
# Dataset Card for ReCoRD_TH_drop

### Dataset Description
This dataset is Thai translated version of [ReCoRD](https://huggingface.co/datasets/super_glue/viewer/record) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.04307) to calculate score for Thai translation.
Drop every row that score_answers < 0.8 and every row that score < 0.5 after penalty.

task_categories:text-classification language:en language:th license:cc-by-sa-4.0 arxiv:1907.04307 region:us
{"language": ["en", "th"], "license": "cc-by-sa-4.0", "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "passage", "dtype": "string"}, {"name": "passage_TH", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "query_TH", "dtype": "string"}, {"name": "entities", "sequence": "string"}, {"name": "entities_TH", "sequence": "string"}, {"name": "entity_spans", "struct": [{"name": "end", "sequence": "int64"}, {"name": "start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}, {"name": "answers", "sequence": "string"}, {"name": "answers_TH", "sequence": "string"}, {"name": "idx", "struct": [{"name": "passage", "dtype": "int64"}, {"name": "query", "dtype": "int64"}]}, {"name": "score_passage", "dtype": "float64"}, {"name": "score_query", "dtype": "float64"}, {"name": "score_entities", "dtype": "float64"}, {"name": "score_answers", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 281547282, "num_examples": 57811}, {"name": "validation", "num_bytes": 32258456, "num_examples": 6676}], "download_size": 112999233, "dataset_size": 313805738}}
TAGS
#task_categories-text-classification #language-English #language-Thai #license-cc-by-sa-4.0 #arxiv-1907.04307 #region-us 


# Dataset Card for ReCoRD_TH_drop

### Dataset Description
This dataset is Thai translated version of ReCoRD using google translate with Multilingual Universal Sentence Encoder to calculate score for Thai translation.
Drop every row that score_answers < 0.8 and every row that score < 0.5 after penalty.

# Dataset Card for ReCoRD_TH_drop ### Dataset Description
This dataset is Thai translated version of ReCoRD using google translate with Multilingual Universal Sentence Encoder to calculate score for Thai translation.
Drop every row that score_answers < 0.8 and every row that score < 0.5 after penalty.
TAGS
#task_categories-text-classification #language-English #language-Thai #license-cc-by-sa-4.0 #arxiv-1907.04307 #region-us 
 # Dataset Card for ReCoRD_TH_drop ### Dataset Description
This dataset is Thai translated version of ReCoRD using google translate with Multilingual Universal Sentence Encoder to calculate score for Thai translation.
Drop every row that score_answers < 0.8 and every row that score < 0.5 after penalty.
passage: TAGS
#task_categories-text-classification #language-English #language-Thai #license-cc-by-sa-4.0 #arxiv-1907.04307 #region-us 
# Dataset Card for ReCoRD_TH_drop### Dataset Description
This dataset is Thai translated version of ReCoRD using google translate with Multilingual Universal Sentence Encoder to calculate score for Thai translation.
Drop every row that score_answers < 0.8 and every row that score < 0.5 after penalty.