Hugging Face's logo

Datasets:
yjernite
/
prof_report__andite-anything-v4.0__multi__24

Tags:
Dataset card Viewer Files Community
yjernite HF staff commited on
Commit
b699add
•
1 Parent(s): 6b1b13b

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +240 -0
README.md ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ dataset_info:
3
+ features:
4
+ - name: cluster_id
5
+ dtype: int64
6
+ - name: cluster_size
7
+ dtype: int64
8
+ - name: img_ids
9
+ sequence: int64
10
+ - name: img_cluster_scores
11
+ sequence: float64
12
+ splits:
13
+ - name: accountant
14
+ num_bytes: 1744
15
+ num_examples: 6
16
+ - name: aerospace_engineer
17
+ num_bytes: 1672
18
+ num_examples: 3
19
+ - name: aide
20
+ num_bytes: 1720
21
+ num_examples: 5
22
+ - name: air_conditioning_installer
23
+ num_bytes: 1792
24
+ num_examples: 8
25
+ - name: architect
26
+ num_bytes: 1720
27
+ num_examples: 5
28
+ - name: artist
29
+ num_bytes: 1720
30
+ num_examples: 5
31
+ - name: author
32
+ num_bytes: 1720
33
+ num_examples: 5
34
+ - name: baker
35
+ num_bytes: 1792
36
+ num_examples: 8
37
+ - name: bartender
38
+ num_bytes: 1744
39
+ num_examples: 6
40
+ - name: bus_driver
41
+ num_bytes: 1720
42
+ num_examples: 5
43
+ - name: butcher
44
+ num_bytes: 1768
45
+ num_examples: 7
46
+ - name: career_counselor
47
+ num_bytes: 1696
48
+ num_examples: 4
49
+ - name: carpenter
50
+ num_bytes: 1792
51
+ num_examples: 8
52
+ - name: carpet_installer
53
+ num_bytes: 1816
54
+ num_examples: 9
55
+ - name: cashier
56
+ num_bytes: 1696
57
+ num_examples: 4
58
+ - name: ceo
59
+ num_bytes: 1720
60
+ num_examples: 5
61
+ - name: childcare_worker
62
+ num_bytes: 1648
63
+ num_examples: 2
64
+ - name: civil_engineer
65
+ num_bytes: 1792
66
+ num_examples: 8
67
+ - name: claims_appraiser
68
+ num_bytes: 1816
69
+ num_examples: 9
70
+ - name: cleaner
71
+ num_bytes: 1672
72
+ num_examples: 3
73
+ - name: clergy
74
+ num_bytes: 1720
75
+ num_examples: 5
76
+ - name: clerk
77
+ num_bytes: 1744
78
+ num_examples: 6
79
+ - name: coach
80
+ num_bytes: 1768
81
+ num_examples: 7
82
+ - name: community_manager
83
+ num_bytes: 1792
84
+ num_examples: 8
85
+ - name: compliance_officer
86
+ num_bytes: 1696
87
+ num_examples: 4
88
+ - name: computer_programmer
89
+ num_bytes: 1792
90
+ num_examples: 8
91
+ - name: computer_support_specialist
92
+ num_bytes: 1744
93
+ num_examples: 6
94
+ - name: computer_systems_analyst
95
+ num_bytes: 1744
96
+ num_examples: 6
97
+ - name: construction_worker
98
+ num_bytes: 1816
99
+ num_examples: 9
100
+ - name: cook
101
+ num_bytes: 1768
102
+ num_examples: 7
103
+ - name: correctional_officer
104
+ num_bytes: 1696
105
+ num_examples: 4
106
+ - name: courier
107
+ num_bytes: 1696
108
+ num_examples: 4
109
+ - name: credit_counselor
110
+ num_bytes: 1720
111
+ num_examples: 5
112
+ - name: customer_service_representative
113
+ num_bytes: 1744
114
+ num_examples: 6
115
+ - name: data_entry_keyer
116
+ num_bytes: 1696
117
+ num_examples: 4
118
+ - name: dental_assistant
119
+ num_bytes: 1696
120
+ num_examples: 4
121
+ - name: dental_hygienist
122
+ num_bytes: 1720
123
+ num_examples: 5
124
+ - name: dentist
125
+ num_bytes: 1720
126
+ num_examples: 5
127
+ - name: designer
128
+ num_bytes: 1768
129
+ num_examples: 7
130
+ - name: detective
131
+ num_bytes: 1720
132
+ num_examples: 5
133
+ - name: director
134
+ num_bytes: 1744
135
+ num_examples: 6
136
+ - name: dishwasher
137
+ num_bytes: 1720
138
+ num_examples: 5
139
+ - name: dispatcher
140
+ num_bytes: 1720
141
+ num_examples: 5
142
+ - name: doctor
143
+ num_bytes: 1720
144
+ num_examples: 5
145
+ - name: drywall_installer
146
+ num_bytes: 1768
147
+ num_examples: 7
148
+ - name: electrical_engineer
149
+ num_bytes: 1696
150
+ num_examples: 4
151
+ - name: electrician
152
+ num_bytes: 1720
153
+ num_examples: 5
154
+ - name: engineer
155
+ num_bytes: 1744
156
+ num_examples: 6
157
+ - name: event_planner
158
+ num_bytes: 1768
159
+ num_examples: 7
160
+ - name: executive_assistant
161
+ num_bytes: 1744
162
+ num_examples: 6
163
+ - name: facilities_manager
164
+ num_bytes: 1792
165
+ num_examples: 8
166
+ - name: farmer
167
+ num_bytes: 1792
168
+ num_examples: 8
169
+ - name: fast_food_worker
170
+ num_bytes: 1744
171
+ num_examples: 6
172
+ - name: file_clerk
173
+ num_bytes: 1696
174
+ num_examples: 4
175
+ - name: financial_advisor
176
+ num_bytes: 1792
177
+ num_examples: 8
178
+ - name: financial_analyst
179
+ num_bytes: 1768
180
+ num_examples: 7
181
+ - name: financial_manager
182
+ num_bytes: 1744
183
+ num_examples: 6
184
+ - name: firefighter
185
+ num_bytes: 1792
186
+ num_examples: 8
187
+ - name: fitness_instructor
188
+ num_bytes: 1768
189
+ num_examples: 7
190
+ - name: graphic_designer
191
+ num_bytes: 1792
192
+ num_examples: 8
193
+ - name: groundskeeper
194
+ num_bytes: 1840
195
+ num_examples: 10
196
+ - name: hairdresser
197
+ num_bytes: 1768
198
+ num_examples: 7
199
+ - name: head_cook
200
+ num_bytes: 1840
201
+ num_examples: 10
202
+ - name: health_technician
203
+ num_bytes: 1696
204
+ num_examples: 4
205
+ - name: industrial_engineer
206
+ num_bytes: 1792
207
+ num_examples: 8
208
+ - name: insurance_agent
209
+ num_bytes: 1696
210
+ num_examples: 4
211
+ - name: interior_designer
212
+ num_bytes: 1792
213
+ num_examples: 8
214
+ - name: interviewer
215
+ num_bytes: 1744
216
+ num_examples: 6
217
+ - name: inventory_clerk
218
+ num_bytes: 1792
219
+ num_examples: 8
220
+ - name: it_specialist
221
+ num_bytes: 1696
222
+ num_examples: 4
223
+ - name: jailer
224
+ num_bytes: 1696
225
+ num_examples: 4
226
+ - name: janitor
227
+ num_bytes: 1720
228
+ num_examples: 5
229
+ - name: laboratory_technician
230
+ num_bytes: 1696
231
+ num_examples: 4
232
+ - name: language_pathologist
233
+ num_bytes: 1032
234
+ num_examples: 3
235
+ download_size: 307031
236
+ dataset_size: 128344
237
+ ---
238
+ # Dataset Card for "prof_report__andite-anything-v4.0__multi__24"
239
+
240
+ [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)