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MineGPT — Structured, AI-processed global mining technical-report corpus: 7,367 NI 43-101 / SK-1300 / JORC-competent-person reports spanning 3,792 companies, 136 countries and 142 commodities, indexed and chunked with page-level citations, plus a company-project-commodity-person knowledge graph and model-derived project attributes (capex, production rate, dilution, recovery, infrastructure, emissions and water risks, with page references such as [p. 425]).. Micro-team with a mid-size proprietary corpus: a one-person (or near-one-person) operation that has ingested and structured nearly 7,400 …
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Structured, AI-processed global mining technical-report corpus: 7,367 NI 43-101 / SK-1300 / JORC-competent-person reports spanning 3,792 companies, 136 countries and 142 commodities, indexed and chunked with page-level citations, plus a company-project-commodity-person knowledge graph and model-derived project attributes (capex, production rate, dilution, recovery, infrastructure, emissions and water risks, with page references such as [p. 425]).
Scale Stated: 7From 25 yearsCoverage Materials · Information Technology
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MineGPT — Structured, AI-processed global mining technical-report corpus: 7,367 NI 43-101 / SK-1300 / JORC-competent-person reports spanning 3,792 companies, 136 countries and 142 commodities, indexed and chunked with page-level citations, plus a company-project-commodity-person knowledge graph and model-derived project attributes (capex, production rate, dilution, recovery, infrastructure, emissions and water risks, with page references such as [p. 425]).. Micro-team with a mid-size proprietary corpus: a one-person (or near-one-person) operation that has ingested and structured nearly 7,400 …
MineGPT offers (Alternative, Fundamental, Reference, ESG) — Stated: 7,367 technical reports, 3,792 companies, 136 countries, 142 commodities. At several hundred pages per technical report this implies a corpus on the order of 2-4 million document pages, plus the derived entity/relation graph over those reports..
Retrieval-augmented generation corpora for mining/finance LLM applications (page-cited technical answers); project pipeline and supply-gap modelling from feasibility-stage disclosures; critical-minerals (lithium, cobalt, REE, graphite, vanadium) project tracking; discovery of hidden Tier-2/3 mining exposures via the person/company graph; automated ESG and permitting risk screening of project designs; training structured extraction models on report text with page-grounded supervision.
The data is with 25 years of history.
Coverage spans Other, APAC, UK, US; Diversified Metals & Mining, Application Software; alternative, fundamental, reference, ESG; equities, commodities.
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