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}
}