data-processing

🚨🚨 Feature Request

We need description, citation, license, and version meta info to be added to the dataset.

Is your feature request related to a problem?

Some datasets need this info inside them for legal reasons.

If your feature will improve HUB

Easy to implement, won't hurt for sure.

Description of the possible solution

Currently, we have all metadata store

Location of the documentation

The page doesn't exist yet. A new page titled something like "Importing Other Schema Formats" or something like that.

Note: You can check the latest versions of the docs on master here.

Documentation problem

The frictionless schema support that was added here https://github.com/pandera-dev/pander

Hello Benito,

For a specific task I need a "bitwise exclusive or"-function, but I realized xidel doesn't have one. So I created a function for that.

I was wondering if, in addition to the EXPath File Module, you'd be interested in integrating the EXPath Binary Module as well. Then I can use bin:xor() instead (although for

Write unit test coverage for SafeDataset and SafeDataLoader, along with the functions in utils.py.

The exception in subject is thrown by the following code:

from datetime import date
from pysparkling.sql.session import SparkSession
from pysparkling.sql.functions import collect_set

spark = SparkSession.Builder().getOrCreate()

dataset_usage = [
    ('steven', 'UUID1', date(2019, 7, 22)),
]
dataset_usage_schema = 'id: string, datauid: string, access_date: date'

df = spa

Is your feature request related to a problem? Please describe.
To prepare medical NER detection, we need to create a reader for the BC5CDR in the BLUE Benchmark: https://github.com/ncbi-nlp/BLUE_Benchmark

Describe the solution you'd like

1. Develop a reader for BC5CDR
2. Annotate the Entity Mentions from the dataset.

Describe alternatives you've considered
A clear and concise