name-dataset
The Python library for names. (by philipperemy)
seqeval
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) (by chakki-works)
name-dataset | seqeval | |
---|---|---|
2 | 1 | |
784 | 1,049 | |
- | 0.8% | |
2.9 | 0.0 | |
6 months ago | 24 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
name-dataset
Posts with mentions or reviews of name-dataset.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Requesting surname data with frequency
Yep! I actually know of something that is exactly what you’re looking for. Note that you will need to know a bit of python to use it. Here’s the link: https://github.com/philipperemy/name-dataset
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Searching for an API that I can search a name
I don't think anything like this exists publicly.. but you could use the various available datasets and build your own API based on that data.. here's a +2GB dataset https://github.com/philipperemy/name-dataset
seqeval
Posts with mentions or reviews of seqeval.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Beginner questions about NER model evaluation.
. The standard way to evaluate NER (or any other sequence labelling problem) is to use the conlleval script (https://www.clips.uantwerpen.be/conll2000/chunking/output.html) or through the seqeval package in python (https://github.com/chakki-works/seqeval) . Either way, you need a list of predicted labels and a list of gold labels (see the code example in the link, it should be trivial to converse your output to the same data format).