MIT Press

Skip to Main Content

Table 1:

Data set statistics. #count is the number of documents, #words are the number of unique words in the vocabulary

V

⁠,

{\bar{w}}_{d}

and

{\bar{w}}_{l}

are the average number of words per document and label, respectively.

Data set	Documents			Labels
abbrev.	# count	# words	${\bar{w}}_{d}$	# count	${\bar{w}}_{l}$
BioASQ	11,705,534	528,156	214	26,104	35.0
DW	598,304	884,272	436	5,637	2.3
– en	112,816	110,971	516	1,385	2.1
– de	132,709	261,280	424	1,176	1.8
– es	75,827	130,661	412	843	4.7
– pt	39,474	58,849	571	396	1.8
– uk	35,423	105,240	342	288	1.7
– ru	108,076	123,493	330	916	1.8
– ar	57,697	58,922	357	435	2.4
– fa	36,282	34,856	538	198	2.5

Data set	Documents			Labels
abbrev.	# count	# words	${\bar{w}}_{d}$	# count	${\bar{w}}_{l}$
BioASQ	11,705,534	528,156	214	26,104	35.0
DW	598,304	884,272	436	5,637	2.3
– en	112,816	110,971	516	1,385	2.1
– de	132,709	261,280	424	1,176	1.8
– es	75,827	130,661	412	843	4.7
– pt	39,474	58,849	571	396	1.8
– uk	35,423	105,240	342	288	1.7
– ru	108,076	123,493	330	916	1.8
– ar	57,697	58,922	357	435	2.4
– fa	36,282	34,856	538	198	2.5