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Dataset · Text classification

open-text-detector-papers

by Alice woog/open-text-detector-papers

Full text of 125,153 machine-learning papers extracted from their PDFs: conference and journal submissions from OpenReview (accepted, rejected and withdrawn where public), used by Open Text Detector.

Rows383,289
Configurations3
Size11.9 GB
Licenseother
AccessPublicly accessible
Monthly Downloads—

Dataset Card

Full text of 125,153 machine-learning papers extracted from their PDFs: conference and journal submissions from OpenReview (accepted, rejected and withdrawn where public), used by Open Text Detector. - clean (default): the text layer after cleanup (positioned-clean-v2: hyphenation, headers/footers, page numbers and similar layout artefacts removed). - direct: the raw positioned text layer from poppler (pdftotext -bbox-layout), with page-level tesseract OCR only for pages without a usable text layer. method says which. - omissions: the clean text with non-prose content replaced by markers: figure text, tables, display equations, garbled inline math, number runs and the reference list.…

Excerpt from the card by Alice, licensed other.

Structure

clean 127,763 rows

SplitRowsSize
train127,76310.2 GB
paper_idstringopenreview_idstringtitlestringconferencestringyearint64pdf_sha256stringtextstringtext_sha256stringsource_text_sha256stringcleanup_versionstringflag_countint64stats_jsonstring

direct 127,763 rows

SplitRowsSize
train127,76311.1 GB
paper_idstringopenreview_idstringtitlestringconferencestringyearint64pdf_sha256stringtextstringtext_sha256stringmethodstringpagesint64

omissions 127,763 rows

SplitRowsSize
train127,76313.4 GB
paper_idstringopenreview_idstringtitlestringconferencestringyearint64pdf_sha256stringtextstringtext_sha256stringsource_clean_text_sha256stringomission_counts_jsonstringomissions_jsonstringchars_cleanint64chars_afterint64

Details

Repository
woog/open-text-detector-papers
Publisher
Alice
Task category
Text classification
Tags
scientific-papers, openreview, ai-text-detection
Size category
100K<n<1M
Languages
en
Revision
2d3819b1ec0880c6f9dbf7912055098813ac9811
Last updated
2026-10-15

Files

104 files, 11.9 GB in total.

Data102 files · 11.9 GB
Documentation1 file · 3.7 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
clean/colm-2024.parquetData8.4 MB14ec0cea78fe
clean/colm-2025.parquetData12.8 MB80a2b7739d23
clean/colm-2026.parquetData29.6 MB0fedf06ede9e
clean/corl-2021.parquetData2.5 MB42f9ccfeae7f
clean/corl-2022.parquetData3.2 MB5e6908bc7c2e
clean/corl-2023.parquetData4.6 MB1fa355700d52
clean/corl-2024.parquetData6.3 MB971530b84b85
clean/corl-2025.parquetData6.5 MB7d75642b6204
clean/emnlp-2023.parquetData45.7 MBc34802093ab6
clean/iclr-2013.parquetData749.0 KB3e73e82e1187
clean/iclr-2014.parquetData947.4 KBdabd2dbd4bb9
clean/iclr-2017.parquetData8.0 MB6b44fe5a2ce8
clean/iclr-2018.parquetData17.0 MB96265bbe4e37
clean/iclr-2019.parquetData29.1 MBac90584d6ec1
clean/iclr-2020.parquetData50.0 MB7b63c876d95c
clean/iclr-2021.parquetData64.1 MB4d23c3ce407c
clean/iclr-2022.parquetData80.1 MB627c35b5f5cb
clean/iclr-2023.parquetData118.0 MBa8e1e061d479
clean/iclr-2024.parquetData186.8 MBc19fc33675cc
clean/iclr-2025.parquetData329.8 MBaeaeef8c41c6
clean/iclr-2026.parquetData602.3 MBe7921b5cd775
clean/iclr-2027.parquetData1.5 GBbadbcdf5340c
clean/icml-2025.parquetData108.9 MB5deea6bce9d9
clean/icml-2026.parquetData233.1 MB1a930b58300e
clean/neurips-2021.parquetData51.2 MBdb3251d97985
clean/neurips-2022.parquetData57.1 MBec3ecd5bd75d
clean/neurips-2023.parquetData33.2 MB5f3128781900
clean/neurips-2024.parquetData37.9 MB7fa506a710fd
clean/neurips-2025.parquetData37.7 MBac77816d06ec
clean/tmlr-2022.parquetData6.8 MB3e6d13b2ac21
clean/tmlr-2023.parquetData18.9 MBd2c9dde9f613
clean/tmlr-2024.parquetData30.2 MB781d9f5710b1
clean/tmlr-2025.parquetData39.3 MB58579a89d0d9
clean/tmlr-2026.parquetData17.6 MB678cb68fa3ef
direct/colm-2024.parquetData8.7 MBaa1a00e5de0c
direct/colm-2025.parquetData13.2 MBa4627c346a4f
direct/colm-2026.parquetData30.5 MB9e2c6e346b2d
direct/corl-2021.parquetData2.6 MB16d1a9c52dd7
direct/corl-2022.parquetData3.3 MBa11657a2adbd
direct/corl-2023.parquetData4.7 MB37e19fbbb0b3
direct/corl-2024.parquetData6.5 MB1238f326fea2
direct/corl-2025.parquetData6.7 MB6e6da8875147
direct/emnlp-2023.parquetData48.2 MBd81157252933
direct/iclr-2013.parquetData768.8 KBf4ae40cb58b4
direct/iclr-2014.parquetData983.7 KB9fe457b644d4
direct/iclr-2017.parquetData8.2 MBcab8416a3d9b
direct/iclr-2018.parquetData17.6 MB041e347edc45
direct/iclr-2019.parquetData30.0 MBbd50575ac661
direct/iclr-2020.parquetData51.6 MBc7400c1ef1ff
direct/iclr-2021.parquetData66.3 MB4fd69a4ad1de
direct/iclr-2022.parquetData82.9 MB4d9a403832b0
direct/iclr-2023.parquetData122.0 MB6ab51243ff32
direct/iclr-2024.parquetData193.0 MBaa8d73c98196
direct/iclr-2025.parquetData357.5 MBc0944691969d
direct/iclr-2026.parquetData655.2 MBc8bec60f0df0
direct/iclr-2027.parquetData1.6 GB107e3d9c701e
direct/icml-2025.parquetData113.9 MB9e001fafa8ea
direct/icml-2026.parquetData242.7 MB53a988fa36ce
direct/neurips-2021.parquetData52.6 MB60ccd07aaaa9
direct/neurips-2022.parquetData58.6 MB6217adc9965d
direct/neurips-2023.parquetData34.2 MB13f5ae26e4a0
direct/neurips-2024.parquetData41.6 MB25df83fcad4f
direct/neurips-2025.parquetData41.6 MBa8dae1be0901
direct/tmlr-2022.parquetData7.0 MBd88c64c191a1
direct/tmlr-2023.parquetData19.5 MB5056937faba3
direct/tmlr-2024.parquetData31.1 MBc73179df4ecc
direct/tmlr-2025.parquetData40.5 MB2ffce6ce383e
direct/tmlr-2026.parquetData18.2 MB8d6804c2058a
omissions/colm-2024.parquetData7.7 MBec135fa4fbf2
omissions/colm-2025.parquetData12.1 MB036a6be3593b
omissions/colm-2026.parquetData29.3 MB50106eb0f70d
omissions/corl-2021.parquetData2.2 MB864bbfb89c86
omissions/corl-2022.parquetData2.8 MB70d69f56d3a1
omissions/corl-2023.parquetData4.3 MB9ca10698cb70
omissions/corl-2024.parquetData5.9 MB2a99c1f7e988
omissions/corl-2025.parquetData6.1 MB2a59d3c5d6ce
omissions/emnlp-2023.parquetData42.7 MBa069d399229d
omissions/iclr-2013.parquetData809.8 KB9a0d52222d8b
omissions/iclr-2014.parquetData957.7 KBcf5b76eb2b26
omissions/iclr-2017.parquetData8.2 MB8e1c69410cc4
omissions/iclr-2018.parquetData18.0 MB6ed2a92dd6fd
omissions/iclr-2019.parquetData30.7 MB2c7011dc8d94
omissions/iclr-2020.parquetData53.4 MBee9a209ef2b9
omissions/iclr-2021.parquetData69.0 MB78d0bda325d4
omissions/iclr-2022.parquetData87.2 MB2d0589c7e451
omissions/iclr-2023.parquetData127.2 MBa1194cc7710f
omissions/iclr-2024.parquetData197.6 MB2fd3060f90dc
omissions/iclr-2025.parquetData351.5 MB59e6cd4f5536
omissions/iclr-2026.parquetData634.6 MBfb7f0c3d2ca2
omissions/iclr-2027.parquetData1.6 GBaa51bf174184
omissions/icml-2025.parquetData129.6 MB12fcda1b6201
omissions/icml-2026.parquetData268.5 MB2a06c50cd3b0
omissions/neurips-2021.parquetData47.8 MB6abd3c713dcd
omissions/neurips-2022.parquetData52.6 MBbb119fbca0d4
omissions/neurips-2023.parquetData37.6 MB32c97abc21b9
omissions/neurips-2024.parquetData44.4 MBcedd76558c73
omissions/neurips-2025.parquetData41.9 MB37e0825d32ca
omissions/tmlr-2022.parquetData7.8 MBf0d01250266f
omissions/tmlr-2023.parquetData21.6 MBd90833f191ad
omissions/tmlr-2024.parquetData34.0 MB89fc86a2c921
omissions/tmlr-2025.parquetData43.5 MB7055f7987e9a
omissions/tmlr-2026.parquetData19.5 MB6d0a4956131e
README.mdDocumentation3.7 KB—
.gitattributesRepository2.5 KB—

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Access
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