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A community-built high-quality repository of NLP corpora

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A community-built high-quality repository of NLP corpora

This project aims to collect a shared repository of corpora useful for NLP researchers, available inside UW.

  • Community-built — New corpora are encouraged! Official benchmark tasks, large-scale recipe scrapes, collections of old novels—all are welcome.

  • High-quality — Each corpus undergoes a vetting process to ensure it is of a marked version and has known state, consistent structure, and ample documentation. Once it is added, a corpus becomes read-only to guard against accidental modifications. A daily crawler indexes the full collection and performs several checks on every file of every corpus (browsable below).

  • UW accessible — All corpora live on the UW CSE department fileserver at /projects/nlp-corpora/ where they enjoy automatic backups. Friends in EE, Linguistics, or other departments can easily receive free access.

See below for a live, browsable index of all of the corpora, as well as instructions for accessing the corpora and proposing new additions.

Live Status

This table contains a live view of all corpora. It is updated daily by a crawler that scans all corpora and checks that they meet quality guidelines (immutability, access permissions, documentation, and corpus structure).

Click on any corpus to view its readme.

If the Access column shows a ✓, then it is open-access and ready for use. If not, the corpus is under restricted access due to its license or terms of use. Visit the Restricted access section for details on each of these corpora.

Corpus Description Size Access Status
byu-coca BYU's Corpus of Contemporary American English 6.39 GB nlpc-byu
byu-coha BYU's Corpus of Historical American English 4.65 GB nlpc-byu
byu-now BYU's "NOW" Corpus (News On the Web) 90.25 GB nlpc-byu
deepbank Syntactic + semantic annotations on WSJ. 579.6 MB
fanfiction A large collection (1.25 billion lines) of fan fiction text. 175.2 GB
gigaword-en-5 English Gigaword, Fifth Edition 34.49 GB
google-surface-ngrams Google surface ngrams (web 1T 5-gram v1) 26.2 GB
google-syntax-ngrams English Google Syntax Ngrams (v20120701) 341.23 GB
gutenberg-en All English books from Project Gutenberg 27.32 GB
nyt-annotated The New York Times Annotated Corpus 3.25 GB
ontonotes OntoNotes Release 5.0 932.92 MB
penn-treebank-3 The Penn Treebank v3 (1999). 54.1 MB
penn-treebank-revised English News Text Treebank: Penn Treebank Revised 16.19 MB
roc-stories ROCStories: crowd-authored commonsense stories 28.82 MB
tacred TAC Relation Extraction Dataset 62.08 MB
toronto-books The Toronto BookCorpus, a large collection of books 9.44 GB

plot of disk usage


Using the corpora

Accessing the nlp-corpora requires UW CSE department server access (e.g., to the machines {recycle,bicycle,tricycle} so that they can view the department filesystem. The nlp-corpora directory is located on the department filesystem at /projects/nlp-corpora/. Anyone with a UW CSE account can log onto the department servers and view the files there. (For those without a UW CSE account, see the access outside UW CSE section.)

The corpora are read-only (this is enforced by our crawler) so that they stay in a known, clean state. To work with files from the corpora, please copy them to a local directory, e.g., with scp.

Corpus structure

One of the goals of this project is to have a consistent directory structure across all of the corpora we track to give a smooth experience browsing through them. There is a detailed description of this structure below.

Adding a new corpus

Fill out this form and we will work with you to add a new corpus to the repository.

Restricted access

Some corpora require signing a form and sending it to the authoring institution to be cleared for access. Others simply have highly restrictive licenses we must comply with; we do so by ensuring each users reads the agreement we signed when purchasing the corpus.

To honor these contracts, we restrict access to certain corpora by narrowing the unix group that has read privileges. For such corpora, regrettably, you must jump through a hoop to use them.

Detailed instructions for gaining access to each restricted access corpus are linked to in the table below.

Access How to be added
nlpc-byu Please follow these instructions for gaining access to the BYU corpora.

Access within UW

Accessing the corpora requires a UW CSE unix account. Other researchers in UW can receive a free UW CSE guest account by having a UW CSE faculty or staff sponsor them. Despite the name "sponsor," this is absolutely free for both parties. Guest accounts last up to two years and can be renewed indefinitely. This is the way to grant NLP friends in UW EE and UW linguistics access to nlp-corpora.

Please note that nlp-corpora is only available within the University of Washington. We cannot grant access to any external people or parties.

Corpus structure

Inside the /projects/nlp-corpora/ directory, there should only be directories for corpora.

Each corpus directory <name> should have the following format:

├── original/
│   └── ...
├── processed/
│   └── ...

No other top-level contents in the corpus directory is allowed.

Each of the components should be as follows:



The original/ subdirectory should contain the source material in the most raw, unprocessed form possible. If the source material was downloaded as a tarball, it should be that tarball. If it was downloaded as a set of files comprising a dataset, it should be those files. If it was scraped from a website, it should be the raw output of the scraping command (e.g., curl or wget).

This may not exist for all corpora, but it is preferred to exist if possible.



The processed/ subdirectory should contain only subdirectories, no files. Each subdirectory should be a succinct name for the type of processing that its contents underwent. For example, if many text files were cleaned and joined into one, txt, would be an appropriate name. If tokenization was applied, tkn would be an appropriate name.

Details for all subdirectories within processed/ must be provided in the file (more information on this below).


The file is required because it provides all documentation about the data source.

In general, it should have the following format:

# (tile of the corpus)

(Short description of the corpus.)

(How the corpus was acquired (including the URL or the contents of the script).)

(When the corpus was acquired.)

(For each subdirectory in "processed/" (if any exist), a description of how
that directory was created. Optimal is a script (or a link to a specific
version of a script). Also acceptable is an English description. For example,
if it was tokenized, which tokenizer was used, and which version of that

Bugs / questions / contributions

For any bugs or questions, please open a GitHub issue on this repository (top of the webpage).

To help contribute to this project, please check out the backend repository and open issues or pull requests there.


A community-built high-quality repository of NLP corpora






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