| | --- |
| | license: cc-by-nc-4.0 |
| | --- |
| | # M2D2: A Massively Multi-domain Language Modeling Dataset |
| |
|
| | *From the paper "[M2D2: A Massively Multi-domain Language Modeling Dataset](https://arxiv.org/abs/2210.07370)", (Reid et al., EMNLP 2022)* |
| |
|
| | Load the dataset as follows: |
| | ```python |
| | 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. |
| | ```bib |
| | @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} |
| | } |
| | ``` |
