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M2D2: A Massively Multi-domain Language Modeling Dataset
From the paper "M2D2: A Massively Multi-domain Language Modeling Dataset", (Reid et al., EMNLP 2022)
Load the dataset as follows:
import datasets
dataset = datasets.load_dataset("machelreid/m2d2", "cs.CL") # replace cs.CL with the domain of your choice
print(dataset['train'][0]['text'])
Domains
- Culture_and_the_arts
- Culture_and_the_arts__Culture_and_Humanities
- Culture_and_the_arts__Games_and_Toys
- Culture_and_the_arts__Mass_media
- Culture_and_the_arts__Performing_arts
- Culture_and_the_arts__Sports_and_Recreation
- Culture_and_the_arts__The_arts_and_Entertainment
- Culture_and_the_arts__Visual_arts
- General_referece
- General_referece__Further_research_tools_and_topics
- General_referece__Reference_works
- Health_and_fitness
- Health_and_fitness__Exercise
- Health_and_fitness__Health_science
- Health_and_fitness__Human_medicine
- Health_and_fitness__Nutrition
- Health_and_fitness__Public_health
- Health_and_fitness__Self_care
- History_and_events
- History_and_events__By_continent
- History_and_events__By_period
- History_and_events__By_region
- Human_activites
- Human_activites__Human_activities
- Human_activites__Impact_of_human_activity
- Mathematics_and_logic
- Mathematics_and_logic__Fields_of_mathematics
- Mathematics_and_logic__Logic
- Mathematics_and_logic__Mathematics
- Natural_and_physical_sciences
- Natural_and_physical_sciences__Biology
- Natural_and_physical_sciences__Earth_sciences
- Natural_and_physical_sciences__Nature
- Natural_and_physical_sciences__Physical_sciences
- Philosophy
- Philosophy_and_thinking
- Philosophy_and_thinking__Philosophy
- Philosophy_and_thinking__Thinking
- Religion_and_belief_systems
- Religion_and_belief_systems__Allah
- Religion_and_belief_systems__Belief_systems
- Religion_and_belief_systems__Major_beliefs_of_the_world
- Society_and_social_sciences
- Society_and_social_sciences__Social_sciences
- Society_and_social_sciences__Society
- Technology_and_applied_sciences
- Technology_and_applied_sciences__Agriculture
- Technology_and_applied_sciences__Computing
- Technology_and_applied_sciences__Engineering
- Technology_and_applied_sciences__Transport
- alg-geom
- ao-sci
- astro-ph
- astro-ph.CO
- astro-ph.EP
- astro-ph.GA
- astro-ph.HE
- astro-ph.IM
- astro-ph.SR
- astro-ph_l1
- atom-ph
- bayes-an
- chao-dyn
- chem-ph
- cmp-lg
- comp-gas
- cond-mat
- cond-mat.dis-nn
- cond-mat.mes-hall
- cond-mat.mtrl-sci
- cond-mat.other
- cond-mat.quant-gas
- cond-mat.soft
- cond-mat.stat-mech
- cond-mat.str-el
- cond-mat.supr-con
- cond-mat_l1
- cs.AI
- cs.AR
- cs.CC
- cs.CE
- cs.CG
- cs.CL
- cs.CR
- cs.CV
- cs.CY
- cs.DB
- cs.DC
- cs.DL
- cs.DM
- cs.DS
- cs.ET
- cs.FL
- cs.GL
- cs.GR
- cs.GT
- cs.HC
- cs.IR
- cs.IT
- cs.LG
- cs.LO
- cs.MA
- cs.MM
- cs.MS
- cs.NA
- cs.NE
- cs.NI
- cs.OH
- cs.OS
- cs.PF
- cs.PL
- cs.RO
- cs.SC
- cs.SD
- cs.SE
- cs.SI
- cs.SY
- cs_l1
- dg-ga
- econ.EM
- econ.GN
- econ.TH
- econ_l1
- eess.AS
- eess.IV
- eess.SP
- eess.SY
- eess_l1
- eval_sets
- funct-an
- gr-qc
- hep-ex
- hep-lat
- hep-ph
- hep-th
- math-ph
- math.AC
- math.AG
- math.AP
- math.AT
- math.CA
- math.CO
- math.CT
- math.CV
- math.DG
- math.DS
- math.FA
- math.GM
- math.GN
- math.GR
- math.GT
- math.HO
- math.IT
- math.KT
- math.LO
- math.MG
- math.MP
- math.NA
- math.NT
- math.OA
- math.OC
- math.PR
- math.QA
- math.RA
- math.RT
- math.SG
- math.SP
- math.ST
- math_l1
- mtrl-th
- nlin.AO
- nlin.CD
- nlin.CG
- nlin.PS
- nlin.SI
- nlin_l1
- nucl-ex
- nucl-th
- patt-sol
- physics.acc-ph
- physics.ao-ph
- physics.app-ph
- physics.atm-clus
- physics.atom-ph
- physics.bio-ph
- physics.chem-ph
- physics.class-ph
- physics.comp-ph
- physics.data-an
- physics.ed-ph
- physics.flu-dyn
- physics.gen-ph
- physics.geo-ph
- physics.hist-ph
- physics.ins-det
- physics.med-ph
- physics.optics
- physics.plasm-ph
- physics.pop-ph
- physics.soc-ph
- physics.space-ph
- physics_l1
- plasm-ph
- q-alg
- q-bio
- q-bio.BM
- q-bio.CB
- q-bio.GN
- q-bio.MN
- q-bio.NC
- q-bio.OT
- q-bio.PE
- q-bio.QM
- q-bio.SC
- q-bio.TO
- q-bio_l1
- q-fin.CP
- q-fin.EC
- q-fin.GN
- q-fin.MF
- q-fin.PM
- q-fin.PR
- q-fin.RM
- q-fin.ST
- q-fin.TR
- q-fin_l1
- quant-ph
- solv-int
- stat.AP
- stat.CO
- stat.ME
- stat.ML
- stat.OT
- stat.TH
- stat_l1
- supr-con supr-con
Citation
Please cite this work if you found this data useful.
@article{reid2022m2d2,
title = {M2D2: A Massively Multi-domain Language Modeling Dataset},
author = {Machel Reid and Victor Zhong and Suchin Gururangan and Luke Zettlemoyer},
year = {2022},
journal = {arXiv preprint arXiv: Arxiv-2210.07370}
}
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