A labelling tool to easily extract and label Wikipedia data
Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…
A labelling tool to easily extract and label Wikipedia data launched on December 17, 2021 with 116 votes, #287 of 2,707 launches that month and more than 90% of that year's launches.
In plain words
DataQA is an open-source tool for searching and labeling documents for natural language processing tasks such as entity extraction and entity linking. Built by a machine learning engineer with a decade of NLP experience, it helps data scientists explore and annotate data more efficiently. The tool comes packaged with Elasticsearch for text search functionality and is designed to optimize the return on investment from labeling efforts.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in…
Does a similar job
all alternatives →
Autolabel, a Python library to label and enrich text data with LLMs2023 · github.com · ▲153Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
Rules-based labelling tool for NLP2021 · github.com · ▲55- WAWikipedia2Vec – A tool for learning embeddings of words and entities2018 · wikipedia2vec.github.io · ▲105
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, December 2021
the whole month →
Powerful enhanced experience for Twitter
Life & fun · 2021 · blackmagic.so
A beautiful, clean, modern web UI for Wikipedia. Enhance your Wikipedia experience with a redesigned look, new features and customization.
Life & fun · 2021 · modernwiki.app
BitsForDigits▲624A partial buyout marketplace free for bootstrapped founders
Commerce · 2021 · flippa.com