{"id":"https://openalex.org/W7128625312","doi":"https://doi.org/10.48550/arxiv.2602.09914","title":"AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning","display_name":"AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning","publication_year":2026,"publication_date":"2026-02-10","ids":{"openalex":"https://openalex.org/W7128625312","doi":"https://doi.org/10.48550/arxiv.2602.09914"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.09914","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088171082","display_name":"Tilahun Yeshambel","orcid":"https://orcid.org/0000-0003-0599-262X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yeshambel, Tilahun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074290191","display_name":"Moncef Garouani","orcid":"https://orcid.org/0000-0003-2528-441X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garouani, Moncef","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5104522309","display_name":"Josiane Mothe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mothe, Josiane","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088171082"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2637999951839447,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2637999951839447,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.15960000455379486,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.11860000342130661,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/amharic","display_name":"Amharic","score":0.9789999723434448},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6909000277519226},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6504999995231628},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5386000275611877},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.484499990940094},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.40059998631477356}],"concepts":[{"id":"https://openalex.org/C2780900699","wikidata":"https://www.wikidata.org/wiki/Q28244","display_name":"Amharic","level":2,"score":0.9789999723434448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906000018119812},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6909000277519226},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6504999995231628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.560699999332428},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5386000275611877},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5045999884605408},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.484499990940094},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4050999879837036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40459999442100525},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3968000113964081},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27810001373291016},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C2982933515","wikidata":"https://www.wikidata.org/wiki/Q104381823","display_name":"Public access","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.09914","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.09914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.09914","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.09914","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5184053778648376,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Neural":[0],"retrieval":[1],"and":[2,39,59,65,75,91,105,123,130,135,141,151,162],"GPT-style":[3],"generative":[4,163],"models":[5],"rely":[6],"on":[7,35,158],"large,":[8],"high-quality":[9],"supervised":[10],"data,":[11],"which":[12],"is":[13],"still":[14],"scarce":[15],"for":[16,137],"low-resource":[17,178],"languages":[18],"such":[19],"as":[20],"Amharic.":[21],"We":[22,144],"release":[23,145],"an":[24],"Amharic":[25,57,117,159],"data":[26],"resource":[27],"consisting":[28],"of":[29,67,86],"two":[30],"datasets":[31,147,166],"that":[32,172],"supports":[33],"research":[34],"(i)":[36],"neural":[37,68,78],"retrieval-ranking":[38,45],"(ii)":[40],"instruction-following":[41],"text":[42],"generation.":[43],"The":[44,111],"dataset":[46,114],"contains":[47],"1,091":[48],"manually":[49],"verified":[50],"query-positive-negative":[51],"document":[52],"triplets":[53],"drawn":[54],"from":[55,98],"diverse":[56],"sources":[58],"constructed":[60],"to":[61,154,176],"support":[62],"contrastive":[63],"training":[64],"benchmarking":[66],"retrievers":[69],"(e.g.,":[70],"DPR,":[71],"ColBERT-style":[72],"late":[73],"interaction":[74],"SPLADE-style":[76],"sparse":[77],"retrieval).":[79],"Triplets":[80],"are":[81],"created":[82],"through":[83,132],"a":[84,170],"combination":[85],"expert-curated":[87],"queries,":[88,90],"web-derived":[89],"LLM-assisted":[92],"generation,":[93],"with":[94,127,148,169],"positive/negative":[95],"documents":[96],"selected":[97],"the":[99],"web":[100],"or":[101],"synthesized":[102],"by":[103,108],"LLMs":[104,129],"then":[106],"validated":[107],"native":[109],"speakers.":[110],"instruction":[112,124],"prompt-response":[113,118],"comprises":[115],"6,285":[116],"pairs":[119],"spanning":[120],"multiple":[121],"domains":[122],"types,":[125],"generated":[126],"several":[128],"refined":[131],"manual":[133],"review":[134],"correction":[136],"grammaticality,":[138],"relevance,":[139],"fluency,":[140],"factual":[142],"plausibility.":[143],"both":[146],"standardized":[149],"splits":[150],"formats":[152],"(CSV,JSON,JSONL)":[153],"enable":[155],"reproducible":[156],"work":[157],"retrieval,":[160],"ranking,":[161],"modelling.":[164],"These":[165],"also":[167],"come":[168],"methodology":[171],"can":[173],"be":[174],"generalized":[175],"other":[177],"languages.":[179]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-12T00:00:00"}