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1
- ---
2
- dataset_info:
3
- features:
4
- - name: subreddit
5
- dtype: string
6
- - name: post_id
7
- dtype: string
8
- - name: sentence_range
9
- dtype: string
10
- - name: text
11
- dtype: string
12
- - name: id
13
- dtype: int64
14
- - name: label
15
- dtype: int64
16
- - name: confidence
17
- dtype: float64
18
- - name: social_timestamp
19
- dtype: int64
20
- - name: social_karma
21
- dtype: int64
22
- - name: syntax_ari
23
- dtype: float64
24
- - name: lex_liwc_WC
25
- dtype: int64
26
- - name: lex_liwc_Analytic
27
- dtype: float64
28
- - name: lex_liwc_Clout
29
- dtype: float64
30
- - name: lex_liwc_Authentic
31
- dtype: float64
32
- - name: lex_liwc_Tone
33
- dtype: float64
34
- - name: lex_liwc_WPS
35
- dtype: float64
36
- - name: lex_liwc_Sixltr
37
- dtype: float64
38
- - name: lex_liwc_Dic
39
- dtype: float64
40
- - name: lex_liwc_function
41
- dtype: float64
42
- - name: lex_liwc_pronoun
43
- dtype: float64
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- - name: lex_liwc_ppron
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- dtype: float64
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- - name: lex_liwc_i
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- dtype: float64
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- - name: lex_liwc_we
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- dtype: float64
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- - name: lex_liwc_you
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- dtype: float64
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- - name: lex_liwc_shehe
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- dtype: float64
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- - name: lex_liwc_they
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- dtype: float64
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- - name: lex_liwc_ipron
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- dtype: float64
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- - name: lex_liwc_article
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- dtype: float64
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- - name: lex_liwc_prep
61
- dtype: float64
62
- - name: lex_liwc_auxverb
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- dtype: float64
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- - name: lex_liwc_adverb
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- dtype: float64
66
- - name: lex_liwc_conj
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- dtype: float64
68
- - name: lex_liwc_negate
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- dtype: float64
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- - name: lex_liwc_verb
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- dtype: float64
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- - name: lex_liwc_adj
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- dtype: float64
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- - name: lex_liwc_compare
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- dtype: float64
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- - name: lex_liwc_interrog
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- dtype: float64
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- - name: lex_liwc_number
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- dtype: float64
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- - name: lex_liwc_quant
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- dtype: float64
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- - name: lex_liwc_affect
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- dtype: float64
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- - name: lex_liwc_posemo
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- dtype: float64
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- - name: lex_liwc_negemo
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- dtype: float64
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- - name: lex_liwc_anx
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- dtype: float64
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- - name: lex_liwc_anger
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- dtype: float64
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- - name: lex_liwc_sad
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- dtype: float64
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- - name: lex_liwc_social
95
- dtype: float64
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- - name: lex_liwc_family
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- dtype: float64
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- - name: lex_liwc_friend
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- dtype: float64
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- - name: lex_liwc_female
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- dtype: float64
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- - name: lex_liwc_male
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- dtype: float64
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- - name: lex_liwc_cogproc
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- dtype: float64
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- - name: lex_liwc_insight
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- dtype: float64
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- - name: lex_liwc_cause
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- dtype: float64
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- - name: lex_liwc_discrep
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- dtype: float64
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- - name: lex_liwc_tentat
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- dtype: float64
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- - name: lex_liwc_certain
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- dtype: float64
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- - name: lex_liwc_differ
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- dtype: float64
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- - name: lex_liwc_percept
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- dtype: float64
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- - name: lex_liwc_see
121
- dtype: float64
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- - name: lex_liwc_hear
123
- dtype: float64
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- - name: lex_liwc_feel
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- dtype: float64
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- - name: lex_liwc_bio
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- dtype: float64
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- - name: lex_liwc_body
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- dtype: float64
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- - name: lex_liwc_health
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- dtype: float64
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- - name: lex_liwc_sexual
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- dtype: float64
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- - name: lex_liwc_ingest
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- dtype: float64
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- - name: lex_liwc_drives
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- dtype: float64
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- - name: lex_liwc_affiliation
139
- dtype: float64
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- - name: lex_liwc_achieve
141
- dtype: float64
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- - name: lex_liwc_power
143
- dtype: float64
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- - name: lex_liwc_reward
145
- dtype: float64
146
- - name: lex_liwc_risk
147
- dtype: float64
148
- - name: lex_liwc_focuspast
149
- dtype: float64
150
- - name: lex_liwc_focuspresent
151
- dtype: float64
152
- - name: lex_liwc_focusfuture
153
- dtype: float64
154
- - name: lex_liwc_relativ
155
- dtype: float64
156
- - name: lex_liwc_motion
157
- dtype: float64
158
- - name: lex_liwc_space
159
- dtype: float64
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- - name: lex_liwc_time
161
- dtype: float64
162
- - name: lex_liwc_work
163
- dtype: float64
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- - name: lex_liwc_leisure
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- dtype: float64
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- - name: lex_liwc_home
167
- dtype: float64
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- - name: lex_liwc_money
169
- dtype: float64
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- - name: lex_liwc_relig
171
- dtype: float64
172
- - name: lex_liwc_death
173
- dtype: float64
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- - name: lex_liwc_informal
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- dtype: float64
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- - name: lex_liwc_swear
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- dtype: float64
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- - name: lex_liwc_netspeak
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- dtype: float64
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- - name: lex_liwc_assent
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- dtype: float64
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- - name: lex_liwc_nonflu
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- dtype: float64
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- - name: lex_liwc_filler
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- dtype: float64
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- - name: lex_liwc_AllPunc
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- dtype: float64
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- - name: lex_liwc_Period
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- dtype: float64
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- - name: lex_liwc_Comma
191
- dtype: float64
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- - name: lex_liwc_Colon
193
- dtype: float64
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- - name: lex_liwc_SemiC
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- dtype: float64
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- - name: lex_liwc_QMark
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- dtype: float64
198
- - name: lex_liwc_Exclam
199
- dtype: float64
200
- - name: lex_liwc_Dash
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- dtype: float64
202
- - name: lex_liwc_Quote
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- dtype: float64
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- - name: lex_liwc_Apostro
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- dtype: float64
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- - name: lex_liwc_Parenth
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- dtype: float64
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- - name: lex_liwc_OtherP
209
- dtype: float64
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- - name: lex_dal_max_pleasantness
211
- dtype: float64
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- - name: lex_dal_max_activation
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- dtype: float64
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- - name: lex_dal_max_imagery
215
- dtype: float64
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- - name: lex_dal_min_pleasantness
217
- dtype: float64
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- - name: lex_dal_min_activation
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- dtype: float64
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- - name: lex_dal_min_imagery
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- dtype: float64
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- - name: lex_dal_avg_activation
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- dtype: float64
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- - name: lex_dal_avg_imagery
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- dtype: float64
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- - name: lex_dal_avg_pleasantness
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- dtype: float64
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- - name: social_upvote_ratio
229
- dtype: float64
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- - name: social_num_comments
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- dtype: int64
232
- - name: syntax_fk_grade
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- dtype: float64
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- - name: sentiment
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- dtype: float64
236
- splits:
237
- - name: train
238
- num_bytes: 3929762
239
- num_examples: 2838
240
- - name: test
241
- num_bytes: 988933
242
- num_examples: 715
243
- download_size: 2297873
244
- dataset_size: 4918695
245
- configs:
246
- - config_name: default
247
- data_files:
248
- - split: train
249
- path: data/train-*
250
- - split: test
251
- path: data/test-*
252
- tags:
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- - stress
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- - social-media
255
- - reddit
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- pretty_name: 'Dreaddit: A Reddit Dataset for Stress Analysis in Social Media'
257
- size_categories:
258
- - 1K<n<10K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ dataset_info:
3
+ features:
4
+ - name: subreddit
5
+ dtype: string
6
+ - name: post_id
7
+ dtype: string
8
+ - name: sentence_range
9
+ dtype: string
10
+ - name: text
11
+ dtype: string
12
+ - name: id
13
+ dtype: int64
14
+ - name: label
15
+ dtype: int64
16
+ - name: confidence
17
+ dtype: float64
18
+ - name: social_timestamp
19
+ dtype: int64
20
+ - name: social_karma
21
+ dtype: int64
22
+ - name: syntax_ari
23
+ dtype: float64
24
+ - name: lex_liwc_WC
25
+ dtype: int64
26
+ - name: lex_liwc_Analytic
27
+ dtype: float64
28
+ - name: lex_liwc_Clout
29
+ dtype: float64
30
+ - name: lex_liwc_Authentic
31
+ dtype: float64
32
+ - name: lex_liwc_Tone
33
+ dtype: float64
34
+ - name: lex_liwc_WPS
35
+ dtype: float64
36
+ - name: lex_liwc_Sixltr
37
+ dtype: float64
38
+ - name: lex_liwc_Dic
39
+ dtype: float64
40
+ - name: lex_liwc_function
41
+ dtype: float64
42
+ - name: lex_liwc_pronoun
43
+ dtype: float64
44
+ - name: lex_liwc_ppron
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+ dtype: float64
46
+ - name: lex_liwc_i
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+ dtype: float64
48
+ - name: lex_liwc_we
49
+ dtype: float64
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+ - name: lex_liwc_you
51
+ dtype: float64
52
+ - name: lex_liwc_shehe
53
+ dtype: float64
54
+ - name: lex_liwc_they
55
+ dtype: float64
56
+ - name: lex_liwc_ipron
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+ dtype: float64
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+ - name: lex_liwc_article
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+ dtype: float64
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+ - name: lex_liwc_prep
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+ dtype: float64
62
+ - name: lex_liwc_auxverb
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+ dtype: float64
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+ - name: lex_liwc_adverb
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+ dtype: float64
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+ - name: lex_liwc_conj
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+ dtype: float64
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+ - name: lex_liwc_negate
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+ dtype: float64
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+ - name: lex_liwc_verb
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+ dtype: float64
72
+ - name: lex_liwc_adj
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+ dtype: float64
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+ - name: lex_liwc_compare
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+ dtype: float64
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+ - name: lex_liwc_interrog
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+ dtype: float64
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+ - name: lex_liwc_number
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+ dtype: float64
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+ - name: lex_liwc_quant
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+ dtype: float64
82
+ - name: lex_liwc_affect
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+ dtype: float64
84
+ - name: lex_liwc_posemo
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+ dtype: float64
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+ - name: lex_liwc_negemo
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+ dtype: float64
88
+ - name: lex_liwc_anx
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+ dtype: float64
90
+ - name: lex_liwc_anger
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+ dtype: float64
92
+ - name: lex_liwc_sad
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+ dtype: float64
94
+ - name: lex_liwc_social
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+ dtype: float64
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+ - name: lex_liwc_family
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+ dtype: float64
98
+ - name: lex_liwc_friend
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+ dtype: float64
100
+ - name: lex_liwc_female
101
+ dtype: float64
102
+ - name: lex_liwc_male
103
+ dtype: float64
104
+ - name: lex_liwc_cogproc
105
+ dtype: float64
106
+ - name: lex_liwc_insight
107
+ dtype: float64
108
+ - name: lex_liwc_cause
109
+ dtype: float64
110
+ - name: lex_liwc_discrep
111
+ dtype: float64
112
+ - name: lex_liwc_tentat
113
+ dtype: float64
114
+ - name: lex_liwc_certain
115
+ dtype: float64
116
+ - name: lex_liwc_differ
117
+ dtype: float64
118
+ - name: lex_liwc_percept
119
+ dtype: float64
120
+ - name: lex_liwc_see
121
+ dtype: float64
122
+ - name: lex_liwc_hear
123
+ dtype: float64
124
+ - name: lex_liwc_feel
125
+ dtype: float64
126
+ - name: lex_liwc_bio
127
+ dtype: float64
128
+ - name: lex_liwc_body
129
+ dtype: float64
130
+ - name: lex_liwc_health
131
+ dtype: float64
132
+ - name: lex_liwc_sexual
133
+ dtype: float64
134
+ - name: lex_liwc_ingest
135
+ dtype: float64
136
+ - name: lex_liwc_drives
137
+ dtype: float64
138
+ - name: lex_liwc_affiliation
139
+ dtype: float64
140
+ - name: lex_liwc_achieve
141
+ dtype: float64
142
+ - name: lex_liwc_power
143
+ dtype: float64
144
+ - name: lex_liwc_reward
145
+ dtype: float64
146
+ - name: lex_liwc_risk
147
+ dtype: float64
148
+ - name: lex_liwc_focuspast
149
+ dtype: float64
150
+ - name: lex_liwc_focuspresent
151
+ dtype: float64
152
+ - name: lex_liwc_focusfuture
153
+ dtype: float64
154
+ - name: lex_liwc_relativ
155
+ dtype: float64
156
+ - name: lex_liwc_motion
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+ dtype: float64
158
+ - name: lex_liwc_space
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+ dtype: float64
160
+ - name: lex_liwc_time
161
+ dtype: float64
162
+ - name: lex_liwc_work
163
+ dtype: float64
164
+ - name: lex_liwc_leisure
165
+ dtype: float64
166
+ - name: lex_liwc_home
167
+ dtype: float64
168
+ - name: lex_liwc_money
169
+ dtype: float64
170
+ - name: lex_liwc_relig
171
+ dtype: float64
172
+ - name: lex_liwc_death
173
+ dtype: float64
174
+ - name: lex_liwc_informal
175
+ dtype: float64
176
+ - name: lex_liwc_swear
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+ dtype: float64
178
+ - name: lex_liwc_netspeak
179
+ dtype: float64
180
+ - name: lex_liwc_assent
181
+ dtype: float64
182
+ - name: lex_liwc_nonflu
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+ dtype: float64
184
+ - name: lex_liwc_filler
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+ dtype: float64
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+ - name: lex_liwc_AllPunc
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+ dtype: float64
188
+ - name: lex_liwc_Period
189
+ dtype: float64
190
+ - name: lex_liwc_Comma
191
+ dtype: float64
192
+ - name: lex_liwc_Colon
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+ dtype: float64
194
+ - name: lex_liwc_SemiC
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+ dtype: float64
196
+ - name: lex_liwc_QMark
197
+ dtype: float64
198
+ - name: lex_liwc_Exclam
199
+ dtype: float64
200
+ - name: lex_liwc_Dash
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+ dtype: float64
202
+ - name: lex_liwc_Quote
203
+ dtype: float64
204
+ - name: lex_liwc_Apostro
205
+ dtype: float64
206
+ - name: lex_liwc_Parenth
207
+ dtype: float64
208
+ - name: lex_liwc_OtherP
209
+ dtype: float64
210
+ - name: lex_dal_max_pleasantness
211
+ dtype: float64
212
+ - name: lex_dal_max_activation
213
+ dtype: float64
214
+ - name: lex_dal_max_imagery
215
+ dtype: float64
216
+ - name: lex_dal_min_pleasantness
217
+ dtype: float64
218
+ - name: lex_dal_min_activation
219
+ dtype: float64
220
+ - name: lex_dal_min_imagery
221
+ dtype: float64
222
+ - name: lex_dal_avg_activation
223
+ dtype: float64
224
+ - name: lex_dal_avg_imagery
225
+ dtype: float64
226
+ - name: lex_dal_avg_pleasantness
227
+ dtype: float64
228
+ - name: social_upvote_ratio
229
+ dtype: float64
230
+ - name: social_num_comments
231
+ dtype: int64
232
+ - name: syntax_fk_grade
233
+ dtype: float64
234
+ - name: sentiment
235
+ dtype: float64
236
+ splits:
237
+ - name: train
238
+ num_bytes: 3929762
239
+ num_examples: 2838
240
+ - name: test
241
+ num_bytes: 988933
242
+ num_examples: 715
243
+ download_size: 2297873
244
+ dataset_size: 4918695
245
+ configs:
246
+ - config_name: default
247
+ data_files:
248
+ - split: train
249
+ path: data/train-*
250
+ - split: test
251
+ path: data/test-*
252
+ tags:
253
+ - stress
254
+ - social-media
255
+ - reddit
256
+ pretty_name: 'Dreaddit: A Reddit Dataset for Stress Analysis in Social Media'
257
+ size_categories:
258
+ - 1K<n<10K
259
+ language:
260
+ - en
261
+ ---
262
+ # Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
263
+
264
+ Consists of 190K posts from five different categories of Reddit communities.
265
+
266
+ ## Citation
267
+
268
+ ```
269
+ @inproceedings{turcan-mckeown-2019-dreaddit,
270
+ title = "{D}readdit: A {R}eddit Dataset for Stress Analysis in Social Media",
271
+ author = "Turcan, Elsbeth and
272
+ McKeown, Kathy",
273
+ editor = "Holderness, Eben and
274
+ Jimeno Yepes, Antonio and
275
+ Lavelli, Alberto and
276
+ Minard, Anne-Lyse and
277
+ Pustejovsky, James and
278
+ Rinaldi, Fabio",
279
+ booktitle = "Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)",
280
+ month = nov,
281
+ year = "2019",
282
+ address = "Hong Kong",
283
+ publisher = "Association for Computational Linguistics",
284
+ url = "https://aclanthology.org/D19-6213/",
285
+ doi = "10.18653/v1/D19-6213",
286
+ pages = "97--107",
287
+ abstract = "Stress is a nigh-universal human experience, particularly in the online world. While stress can be a motivator, too much stress is associated with many negative health outcomes, making its identification useful across a range of domains. However, existing computational research typically only studies stress in domains such as speech, or in short genres such as Twitter. We present Dreaddit, a new text corpus of lengthy multi-domain social media data for the identification of stress. Our dataset consists of 190K posts from five different categories of Reddit communities; we additionally label 3.5K total segments taken from 3K posts using Amazon Mechanical Turk. We present preliminary supervised learning methods for identifying stress, both neural and traditional, and analyze the complexity and diversity of the data and characteristics of each category."
288
+ }
289
+ ```