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README.md
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---
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configs:
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---
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# Multimodal Pretraining
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We hold the largest collection of academic thesis with currently 3,134,100 documents in PDF at a global scale.
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Our coverage extends significantly beyond western sources, with about half of our holding (1.5M documents) are not even indexed in leading scientific databases like OpenAlex. Typically, this includes 529,088 full-text thesis from India, 566,385 from Indonesia, and 172,260 thesis from Peru, all hardly
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The current sample include 1,015 thesis in pdf formats in 26 languages (English 252, Spanish 97, French 90, Hindi 82…) and most scientific disciplines, along with metadata and new transcriptions by a SOTA VLM for OCR within the language.
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configs:
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- config_name: global_academic_theses
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data_files:
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- split: train
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path: global_academic_theses/gac_sample_0*.parquet
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- config_name: youtube_commons
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data_files:
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- split: train
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path: youtube_commons/*.parquet
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- config_name: global_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: telecom
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data_files:
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- split: train
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path: telecom/*.parquet
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- config_name: finance
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data_files:
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- split: train
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path: finance/*.parquet
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- config_name: wikidata_seed
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data_files:
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- split: train
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path: wikidata_seed/*.parquet
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- config_name: personas
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data_files:
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- split: train
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path: personas/*.parquet
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- config_name: synthetic_social_media
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data_files:
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- split: train
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path: synthetic_social_media/*.parquet
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---
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# Multimodal Pretraining
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We hold the largest collection of academic thesis with currently 3,134,100 documents in PDF at a global scale.
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Our coverage extends significantly beyond western sources, with about half of our holding (1.5M documents) are not even indexed in leading scientific databases like OpenAlex. Typically, this includes 529,088 full-text thesis from India, 566,385 from Indonesia, and 172,260 thesis from Peru, all hardly indexed let alone collected. The collection is uniquely fitting for long horizon multimodal tasks.
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The current sample include 1,015 thesis in pdf formats in 26 languages (English 252, Spanish 97, French 90, Hindi 82…) and most scientific disciplines, along with metadata and new transcriptions by a SOTA VLM for OCR within the language.
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