Hugging Face's logo

Datasets:
nataliaElv
/
test_spans_dataset

Languages:
English
Size Categories:
n<1K
Tags:
rlfh
argilla
human-feedback
Dataset card Viewer Files Community
2
nataliaElv commited on
Commit
5017146
•
1 Parent(s): 5154f52

Upload argilla.yaml with huggingface_hub

Browse files
Files changed (1) hide show
  1. argilla.yaml +155 -0
argilla.yaml ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ allow_extra_metadata: true
2
+ fields:
3
+ - name: prompt
4
+ required: true
5
+ title: Prompt-(Ents)
6
+ type: text
7
+ use_markdown: false
8
+ - name: input
9
+ required: true
10
+ title: Input-(Ents)
11
+ type: text
12
+ use_markdown: false
13
+ - name: input2
14
+ required: true
15
+ title: Input-(Info Extraction)
16
+ type: text
17
+ use_markdown: false
18
+ guidelines: "\n This is a subset of the Dolly dataset with prompts classified as\
19
+ \ being Closed QA or Information Extractions tasks.\n In the record, you will\
20
+ \ find the prompt and the input of the task. In the first two fields, you will need\
21
+ \ to highlight and classify all entities found in the prompt and the input. These\
22
+ \ are marked as (Ents) for easier recognition.\n The input field is then repeated\
23
+ \ as \"Input-(Info Extraction)\". Using the \"Relevant Info\" tag, highlight all\
24
+ \ pieces of information in the input that are relevant to answer the prompt.\n \
25
+ \ Finally, you will be asked to provide a correct response following the prompt\
26
+ \ and the given input. You may submit the text as it is, if it's correct, or make\
27
+ \ any necessary amendments.\n "
28
+ metadata_properties: null
29
+ questions:
30
+ - description: null
31
+ field: prompt
32
+ labels:
33
+ - description: null
34
+ text: ANIM
35
+ value: ANIM
36
+ - description: null
37
+ text: BIO
38
+ value: BIO
39
+ - description: null
40
+ text: CEL
41
+ value: CEL
42
+ - description: null
43
+ text: DIS
44
+ value: DIS
45
+ - description: null
46
+ text: EVE
47
+ value: EVE
48
+ - description: null
49
+ text: FOOD
50
+ value: FOOD
51
+ - description: null
52
+ text: INST
53
+ value: INST
54
+ - description: null
55
+ text: LOC
56
+ value: LOC
57
+ - description: null
58
+ text: MEDIA
59
+ value: MEDIA
60
+ - description: null
61
+ text: MYTH
62
+ value: MYTH
63
+ - description: null
64
+ text: ORG
65
+ value: ORG
66
+ - description: null
67
+ text: PER
68
+ value: PER
69
+ - description: null
70
+ text: PLANT
71
+ value: PLANT
72
+ - description: null
73
+ text: TIME
74
+ value: TIME
75
+ - description: null
76
+ text: VEHI
77
+ value: VEHI
78
+ name: prompt-ents
79
+ required: true
80
+ title: 'Highlight the entities inside Prompt-(Ents):'
81
+ type: span
82
+ visible_labels: 15
83
+ - description: null
84
+ field: input
85
+ labels:
86
+ - description: null
87
+ text: ANIM
88
+ value: ANIM
89
+ - description: null
90
+ text: BIO
91
+ value: BIO
92
+ - description: null
93
+ text: CEL
94
+ value: CEL
95
+ - description: null
96
+ text: DIS
97
+ value: DIS
98
+ - description: null
99
+ text: EVE
100
+ value: EVE
101
+ - description: null
102
+ text: FOOD
103
+ value: FOOD
104
+ - description: null
105
+ text: INST
106
+ value: INST
107
+ - description: null
108
+ text: LOC
109
+ value: LOC
110
+ - description: null
111
+ text: MEDIA
112
+ value: MEDIA
113
+ - description: null
114
+ text: MYTH
115
+ value: MYTH
116
+ - description: null
117
+ text: ORG
118
+ value: ORG
119
+ - description: null
120
+ text: PER
121
+ value: PER
122
+ - description: null
123
+ text: PLANT
124
+ value: PLANT
125
+ - description: null
126
+ text: TIME
127
+ value: TIME
128
+ - description: null
129
+ text: VEHI
130
+ value: VEHI
131
+ name: input-ents
132
+ required: true
133
+ title: 'Highlight the entities inside Input-(Ents):'
134
+ type: span
135
+ visible_labels: 15
136
+ - description: null
137
+ field: input2
138
+ labels:
139
+ - description: null
140
+ text: Relevant Info
141
+ value: relevant_info
142
+ name: info-extraction
143
+ required: true
144
+ title: Highlight the information inside Input-(Info Extraction) that is relevant
145
+ to the prompt
146
+ type: span
147
+ visible_labels: null
148
+ - description: Only make the necessary corrections. You can submit the text as it
149
+ is, if it's correct.
150
+ name: final-response
151
+ required: true
152
+ title: 'Provide a correct response given the prompt and the input:'
153
+ type: text
154
+ use_markdown: false
155
+ vectors_settings: null