ungoliant

Library Listed Dormant

The pipeline for the OSCAR corpus.

Checked · Sources

Downloads
1
Dependents
0
Stars
178
Forks
17
Contributors
5
Commits
419
Latest release
2.0.0 ·

About

From the project README ·

🕷️ Ungoliant is a high-performance pipeline that provides tools to build corpus generation pipelines from CommonCrawl. 🕷️

It currently is the generation pipeline for OSCAR corpus, from CommonCrawl. Ungoliant is a replacement of goclassy.

Installation

Installing/Compiling the binary
  • Via cargo: cargo install ungoliant
  • Via git: cargo install --git https://github.com/oscar-corpus/ungoliant

Ungoliant needs numerous dependencies that should be compiled when installing. However cmake / gcc can be needed as the project uses fasttext-rs.

KenLM feature

The KenLM feature is optional because it relies on unsafe code that can break if the supplied model files are not correct.

To enable it, install KenLM requirements:

apt install -y libboost-all-dev libeigen3-dev

and use cargo install ungoliant --features kenlm or cargo b --features kenlm if you're building from source.

Getting a language identification file (for fastText):

By default, ungoliant expects the lid.176.bin model by meta. Use curl https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin -o lid.176.bin to get it.

However, you can use the model you want: just point to its path using ungoliant download --lid-path <path to lid>.

Read the full README

Other options include:

  • NLLB model (https://huggingface.co/facebook/fasttext-language-identification)
  • OpenLID model (https://github.com/laurieburchell/open-lid-dataset)

Usage

The usual way of generating corpora is:

  1. Fetch the wet.paths.gz file from the last CommonCrawl dump and decompress it.
  2. Download the files using the download command.
  3. Generate the corpus using the pipeline command (it may take some time).
  4. Head on to oscar-tools for the packaging steps

You can find more information on each command's --help.

ungoliant 2
corpus generation tool.

USAGE:
    ungoliant <SUBCOMMAND>

FLAGS:
    -h, --help       Prints help information
    -V, --version    Prints version information

SUBCOMMANDS:
    download    Download a CommonCrawl release
    help        Prints this message or the help of the given subcommand(s)
    pipeline    Run pipeline
    rebuild     Rebuild the corpus for a given language.

Documentation

Ungoliant is not yet on docs.rs: use cargo doc --bins --open to open the documentation.

Head on to OSCAR Documentation for more info about the project.

Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
Required
  • Binds native code: zstd-sys
Python bindings
No Python binding crate found
License
Apache-2.0

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

ungoliant beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
ungoliant This page Listed Dormant

The pipeline for the OSCAR corpus.

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hdf5-rust Featured

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253,180 downloads over 30 days 70 85 0.15.1 GPU support unknown Binds native code: hdf5-metno-sys, blosc-src (feature blosc), lzf-sys (feature lzf), mpi-sys (feature mpio), zfp-sys (feature zfp) Apache-2.0 OR MIT
zarrs Featured

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vortex Listed

An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.

98,129 downloads over 30 days 32 3,310 0.93.0 GPU support unknown Binds native code: zstd-sys Apache-2.0
compressr App New

Model conversion and quantization with no Python: reads SafeTensors, GGUF, TCF and PyTorch state dicts, writes SafeTensors, GGUF and TCF, and quantizes to Q2_K through Q8_0 and IQ4 formats, including Q4_K_M mixes. GPTQ, AWQ, NF4, FP8, EXL2 and ONNX input are not implemented.

Python bindings

23 downloads over 30 days Not applicable 0 0.2.1 GPU support unknown No native code found Apache-2.0
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

  • It has 0 active dependents and 0 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days. The repository route reads 178 stars, 17 forks and 5 contributors. It needs 4,539 stars, 434 forks and 79 contributors together.
  • The project is dormant and not finished. Dormancy rule

What else the check found

  • The last activity is on 9 Nov 2023, 1096 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule
  • The oldest outside issue waits 1861 days for a reply, past the limit of 270. No maintainer replied in 365 days. Rot signals rule
  • The latest release requires the deprecated dependency structopt. RUSTSEC-2022-0104 Rot signals rule
  • The project is dormant with 2 rot signals, which reaches the limit of 2. This is dead check 1 of 2, so the entry is not yet archived. Dead rule

Not measured: Latest release fails cargo check.

Exact rules: Listed, Featured library. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: version 2.0.0 base 200, raised to the 365-day floor: E = 365 days
  • dormancy: last activity 2023-11-09, 1096 days ago, E = 365: dormant
  • rot: oldest unanswered issue 1861 days (limit 270), no maintainer reply in 365 days
  • rot: deprecated requirement `structopt (RUSTSEC-2022-0104, https://rustsec.org/advisories/RUSTSEC-2022-0104.html)`
  • dead: dormant with 2 rot signals (limit 2): dead on check 1 of 2, not yet archived
  • featured: not featured: active_users 0 < 11 and new_adopters 0 < 9 and repository route stars 178 (needs 4539), forks 17 (needs 434), contributors 5 (needs 79); dormant and not stable
  • listed: listed: no archive, new or featured rule applies

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources6 sources
Adoption0 active dependents, 0 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents0crates.io database dumpYes
New dependents (365 days)0crates.io database dumpYes
Peak active dependents0crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 3 years ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2023-11-09GitHub repositoryYes
Latest release2023-02-24crates.io database dumpYes
First release2022-03-01crates.io database dumpYes
Latest version2.0.0crates.io database dumpYes
Days the oldest outside issue waits for a reply1861GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementstructopt (RUSTSEC-2022-0104, https://rustsec.org/advisories/RUSTSEC-2022-0104.html)crates.io database dumpYes
Distribution4 releases, 1 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases4crates.io database dumpYes
Downloads over 30 days1crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository178 stars, 17 forks, 5 contributors, 419 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars178GitHub repositoryYes — one part of the repository route
GitHub forks17GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account5GitHub contributorsYes — one part of the repository route
Commits on the default branch419GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseApache-2.0crates.io database dumpNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesBinds native code: zstd-syscrates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directly0crates.io database dumpNo

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