
"sentence2": "A person is training his horse for a competition.",
"sentence2_binary_parse": "( ( A person ) ( ( is ( ( training ( his horse ) ) ( for ( a competition ) ) ) ) . ) )",
"sentence2_parse": "(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG training) (NP (PRP$ his) (NN horse)) (PP (IN for) (NP (DT a) (NN competition))))) (. .)))"
}
Vous pouvez le télécharger depuis The Stanford Natural Language Inference (SNLI) Corpus.
wget https://nlp.stanford.edu/projects/snli/snli_1.0.zip
unzip snli_1.0.zip
Les données sont stockées au format json (.jsonl) et tsv (.txt).
import pandas as pd
df = pd.read_csv("snli_1.0/snli_1.0_train.txt", sep="\t")
References
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