Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K<n<10K
License:
Commit
·
fd49ef4
1
Parent(s):
02c64b3
Replace YAML keys from int to str (#3)
Browse files- Replace YAML keys from int to str (59397487f7da5d2478693cd6ac29139730607bd1)
README.md
CHANGED
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@@ -1,15 +1,14 @@
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---
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annotations_creators:
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- expert-generated
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-
language:
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-
- en
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language_creators:
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- expert-generated
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license:
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- unknown
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multilinguality:
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- monolingual
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-
pretty_name: Text Retrieval Conference Question Answering
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size_categories:
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- 1K<n<10K
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source_datasets:
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@@ -19,6 +18,7 @@ task_categories:
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task_ids:
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- multi-class-classification
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paperswithcode_id: trecqa
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dataset_info:
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features:
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- name: text
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@@ -27,66 +27,66 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: ABBR
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-
1: ENTY
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-
2: DESC
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-
3: HUM
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-
4: LOC
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-
5: NUM
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- name: fine_label
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dtype:
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class_label:
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names:
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-
0: ABBR:abb
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-
1: ABBR:exp
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-
2: ENTY:animal
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-
3: ENTY:body
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-
4: ENTY:color
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-
5: ENTY:cremat
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-
6: ENTY:currency
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-
7: ENTY:dismed
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-
8: ENTY:event
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-
9: ENTY:food
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-
10: ENTY:instru
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-
11: ENTY:lang
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-
12: ENTY:letter
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-
13: ENTY:other
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-
14: ENTY:plant
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-
15: ENTY:product
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-
16: ENTY:religion
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-
17: ENTY:sport
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-
18: ENTY:substance
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-
19: ENTY:symbol
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-
20: ENTY:techmeth
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-
21: ENTY:termeq
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-
22: ENTY:veh
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-
23: ENTY:word
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-
24: DESC:def
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-
25: DESC:desc
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-
26: DESC:manner
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-
27: DESC:reason
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-
28: HUM:gr
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-
29: HUM:ind
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-
30: HUM:title
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-
31: HUM:desc
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-
32: LOC:city
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-
33: LOC:country
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-
34: LOC:mount
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-
35: LOC:other
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-
36: LOC:state
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-
37: NUM:code
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-
38: NUM:count
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-
39: NUM:date
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-
40: NUM:dist
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-
41: NUM:money
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-
42: NUM:ord
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-
43: NUM:other
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-
44: NUM:period
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-
45: NUM:perc
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-
46: NUM:speed
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-
47: NUM:temp
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-
48: NUM:volsize
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-
49: NUM:weight
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splits:
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| 91 |
- name: train
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num_bytes: 385090
|
|
|
|
| 1 |
---
|
| 2 |
annotations_creators:
|
| 3 |
- expert-generated
|
|
|
|
|
|
|
| 4 |
language_creators:
|
| 5 |
- expert-generated
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+
language:
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+
- en
|
| 8 |
license:
|
| 9 |
- unknown
|
| 10 |
multilinguality:
|
| 11 |
- monolingual
|
|
|
|
| 12 |
size_categories:
|
| 13 |
- 1K<n<10K
|
| 14 |
source_datasets:
|
|
|
|
| 18 |
task_ids:
|
| 19 |
- multi-class-classification
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| 20 |
paperswithcode_id: trecqa
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| 21 |
+
pretty_name: Text Retrieval Conference Question Answering
|
| 22 |
dataset_info:
|
| 23 |
features:
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| 24 |
- name: text
|
|
|
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| 27 |
dtype:
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| 28 |
class_label:
|
| 29 |
names:
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| 30 |
+
'0': ABBR
|
| 31 |
+
'1': ENTY
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| 32 |
+
'2': DESC
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| 33 |
+
'3': HUM
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| 34 |
+
'4': LOC
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| 35 |
+
'5': NUM
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| 36 |
- name: fine_label
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| 37 |
dtype:
|
| 38 |
class_label:
|
| 39 |
names:
|
| 40 |
+
'0': ABBR:abb
|
| 41 |
+
'1': ABBR:exp
|
| 42 |
+
'2': ENTY:animal
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| 43 |
+
'3': ENTY:body
|
| 44 |
+
'4': ENTY:color
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| 45 |
+
'5': ENTY:cremat
|
| 46 |
+
'6': ENTY:currency
|
| 47 |
+
'7': ENTY:dismed
|
| 48 |
+
'8': ENTY:event
|
| 49 |
+
'9': ENTY:food
|
| 50 |
+
'10': ENTY:instru
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| 51 |
+
'11': ENTY:lang
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| 52 |
+
'12': ENTY:letter
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| 53 |
+
'13': ENTY:other
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| 54 |
+
'14': ENTY:plant
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| 55 |
+
'15': ENTY:product
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| 56 |
+
'16': ENTY:religion
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| 57 |
+
'17': ENTY:sport
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| 58 |
+
'18': ENTY:substance
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| 59 |
+
'19': ENTY:symbol
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+
'20': ENTY:techmeth
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| 61 |
+
'21': ENTY:termeq
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| 62 |
+
'22': ENTY:veh
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| 63 |
+
'23': ENTY:word
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| 64 |
+
'24': DESC:def
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| 65 |
+
'25': DESC:desc
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| 66 |
+
'26': DESC:manner
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| 67 |
+
'27': DESC:reason
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| 68 |
+
'28': HUM:gr
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| 69 |
+
'29': HUM:ind
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+
'30': HUM:title
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+
'31': HUM:desc
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+
'32': LOC:city
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| 73 |
+
'33': LOC:country
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+
'34': LOC:mount
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+
'35': LOC:other
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+
'36': LOC:state
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+
'37': NUM:code
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+
'38': NUM:count
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| 79 |
+
'39': NUM:date
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+
'40': NUM:dist
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| 81 |
+
'41': NUM:money
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| 82 |
+
'42': NUM:ord
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| 83 |
+
'43': NUM:other
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| 84 |
+
'44': NUM:period
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| 85 |
+
'45': NUM:perc
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| 86 |
+
'46': NUM:speed
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| 87 |
+
'47': NUM:temp
|
| 88 |
+
'48': NUM:volsize
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| 89 |
+
'49': NUM:weight
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| 90 |
splits:
|
| 91 |
- name: train
|
| 92 |
num_bytes: 385090
|