Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K<n<10K
License:
Commit
•
5939748
1
Parent(s):
02c64b3
Replace YAML keys from int to str
Browse filesReplace YAML metadata integer keys with strings, as the Hub does not support integers.
See: https://github.com/huggingface/datasets/issues/5275
README.md
CHANGED
@@ -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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92 |
num_bytes: 385090
|
|
|
1 |
---
|
2 |
annotations_creators:
|
3 |
- expert-generated
|
|
|
|
|
4 |
language_creators:
|
5 |
- expert-generated
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6 |
+
language:
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7 |
+
- en
|
8 |
license:
|
9 |
- unknown
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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
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22 |
dataset_info:
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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
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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
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42 |
+
'2': ENTY:animal
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43 |
+
'3': ENTY:body
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44 |
+
'4': ENTY:color
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45 |
+
'5': ENTY:cremat
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46 |
+
'6': ENTY:currency
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47 |
+
'7': ENTY:dismed
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48 |
+
'8': ENTY:event
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49 |
+
'9': ENTY:food
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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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60 |
+
'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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70 |
+
'30': HUM:title
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71 |
+
'31': HUM:desc
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72 |
+
'32': LOC:city
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73 |
+
'33': LOC:country
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74 |
+
'34': LOC:mount
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75 |
+
'35': LOC:other
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76 |
+
'36': LOC:state
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77 |
+
'37': NUM:code
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78 |
+
'38': NUM:count
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79 |
+
'39': NUM:date
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80 |
+
'40': NUM:dist
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+
'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
|
87 |
+
'47': NUM:temp
|
88 |
+
'48': NUM:volsize
|
89 |
+
'49': NUM:weight
|
90 |
splits:
|
91 |
- name: train
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92 |
num_bytes: 385090
|