Datasets:
annotations_creators: []
language_creators:
- crowdsourced
- expert-generated
language:
- code
license:
- other
multilinguality:
- multilingual
pretty_name: The-Stack-v2
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids: []
extra_gated_prompt: >-
## Terms of Use for The Stack v2
The Stack v2 dataset is a collection of source code in over 600 programming
languages. We ask that you read and acknowledge the following points before
using the dataset:
1. Downloading the dataset in bulk requires a an agreement with
SoftwareHeritage and INRIA. Contact
[[email protected]](mailto:[email protected]?subject=TheStackV2%20request%20for%20dataset%20access%20information)
for more information.
2. If you are using the dataset to train models you must adhere to the
SoftwareHeritage [principles for language model
training](https://www.softwareheritage.org/2023/10/19/swh-statement-on-llm-for-code/).
3. The Stack v2 is a collection of source code from repositories with various
licenses. Any use of all or part of the code gathered in The Stack v2 must
abide by the terms of the original licenses, including attribution clauses
when relevant. We facilitate this by providing provenance information for each
data point.
4. The Stack v2 is regularly updated to enact validated data removal requests.
By clicking on "Access repository", you agree to update your own version of
The Stack v2 to the most recent usable version.
By clicking on "Access repository" below, you accept that your contact
information (email address and username) can be shared with the dataset
maintainers as well.
extra_gated_fields:
Email: text
I have read the License and agree with its terms: checkbox
dataset_info:
features:
- name: blob_id
dtype: string
- name: directory_id
dtype: string
- name: path
dtype: string
- name: content_id
dtype: string
- name: detected_licenses
sequence: string
- name: license_type
dtype: string
- name: repo_name
dtype: string
- name: snapshot_id
dtype: string
- name: revision_id
dtype: string
- name: branch_name
dtype: string
- name: visit_date
dtype: timestamp[ns]
- name: revision_date
dtype: timestamp[ns]
- name: committer_date
dtype: timestamp[ns]
- name: github_id
dtype: int64
- name: star_events_count
dtype: int64
- name: fork_events_count
dtype: int64
- name: gha_license_id
dtype: string
- name: gha_event_created_at
dtype: timestamp[ns]
- name: gha_created_at
dtype: timestamp[ns]
- name: gha_language
dtype: string
- name: src_encoding
dtype: string
- name: language
dtype: string
- name: is_vendor
dtype: bool
- name: is_generated
dtype: bool
- name: length_bytes
dtype: int64
- name: extension
dtype: string
configs:
- config_name: default
default: true
data_files:
- split: train
path: data/*/*.parquet
- config_name: 1C_Enterprise
data_files:
- split: train
path: data/1C_Enterprise/*.parquet
- config_name: 2-Dimensional_Array
data_files:
- split: train
path: data/2-Dimensional_Array/*.parquet
- config_name: 4D
data_files:
- split: train
path: data/4D/*.parquet
- config_name: ABAP
data_files:
- split: train
path: data/ABAP/*.parquet
- config_name: ABAP_CDS
data_files:
- split: train
path: data/ABAP_CDS/*.parquet
- config_name: ABNF
data_files:
- split: train
path: data/ABNF/*.parquet
- config_name: AGS_Script
data_files:
- split: train
path: data/AGS_Script/*.parquet
- config_name: AIDL
data_files:
- split: train
path: data/AIDL/*.parquet
- config_name: AL
data_files:
- split: train
path: data/AL/*.parquet
- config_name: AMPL
data_files:
- split: train
path: data/AMPL/*.parquet
- config_name: ANTLR
data_files:
- split: train
path: data/ANTLR/*.parquet
- config_name: API_Blueprint
data_files:
- split: train
path: data/API_Blueprint/*.parquet
- config_name: APL
data_files:
- split: train
path: data/APL/*.parquet
- config_name: ASL
data_files:
- split: train
path: data/ASL/*.parquet
- config_name: ASN.1
data_files:
- split: train
path: data/ASN.1/*.parquet
- config_name: ASP.NET
data_files:
- split: train
path: data/ASP.NET/*.parquet
- config_name: ATS
data_files:
- split: train
path: data/ATS/*.parquet
- config_name: ActionScript
data_files:
- split: train
path: data/ActionScript/*.parquet
- config_name: Ada
data_files:
- split: train
path: data/Ada/*.parquet
- config_name: Adobe_Font_Metrics
data_files:
- split: train
path: data/Adobe_Font_Metrics/*.parquet
- config_name: Agda
data_files:
- split: train
path: data/Agda/*.parquet
- config_name: Alloy
data_files:
- split: train
path: data/Alloy/*.parquet
- config_name: Alpine_Abuild
data_files:
- split: train
path: data/Alpine_Abuild/*.parquet
- config_name: Altium_Designer
data_files:
- split: train
path: data/Altium_Designer/*.parquet
- config_name: AngelScript
data_files:
- split: train
path: data/AngelScript/*.parquet
- config_name: Ant_Build_System
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- split: train
path: data/Ant_Build_System/*.parquet
- config_name: Antlers
data_files:
- split: train
path: data/Antlers/*.parquet
- config_name: ApacheConf
data_files:
- split: train
path: data/ApacheConf/*.parquet
- config_name: Apex
data_files:
- split: train
path: data/Apex/*.parquet
- config_name: Apollo_Guidance_Computer
data_files:
- split: train
path: data/Apollo_Guidance_Computer/*.parquet
- config_name: AppleScript
data_files:
- split: train
path: data/AppleScript/*.parquet
- config_name: Arc
data_files:
- split: train
path: data/Arc/*.parquet
- config_name: AsciiDoc
data_files:
- split: train
path: data/AsciiDoc/*.parquet
- config_name: AspectJ
data_files:
- split: train
path: data/AspectJ/*.parquet
- config_name: Assembly
data_files:
- split: train
path: data/Assembly/*.parquet
- config_name: Astro
data_files:
- split: train
path: data/Astro/*.parquet
- config_name: Asymptote
data_files:
- split: train
path: data/Asymptote/*.parquet
- config_name: Augeas
data_files:
- split: train
path: data/Augeas/*.parquet
- config_name: AutoHotkey
data_files:
- split: train
path: data/AutoHotkey/*.parquet
- config_name: AutoIt
data_files:
- split: train
path: data/AutoIt/*.parquet
- config_name: Avro_IDL
data_files:
- split: train
path: data/Avro_IDL/*.parquet
- config_name: Awk
data_files:
- split: train
path: data/Awk/*.parquet
- config_name: BASIC
data_files:
- split: train
path: data/BASIC/*.parquet
- config_name: Ballerina
data_files:
- split: train
path: data/Ballerina/*.parquet
- config_name: Batchfile
data_files:
- split: train
path: data/Batchfile/*.parquet
- config_name: Beef
data_files:
- split: train
path: data/Beef/*.parquet
- config_name: Befunge
data_files:
- split: train
path: data/Befunge/*.parquet
- config_name: Berry
data_files:
- split: train
path: data/Berry/*.parquet
- config_name: BibTeX
data_files:
- split: train
path: data/BibTeX/*.parquet
- config_name: Bicep
data_files:
- split: train
path: data/Bicep/*.parquet
- config_name: Bikeshed
data_files:
- split: train
path: data/Bikeshed/*.parquet
- config_name: Bison
data_files:
- split: train
path: data/Bison/*.parquet
- config_name: BitBake
data_files:
- split: train
path: data/BitBake/*.parquet
- config_name: Blade
data_files:
- split: train
path: data/Blade/*.parquet
- config_name: BlitzBasic
data_files:
- split: train
path: data/BlitzBasic/*.parquet
- config_name: BlitzMax
data_files:
- split: train
path: data/BlitzMax/*.parquet
- config_name: Bluespec
data_files:
- split: train
path: data/Bluespec/*.parquet
- config_name: Boo
data_files:
- split: train
path: data/Boo/*.parquet
- config_name: Boogie
data_files:
- split: train
path: data/Boogie/*.parquet
- config_name: Brainfuck
data_files:
- split: train
path: data/Brainfuck/*.parquet
- config_name: BrighterScript
data_files:
- split: train
path: data/BrighterScript/*.parquet
- config_name: Brightscript
data_files:
- split: train
path: data/Brightscript/*.parquet
- config_name: Browserslist
data_files:
- split: train
path: data/Browserslist/*.parquet
- config_name: C
data_files:
- split: train
path: data/C/*.parquet
- config_name: C++
data_files:
- split: train
path: data/C++/*.parquet
- config_name: C-ObjDump
data_files:
- split: train
path: data/C-ObjDump/*.parquet
- config_name: C-Sharp
data_files:
- split: train
path: data/C-Sharp/*.parquet
- config_name: C2hs_Haskell
data_files:
- split: train
path: data/C2hs_Haskell/*.parquet
- config_name: CAP_CDS
data_files:
- split: train
path: data/CAP_CDS/*.parquet
- config_name: CIL
data_files:
- split: train
path: data/CIL/*.parquet
- config_name: CLIPS
data_files:
- split: train
path: data/CLIPS/*.parquet
- config_name: CMake
data_files:
- split: train
path: data/CMake/*.parquet
- config_name: COBOL
data_files:
- split: train
path: data/COBOL/*.parquet
- config_name: CODEOWNERS
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- split: train
path: data/CODEOWNERS/*.parquet
- config_name: COLLADA
data_files:
- split: train
path: data/COLLADA/*.parquet
- config_name: CSON
data_files:
- split: train
path: data/CSON/*.parquet
- config_name: CSS
data_files:
- split: train
path: data/CSS/*.parquet
- config_name: CSV
data_files:
- split: train
path: data/CSV/*.parquet
- config_name: CUE
data_files:
- split: train
path: data/CUE/*.parquet
- config_name: CWeb
data_files:
- split: train
path: data/CWeb/*.parquet
- config_name: Cabal_Config
data_files:
- split: train
path: data/Cabal_Config/*.parquet
- config_name: Cadence
data_files:
- split: train
path: data/Cadence/*.parquet
- config_name: Cairo
data_files:
- split: train
path: data/Cairo/*.parquet
- config_name: CameLIGO
data_files:
- split: train
path: data/CameLIGO/*.parquet
- config_name: Cap-n_Proto
data_files:
- split: train
path: data/Cap-n_Proto/*.parquet
- config_name: CartoCSS
data_files:
- split: train
path: data/CartoCSS/*.parquet
- config_name: Ceylon
data_files:
- split: train
path: data/Ceylon/*.parquet
- config_name: Chapel
data_files:
- split: train
path: data/Chapel/*.parquet
- config_name: Charity
data_files:
- split: train
path: data/Charity/*.parquet
- config_name: Checksums
data_files:
- split: train
path: data/Checksums/*.parquet
- config_name: ChucK
data_files:
- split: train
path: data/ChucK/*.parquet
- config_name: Cirru
data_files:
- split: train
path: data/Cirru/*.parquet
- config_name: Clarion
data_files:
- split: train
path: data/Clarion/*.parquet
- config_name: Clarity
data_files:
- split: train
path: data/Clarity/*.parquet
- config_name: Classic_ASP
data_files:
- split: train
path: data/Classic_ASP/*.parquet
- config_name: Clean
data_files:
- split: train
path: data/Clean/*.parquet
- config_name: Click
data_files:
- split: train
path: data/Click/*.parquet
- config_name: Clojure
data_files:
- split: train
path: data/Clojure/*.parquet
- config_name: Closure_Templates
data_files:
- split: train
path: data/Closure_Templates/*.parquet
- config_name: Cloud_Firestore_Security_Rules
data_files:
- split: train
path: data/Cloud_Firestore_Security_Rules/*.parquet
- config_name: CoNLL-U
data_files:
- split: train
path: data/CoNLL-U/*.parquet
- config_name: CodeQL
data_files:
- split: train
path: data/CodeQL/*.parquet
- config_name: CoffeeScript
data_files:
- split: train
path: data/CoffeeScript/*.parquet
- config_name: ColdFusion
data_files:
- split: train
path: data/ColdFusion/*.parquet
- config_name: ColdFusion_CFC
data_files:
- split: train
path: data/ColdFusion_CFC/*.parquet
- config_name: Common_Lisp
data_files:
- split: train
path: data/Common_Lisp/*.parquet
- config_name: Common_Workflow_Language
data_files:
- split: train
path: data/Common_Workflow_Language/*.parquet
- config_name: Component_Pascal
data_files:
- split: train
path: data/Component_Pascal/*.parquet
- config_name: Cool
data_files:
- split: train
path: data/Cool/*.parquet
- config_name: Coq
data_files:
- split: train
path: data/Coq/*.parquet
- config_name: Creole
data_files:
- split: train
path: data/Creole/*.parquet
- config_name: Crystal
data_files:
- split: train
path: data/Crystal/*.parquet
- config_name: Csound
data_files:
- split: train
path: data/Csound/*.parquet
- config_name: Csound_Document
data_files:
- split: train
path: data/Csound_Document/*.parquet
- config_name: Csound_Score
data_files:
- split: train
path: data/Csound_Score/*.parquet
- config_name: Cuda
data_files:
- split: train
path: data/Cuda/*.parquet
- config_name: Cue_Sheet
data_files:
- split: train
path: data/Cue_Sheet/*.parquet
- config_name: Curry
data_files:
- split: train
path: data/Curry/*.parquet
- config_name: Cycript
data_files:
- split: train
path: data/Cycript/*.parquet
- config_name: Cython
data_files:
- split: train
path: data/Cython/*.parquet
- config_name: D
data_files:
- split: train
path: data/D/*.parquet
- config_name: DIGITAL_Command_Language
data_files:
- split: train
path: data/DIGITAL_Command_Language/*.parquet
- config_name: DM
data_files:
- split: train
path: data/DM/*.parquet
- config_name: DNS_Zone
data_files:
- split: train
path: data/DNS_Zone/*.parquet
- config_name: DTrace
data_files:
- split: train
path: data/DTrace/*.parquet
- config_name: Dafny
data_files:
- split: train
path: data/Dafny/*.parquet
- config_name: Darcs_Patch
data_files:
- split: train
path: data/Darcs_Patch/*.parquet
- config_name: Dart
data_files:
- split: train
path: data/Dart/*.parquet
- config_name: DataWeave
data_files:
- split: train
path: data/DataWeave/*.parquet
- config_name: Debian_Package_Control_File
data_files:
- split: train
path: data/Debian_Package_Control_File/*.parquet
- config_name: DenizenScript
data_files:
- split: train
path: data/DenizenScript/*.parquet
- config_name: Dhall
data_files:
- split: train
path: data/Dhall/*.parquet
- config_name: Diff
data_files:
- split: train
path: data/Diff/*.parquet
- config_name: DirectX_3D_File
data_files:
- split: train
path: data/DirectX_3D_File/*.parquet
- config_name: Dockerfile
data_files:
- split: train
path: data/Dockerfile/*.parquet
- config_name: Dogescript
data_files:
- split: train
path: data/Dogescript/*.parquet
- config_name: Dylan
data_files:
- split: train
path: data/Dylan/*.parquet
- config_name: E
data_files:
- split: train
path: data/E/*.parquet
- config_name: E-mail
data_files:
- split: train
path: data/E-mail/*.parquet
- config_name: EBNF
data_files:
- split: train
path: data/EBNF/*.parquet
- config_name: ECL
data_files:
- split: train
path: data/ECL/*.parquet
- config_name: ECLiPSe
data_files:
- split: train
path: data/ECLiPSe/*.parquet
- config_name: EJS
data_files:
- split: train
path: data/EJS/*.parquet
- config_name: EQ
data_files:
- split: train
path: data/EQ/*.parquet
- config_name: Eagle
data_files:
- split: train
path: data/Eagle/*.parquet
- config_name: Earthly
data_files:
- split: train
path: data/Earthly/*.parquet
- config_name: Easybuild
data_files:
- split: train
path: data/Easybuild/*.parquet
- config_name: Ecere_Projects
data_files:
- split: train
path: data/Ecere_Projects/*.parquet
- config_name: EditorConfig
data_files:
- split: train
path: data/EditorConfig/*.parquet
- config_name: Edje_Data_Collection
data_files:
- split: train
path: data/Edje_Data_Collection/*.parquet
- config_name: Eiffel
data_files:
- split: train
path: data/Eiffel/*.parquet
- config_name: Elixir
data_files:
- split: train
path: data/Elixir/*.parquet
- config_name: Elm
data_files:
- split: train
path: data/Elm/*.parquet
- config_name: Elvish
data_files:
- split: train
path: data/Elvish/*.parquet
- config_name: Emacs_Lisp
data_files:
- split: train
path: data/Emacs_Lisp/*.parquet
- config_name: EmberScript
data_files:
- split: train
path: data/EmberScript/*.parquet
- config_name: Erlang
data_files:
- split: train
path: data/Erlang/*.parquet
- config_name: Euphoria
data_files:
- split: train
path: data/Euphoria/*.parquet
- config_name: F-Sharp
data_files:
- split: train
path: data/F-Sharp/*.parquet
- config_name: F-Star
data_files:
- split: train
path: data/F-Star/*.parquet
- config_name: FIGlet_Font
data_files:
- split: train
path: data/FIGlet_Font/*.parquet
- config_name: FLUX
data_files:
- split: train
path: data/FLUX/*.parquet
- config_name: Factor
data_files:
- split: train
path: data/Factor/*.parquet
- config_name: Fancy
data_files:
- split: train
path: data/Fancy/*.parquet
- config_name: Fantom
data_files:
- split: train
path: data/Fantom/*.parquet
- config_name: Faust
data_files:
- split: train
path: data/Faust/*.parquet
- config_name: Fennel
data_files:
- split: train
path: data/Fennel/*.parquet
- config_name: Filebench_WML
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- split: train
path: data/Filebench_WML/*.parquet
- config_name: Filterscript
data_files:
- split: train
path: data/Filterscript/*.parquet
- config_name: Fluent
data_files:
- split: train
path: data/Fluent/*.parquet
- config_name: Formatted
data_files:
- split: train
path: data/Formatted/*.parquet
- config_name: Forth
data_files:
- split: train
path: data/Forth/*.parquet
- config_name: Fortran
data_files:
- split: train
path: data/Fortran/*.parquet
- config_name: Fortran_Free_Form
data_files:
- split: train
path: data/Fortran_Free_Form/*.parquet
- config_name: FreeBasic
data_files:
- split: train
path: data/FreeBasic/*.parquet
- config_name: FreeMarker
data_files:
- split: train
path: data/FreeMarker/*.parquet
- config_name: Frege
data_files:
- split: train
path: data/Frege/*.parquet
- config_name: Futhark
data_files:
- split: train
path: data/Futhark/*.parquet
- config_name: G-code
data_files:
- split: train
path: data/G-code/*.parquet
- config_name: GAML
data_files:
- split: train
path: data/GAML/*.parquet
- config_name: GAMS
data_files:
- split: train
path: data/GAMS/*.parquet
- config_name: GAP
data_files:
- split: train
path: data/GAP/*.parquet
- config_name: GCC_Machine_Description
data_files:
- split: train
path: data/GCC_Machine_Description/*.parquet
- config_name: GDB
data_files:
- split: train
path: data/GDB/*.parquet
- config_name: GDScript
data_files:
- split: train
path: data/GDScript/*.parquet
- config_name: GEDCOM
data_files:
- split: train
path: data/GEDCOM/*.parquet
- config_name: GLSL
data_files:
- split: train
path: data/GLSL/*.parquet
- config_name: GN
data_files:
- split: train
path: data/GN/*.parquet
- config_name: GSC
data_files:
- split: train
path: data/GSC/*.parquet
- config_name: Game_Maker_Language
data_files:
- split: train
path: data/Game_Maker_Language/*.parquet
- config_name: Gemfile.lock
data_files:
- split: train
path: data/Gemfile.lock/*.parquet
- config_name: Gemini
data_files:
- split: train
path: data/Gemini/*.parquet
- config_name: Genero
data_files:
- split: train
path: data/Genero/*.parquet
- config_name: Genero_Forms
data_files:
- split: train
path: data/Genero_Forms/*.parquet
- config_name: Genie
data_files:
- split: train
path: data/Genie/*.parquet
- config_name: Genshi
data_files:
- split: train
path: data/Genshi/*.parquet
- config_name: Gentoo_Ebuild
data_files:
- split: train
path: data/Gentoo_Ebuild/*.parquet
- config_name: Gentoo_Eclass
data_files:
- split: train
path: data/Gentoo_Eclass/*.parquet
- config_name: Gerber_Image
data_files:
- split: train
path: data/Gerber_Image/*.parquet
- config_name: Gettext_Catalog
data_files:
- split: train
path: data/Gettext_Catalog/*.parquet
- config_name: Gherkin
data_files:
- split: train
path: data/Gherkin/*.parquet
- config_name: Git_Attributes
data_files:
- split: train
path: data/Git_Attributes/*.parquet
- config_name: Git_Config
data_files:
- split: train
path: data/Git_Config/*.parquet
- config_name: Git_Revision_List
data_files:
- split: train
path: data/Git_Revision_List/*.parquet
- config_name: Gleam
data_files:
- split: train
path: data/Gleam/*.parquet
- config_name: Glyph
data_files:
- split: train
path: data/Glyph/*.parquet
- config_name: Glyph_Bitmap_Distribution_Format
data_files:
- split: train
path: data/Glyph_Bitmap_Distribution_Format/*.parquet
- config_name: Gnuplot
data_files:
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- config_name: Public_Key
data_files:
- split: train
path: data/Public_Key/*.parquet
- config_name: Pug
data_files:
- split: train
path: data/Pug/*.parquet
- config_name: Puppet
data_files:
- split: train
path: data/Puppet/*.parquet
- config_name: PureBasic
data_files:
- split: train
path: data/PureBasic/*.parquet
- config_name: PureScript
data_files:
- split: train
path: data/PureScript/*.parquet
- config_name: Pure_Data
data_files:
- split: train
path: data/Pure_Data/*.parquet
- config_name: Python
data_files:
- split: train
path: data/Python/*.parquet
- config_name: Python_traceback
data_files:
- split: train
path: data/Python_traceback/*.parquet
- config_name: Q-Sharp
data_files:
- split: train
path: data/Q-Sharp/*.parquet
- config_name: QML
data_files:
- split: train
path: data/QML/*.parquet
- config_name: QMake
data_files:
- split: train
path: data/QMake/*.parquet
- config_name: Qt_Script
data_files:
- split: train
path: data/Qt_Script/*.parquet
- config_name: Quake
data_files:
- split: train
path: data/Quake/*.parquet
- config_name: R
data_files:
- split: train
path: data/R/*.parquet
- config_name: RAML
data_files:
- split: train
path: data/RAML/*.parquet
- config_name: RDoc
data_files:
- split: train
path: data/RDoc/*.parquet
- config_name: REALbasic
data_files:
- split: train
path: data/REALbasic/*.parquet
- config_name: REXX
data_files:
- split: train
path: data/REXX/*.parquet
- config_name: RMarkdown
data_files:
- split: train
path: data/RMarkdown/*.parquet
- config_name: RPC
data_files:
- split: train
path: data/RPC/*.parquet
- config_name: RPGLE
data_files:
- split: train
path: data/RPGLE/*.parquet
- config_name: RPM_Spec
data_files:
- split: train
path: data/RPM_Spec/*.parquet
- config_name: RUNOFF
data_files:
- split: train
path: data/RUNOFF/*.parquet
- config_name: Racket
data_files:
- split: train
path: data/Racket/*.parquet
- config_name: Ragel
data_files:
- split: train
path: data/Ragel/*.parquet
- config_name: Raku
data_files:
- split: train
path: data/Raku/*.parquet
- config_name: Rascal
data_files:
- split: train
path: data/Rascal/*.parquet
- config_name: Raw_token_data
data_files:
- split: train
path: data/Raw_token_data/*.parquet
- config_name: ReScript
data_files:
- split: train
path: data/ReScript/*.parquet
- config_name: Readline_Config
data_files:
- split: train
path: data/Readline_Config/*.parquet
- config_name: Reason
data_files:
- split: train
path: data/Reason/*.parquet
- config_name: ReasonLIGO
data_files:
- split: train
path: data/ReasonLIGO/*.parquet
- config_name: Rebol
data_files:
- split: train
path: data/Rebol/*.parquet
- config_name: Record_Jar
data_files:
- split: train
path: data/Record_Jar/*.parquet
- config_name: Red
data_files:
- split: train
path: data/Red/*.parquet
- config_name: Redcode
data_files:
- split: train
path: data/Redcode/*.parquet
- config_name: Redirect_Rules
data_files:
- split: train
path: data/Redirect_Rules/*.parquet
- config_name: Regular_Expression
data_files:
- split: train
path: data/Regular_Expression/*.parquet
- config_name: Ren-Py
data_files:
- split: train
path: data/Ren-Py/*.parquet
- config_name: RenderScript
data_files:
- split: train
path: data/RenderScript/*.parquet
- config_name: Rich_Text_Format
data_files:
- split: train
path: data/Rich_Text_Format/*.parquet
- config_name: Ring
data_files:
- split: train
path: data/Ring/*.parquet
- config_name: Riot
data_files:
- split: train
path: data/Riot/*.parquet
- config_name: RobotFramework
data_files:
- split: train
path: data/RobotFramework/*.parquet
- config_name: Roff
data_files:
- split: train
path: data/Roff/*.parquet
- config_name: Roff_Manpage
data_files:
- split: train
path: data/Roff_Manpage/*.parquet
- config_name: Rouge
data_files:
- split: train
path: data/Rouge/*.parquet
- config_name: RouterOS_Script
data_files:
- split: train
path: data/RouterOS_Script/*.parquet
- config_name: Ruby
data_files:
- split: train
path: data/Ruby/*.parquet
- config_name: Rust
data_files:
- split: train
path: data/Rust/*.parquet
- config_name: SAS
data_files:
- split: train
path: data/SAS/*.parquet
- config_name: SCSS
data_files:
- split: train
path: data/SCSS/*.parquet
- config_name: SELinux_Policy
data_files:
- split: train
path: data/SELinux_Policy/*.parquet
- config_name: SMT
data_files:
- split: train
path: data/SMT/*.parquet
- config_name: SPARQL
data_files:
- split: train
path: data/SPARQL/*.parquet
- config_name: SQF
data_files:
- split: train
path: data/SQF/*.parquet
- config_name: SQL
data_files:
- split: train
path: data/SQL/*.parquet
- config_name: SQLPL
data_files:
- split: train
path: data/SQLPL/*.parquet
- config_name: SRecode_Template
data_files:
- split: train
path: data/SRecode_Template/*.parquet
- config_name: SSH_Config
data_files:
- split: train
path: data/SSH_Config/*.parquet
- config_name: STAR
data_files:
- split: train
path: data/STAR/*.parquet
- config_name: STL
data_files:
- split: train
path: data/STL/*.parquet
- config_name: STON
data_files:
- split: train
path: data/STON/*.parquet
- config_name: SVG
data_files:
- split: train
path: data/SVG/*.parquet
- config_name: SWIG
data_files:
- split: train
path: data/SWIG/*.parquet
- config_name: Sage
data_files:
- split: train
path: data/Sage/*.parquet
- config_name: SaltStack
data_files:
- split: train
path: data/SaltStack/*.parquet
- config_name: Sass
data_files:
- split: train
path: data/Sass/*.parquet
- config_name: Scala
data_files:
- split: train
path: data/Scala/*.parquet
- config_name: Scaml
data_files:
- split: train
path: data/Scaml/*.parquet
- config_name: Scheme
data_files:
- split: train
path: data/Scheme/*.parquet
- config_name: Scilab
data_files:
- split: train
path: data/Scilab/*.parquet
- config_name: Self
data_files:
- split: train
path: data/Self/*.parquet
- config_name: ShaderLab
data_files:
- split: train
path: data/ShaderLab/*.parquet
- config_name: Shell
data_files:
- split: train
path: data/Shell/*.parquet
- config_name: ShellCheck_Config
data_files:
- split: train
path: data/ShellCheck_Config/*.parquet
- config_name: ShellSession
data_files:
- split: train
path: data/ShellSession/*.parquet
- config_name: Shen
data_files:
- split: train
path: data/Shen/*.parquet
- config_name: Sieve
data_files:
- split: train
path: data/Sieve/*.parquet
- config_name: Singularity
data_files:
- split: train
path: data/Singularity/*.parquet
- config_name: Slash
data_files:
- split: train
path: data/Slash/*.parquet
- config_name: Slice
data_files:
- split: train
path: data/Slice/*.parquet
- config_name: Slim
data_files:
- split: train
path: data/Slim/*.parquet
- config_name: SmPL
data_files:
- split: train
path: data/SmPL/*.parquet
- config_name: Smali
data_files:
- split: train
path: data/Smali/*.parquet
- config_name: Smalltalk
data_files:
- split: train
path: data/Smalltalk/*.parquet
- config_name: Smarty
data_files:
- split: train
path: data/Smarty/*.parquet
- config_name: Solidity
data_files:
- split: train
path: data/Solidity/*.parquet
- config_name: Soong
data_files:
- split: train
path: data/Soong/*.parquet
- config_name: SourcePawn
data_files:
- split: train
path: data/SourcePawn/*.parquet
- config_name: Spline_Font_Database
data_files:
- split: train
path: data/Spline_Font_Database/*.parquet
- config_name: Squirrel
data_files:
- split: train
path: data/Squirrel/*.parquet
- config_name: Stan
data_files:
- split: train
path: data/Stan/*.parquet
- config_name: Standard_ML
data_files:
- split: train
path: data/Standard_ML/*.parquet
- config_name: Starlark
data_files:
- split: train
path: data/Starlark/*.parquet
- config_name: Stata
data_files:
- split: train
path: data/Stata/*.parquet
- config_name: StringTemplate
data_files:
- split: train
path: data/StringTemplate/*.parquet
- config_name: Stylus
data_files:
- split: train
path: data/Stylus/*.parquet
- config_name: SubRip_Text
data_files:
- split: train
path: data/SubRip_Text/*.parquet
- config_name: SugarSS
data_files:
- split: train
path: data/SugarSS/*.parquet
- config_name: SuperCollider
data_files:
- split: train
path: data/SuperCollider/*.parquet
- config_name: Svelte
data_files:
- split: train
path: data/Svelte/*.parquet
- config_name: Swift
data_files:
- split: train
path: data/Swift/*.parquet
- config_name: SystemVerilog
data_files:
- split: train
path: data/SystemVerilog/*.parquet
- config_name: TI_Program
data_files:
- split: train
path: data/TI_Program/*.parquet
- config_name: TLA
data_files:
- split: train
path: data/TLA/*.parquet
- config_name: TOML
data_files:
- split: train
path: data/TOML/*.parquet
- config_name: TSQL
data_files:
- split: train
path: data/TSQL/*.parquet
- config_name: TSV
data_files:
- split: train
path: data/TSV/*.parquet
- config_name: TSX
data_files:
- split: train
path: data/TSX/*.parquet
- config_name: TXL
data_files:
- split: train
path: data/TXL/*.parquet
- config_name: Talon
data_files:
- split: train
path: data/Talon/*.parquet
- config_name: Tcl
data_files:
- split: train
path: data/Tcl/*.parquet
- config_name: Tcsh
data_files:
- split: train
path: data/Tcsh/*.parquet
- config_name: TeX
data_files:
- split: train
path: data/TeX/*.parquet
- config_name: Tea
data_files:
- split: train
path: data/Tea/*.parquet
- config_name: Terra
data_files:
- split: train
path: data/Terra/*.parquet
- config_name: Texinfo
data_files:
- split: train
path: data/Texinfo/*.parquet
- config_name: Text
data_files:
- split: train
path: data/Text/*.parquet
- config_name: TextMate_Properties
data_files:
- split: train
path: data/TextMate_Properties/*.parquet
- config_name: Textile
data_files:
- split: train
path: data/Textile/*.parquet
- config_name: Thrift
data_files:
- split: train
path: data/Thrift/*.parquet
- config_name: Turing
data_files:
- split: train
path: data/Turing/*.parquet
- config_name: Turtle
data_files:
- split: train
path: data/Turtle/*.parquet
- config_name: Twig
data_files:
- split: train
path: data/Twig/*.parquet
- config_name: TypeScript
data_files:
- split: train
path: data/TypeScript/*.parquet
- config_name: Type_Language
data_files:
- split: train
path: data/Type_Language/*.parquet
- config_name: Unified_Parallel_C
data_files:
- split: train
path: data/Unified_Parallel_C/*.parquet
- config_name: Unity3D_Asset
data_files:
- split: train
path: data/Unity3D_Asset/*.parquet
- config_name: Unix_Assembly
data_files:
- split: train
path: data/Unix_Assembly/*.parquet
- config_name: Uno
data_files:
- split: train
path: data/Uno/*.parquet
- config_name: UnrealScript
data_files:
- split: train
path: data/UnrealScript/*.parquet
- config_name: UrWeb
data_files:
- split: train
path: data/UrWeb/*.parquet
- config_name: V
data_files:
- split: train
path: data/V/*.parquet
- config_name: VBA
data_files:
- split: train
path: data/VBA/*.parquet
- config_name: VBScript
data_files:
- split: train
path: data/VBScript/*.parquet
- config_name: VCL
data_files:
- split: train
path: data/VCL/*.parquet
- config_name: VHDL
data_files:
- split: train
path: data/VHDL/*.parquet
- config_name: Vala
data_files:
- split: train
path: data/Vala/*.parquet
- config_name: Valve_Data_Format
data_files:
- split: train
path: data/Valve_Data_Format/*.parquet
- config_name: Velocity_Template_Language
data_files:
- split: train
path: data/Velocity_Template_Language/*.parquet
- config_name: Verilog
data_files:
- split: train
path: data/Verilog/*.parquet
- config_name: Vim_Help_File
data_files:
- split: train
path: data/Vim_Help_File/*.parquet
- config_name: Vim_Script
data_files:
- split: train
path: data/Vim_Script/*.parquet
- config_name: Vim_Snippet
data_files:
- split: train
path: data/Vim_Snippet/*.parquet
- config_name: Visual_Basic_.NET
data_files:
- split: train
path: data/Visual_Basic_.NET/*.parquet
- config_name: Volt
data_files:
- split: train
path: data/Volt/*.parquet
- config_name: Vue
data_files:
- split: train
path: data/Vue/*.parquet
- config_name: Vyper
data_files:
- split: train
path: data/Vyper/*.parquet
- config_name: Wavefront_Material
data_files:
- split: train
path: data/Wavefront_Material/*.parquet
- config_name: Wavefront_Object
data_files:
- split: train
path: data/Wavefront_Object/*.parquet
- config_name: WebAssembly
data_files:
- split: train
path: data/WebAssembly/*.parquet
- config_name: WebIDL
data_files:
- split: train
path: data/WebIDL/*.parquet
- config_name: WebVTT
data_files:
- split: train
path: data/WebVTT/*.parquet
- config_name: Web_Ontology_Language
data_files:
- split: train
path: data/Web_Ontology_Language/*.parquet
- config_name: Wget_Config
data_files:
- split: train
path: data/Wget_Config/*.parquet
- config_name: Whiley
data_files:
- split: train
path: data/Whiley/*.parquet
- config_name: Wikitext
data_files:
- split: train
path: data/Wikitext/*.parquet
- config_name: Win32_Message_File
data_files:
- split: train
path: data/Win32_Message_File/*.parquet
- config_name: Windows_Registry_Entries
data_files:
- split: train
path: data/Windows_Registry_Entries/*.parquet
- config_name: Witcher_Script
data_files:
- split: train
path: data/Witcher_Script/*.parquet
- config_name: Wollok
data_files:
- split: train
path: data/Wollok/*.parquet
- config_name: World_of_Warcraft_Addon_Data
data_files:
- split: train
path: data/World_of_Warcraft_Addon_Data/*.parquet
- config_name: Wren
data_files:
- split: train
path: data/Wren/*.parquet
- config_name: X10
data_files:
- split: train
path: data/X10/*.parquet
- config_name: XC
data_files:
- split: train
path: data/XC/*.parquet
- config_name: XCompose
data_files:
- split: train
path: data/XCompose/*.parquet
- config_name: XML
data_files:
- split: train
path: data/XML/*.parquet
- config_name: XML_Property_List
data_files:
- split: train
path: data/XML_Property_List/*.parquet
- config_name: XPages
data_files:
- split: train
path: data/XPages/*.parquet
- config_name: XProc
data_files:
- split: train
path: data/XProc/*.parquet
- config_name: XQuery
data_files:
- split: train
path: data/XQuery/*.parquet
- config_name: XS
data_files:
- split: train
path: data/XS/*.parquet
- config_name: XSLT
data_files:
- split: train
path: data/XSLT/*.parquet
- config_name: X_BitMap
data_files:
- split: train
path: data/X_BitMap/*.parquet
- config_name: X_Font_Directory_Index
data_files:
- split: train
path: data/X_Font_Directory_Index/*.parquet
- config_name: X_PixMap
data_files:
- split: train
path: data/X_PixMap/*.parquet
- config_name: Xojo
data_files:
- split: train
path: data/Xojo/*.parquet
- config_name: Xonsh
data_files:
- split: train
path: data/Xonsh/*.parquet
- config_name: Xtend
data_files:
- split: train
path: data/Xtend/*.parquet
- config_name: YAML
data_files:
- split: train
path: data/YAML/*.parquet
- config_name: YANG
data_files:
- split: train
path: data/YANG/*.parquet
- config_name: YARA
data_files:
- split: train
path: data/YARA/*.parquet
- config_name: YASnippet
data_files:
- split: train
path: data/YASnippet/*.parquet
- config_name: Yacc
data_files:
- split: train
path: data/Yacc/*.parquet
- config_name: Yul
data_files:
- split: train
path: data/Yul/*.parquet
- config_name: ZAP
data_files:
- split: train
path: data/ZAP/*.parquet
- config_name: ZIL
data_files:
- split: train
path: data/ZIL/*.parquet
- config_name: Zeek
data_files:
- split: train
path: data/Zeek/*.parquet
- config_name: ZenScript
data_files:
- split: train
path: data/ZenScript/*.parquet
- config_name: Zephir
data_files:
- split: train
path: data/Zephir/*.parquet
- config_name: Zig
data_files:
- split: train
path: data/Zig/*.parquet
- config_name: Zimpl
data_files:
- split: train
path: data/Zimpl/*.parquet
- config_name: cURL_Config
data_files:
- split: train
path: data/cURL_Config/*.parquet
- config_name: desktop
data_files:
- split: train
path: data/desktop/*.parquet
- config_name: dircolors
data_files:
- split: train
path: data/dircolors/*.parquet
- config_name: eC
data_files:
- split: train
path: data/eC/*.parquet
- config_name: edn
data_files:
- split: train
path: data/edn/*.parquet
- config_name: fish
data_files:
- split: train
path: data/fish/*.parquet
- config_name: hoon
data_files:
- split: train
path: data/hoon/*.parquet
- config_name: jq
data_files:
- split: train
path: data/jq/*.parquet
- config_name: kvlang
data_files:
- split: train
path: data/kvlang/*.parquet
- config_name: mIRC_Script
data_files:
- split: train
path: data/mIRC_Script/*.parquet
- config_name: mcfunction
data_files:
- split: train
path: data/mcfunction/*.parquet
- config_name: mupad
data_files:
- split: train
path: data/mupad/*.parquet
- config_name: nanorc
data_files:
- split: train
path: data/nanorc/*.parquet
- config_name: nesC
data_files:
- split: train
path: data/nesC/*.parquet
- config_name: ooc
data_files:
- split: train
path: data/ooc/*.parquet
- config_name: q
data_files:
- split: train
path: data/q/*.parquet
- config_name: reStructuredText
data_files:
- split: train
path: data/reStructuredText/*.parquet
- config_name: robots.txt
data_files:
- split: train
path: data/robots.txt/*.parquet
- config_name: sed
data_files:
- split: train
path: data/sed/*.parquet
- config_name: wdl
data_files:
- split: train
path: data/wdl/*.parquet
- config_name: wisp
data_files:
- split: train
path: data/wisp/*.parquet
- config_name: xBase
data_files:
- split: train
path: data/xBase/*.parquet
The Stack v2
Dataset Description
- Homepage: https://www.bigcode-project.org/
- Repository: https://github.com/bigcode-project
- Paper: Link
- Point of Contact: [email protected]
The dataset consists of 4 versions:
bigcode/the-stack-v2
: the full "The Stack v2" dataset <-- you are herebigcode/the-stack-v2-dedup
: based on thebigcode/the-stack-v2
but further near-deduplicatedbigcode/the-stack-v2-train-full-ids
: based on thebigcode/the-stack-v2-dedup
dataset but further filtered with heuristics and spanning 600+ programming languages. The data is grouped into repositories.bigcode/the-stack-v2-train-smol-ids
: based on thebigcode/the-stack-v2-dedup
dataset but further filtered with heuristics and spanning 17 programming languages. The data is grouped into repositories.
These datasets only contain the SWHIDs to download the code files and not the content of the files itself. See examples below to see how to download content. We are working on making the training datasets available in the coming weeks.
The Stack v2 is significantly larger than v1:
The Stack v1 | The Stack v2 | |
---|---|---|
full | 6.4TB | 67.5TB |
dedup | 2.9TB | 32.1TB |
train (full) | ~200B tokens | ~900B tokens |
Changelog
Release | Description |
---|---|
v2.1.0 | Removed repositories that opted out before 2024-04-09. Removed unreachable/private repositories (according to SWH) |
v2.0.1 | Removed repositories that opted out before 2023-10-20. StarCoder2 was trained on this version |
v2.0 | Initial release of the Stack v2 |
Dataset Summary
The Stack v2 contains over 3B files in 600+ programming and markup languages. The dataset was created as part of the BigCode Project, an open scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs). The Stack serves as a pre-training dataset for Code LLMs, i.e., code-generating AI systems which enable the synthesis of programs from natural language descriptions as well as other from code snippets.
This dataset is derived from the Software Heritage archive, the largest public archive of software source code and accompanying development history. Software Heritage is an open, non profit initiative to collect, preserve, and share the source code of all publicly available software, launched by Inria, in partnership with UNESCO. We acknowledge Software Heritage for providing access to this invaluable resource. For more details, visit the Software Heritage website.
Languages
The dataset contains 658 languages. The full list can be found in the language stats table.
How to use it
from datasets import load_dataset
# full dataset (file IDs only)
ds = load_dataset("bigcode/the-stack-v2", split="train")
# specific language (e.g. Dockerfiles)
ds = load_dataset("bigcode/the-stack-v2", "Dockerfile", split="train")
# dataset streaming (will only download the data as needed)
ds = load_dataset("bigcode/the-stack-v2", streaming=True, split="train")
for sample in iter(ds):
print(sample)
Downloading the file contents
The file contents are stored in the Software Heritage S3 bucket to ensure data compliance. Downloading data in bulk requires an agreement with SoftwareHeritage and INRIA as stated in the dataset agreement. Make sure to configure your environment with your AWS credentials.
pip install smart_open[s3]
import os
import boto3
from smart_open import open
from datasets import load_dataset
session = boto3.Session(
aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"],
aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"])
s3 = session.client("s3")
def download_contents(blob_id, src_encoding):
s3_url = f"s3://softwareheritage/content/{blob_id}"
with open(s3_url, "rb", compression=".gz", transport_params={"client": s3}) as fin:
content = fin.read().decode(src_encoding)
return {"content": content}
ds = load_dataset("bigcode/the-stack-v2", split="train", streaming=True)
ds = ds.map(lambda row: download_contents(row["blob_id"], row["src_encoding"]))
for row in ds:
print(row["content"])
break
Dataset Structure
Data Fields
blob_id
(string
): Software Heritage (SWH) ID of the file on AWS S3.directory_id
(string
): SWH ID of the root directory of the repository.path
(string
): The file path within the repository.content_id
(string
): SWH content ID.detected_licenses
(string[]
): List of licenses (SPDX) detected by ScanCode.license_type
(string
): Inferred license type (permissive
orno_license
).repo_name
(string
): Repository name on GitHub.snapshot_id
(string
): SWH snapshot ID.revision_id
(string
): SWH revision (commit) ID.branch_name
(string
): Repository branch name.visit_date
(timestamp[ns]
): SWH crawl (snapshot) timestamp.revision_date
(timestamp[ns]
): SWH revision (commit) timestamp.committer_date
(timestamp[ns]
): SWH revision (commit) timestamp reported by the committer.github_id
(int64
): GitHub identifier for the repository.star_events_count
(int64
): number of stars calculated from GHArchive events.fork_events_count
(int64
): number of forks calculated from GHArchive events.gha_license_id
(string
): GHArchive SPDX license identifier,None
if the repo is missing.gha_event_created_at
(timestamp[ns]
): Timestamp of the latest event on GHArchive for this repository.gha_created_at
(timestamp[ns]
): Timestamp of repository creation on GitHub,None
if the repo is missing.gha_language
(string
): Repository's primary programming language on GitHub,None
if the repo is missing.src_encoding
(string
): Original encoding of the file content befre converting to UTF-8.language
(string
): Programming language of the file, detected bygo-enry / linguist
.is_vendor
(bool
): Indicator of vendor file (external library), detected bygo-enry
.is_generated
(bool
): Indicator of generated file (external library), detected bygo-enry
.length_bytes
(int64
): Length of the file content in UTF-8 bytes.extension
(string
): File extension.
Data Splits
The dataset has no splits and all data is loaded as train split by default. If you want to setup a custom train-test split beware that dataset contains a lot of near-duplicates which can cause leakage into the test split.
Dataset Creation
For more information on the dataset creation pipeline please refer to the technical report.
Curation Rationale
One of the challenges faced by researchers working on code LLMs is the lack of openness and transparency around the development of these systems. Most prior works described the high-level data collection process but did not release the training data. It is therefore difficult for other researchers to fully reproduce these models and understand what kind of pre-training data leads to high-performing code LLMs. By releasing an open large-scale code dataset we hope to make training of code LLMs more reproducible.
Source Data
Data Collection
3.28B unique files belonging to 104.2M github repositories were collected by traversing the Software Heritage 2023-09-06 graph dataset. Additional repository-level metadata was collected from GitHub Archive data up to 2023-09-14. The total uncompressed size of all files is 67.53TB. Near-deduplication was implemented in the pre-processing pipeline on top of exact deduplication. Roughly 40% of permissively licensed files were (near-)duplicates.
The following are not stored:
- Files that cannot contribute to training code: binary, empty, could not be decoded
- Files larger than 10MB
Training Datasets: For the training datasets the programming languages were filtered further to 17 and 600+ for the the-stack-v2-smol-ids
and the-stack-v2-full-ids
dataset, respecively. In addition, heuristics were applied to further increase the quality of the dataset. The code files are also grouped into repositories to allow to pretrain with full repository context. For more details see the technical report.
License detection
We extract repository-level license information from GH Archive for all repositories with matching names in the SWH dataset. When the repo-level license is not available, i.e., for 96.93% of repositories, we use the ScanCode Toolkit to detect file-level licenses as follows:
- Find all filenames that could contain a license (e.g., LICENSE, MIT.txt, Apache2.0) or contain a reference to the license (e.g., README.md, GUIDELINES);
- Apply ScanCode's license detection to the matching files and gather the SPDX IDs of the detected licenses;
- Propagate the detected licenses to all files that have the same base path within the repository as the license file.
The licenses we consider permissive are listed here. This list was compiled from the licenses approved by the Blue Oak Council, as well as licenses categorized as "Permissive" or "Public Domain" by ScanCode.
Who are the source language producers?
The source (code) language producers are users of GitHub that created unique repository names up until 2023-09-06 (cutoff date).
Personal and Sensitive Information
The released dataset may contain sensitive information such as emails, IP addresses, and API/ssh keys that have previously been published to public repositories on GitHub. Deduplication has helped to reduce the amount of sensitive data that may exist. In the event that the dataset contains personal information, researchers should only use public, non-personal information in support of conducting and publishing their open-access research. Personal information should not be used for spamming purposes, including sending unsolicited emails or selling of personal information. Complaints, removal requests, and "do not contact" requests can be sent to [email protected].
Opting out of The Stack v2
We are giving developers the ability to have their code removed from the dataset upon request. The process for submitting and enacting removal requests will keep evolving throughout the project as we receive feedback and build up more data governance tools.
You can check if your code is in The Stack v2 with the following "Am I In The Stack?" Space. If you'd like to have your data removed from the dataset follow the instructions on GitHub.
Considerations for Using the Data
Social Impact of Dataset
The Stack v2 is an output of the BigCode Project. BigCode aims to be responsible by design and by default. The project is conducted in the spirit of Open Science, focused on the responsible development of LLMs for code.
With the release of The Stack v2, we aim to increase access, reproducibility, and transparency of code LLMs in the research community. Work to de-risk and improve on the implementation of ethical best practices of code LLMs is conducted in various BigCode working groups. The Legal, Ethics, and Governance working group has explored topics such as licensing (including copyleft and the intended use of permissively licensed code), attribution of generated code to original code, rights to restrict processing, the inclusion of Personally Identifiable Information (PII), and risks of malicious code, among other topics. This work is ongoing as of October 25th, 2022.
We expect code LLMs to enable people from diverse backgrounds to write higher quality code and develop low-code applications. Mission-critical software could become easier to maintain as professional developers are guided by code-generating systems on how to write more robust and efficient code. While the social impact is intended to be positive, the increased accessibility of code LLMs comes with certain risks such as over-reliance on the generated code and long-term effects on the software development job market.
A broader impact analysis relating to Code LLMs can be found in section 7 of this paper. An in-depth risk assessments for Code LLMs can be found in section 4 of this paper.
Discussion of Biases
The code collected from GitHub does not contain demographic information or proxy information about the demographics. However, it is not without risks, as the comments within the code may contain harmful or offensive language, which could be learned by the models.
Widely adopted programming languages like C and Javascript are overrepresented compared to niche programming languages like Julia and Scala. Some programming languages such as SQL, Batchfile, TypeScript are less likely to be permissively licensed (4% vs the average 10%). This may result in a biased representation of those languages. Permissively licensed files also tend to be longer.
The majority of natural language present in code from GitHub is English.
Other Known Limitations
One of the current limitations of The Stack v2 is that scraped HTML for websites may not be compliant with Web Content Accessibility Guidelines (WCAG). This could have an impact on HTML-generated code that may introduce web accessibility issues.
The training dataset could contain malicious code and/or the model could be used to generate malware or ransomware.
To the best of our knowledge, all files contained in the dataset are licensed with one of the permissive licenses (see list in Licensing information) or no license. The accuracy of license attribution is limited by the accuracy of GHArchive and ScanCode Toolkit. Any mistakes should be reported to BigCode Project for review and follow-up as needed.
Additional Information
Dataset Curators
- Harm de Vries, ServiceNow Research, [email protected]
- Leandro von Werra, Hugging Face, [email protected]
Licensing Information
The Stack v2 is a collection of source code from repositories with various licenses. Any use of all or part of the code gathered in The Stack v2 must abide by the terms of the original licenses, including attribution clauses when relevant. We facilitate this by providing provenance information for each data point.
The list of SPDX license identifiers included in the dataset can be found here.
Citation Information
@misc{lozhkov2024starcoder,
title={StarCoder 2 and The Stack v2: The Next Generation},
author={Anton Lozhkov and Raymond Li and Loubna Ben Allal and Federico Cassano and Joel Lamy-Poirier and Nouamane Tazi and Ao Tang and Dmytro Pykhtar and Jiawei Liu and Yuxiang Wei and Tianyang Liu and Max Tian and Denis Kocetkov and Arthur Zucker and Younes Belkada and Zijian Wang and Qian Liu and Dmitry Abulkhanov and Indraneil Paul and Zhuang Li and Wen-Ding Li and Megan Risdal and Jia Li and Jian Zhu and Terry Yue Zhuo and Evgenii Zheltonozhskii and Nii Osae Osae Dade and Wenhao Yu and Lucas Krauß and Naman Jain and Yixuan Su and Xuanli He and Manan Dey and Edoardo Abati and Yekun Chai and Niklas Muennighoff and Xiangru Tang and Muhtasham Oblokulov and Christopher Akiki and Marc Marone and Chenghao Mou and Mayank Mishra and Alex Gu and Binyuan Hui and Tri Dao and Armel Zebaze and Olivier Dehaene and Nicolas Patry and Canwen Xu and Julian McAuley and Han Hu and Torsten Scholak and Sebastien Paquet and Jennifer Robinson and Carolyn Jane Anderson and Nicolas Chapados and Mostofa Patwary and Nima Tajbakhsh and Yacine Jernite and Carlos Muñoz Ferrandis and Lingming Zhang and Sean Hughes and Thomas Wolf and Arjun Guha and Leandro von Werra and Harm de Vries},
year={2024},
eprint={2402.19173},
archivePrefix={arXiv},
primaryClass={cs.SE}
}