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README.md
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- config_name: epo_patents
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data_files:
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- split: train
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path:
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- config_name: eu_science
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data_files:
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- split: train
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## Telecom
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In partnership with GSMA we collected Telco-Common Corpus, currently the largest dataset of telecom data.
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Our internal asset includes the extent PDF and doc sources for multimodal training, as well as additional data collections for standard bodies like 3gpp or IEEE.
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The
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## Finance
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- config_name: epo_patents
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data_files:
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- split: train
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path: global_patents/*.parquet
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- config_name: eu_science
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data_files:
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- split: train
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## Telecom
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In partnership with GSMA we collected Telco-Common Corpus, currently the largest dataset of telecom data. It has been incorporated into the pretraining of Otel 2.0 by AT&T.
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Our internal asset includes the extent PDF and doc sources for multimodal training, as well as additional data collections for standard bodies like 3gpp or IEEE.
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The current sample includes 734 documents (49,954 pages and 15.6 million words, spanning 1999 to 2026) with the original PDF embedded in a single parquet file. Coverage includes 3GPP specifications and working-group contributions, IEEE Access papers, telecom scientific materials NTIA technical reports and World Bank ICT reports.
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## Finance
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