Datasets:
Tasks:
intent-classification
Task Categories:
text-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Licenses:
other
Dataset Preview
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| id (int32) | Date (string) | Query (string) | IsImplicitIntent (string) | Country (string) | PopularityScore (int32) |
|---|---|---|---|---|---|
1
| "2020-09-01"
| "coronavirus worldometer"
| "False"
| "Romania"
| 3
|
2
| "2020-09-01"
| "scdhec"
| "True"
| "United States"
| 1
|
3
| "2020-09-01"
| "n95 mask coronavirus"
| "False"
| "United States"
| 1
|
4
| "2020-09-01"
| "parcelamento fgts mp 927"
| "True"
| "Brazil"
| 28
|
5
| "2020-09-01"
| "coronavirus colombia"
| "False"
| "United States"
| 1
|
6
| "2020-09-01"
| "covid update"
| "False"
| "New Zealand"
| 4
|
7
| "2020-09-01"
| "confinement france"
| "True"
| "France"
| 1
|
8
| "2020-09-01"
| "covid alabama"
| "False"
| "United States"
| 1
|
9
| "2020-09-01"
| "ffcra leave"
| "True"
| "United States"
| 1
|
10
| "2020-09-01"
| "is there a covid 19 vaccine"
| "False"
| "United States"
| 1
|
11
| "2020-09-01"
| "german coronavirus"
| "False"
| "United States"
| 1
|
12
| "2020-09-01"
| "gesundheitsamt würzburg"
| "True"
| "Germany"
| 1
|
13
| "2020-09-01"
| "johns hopkins coronavirus map"
| "False"
| "France"
| 1
|
14
| "2020-09-01"
| "positivity rate by state"
| "True"
| "United States"
| 1
|
15
| "2020-09-01"
| "direct ferries uk"
| "True"
| "United Kingdom"
| 1
|
16
| "2020-09-01"
| "droit de retrait coronavirus"
| "False"
| "France"
| 1
|
17
| "2020-09-01"
| "italie"
| "True"
| "France"
| 1
|
18
| "2020-09-01"
| "local coronavirus figures"
| "False"
| "United Kingdom"
| 1
|
19
| "2020-09-01"
| "coronavirus france"
| "False"
| "Canada"
| 1
|
20
| "2020-09-01"
| "covid act now"
| "False"
| "United States"
| 1
|
21
| "2020-09-01"
| "pcr covid"
| "False"
| "Brazil"
| 1
|
22
| "2020-09-01"
| "coronavirus colorado"
| "False"
| "United States"
| 1
|
23
| "2020-09-01"
| "covid update nz"
| "False"
| "New Zealand"
| 2
|
24
| "2020-09-01"
| "コロナウイルス 症状"
| "False"
| "Japan"
| 1
|
25
| "2020-09-01"
| "protocole sanitaire entreprise"
| "True"
| "France"
| 2
|
26
| "2020-09-01"
| "test covid bordeaux"
| "False"
| "France"
| 1
|
27
| "2020-09-01"
| "diarrhoea"
| "True"
| "United Kingdom"
| 1
|
28
| "2020-09-01"
| "is there a cure for the coronavirus"
| "False"
| "United States"
| 1
|
29
| "2020-09-01"
| "gesundheitsministerium hessen"
| "True"
| "Germany"
| 1
|
30
| "2020-09-01"
| "covid 6% cdc"
| "False"
| "United States"
| 1
|
31
| "2020-09-01"
| "hamilton county health department"
| "True"
| "United States"
| 1
|
32
| "2020-09-01"
| "ace2"
| "True"
| "United States"
| 1
|
33
| "2020-09-01"
| "sintomi covid19"
| "False"
| "Italy"
| 2
|
34
| "2020-09-01"
| "diabetes uk"
| "True"
| "United Kingdom"
| 4
|
35
| "2020-09-01"
| "state of washington coronavirus"
| "False"
| "United States"
| 1
|
36
| "2020-09-01"
| "cdc numbers covid"
| "False"
| "United States"
| 1
|
37
| "2020-09-01"
| "n95 mask"
| "True"
| "United States"
| 1
|
38
| "2020-09-01"
| "quais os sintomas do covid 19"
| "False"
| "Brazil"
| 1
|
39
| "2020-09-01"
| "coronavirus count"
| "False"
| "United States"
| 1
|
40
| "2020-09-01"
| "covid worldometer"
| "False"
| "New Zealand"
| 2
|
41
| "2020-09-01"
| "is there a vaccine for coronavirus"
| "False"
| "United States"
| 1
|
42
| "2020-09-01"
| "estadísticas covid 19 méxico"
| "False"
| "Mexico"
| 1
|
43
| "2020-09-01"
| "covid 6%"
| "False"
| "United States"
| 1
|
44
| "2020-09-01"
| "deco"
| "True"
| "Italy"
| 1
|
45
| "2020-09-01"
| "brainpop coronavirus"
| "False"
| "United States"
| 1
|
46
| "2020-09-01"
| "grammer ag intranet: coronavirus news"
| "False"
| "Germany"
| 1
|
47
| "2020-09-01"
| "confinement"
| "True"
| "France"
| 1
|
48
| "2020-09-01"
| "pandemia covid 19"
| "False"
| "Italy"
| 1
|
49
| "2020-09-01"
| "pa covid cases"
| "False"
| "United States"
| 1
|
50
| "2020-09-01"
| "dfe"
| "True"
| "United Kingdom"
| 2
|
51
| "2020-09-01"
| "best face masks for coronavirus ncov"
| "False"
| "United States"
| 1
|
52
| "2020-09-01"
| "virus update uk"
| "True"
| "United Kingdom"
| 1
|
53
| "2020-09-01"
| "curevac"
| "True"
| "United States"
| 1
|
54
| "2020-09-01"
| "masque coronavirus"
| "False"
| "Belgium"
| 1
|
55
| "2020-09-01"
| "rainha elizabeth"
| "True"
| "Brazil"
| 2
|
56
| "2020-09-01"
| "coronavirus counts"
| "False"
| "United States"
| 1
|
57
| "2020-09-01"
| "bonus pc covid"
| "False"
| "Italy"
| 1
|
58
| "2020-09-01"
| "santa clara county coronavirus dashboard"
| "False"
| "United States"
| 1
|
59
| "2020-09-01"
| "covid 6 percent"
| "False"
| "United States"
| 1
|
60
| "2020-09-01"
| "covid19 victoria"
| "False"
| "Australia"
| 1
|
61
| "2020-09-01"
| "breathing exercises"
| "True"
| "United States"
| 1
|
62
| "2020-09-01"
| "dfds ferries"
| "True"
| "United Kingdom"
| 1
|
63
| "2020-09-01"
| "gran canaria coronavirus"
| "False"
| "Germany"
| 1
|
64
| "2020-09-01"
| "n95 face masks"
| "True"
| "United States"
| 1
|
65
| "2020-09-01"
| "texas covid 19"
| "False"
| "United States"
| 1
|
66
| "2020-09-01"
| "doug ford"
| "True"
| "Canada"
| 6
|
67
| "2020-09-01"
| "cdc coronavirus update"
| "False"
| "United States"
| 14
|
68
| "2020-09-01"
| "covid 20"
| "False"
| "United States"
| 1
|
69
| "2020-09-01"
| "sardinia coronavirus"
| "False"
| "United Kingdom"
| 1
|
70
| "2020-09-01"
| "accd.vermont gov"
| "True"
| "United States"
| 1
|
71
| "2020-09-01"
| "covid19"
| "False"
| "New Zealand"
| 7
|
72
| "2020-09-01"
| "saque emergencial fgts"
| "True"
| "Brazil"
| 10
|
73
| "2020-09-01"
| "coronavirus covid 19 vaccine"
| "False"
| "United States"
| 1
|
74
| "2020-09-01"
| "is throwing up a symptom of coronavirus"
| "False"
| "United States"
| 1
|
75
| "2020-09-01"
| "covid canada update"
| "False"
| "Canada"
| 2
|
76
| "2020-09-01"
| "dettol spray"
| "True"
| "United Kingdom"
| 1
|
77
| "2020-09-01"
| "ffcra poster"
| "True"
| "United States"
| 1
|
78
| "2020-09-01"
| "n95 8511 coronavirus"
| "False"
| "United States"
| 1
|
79
| "2020-09-01"
| "covid carte france"
| "False"
| "France"
| 1
|
80
| "2020-09-01"
| "gran canaria coronavirus aktuell"
| "False"
| "Germany"
| 1
|
81
| "2020-09-01"
| "combien de cas de coronavirus en france"
| "False"
| "France"
| 1
|
82
| "2020-09-01"
| "sowerbys holiday cottages"
| "True"
| "United Kingdom"
| 1
|
83
| "2020-09-01"
| "senate republicans coronavirus stimulus bill"
| "False"
| "United States"
| 1
|
84
| "2020-09-01"
| "guido kaczka coronavirus"
| "False"
| "Argentina"
| 1
|
85
| "2020-09-01"
| "covid 2"
| "False"
| "United States"
| 1
|
86
| "2020-09-01"
| "tyee middle school"
| "True"
| "United States"
| 1
|
87
| "2020-09-01"
| "ontario covid 19"
| "False"
| "Canada"
| 3
|
88
| "2020-09-01"
| "coronavirus death toll"
| "False"
| "Canada"
| 1
|
89
| "2020-09-01"
| "ses rs"
| "True"
| "Brazil"
| 1
|
90
| "2020-09-01"
| "coronavirus covid-19"
| "False"
| "United States"
| 1
|
91
| "2020-09-01"
| "dettol"
| "True"
| "United Kingdom"
| 1
|
92
| "2020-09-01"
| "protocole sanitaire ecole"
| "True"
| "France"
| 1
|
93
| "2020-09-01"
| "bolsonaro"
| "True"
| "Germany"
| 1
|
94
| "2020-09-01"
| "covid19 nz"
| "False"
| "New Zealand"
| 2
|
95
| "2020-09-01"
| "coronavirus statistics australia"
| "False"
| "Australia"
| 1
|
96
| "2020-09-01"
| "coronavirus salamanca"
| "False"
| "Spain"
| 1
|
97
| "2020-09-01"
| "h1n1 coronavirus"
| "False"
| "Germany"
| 1
|
98
| "2020-09-01"
| "covid 19.ca.gov"
| "False"
| "United States"
| 1
|
99
| "2020-09-01"
| "coronavirus mallorca"
| "False"
| "Spain"
| 1
|
100
| "2020-09-01"
| "aberdeen proving grounds maryland"
| "True"
| "United States"
| 1
|
End of preview (truncated to 100
rows)
Dataset Card for BingCoronavirusQuerySet
Dataset Summary
Please note that you can specify the start and end date of the data. You can get start and end dates from here: https://github.com/microsoft/BingCoronavirusQuerySet/tree/master/data/2020
example:
load_dataset("bing_coronavirus_query_set", queries_by="state", start_date="2020-09-01", end_date="2020-09-30")
You can also load the data by country by using queries_by="country".
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
[More Information Needed]
Initial Data Collection and Normalization
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Who are the source language producers?
[More Information Needed]
Annotations
[More Information Needed]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
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Contributions
Thanks to @abhishekkrthakur for adding this dataset.