# Dataset Card for "commonsense_qa_retrieved_by_colbert"

This is the validation set of [CSQA](https://huggingface.co/datasets/commonsense_qa/viewer/default/validation), with each question retrieved from [ColBERT v2](https://github.com/stanford-futuredata/ColBERT/tree/main) trained on MS MARCO Passage Ranking (`https://downloads.cs.stanford.edu/nlp/data/colbert/colbertv2/colbertv2.0.tar.gz`).

We index the question part of the train set using doc_maxlen=30, nbits=2. We search each question of validation set with k=10 and put the results in the `retrieved` column.
region:us
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_concept", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "label", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}, {"name": "retrieved", "list": [{"name": "answerKey", "dtype": "string"}, {"name": "choices", "struct": [{"name": "label", "sequence": "string"}, {"name": "text", "sequence": "string"}]}, {"name": "passage", "dtype": "string"}, {"name": "rank", "dtype": "int64"}, {"name": "score", "dtype": "float64"}]}], "splits": [{"name": "validation", "num_bytes": 2646054, "num_examples": 1221}], "download_size": 755467, "dataset_size": 2646054}}
TAGS
#region-us 

# Dataset Card for "commonsense_qa_retrieved_by_colbert"

This is the validation set of CSQA, with each question retrieved from ColBERT v2 trained on MS MARCO Passage Ranking ('URL

We index the question part of the train set using doc_maxlen=30, nbits=2. We search each question of validation set with k=10 and put the results in the 'retrieved' column.
# Dataset Card for "commonsense_qa_retrieved_by_colbert"

This is the validation set of CSQA, with each question retrieved from ColBERT v2 trained on MS MARCO Passage Ranking ('URL

We index the question part of the train set using doc_maxlen=30, nbits=2. We search each question of validation set with k=10 and put the results in the 'retrieved' column.
TAGS
#region-us 
 # Dataset Card for "commonsense_qa_retrieved_by_colbert"

This is the validation set of CSQA, with each question retrieved from ColBERT v2 trained on MS MARCO Passage Ranking ('URL

We index the question part of the train set using doc_maxlen=30, nbits=2. We search each question of validation set with k=10 and put the results in the 'retrieved' column.
passage: TAGS
#region-us 
# Dataset Card for "commonsense_qa_retrieved_by_colbert"

This is the validation set of CSQA, with each question retrieved from ColBERT v2 trained on MS MARCO Passage Ranking ('URL

We index the question part of the train set using doc_maxlen=30, nbits=2. We search each question of validation set with k=10 and put the results in the 'retrieved' column.