NLPDash

Perform Part-of-Speech tagging, Named Entity Recognition, Dependency Parsing, and Lemmatization with interactive visualizations

A new way for AI to search for data

View on GitHub

2GitHub stars

2commits on master

0forks

Python 100% · created 2025-11-02 · last push 2025-11-02

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b127309749. It is the newest commit on master.

Selected work

Tuhin Chakrabarty
@Tuhin-SnapD

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

The prompt

Paste it into your AI agent. It clones Tuhin-SnapD/NLPDash at the pinned commit and indexes it on your machine.

Search the GitHub repository Tuhin-SnapD/NLPDash with XERJ (https://hub.xerj.org/corpus/tuhin-snapd--nlpdash).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/Tuhin-SnapD/NLPDash NLPDash && git -C NLPDash checkout b12730974931b76ad3a893c405586ca37e5194e4
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./NLPDash --url http://127.0.0.1:9200 --prefix nlpdash --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Tuhin Chakrabarty AI, prompts and agents corpora

Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.