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Datasets:
hpprc
/
jsick

Tasks:
Sentence Similarity
Text Classification
Modalities:
Tabular
Text
Sub-tasks:
natural-language-inference
semantic-similarity-scoring
Languages:
Japanese
English
Size:
10K - 100K
Tags:
semantic-textual-similarity
sts
Libraries:
Datasets
License:
Dataset card Viewer Files Community
hpprc commited on
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  1. README.md +27 -27
README.md CHANGED
@@ -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
@@ -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 | 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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- | 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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  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 | 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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+ | score | The relatedness score in the range [1-5] in Japanese |
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+ | premise_en | The first sentence in English |
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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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+ | semtag_short | The linguistic phenomena tags in Japanese |
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+ | semtag_long | The details of linguistic phenomena tags in Japanese |
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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