ColBERT | ColBERT : state-of-the-art neural search ( SIGIR'20 | Search Engine library

 by   stanford-futuredata Python Version: Current License: MIT

kandi X-RAY | ColBERT Summary

kandi X-RAY | ColBERT Summary

ColBERT is a Python library typically used in Database, Search Engine applications. ColBERT has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install ColBERT' or download it from GitHub, PyPI.

Using ColBERT on a dataset typically involves the following steps. Step 0: Preprocess your collection. At its simplest, ColBERT works with tab-separated (TSV) files: a file (e.g., collection.tsv) will contain all passages and another (e.g., queries.tsv) will contain a set of queries for searching the collection. Step 1: Train a ColBERT model. You can train your own ColBERT model and validate performance on a suitable development set. Step 2: Index your collection. Once you're happy with your ColBERT model, you need to index your collection to permit fast retrieval. This step encodes all passages into matrices, stores them on disk, and builds data structures for efficient search. Step 3: Search the collection with your queries. Given your model and index, you can issue queries over the collection to retrieve the top-k passages for each query.
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            kandi-support Support

              ColBERT has a medium active ecosystem.
              It has 1076 star(s) with 214 fork(s). There are 27 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 22 open issues and 142 have been closed. On average issues are closed in 41 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ColBERT is current.

            kandi-Quality Quality

              ColBERT has 0 bugs and 0 code smells.

            kandi-Security Security

              ColBERT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ColBERT code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ColBERT is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ColBERT releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              ColBERT saves you 222 person hours of effort in developing the same functionality from scratch.
              It has 542 lines of code, 34 functions and 19 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ColBERT and discovered the below as its top functions. This is intended to give you an instant insight into ColBERT implemented functionality, and help decide if they suit your requirements.
            • Train balancer
            • Backward loss
            • Set the gradient of a colbert
            • Performs a single step
            • Sample a minicorpus problem
            • Create output directory
            • Save to file
            • Open file with given path
            • Setup a new process
            • Run the distill_scores
            • Return a list of n - grams
            • Return a tensorflow tensor product for the given indices
            • Load the codes and residuals
            • Write final metrics to file
            • Load filter extensions
            • Load qrels from file
            • Compute labels and write to file
            • Annotate qas from qas to file
            • Loads the top kids from the topK file
            • Convert a batch of input text into a tensor
            • Sample a query
            • Perform a search
            • Try to load torch extension
            • Loads the top k documents into memory
            • Samples from the given probabilities
            • Context manager
            Get all kandi verified functions for this library.

            ColBERT Key Features

            No Key Features are available at this moment for ColBERT.

            ColBERT Examples and Code Snippets

            No Code Snippets are available at this moment for ColBERT.

            Community Discussions

            QUESTION

            Post request tensorflow serving: too many values to unpack (expected 2)
            Asked 2021-Apr-17 at 14:27

            I set up a tensorflow running service with my model, but when I try to do a post request it returns me the following error (get request work):

            ...

            ANSWER

            Answered 2021-Apr-07 at 07:39

            There are two separate issues in your code. One pertains to the payload, the other to the way you are using requests.post.

            Requests usage

            requests.post, just as requests.request and other similar functions, returns a single instance of Response class (source). For this reason, to fix your error you need to change from

            Source https://stackoverflow.com/questions/66921485

            QUESTION

            NoSuchElement Exception seems to be called for no reason
            Asked 2020-Jul-31 at 19:45

            I'm trying to make a program that will read a data file, sort of like this:

            ...

            ANSWER

            Answered 2020-Jul-31 at 19:45

            You have a bug in for loop, while reading from file. Instead of fixing it, there is a simpler way to read all lines from file in Java.

            Source https://stackoverflow.com/questions/63197731

            QUESTION

            Wikidata "Truthy" data dump
            Asked 2020-May-06 at 09:28

            I'm starting a project on knowledge bases and wanted to start by downloading a recent dump of Wikidata. I found a data dump called "truthy", but I am not sure if I can trust it.

            My understanding from pop culture is that a "truthy" statement is one that is not true and based only on intuition and perception. Thanks, Mr. Colbert.

            Why would Wikidata produce a "truthy" data dump where the data is not accurate?

            What's also confusing is that there are conflicting definitions. For example, here is the definition of "truthy" data directly from the WikiMedia organization:

            Truthy statements represent statements that have the best non-deprecated rank for given property. Namely, if there is a preferred statement for property P2, then only preferred statements for P2 will be considered truthy.

            To me, that quote means that a truthy statement (fact triple) is the preferred one.

            This other webpage says this about "truthy":

            This contains only “truthy” or “best” statements, without qualifiers or references.

            What am I got make of this? Is this "truthy" data reliable and believable or not?

            ...

            ANSWER

            Answered 2020-May-06 at 09:28

            In Wikidata, each statement has an associated rank: preferred rank, normal rank, deprecated rank. The default value is normal rank but everybody (registered and anonymous users) can change the rank to one of the other values. There are no rules enforced how to assign the ranks. Generally, deprecated rank is used for proven faults. Preferred rank is often used for the most up-to-date value in time series.

            The "truthy" data dump does not contain any statements with deprecated rank and if there are statements with normal and preferred rank, only the statements with preferred rank are in the dump.

            If you want to get in touch with the Wikidata community, go to the Wikidata project chat. If you prefer to communicate directly with the developpers of Wikidata/Wikibase, go to this page.

            Source https://stackoverflow.com/questions/61627558

            QUESTION

            Array of structs: How to save in coredata?
            Asked 2020-Mar-16 at 02:14

            I´m trying to save an array of structs into coredata. I did a lot of research, but i cannot find the solution. Here´s what i´ve got:

            ...

            ANSWER

            Answered 2017-Jun-14 at 12:15

            You need to access the item in your for loop also you are currently accessing the same object Student object in for loop instead of that you need to create a new Student in every iteration of for loop.

            Source https://stackoverflow.com/questions/44544387

            QUESTION

            Why does Tensorflow multiclass-image-prediction not work when model is loaded?
            Asked 2020-Jan-26 at 01:04

            I am currently trying to learn machine learning techniques and wanted to recreate a simple image recognition algorithm with tensorflow. Therefore I made two Python-files: One for training and one for prediction.

            Tested on Ubuntu 18.04 Used Python Version: 3.7 Used Numpy Version: 1.18.1 Used Tensorflow Version: 1.14 and 2.1.0 (outputs below are from Version 1.14)

            My images are from http://www.cs.columbia.edu/CAVE/databases/pubfig/download/#dev The set consists of about 3000 images of cropped faces from 60 people.

            train_model.py:

            ...

            ANSWER

            Answered 2020-Jan-26 at 01:04

            Hey I believe you are getting strange predictions because your data distribution has 60 classes of people while your model is compiled with a loss function that is set to binary crossentropy.

            Binary crossentropy is used to determine a max of 2 classes. What you need to do is change the loss function to categorical crossentropy.

            Source https://stackoverflow.com/questions/59914299

            QUESTION

            Using PapaParse transformHeader to remove whitespace from headers?
            Asked 2019-Jun-06 at 04:09

            If we have a CSV file like this:

            ...

            ANSWER

            Answered 2019-Jun-06 at 04:09

            This ended up doing the trick:

            Source https://stackoverflow.com/questions/56470745

            QUESTION

            Getting values from Future instances
            Asked 2019-Feb-13 at 17:39

            My data is something like this:

            ...

            ANSWER

            Answered 2017-Oct-05 at 06:44

            There is no way to get back from async execution to sync execution.

            To get a value from a Future there are two ways

            pass a callback to then(...)

            Source https://stackoverflow.com/questions/46579358

            QUESTION

            Regex formula almost extracts JSON, but result is wrapped with extra data
            Asked 2018-Oct-01 at 19:25

            I found the following formula on another post and slightly modified it which gets very close to the data, but now I’m not sure what regex adjustment to make.

            The following code places the regex result (from html string) into result, which is almost the JSON, but it starts with

            ...

            ANSWER

            Answered 2018-Oct-01 at 19:15

            So I've pasted your example here and your regex is close to working as intended. Note that soup.find() will only return the first result, whereas soup.find_all() will return all matches. Regardless, I would suggest that you leverage re.findall() here, since you are passing a regex and interpreting the HTML as a str:

            Source https://stackoverflow.com/questions/52595277

            QUESTION

            How to display JSON data on click with JavaScript
            Asked 2018-May-06 at 00:06

            I'm having some trouble with writing the logic of this code. I've parsed data from this large api.

            Code currently retrieves all program titles (there are multiple instances of the same title) and compares it with the late night show array, then prints them out once in their own

            tag.

            I'd like to somehow click a program title and display more JSON data.

            I thought to compare the

            innerHTML, to the title variable, and when its div is clicked, return the list of guests for that particular program. I've been playing with the logic, and not too sure if I'm on the right track.

            ...

            ANSWER

            Answered 2018-May-06 at 00:06

            I've read what you wanted, and I came up with my own approach. You can see a working copy over here https://jsfiddle.net/sm42xj38/

            Source https://stackoverflow.com/questions/50194849

            QUESTION

            Return one instance of duplicate object values in JavaScript
            Asked 2018-May-04 at 14:19

            I'm returning information from a large API which contains duplicate object values. I have an array of program names and a function that finds an retrieves the titles I want. However, I only want them returned once rather than multiple times.

            ...

            ANSWER

            Answered 2018-May-04 at 03:50

            You can add all titles to array and then filter it

            Source https://stackoverflow.com/questions/50166758

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ColBERT

            ColBERT (currently: v0.2.0) requires Python 3.7+ and Pytorch 1.6+ and uses the HuggingFace Transformers library.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            gh repo clone stanford-futuredata/ColBERT

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