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1
- ---
2
- language:
3
- - en
4
- datasets:
5
  - natural_instructions
6
  - the_pile
7
  - cot
8
  - Muennighoff/P3
9
- tags:
10
- - gpt
11
- pipeline_tag: text-generation
12
- inference:
13
- parameters:
14
  temperature: 1.0
15
  top_k: 1
16
- max_new_tokens: 5
17
- widget:
18
- - text: "Label the sentence based on whether it is related to an adverse drug effect (ADE). Details are described below:\nDrugs: Names of drugs and chemicals that include brand names, trivial names, abbreviations and systematic names were annotated. Mentions of drugs or chemicals should strictly be in a therapeutic context. This category does not include the names of metabolites, reaction byproducts, or hospital chemicals (e.g. surgical equipment disinfectants).\nAdverse effect: Mentions of adverse effects include signs, symptoms, diseases, disorders, acquired abnormalities, deficiencies, organ damage or death that strictly occur as a consequence of drug intake.\nPossible labels:\n1. ADE-related\n2. not ADE-related\n\nSentence: A challenge with clozapine was feasible and showed no clinical symptoms of eosinophilia.\nLabel: not ADE-related\n\nSentence: CONCLUSIONS: These results suggest that clozapine may cause TD; however, the prevalence is low and the severity is relatively mild, with no or mild self-reported discomfort.\nLabel: ADE-related\n\nSentence: Best-corrected visual acuity measurements were performed at every visit.\nLabel: not ADE-related\n\nSentence: These cases were considered unusual in light of the short delay of their onset after initiation of immunosuppressive therapy and their fulminant course: 3 of these patients died of PCP occurring during the first month of treatment with prednisone.\nLabel: ADE-related\n\nSentence: The INR should be monitored more frequently when bosentan is initiated, adjusted, or discontinued in patients taking warfarin.\nLabel: not ADE-related\n\nSentence: NEH must be considered in lupus patients receiving cytotoxic agents to avoid inappropriate use of corticosteroids or antibiotics in this self-limited condition.\nLabel:"
19
- example_title: "ADE Corpus V2"
20
- - text: "The following is a banking customer service query. Classify the query into one of the 77 categories available.\nPossible labels:\n1. Refund_not_showing_up\n2. activate_my_card\n3. age_limit\n4. apple_pay_or_google_pay\n5. atm_support\n6. automatic_top_up\n7. balance_not_updated_after_bank_transfer\n8. balance_not_updated_after_cheque_or_cash_deposit\n9. beneficiary_not_allowed\n10. cancel_transfer\n11. card_about_to_expire\n12. card_acceptance\n13. card_arrival\n14. card_delivery_estimate\n15. card_linking\n16. card_not_working\n17. card_payment_fee_charged\n18. card_payment_not_recognised\n19. card_payment_wrong_exchange_rate\n20. card_swallowed\n21. cash_withdrawal_charge\n22. cash_withdrawal_not_recognised\n23. change_pin\n24. compromised_card\n25. contactless_not_working\n26. country_support\n27. declined_card_payment\n28. declined_cash_withdrawal\n29. declined_transfer\n30. direct_debit_payment_not_recognised\n31. disposable_card_limits\n32. edit_personal_details\n33. exchange_charge\n34. exchange_rate\n35. exchange_via_app\n36. extra_charge_on_statement\n37. failed_transfer\n38. fiat_currency_support\n39. get_disposable_virtual_card\n40. get_physical_card\n41. getting_spare_card\n42. getting_virtual_card\n43. lost_or_stolen_card\n44. lost_or_stolen_phone\n45. order_physical_card\n46. passcode_forgotten\n47. pending_card_payment\n48. pending_cash_withdrawal\n49. pending_top_up\n50. pending_transfer\n51. pin_blocked\n52. receiving_money\n53. request_refund\n54. reverted_card_payment?\n55. supported_cards_and_currencies\n56. terminate_account\n57. top_up_by_bank_transfer_charge\n58. top_up_by_card_charge\n59. top_up_by_cash_or_cheque\n60. top_up_failed\n61. top_up_limits\n62. top_up_reverted\n63. topping_up_by_card\n64. transaction_charged_twice\n65. transfer_fee_charged\n66. transfer_into_account\n67. transfer_not_received_by_recipient\n68. transfer_timing\n69. unable_to_verify_identity\n70. verify_my_identity\n71. verify_source_of_funds\n72. verify_top_up\n73. virtual_card_not_working\n74. visa_or_mastercard\n75. why_verify_identity\n76. wrong_amount_of_cash_received\n77. wrong_exchange_rate_for_cash_withdrawal\n\nQuery: My card payment was not successful.\nLabel: declined_card_payment\n\nQuery: Is it possible for me to change my PIN number?\nLabel: change_pin\n\nQuery: limits on top ups\nLabel: top_up_limits\n\nQuery: I live in the EU - can I get a card?\nLabel: country_support\n\nQuery: How can I tell the source for my available funds?\nLabel: verify_source_of_funds\n\nQuery: Why am I getting declines when trying to make a purchase online?\nLabel:"
21
- example_title: "Banking77"
22
- - text: "In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent, by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a different rule on the point of law involved. Label the sentence based on whether it is overruling or not.\nPossible labels:\n1. not overruling\n2. overruling\n\nSentence: see mciver, 134 n.c.app. at 588, 518 s.e.2d at 526.\nLabel: not overruling\n\nSentence: to the extent that paprskar v. state, supra, applied the general test of waiver of constitutional rights set forth in johnson v. zerbst, supra, it is no longer viable.\nLabel: overruling\n\nSentence: narrowstep, 2010 wl 5422405, at *12.\nLabel: not overruling\n\nSentence: accordingly, to the extent of any conflict nemecek v. state, 621 s.w.2d 404 (tex.cr.app. 1980) is overruled.\nLabel: overruling\n\nSentence: the following facts are taken from the administrative record.\nLabel: not overruling\n\nSentence: see scott, supra at 352; commonwealth v. ruffin, 475 mass. 1003, 1004 (2016).\nLabel:"
23
- example_title: "Overruling"
24
- - text: "Label whether the following tweet contains hate speech against either immigrants or women. Hate Speech (HS) is commonly defined as any communication that disparages a person or a group on the basis of some characteristic such as race, color, ethnicity, gender, sexual orientation, nationality, religion, or other characteristics.\nPossible labels:\n1. hate speech\n2. not hate speech\n\nTweet: #TakeAKnee trump\'s a chump! @user is the real deal-helping so many on his journey through greatness! Even @user can\'t stand #IQ45-stands to CLEAN UP while he\'s in prison. One hot, lucky #Immigrant babe! #OHi12 #VoteBlue @user in the #Columbus area. #BlueWave baby!\nLabel: not hate speech\n\nTweet: HOW REFRESHING! In South Korea, there is no such thing as \'political correctness\" when it comes to dealing with Muslim refugee wannabes via @user\nLabel: hate speech\n\nTweet: New to Twitter-- any men on here know what the process is to get #verified?\nLabel: not hate speech\n\nTweet: UK Pensioner Faces 350 Lashes In Saudi Arabia why does this country exist it does nothing for migrants picks on old men no help from anyone\nLabel: not hate speech\n\nTweet: RT @user Her:I don\'t get what u want outta this relationship Him:Well, I was only looking for a bj but u kept coming back\nLabel: not hate speech\n\nTweet: Dont worry @user you are and will always be the most hysterical woman.\nLabel:"
25
- example_title: "Tweet Eval Hate"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
  ---
27
 
28
  <h1 style="font-size: 42px">TOGETHER RESEARCH<h1/>
 
1
+ ---
2
+ datasets:
 
 
3
  - natural_instructions
4
  - the_pile
5
  - cot
6
  - Muennighoff/P3
7
+ inference:
8
+ parameters:
9
+ max_new_tokens: 5
 
 
10
  temperature: 1.0
11
  top_k: 1
12
+ language:
13
+ - en
14
+ pipeline_tag: text-generation
15
+ tags:
16
+ - gpt
17
+ widget:
18
+ -
19
+ example_title: "ADE Corpus V2"
20
+ text: |-
21
+ Label the sentence based on whether it is related to an adverse drug effect (ADE). Details are described below:
22
+ Drugs: Names of drugs and chemicals that include brand names, trivial names, abbreviations and systematic names were annotated. Mentions of drugs or chemicals should strictly be in a therapeutic context. This category does not include the names of metabolites, reaction byproducts, or hospital chemicals (e.g. surgical equipment disinfectants).
23
+ Adverse effect: Mentions of adverse effects include signs, symptoms, diseases, disorders, acquired abnormalities, deficiencies, organ damage or death that strictly occur as a consequence of drug intake.
24
+ Possible labels:
25
+ 1. ADE-related
26
+ 2. not ADE-related
27
+
28
+ Sentence: A challenge with clozapine was feasible and showed no clinical symptoms of eosinophilia.
29
+ Label: not ADE-related
30
+
31
+ Sentence: CONCLUSIONS: These results suggest that clozapine may cause TD; however, the prevalence is low and the severity is relatively mild, with no or mild self-reported discomfort.
32
+ Label: ADE-related
33
+
34
+ Sentence: Best-corrected visual acuity measurements were performed at every visit.
35
+ Label: not ADE-related
36
+
37
+ Sentence: These cases were considered unusual in light of the short delay of their onset after initiation of immunosuppressive therapy and their fulminant course: 3 of these patients died of PCP occurring during the first month of treatment with prednisone.
38
+ Label: ADE-related
39
+
40
+ Sentence: The INR should be monitored more frequently when bosentan is initiated, adjusted, or discontinued in patients taking warfarin.
41
+ Label: not ADE-related
42
+
43
+ Sentence: NEH must be considered in lupus patients receiving cytotoxic agents to avoid inappropriate use of corticosteroids or antibiotics in this self-limited condition.
44
+ Label:
45
+ -
46
+ example_title: Banking77
47
+ text: |-
48
+ The following is a banking customer service query. Classify the query into one of the 77 categories available.
49
+ Possible labels:
50
+ 1. Refund_not_showing_up
51
+ 2. activate_my_card
52
+ 3. age_limit
53
+ 4. apple_pay_or_google_pay
54
+ 5. atm_support
55
+ 6. automatic_top_up
56
+ 7. balance_not_updated_after_bank_transfer
57
+ 8. balance_not_updated_after_cheque_or_cash_deposit
58
+ 9. beneficiary_not_allowed
59
+ 10. cancel_transfer
60
+ 11. card_about_to_expire
61
+ 12. card_acceptance
62
+ 13. card_arrival
63
+ 14. card_delivery_estimate
64
+ 15. card_linking
65
+ 16. card_not_working
66
+ 17. card_payment_fee_charged
67
+ 18. card_payment_not_recognised
68
+ 19. card_payment_wrong_exchange_rate
69
+ 20. card_swallowed
70
+ 21. cash_withdrawal_charge
71
+ 22. cash_withdrawal_not_recognised
72
+ 23. change_pin
73
+ 24. compromised_card
74
+ 25. contactless_not_working
75
+ 26. country_support
76
+ 27. declined_card_payment
77
+ 28. declined_cash_withdrawal
78
+ 29. declined_transfer
79
+ 30. direct_debit_payment_not_recognised
80
+ 31. disposable_card_limits
81
+ 32. edit_personal_details
82
+ 33. exchange_charge
83
+ 34. exchange_rate
84
+ 35. exchange_via_app
85
+ 36. extra_charge_on_statement
86
+ 37. failed_transfer
87
+ 38. fiat_currency_support
88
+ 39. get_disposable_virtual_card
89
+ 40. get_physical_card
90
+ 41. getting_spare_card
91
+ 42. getting_virtual_card
92
+ 43. lost_or_stolen_card
93
+ 44. lost_or_stolen_phone
94
+ 45. order_physical_card
95
+ 46. passcode_forgotten
96
+ 47. pending_card_payment
97
+ 48. pending_cash_withdrawal
98
+ 49. pending_top_up
99
+ 50. pending_transfer
100
+ 51. pin_blocked
101
+ 52. receiving_money
102
+ 53. request_refund
103
+ 54. reverted_card_payment?
104
+ 55. supported_cards_and_currencies
105
+ 56. terminate_account
106
+ 57. top_up_by_bank_transfer_charge
107
+ 58. top_up_by_card_charge
108
+ 59. top_up_by_cash_or_cheque
109
+ 60. top_up_failed
110
+ 61. top_up_limits
111
+ 62. top_up_reverted
112
+ 63. topping_up_by_card
113
+ 64. transaction_charged_twice
114
+ 65. transfer_fee_charged
115
+ 66. transfer_into_account
116
+ 67. transfer_not_received_by_recipient
117
+ 68. transfer_timing
118
+ 69. unable_to_verify_identity
119
+ 70. verify_my_identity
120
+ 71. verify_source_of_funds
121
+ 72. verify_top_up
122
+ 73. virtual_card_not_working
123
+ 74. visa_or_mastercard
124
+ 75. why_verify_identity
125
+ 76. wrong_amount_of_cash_received
126
+ 77. wrong_exchange_rate_for_cash_withdrawal
127
+
128
+ Query: My card payment was not successful.
129
+ Label: declined_card_payment
130
+
131
+ Query: Is it possible for me to change my PIN number?
132
+ Label: change_pin
133
+
134
+ Query: limits on top ups
135
+ Label: top_up_limits
136
+
137
+ Query: I live in the EU - can I get a card?
138
+ Label: country_support
139
+
140
+ Query: How can I tell the source for my available funds?
141
+ Label: verify_source_of_funds
142
+
143
+ Query: Why am I getting declines when trying to make a purchase online?
144
+ Label:
145
+ -
146
+ example_title: Overruling
147
+ text: |-
148
+ In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent, by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a different rule on the point of law involved. Label the sentence based on whether it is overruling or not.
149
+ Possible labels:
150
+ 1. not overruling
151
+ 2. overruling
152
+
153
+ Sentence: see mciver, 134 n.c.app. at 588, 518 s.e.2d at 526.
154
+ Label: not overruling
155
+
156
+ Sentence: to the extent that paprskar v. state, supra, applied the general test of waiver of constitutional rights set forth in johnson v. zerbst, supra, it is no longer viable.
157
+ Label: overruling
158
+
159
+ Sentence: narrowstep, 2010 wl 5422405, at *12.
160
+ Label: not overruling
161
+
162
+ Sentence: accordingly, to the extent of any conflict nemecek v. state, 621 s.w.2d 404 (tex.cr.app. 1980) is overruled.
163
+ Label: overruling
164
+
165
+ Sentence: the following facts are taken from the administrative record.
166
+ Label: not overruling
167
+
168
+ Sentence: see scott, supra at 352; commonwealth v. ruffin, 475 mass. 1003, 1004 (2016).
169
+ Label:
170
+ -
171
+ example_title: "Tweet Eval Hate"
172
+ text: |-
173
+ Label whether the following tweet contains hate speech against either immigrants or women. Hate Speech (HS) is commonly defined as any communication that disparages a person or a group on the basis of some characteristic such as race, color, ethnicity, gender, sexual orientation, nationality, religion, or other characteristics.
174
+ Possible labels:
175
+ 1. hate speech
176
+ 2. not hate speech
177
+
178
+ Tweet: #TakeAKnee trump's a chump! @user is the real deal-helping so many on his journey through greatness! Even @user can't stand #IQ45-stands to CLEAN UP while he's in prison. One hot, lucky #Immigrant babe! #OHi12 #VoteBlue @user in the #Columbus area. #BlueWave baby!
179
+ Label: not hate speech
180
+
181
+ Tweet: HOW REFRESHING! In South Korea, there is no such thing as 'political correctness" when it comes to dealing with Muslim refugee wannabes via @user
182
+ Label: hate speech
183
+
184
+ Tweet: New to Twitter-- any men on here know what the process is to get #verified?
185
+ Label: not hate speech
186
+
187
+ Tweet: UK Pensioner Faces 350 Lashes In Saudi Arabia why does this country exist it does nothing for migrants picks on old men no help from anyone
188
+ Label: not hate speech
189
+
190
+ Tweet: RT @user Her:I don't get what u want outta this relationship Him:Well, I was only looking for a bj but u kept coming back
191
+ Label: not hate speech
192
+
193
+ Tweet: Dont worry @user you are and will always be the most hysterical woman.
194
+ Label:
195
  ---
196
 
197
  <h1 style="font-size: 42px">TOGETHER RESEARCH<h1/>