Datasets:
Multilinguality:
translation
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
extended|sick
License:
:memo: Update documents
Browse files
README.md
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@@ -168,23 +168,23 @@ An example of looks as follows:
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A version adopting the column names of a typical NLI dataset.
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| Name | Description
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| -------------------------- |
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| id | ids (the same with original SICK) |
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| premise | first sentence in Japanese |
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| hypothesis | second sentence in Japanese |
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| label | entailment label in Japanese |
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| score | relatedness score in the range [1-5] in Japanese |
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| premise_en | first sentence in English |
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| hypothesis_en | second sentence in English |
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| label_en | original entailment label in English |
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| score_en | original relatedness score in the range [1-5] in English |
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| semtag_short | linguistic phenomena tags in Japanese |
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| semtag_long | details of linguistic phenomena tags in Japanese |
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| image_ID | original image in [8K ImageFlickr dataset](https://www.kaggle.com/datasets/adityajn105/flickr8k) |
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| original_caption | original caption in [8K ImageFlickr dataset](https://www.kaggle.com/datasets/adityajn105/flickr8k) |
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| corr_entailment_labelAB_En | corrected entailment label from A to B in English by [(Karouli et al., 2017)](http://vcvpaiva.github.io/includes/pubs/2017-iwcs.pdf) |
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| corr_entailment_labelBA_En | corrected entailment label from B to A in English by [(Karouli et al., 2017)](http://vcvpaiva.github.io/includes/pubs/2017-iwcs.pdf) |
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#### stress
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@@ -193,16 +193,16 @@ A version adopting the column names of a typical NLI dataset.
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| Name | Description |
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| --------------------------- | ------------------------------------------------------------------------------------------------- |
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| id |
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| premise | first sentence in Japanese
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| hypothesis | second sentence in Japanese
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| label | entailment label in Japanese
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| score | relatedness score in the range [1-5] in Japanese
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| sentence_A_Ja_origin |
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| entailment_label_origin |
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| relatedness_score_Ja_origin |
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| rephrase_type |
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| case_particles |
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### Data Splits
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| 168 |
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A version adopting the column names of a typical NLI dataset.
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| Name | Description |
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| 172 |
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| -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
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| id | The ids (the same with original SICK) |
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| premise | The first sentence in Japanese |
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| hypothesis | The second sentence in Japanese |
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| label | The entailment label in Japanese |
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| 177 |
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| score | The relatedness score in the range [1-5] in Japanese |
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| 178 |
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| premise_en | The first sentence in English |
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| 179 |
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| hypothesis_en | The second sentence in English |
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| label_en | The original entailment label in English |
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| score_en | The original relatedness score in the range [1-5] in English |
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| 182 |
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| semtag_short | The linguistic phenomena tags in Japanese |
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| 183 |
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| semtag_long | The details of linguistic phenomena tags in Japanese |
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| 184 |
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| image_ID | The original image in [8K ImageFlickr dataset](https://www.kaggle.com/datasets/adityajn105/flickr8k) |
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| original_caption | The original caption in [8K ImageFlickr dataset](https://www.kaggle.com/datasets/adityajn105/flickr8k) |
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| corr_entailment_labelAB_En | The corrected entailment label from A to B in English by [(Karouli et al., 2017)](http://vcvpaiva.github.io/includes/pubs/2017-iwcs.pdf) |
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| corr_entailment_labelBA_En | The corrected entailment label from B to A in English by [(Karouli et al., 2017)](http://vcvpaiva.github.io/includes/pubs/2017-iwcs.pdf) |
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#### stress
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| Name | Description |
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| --------------------------- | ------------------------------------------------------------------------------------------------- |
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| id | Ids (the same with original SICK) |
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| premise | The first sentence in Japanese. |
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| hypothesis | The second sentence in Japanese. |
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| label | The entailment label in Japanese |
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| score | The relatedness score in the range [1-5] in Japanese. |
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| sentence_A_Ja_origin | The original premise sentences A from the JSICK test set. |
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| entailment_label_origin | The original entailment labels |
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| relatedness_score_Ja_origin | The original relatedness scores |
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| rephrase_type | The type of transformation applied to the syntactic structures of the sentence pairs |
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| case_particles | The grammatical particles in Japanese that indicate the function or role of a noun in a sentence. |
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### Data Splits
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