Add token counts and mixing rates to readme
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README.md
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- config_name: default
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- split: train
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- "*/*.gz"
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- config_name: arxiv_abstracts
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data_files:
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- split: train
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path:
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- "arxiv_abstracts/*.gz"
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- config_name: arxiv_papers
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data_files:
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- split: train
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path:
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- "arxiv_papers/*.gz"
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- config_name: biodiversity_heritage_library
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data_files:
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- split: train
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path:
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- "biodiversity_heritage_library/*.gz"
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- config_name: caselaw_access_project
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data_files:
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- split: train
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path:
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- "caselaw_access_project/*.gz"
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- config_name: cccc
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data_files:
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- split: train
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path:
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- "cccc/*.gz"
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- config_name: data_provenance_initiative
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data_files:
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- split: train
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path:
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- "data_provenance_initiative/*.gz"
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- config_name: doab
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- split: train
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path:
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- "doab/*.gz"
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- config_name: foodista
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data_files:
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- split: train
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path:
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- "foodista/*.gz"
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- config_name: github_archive
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data_files:
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- split: train
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path:
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- "github_archive/*.gz"
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- config_name: library_of_congress
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data_files:
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- split: train
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path:
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- "library_of_congress/*.gz"
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- config_name: libretexts
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data_files:
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- split: train
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path:
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- "libretexts/*.gz"
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- config_name: news
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data_files:
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- split: train
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- "news/*.gz"
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- config_name: oercommons
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data_files:
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- split: train
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- "oercommons/*.gz"
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- config_name: peS2o
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data_files:
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- split: train
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path:
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- "peS2o/*.gz"
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- config_name: pre_1929_books
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data_files:
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- split: train
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- "pre_1929_books/*.gz"
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- config_name: pressbooks
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data_files:
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- split: train
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- "pressbooks/*.gz"
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- config_name: project_gutenberg
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data_files:
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- split: train
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- "project_gutenberg/*.gz"
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- config_name: public_domain_review
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data_files:
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- split: train
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- "public_domain_review/*.gz"
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- config_name: pubmed
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data_files:
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- split: train
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- "pubmed/*.gz"
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- config_name: python_enhancement_proposals
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data_files:
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- split: train
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- "python_enhancement_proposals/*.gz"
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- config_name: regulations
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- split: train
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- "regulations/*.gz"
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- config_name: stackexchange
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- split: train
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- "stackexchange/*.gz"
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- config_name: stackv2_edu
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data_files:
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- split: train
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- "stackv2_edu/*.gz"
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- config_name: stackv2_html
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data_files:
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- split: train
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- "stackv2_html/*.gz"
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- config_name: ubuntu_irc
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data_files:
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- split: train
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- "ubuntu_irc/*.gz"
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- config_name: uk_hansard
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data_files:
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- split: train
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- "uk_hansard/*.gz"
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- config_name: usgpo
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- split: train
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- "usgpo/*.gz"
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- config_name: uspto
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- split: train
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- "uspto/*.gz"
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- config_name: wikimedia
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data_files:
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- split: train
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- "wikimedia/*.gz"
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- config_name: wikiteam
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data_files:
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- split: train
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- "wikiteam/*.gz"
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- config_name: youtube
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data_files:
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- split: train
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- "youtube/*.gz"
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---
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# Comma v0.1 dataset
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This repository contains the dataset used to train [Comma v0.1-1T](https://huggingface.co/common-pile/comma-v0.1-1t) and [Comma v0.1-2T](https://huggingface.co/common-pile/comma-v0.1-2t).
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It is a slightly modified and consolidated version of the [Common Pile v0.1 "filtered" data](https://huggingface.co/collections/common-pile/common-pile-v01-filtered-data-68300bb0a946d10dda697663).
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If you are looknig for the raw Common Pile v0.1 data, please see [this collection](https://huggingface.co/collections/common-pile/common-pile-v01-raw-data-6826b454a5a6a445d0b51b37).
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You can learn more about Common Pile in [our paper](https://huggingface.co/papers/2506.05209).
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# Comma v0.1 dataset
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This repository contains the dataset used to train [Comma v0.1-1T](https://huggingface.co/common-pile/comma-v0.1-1t) and [Comma v0.1-2T](https://huggingface.co/common-pile/comma-v0.1-2t).
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It is a slightly modified and consolidated version of the [Common Pile v0.1 "filtered" data](https://huggingface.co/collections/common-pile/common-pile-v01-filtered-data-68300bb0a946d10dda697663).
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If you are looknig for the raw Common Pile v0.1 data, please see [this collection](https://huggingface.co/collections/common-pile/common-pile-v01-raw-data-6826b454a5a6a445d0b51b37).
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You can learn more about Common Pile in [our paper](https://huggingface.co/papers/2506.05209).
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## Mixing rates and token counts
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The Comma v0.1 models were trained in two stages, a "main" stage and a "cooldown" stage.
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During each stage, we heuristically set mixing rates to up or downweight different sources.
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In the two tables below, we provide per-source token count, repeat rate, and effective token count (after up/downweighting) for the main and cooldown stage of the Comma v0.1-1T training run.
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For the Comma v0.1-2T training run, all sources are repeated 2x as many times in both stages.
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| Main stage | Tokens (B) | Repeats | Effective tokens (B) |
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|-------------------------------|------------|---------|----------------------|
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| arxiv_abstracts | 0.57 | 6 | 3.4 |
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| arxiv_papers | 6.0 | 6 | 35.8 |
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| biodiversity_heritage_library | 9.8 | 0.25 | 2.5 |
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| caselaw_access_project | 19.7 | 1 | 19.7 |
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| cccc | 15.2 | 6 | 91.4 |
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| data_provenance_initiative | 0.92 | 6 | 5.5 |
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| doab | 3.0 | 6 | 18.2 |
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| foodista | 0.025 | 6 | 0.15 |
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| github_archive | 11.0 | 6 | 66.1 |
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| library_of_congress | 9.5 | 0.25 | 2.4 |
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| libretexts | 0.093 | 6 | 0.56 |
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| news | 0.064 | 6 | 0.38 |
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| oercommons | 0.012 | 6 | 0.07 |
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| peS2o | 43.3 | 6 | 260.0 |
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| pre_1929_books | 12.4 | 1 | 12.4 |
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| pressbooks | 0.14 | 6 | 0.86 |
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| project_gutenberg | 5.7 | 1 | 5.7 |
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| public_domain_review | 0.0017 | 6 | 0.010 |
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| pubmed | 36.6 | 1 | 36.6 |
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| python_enhancement_proposals | 0.0027 | 6 | 0.016 |
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| regulations | 1.4 | 6 | 8.2 |
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| stackexchange | 23.9 | 6 | 143.2 |
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| stackv2_edu | 67.8 | 2 | 135.5 |
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| stackv2_html | 1.2 | 2 | 2.5 |
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| ubuntu_irc | 1.9 | 6 | 11.1 |
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| uk_hansard | 2.3 | 6 | 14.0 |
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| usgpo | 8.8 | 0.25 | 2.2 |
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| uspto | 157.4 | 0.25 | 39.4 |
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| wikimedia | 15.8 | 6 | 94.7 |
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| wikiteam | 4.3 | 4 | 17.2 |
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| youtube | 4.7 | 1 | 4.7 |
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| Total | 463.6 | | 1034.4 |
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| Cooldown stage | Tokens (B) | Repeats | Effective tokens (B) |
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|------------------------------|------------|---------|----------------------|
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| arxiv_papers | 6.0 | 0.5 | 3.0 |
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| cccc | 15.2 | 0.3 | 4.6 |
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| data_provenance_initiative | 0.92 | 2 | 1.8 |
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| doab | 3.0 | 2 | 6.1 |
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| foodista | 0.025 | 2 | 0.05 |
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| libretexts | 0.093 | 2 | 0.19 |
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| news | 0.064 | 2 | 0.13 |
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| oercommons | 0.012 | 2 | 0.02 |
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| peS2o | 43.3 | 0.1 | 4.3 |
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| pressbooks | 0.14 | 2 | 0.29 |
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| public_domain_review | 0.0017 | 2 | 0.003 |
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| python_enhancement_proposals | 0.0027 | 2 | 0.005 |
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| stackexchange | 23.9 | 0.25 | 6.0 |
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| stackv2_edu | 67.8 | 0.1 | 6.8 |
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| wikimedia | 15.8 | 0.4 | 6.3 |
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| Total | 176.2 | | 39.5 |
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