ColBERT | ColBERT : state-of-the-art neural search ( SIGIR'20 | Search Engine library
kandi X-RAY | ColBERT Summary
kandi X-RAY | ColBERT Summary
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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- 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
ColBERT Key Features
ColBERT Examples and Code Snippets
Community Discussions
Trending Discussions on ColBERT
QUESTION
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 07:39There are two separate issues in your code. One pertains to the payload, the other to the way you are using requests.post
.
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
QUESTION
I'm trying to make a program that will read a data file, sort of like this:
...ANSWER
Answered 2020-Jul-31 at 19:45You 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.
QUESTION
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 09:28In 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.
QUESTION
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 12:15You 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.
QUESTION
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 01:04Hey 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.
QUESTION
If we have a CSV file like this:
...ANSWER
Answered 2019-Jun-06 at 04:09This ended up doing the trick:
QUESTION
My data is something like this:
...ANSWER
Answered 2017-Oct-05 at 06:44There 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(...)
QUESTION
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 19:15So 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
:
QUESTION
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 00:06I'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/
QUESTION
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 03:50You can add all titles to array and then filter it
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