opinion
Datasets
All datasets matching “opinion”supreme_court_opinions_corpus_pdfwebAug24OpinionBench"""
_HOMEPAGE = ""
_LICENSE = ""
#_URLS = {
#"train": f"data/automated-tasks-subsample/{dataset_prefix}-subsample/{task_name}/{task_name}_train.csv",
#"validation": f"data/automated-tasks-subsample/{dataset_prefix}-subsample/{task_name}/{task_name}_validation.csv",
#"test": f"data/automated-tasks-subsample/{dataset_prefix}-subsample/{task_name}/{task_name}_test.csv",
#}
TASK_NAMES = [
'ATS-ATS Judgment Categories','ATS-Did the Court find ATS Jurisdiction',
'ATS-Favorable Judgment for at least one Plaintiff affecting the ATS claim',
'ATS-Is at least one defendant a corporation',
'Chevron-Ag. Format', 'Chevron-Ag. Interp', 'Chevron-Ag. Iss 3', 'Chevron-Ag. Iss. 1',
'Chevron-Ag. Iss. 2', 'Chevron-Ag. Iss. 4', 'Chevron-Agency', 'Chevron-ChevCited', 'Chevron-Chevron',
'Chevron-Chief', 'Chevron-Concurr', 'Chevron-Dec. Ag. ', 'Chevron-Dec. Ov. ', 'Chevron-Deference', 'Chevron-Dissents',
'Chevron-Notice & Comment', 'Chevron-Outcome', 'Chevron-Step 0', 'Chevron-Step 1', 'Chevron-Step 2', 'Chevron-Subject',
'Chevron-Type Del. ', 'Chevron-Unan',
'CoA-abusedis', 'CoA-adminrev', 'CoA-alj', 'CoA-altdisp', 'CoA-amicus', 'CoA-appbus', 'CoA-appfed', 'CoA-appfiduc', 'CoA-applfrom',
'CoA-appnatpr', 'CoA-appnonp', 'CoA-appstate', 'CoA-appsubst', 'CoA-attyfee', 'CoA-bank_ap1', 'CoA-bank_r1', 'CoA-capric',
'CoA-casetyp1', 'CoA-circuit', 'CoA-classact', 'CoA-concur', 'CoA-confess', 'CoA-constit', 'CoA-counsel', 'CoA-counsel1',
'CoA-counsel2', 'CoA-crossapp', 'CoA-day', 'CoA-direct1', 'CoA-discover', 'CoA-dissent', 'CoA-district', 'CoA-dueproc',
'CoA-entrap', 'CoA-erron', 'CoA-execord', 'CoA-exhaust', 'CoA-fedlaw', 'CoA-fedvst', 'CoA-genapel1', 'CoA-geniss', 'CoA-genresp1',
'CoA-genstand', 'CoA-habeas', 'CoA-immunity', 'CoA-improper', 'CoA-indict', 'CoA-initiate', 'CoA-injunct', 'CoA-interven',
'CoA-judgdisc', 'CoA-juris', 'CoA-juryinst', 'CoA-majvotes', 'CoA-method', 'CoA-month', 'CoA-notice', 'CoA-numappel', 'CoA-numresp',
'CoA-opinstat', 'CoA-origin', 'CoA-othadmis', 'CoA-othjury', 'CoA-plea', 'CoA-post_trl', 'CoA-prejud', 'CoA-pretrial', 'CoA-procdis',
'CoA-procedur', 'CoA-r_bus', 'CoA-r_fed', 'CoA-r_fiduc', 'CoA-r_natpr', 'CoA-r_nonp', 'CoA-r_state', 'CoA-r_stid', 'CoA-r_subst',
'CoA-realapp', 'CoA-realresp', 'CoA-rtcouns', 'CoA-search', 'CoA-sentence', 'CoA-source', 'CoA-standing', 'CoA-state', 'CoA-statecl',
'CoA-stpolicy', 'CoA-subevid', 'CoA-suffic', 'CoA-summary', 'CoA-timely', 'CoA-treat', 'CoA-trialpro', 'CoA-typeiss', 'CoA-weightev',
'DC-casetype', 'DC-category', 'DC-circuit', 'DC-libcon', 'DC-month', 'DC-statdist', 'DC-state', 'DC-year',
'JRC-AREA1', 'JRC-ATT GEN', 'JRC-CERT', 'JRC-DECISION', 'JRC-DECISION2', 'JRC-DISSENT', 'JRC-GVT PRTY', 'JRC-REVERSD',
'SC-adminAction', 'SC-authorityDecision1', 'SC-caseDisposition', 'SC-caseOrigin', 'SC-caseOriginState', 'SC-caseSource',
'SC-caseSourceState', 'SC-certReason', 'SC-decisionDirection', 'SC-decisionDirectionDissent', 'SC-decisionType',
'SC-declarationUncon', 'SC-issue', 'SC-issueArea', 'SC-jurisdiction', 'SC-lawType', 'SC-lcDisagreement', 'SC-lcDisposition',
'SC-lcDispositionDirection', 'SC-majOpinWriter', 'SC-majVotes', 'SC-minVotes', 'SC-partyWinning', 'SC-petitioner',
'SC-precedentAlteration', 'SC-respondent', 'SC-respondentState', 'SC-threeJudgeFdc', 'SC-voteUnclear',
'SSC-agency', 'SSC-agency_r', 'SSC-amicus', 'SSC-arson', 'SSC-assaulta', 'SSC-burglary', 'SSC-ca_atty', 'SSC-ca_capo',
'SSC-ca_conv', 'SSC-ca_cruel', 'SSC-ca_disc', 'SSC-ca_disp', 'SSC-ca_doubj', 'SSC-ca_ev_m', 'SSC-ca_ev_w', 'SSC-ca_gjury',
'SSC-ca_insan', 'SSC-ca_jr_in', 'SSC-ca_jr_sl', 'SSC-ca_majfm', 'SSC-ca_opnfm', 'SSC-ca_plea', 'SSC-ca_prej', 'SSC-ca_race',
'SSC-ca_recus', 'SSC-ca_self', 'SSC-ca_sent', 'SSC-ca_sento', 'SSC-ca_serch', 'SSC-ca_sevr', 'SSC-ca_speed', 'SSC-ca_stc',
'SSC-ca_stcty', 'SSC-ca_stdc', 'SSC-ca_suff', 'SSC-ca_tot_c', 'SSC-ca_tot_i', 'SSC-ca_trial', 'SSC-ca_usc', 'SSC-ca_uscdc',
'SSC-ca_uscty', 'SSC-ca_venue', 'SSC-ca_winp', 'SSC-crossapp', 'SSC-death_c', 'SSC-death_im', 'SSC-dec1_day', 'SSC-dec1_mo',
'SSC-dec1_yr', 'SSC-decs_day', 'SSC-decs_mo', 'SSC-decs_yr', 'SSC-disorder', 'SSC-docket_n', 'SSC-drugabus',
'SSC-drugsell', 'SSC-dui', 'SSC-enbanc', 'SSC-fam_kids', 'SSC-first_ct', 'SSC-fraud', 'SSC-juris', 'SSC-kidnap', 'SSC-mans_neg',
'SSC-mans_non', 'SSC-multi_p', 'SSC-multi_r', 'SSC-murder', 'SSC-o_defend', 'SSC-o_plain', 'SSC-p1_persn', 'SSC-p1_sgov',
'SSC-parole', 'SSC-r1_persn', 'SSC-rape', 'SSC-rev_ct', 'SSC-robbery', 'SSC-sex_gen', 'SSC-stolen', 'SSC-theft', 'SSC-traffic',
'SSC-type_p1', 'SSC-type_p2'
]
_CONFIGS = {
task_name: {
"description": f"{task_name} specific legal opinions", # Dynamic description based on task name
"features": {
"idx": datasets.Value("string"),
"Citation": datasets.Value("string"),
"Full Case Name": datasets.Value("string"),
"Opinion Text": datasets.Value("string"),
"Numerical Label": datasets.Value("string"), # Will be optional for some tasks
"Text Label": datasets.Value("string"), # Will be optional for some tasks
#"DC Numerical Label": datasets.Value("string")
#"Syllabus": datasets.Value("string") # Will be optional for some tasks
},
}
for task_name in TASK_NAMES
}
class LongConLDataset(datasets.GeneratorBasedBuilder):courtlistener_opinionsllm_global_opinions
Dataset Card for GlobalOpinionQA
Dataset Summary
The data contains a subset of survey questions about global issues and opinions adapted from the World Values Survey and Pew Global Attitudes Survey.
The data is further described in the paper: Towards Measuring the Representation of Subjective Global Opinions in Language Models.
Purpose
In our paper, we use this dataset to analyze the opinions that large language models (LLMs) reflect on complex global… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/llm_global_opinions.task903_deceptive_opinion_spam_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task903_deceptive_opinion_spam_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task903_deceptive_opinion_spam_classification.task902_deceptive_opinion_spam_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task902_deceptive_opinion_spam_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task902_deceptive_opinion_spam_classification.