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--- |
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license: cc-by-nc-4.0 |
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--- |
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# M2D2: A Massively Multi-domain Language Modeling Dataset |
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*From the paper "[M2D2: A Massively Multi-domain Language Modeling Dataset](https://arxiv.org/abs/2210.07370)", (Reid et al., EMNLP 2022)* |
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Load the dataset as follows: |
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```python |
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import datasets |
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dataset = datasets.load_dataset("machelreid/m2d2", "cs.CL") # replace cs.CL with the domain of your choice |
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print(dataset['train'][0]['text']) |
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``` |
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## Domains |
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- Culture_and_the_arts |
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- Culture_and_the_arts__Culture_and_Humanities |
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- Culture_and_the_arts__Games_and_Toys |
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- Culture_and_the_arts__Mass_media |
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- Culture_and_the_arts__Performing_arts |
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- Culture_and_the_arts__Sports_and_Recreation |
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- Culture_and_the_arts__The_arts_and_Entertainment |
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- Culture_and_the_arts__Visual_arts |
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- General_referece |
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- General_referece__Further_research_tools_and_topics |
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- General_referece__Reference_works |
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- Health_and_fitness |
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- Health_and_fitness__Exercise |
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- Health_and_fitness__Health_science |
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- Health_and_fitness__Human_medicine |
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- Health_and_fitness__Nutrition |
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- Health_and_fitness__Public_health |
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- Health_and_fitness__Self_care |
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- History_and_events |
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- History_and_events__By_continent |
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- History_and_events__By_period |
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- History_and_events__By_region |
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- Human_activites |
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- Human_activites__Human_activities |
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- Human_activites__Impact_of_human_activity |
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- Mathematics_and_logic |
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- Mathematics_and_logic__Fields_of_mathematics |
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- Mathematics_and_logic__Logic |
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- Mathematics_and_logic__Mathematics |
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- Natural_and_physical_sciences |
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- Natural_and_physical_sciences__Biology |
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- Natural_and_physical_sciences__Earth_sciences |
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- Natural_and_physical_sciences__Nature |
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- Natural_and_physical_sciences__Physical_sciences |
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- Philosophy |
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- Philosophy_and_thinking |
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- Philosophy_and_thinking__Philosophy |
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- Philosophy_and_thinking__Thinking |
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- Religion_and_belief_systems |
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- Religion_and_belief_systems__Allah |
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- Religion_and_belief_systems__Belief_systems |
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- Religion_and_belief_systems__Major_beliefs_of_the_world |
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- Society_and_social_sciences |
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- Society_and_social_sciences__Social_sciences |
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- Society_and_social_sciences__Society |
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- Technology_and_applied_sciences |
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- Technology_and_applied_sciences__Agriculture |
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- Technology_and_applied_sciences__Computing |
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- Technology_and_applied_sciences__Engineering |
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- Technology_and_applied_sciences__Transport |
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- alg-geom |
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- ao-sci |
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- astro-ph |
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- astro-ph.CO |
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- astro-ph.EP |
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- astro-ph.GA |
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- astro-ph.HE |
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- astro-ph.IM |
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- astro-ph.SR |
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- astro-ph_l1 |
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- atom-ph |
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- bayes-an |
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- chao-dyn |
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- chem-ph |
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- cmp-lg |
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- comp-gas |
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- cond-mat |
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- cond-mat.dis-nn |
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- cond-mat.mes-hall |
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- cond-mat.mtrl-sci |
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- cond-mat.other |
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- cond-mat.quant-gas |
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- cond-mat.soft |
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- cond-mat.stat-mech |
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- cond-mat.str-el |
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- cond-mat.supr-con |
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- cond-mat_l1 |
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- cs.AI |
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- cs.AR |
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- cs.CC |
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- cs.CE |
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- cs.CG |
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- cs.CL |
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- cs.CR |
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- cs.CV |
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- cs.CY |
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- cs.DB |
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- cs.DC |
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- cs.DL |
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- cs.DM |
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- cs.DS |
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- cs.ET |
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- cs.FL |
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- cs.GL |
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- cs.GR |
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- cs.GT |
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- cs.HC |
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- cs.IR |
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- cs.IT |
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- cs.LG |
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- cs.LO |
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- cs.MA |
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- cs.MM |
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- cs.MS |
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- cs.NA |
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- cs.NE |
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- cs.NI |
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- cs.OH |
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- cs.OS |
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- cs.PF |
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- cs.PL |
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- cs.RO |
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- cs.SC |
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- cs.SD |
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- cs.SE |
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- cs.SI |
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- cs.SY |
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- cs_l1 |
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- dg-ga |
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- econ.EM |
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- econ.GN |
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- econ.TH |
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- econ_l1 |
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- eess.AS |
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- eess.IV |
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- eess.SP |
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- eess.SY |
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- eess_l1 |
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- eval_sets |
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- funct-an |
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- gr-qc |
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- hep-ex |
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- hep-lat |
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- hep-ph |
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- hep-th |
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- math-ph |
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- math.AC |
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- math.AG |
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- math.AP |
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- math.AT |
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- math.CA |
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- math.CO |
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- math.CT |
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- math.CV |
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- math.DG |
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- math.DS |
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- math.FA |
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- math.GM |
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- math.GN |
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- math.GR |
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- math.GT |
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- math.HO |
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- math.IT |
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- math.KT |
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- math.LO |
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- math.MG |
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- math.MP |
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- math.NA |
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- math.NT |
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- math.OA |
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- math.OC |
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- math.PR |
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- math.QA |
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- math.RA |
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- math.RT |
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- math.SG |
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- math.SP |
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- math.ST |
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- math_l1 |
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- mtrl-th |
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- nlin.AO |
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- nlin.CD |
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- nlin.CG |
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- nlin.PS |
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- nlin.SI |
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- nlin_l1 |
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- nucl-ex |
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- nucl-th |
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- patt-sol |
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- physics.acc-ph |
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- physics.ao-ph |
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- physics.app-ph |
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- physics.atm-clus |
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- physics.atom-ph |
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- physics.bio-ph |
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- physics.chem-ph |
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- physics.class-ph |
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- physics.comp-ph |
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- physics.data-an |
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- physics.ed-ph |
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- physics.flu-dyn |
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- physics.gen-ph |
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- physics.geo-ph |
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- physics.hist-ph |
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- physics.ins-det |
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- physics.med-ph |
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- physics.optics |
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- physics.plasm-ph |
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- physics.pop-ph |
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- physics.soc-ph |
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- physics.space-ph |
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- physics_l1 |
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- plasm-ph |
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- q-alg |
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- q-bio |
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- q-bio.BM |
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- q-bio.CB |
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- q-bio.GN |
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- q-bio.MN |
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- q-bio.NC |
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- q-bio.OT |
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- q-bio.PE |
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- q-bio.QM |
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- q-bio.SC |
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- q-bio.TO |
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- q-bio_l1 |
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- q-fin.CP |
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- q-fin.EC |
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- q-fin.GN |
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- q-fin.MF |
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- q-fin.PM |
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- q-fin.PR |
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- q-fin.RM |
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- q-fin.ST |
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- q-fin.TR |
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- q-fin_l1 |
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- quant-ph |
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- solv-int |
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- stat.AP |
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- stat.CO |
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- stat.ME |
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- stat.ML |
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- stat.OT |
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- stat.TH |
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- stat_l1 |
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- supr-con |
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supr-con |
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## Citation |
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Please cite this work if you found this data useful. |
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```bib |
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@article{reid2022m2d2, |
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title = {M2D2: A Massively Multi-domain Language Modeling Dataset}, |
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author = {Machel Reid and Victor Zhong and Suchin Gururangan and Luke Zettlemoyer}, |
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year = {2022}, |
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journal = {arXiv preprint arXiv: Arxiv-2210.07370} |
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} |
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``` |
