Datasets:

Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
Russian
ArXiv:
Libraries:
Datasets
pandas
License:
pefimov commited on
Commit
0a46891
1 Parent(s): 59515e9

Upload data files directly to the HF repository

Browse files

Since the download links from sberquad.py are currently unavailable, I have uploaded the files directly to the repository.

data/dev_v1.0.json.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ size 1927670
data/origin_test.json.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5d24ee67e71ea95163342b72d8fb36914fa7d0b261b3552ed5824f355fe76963
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+ size 2725921
data/train_v1.0.json.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5a05221fe35eb1b4fcd17b8acca1d957e12d098783d8e8a2ebb2348f6c437b0a
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+ size 5838123
sberquad.py CHANGED
@@ -1,6 +1,7 @@
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  # coding=utf-8
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  """SberQUAD: Sber Question Answering Dataset."""
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  import json
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  import datasets
@@ -33,7 +34,7 @@ from the corresponding reading passage, or the question might be unanswerable. \
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  Russian original analogue presented in Sberbank Data Science Journey 2017.
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  """
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- _URLS = {"train": "https://sc.link/PNWl", "dev": "https://sc.link/W6oX", "test": "https://sc.link/VOn9"}
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  class Sberquad(datasets.GeneratorBasedBuilder):
 
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  # coding=utf-8
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  """SberQUAD: Sber Question Answering Dataset."""
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+ import os
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  import json
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  import datasets
 
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  Russian original analogue presented in Sberbank Data Science Journey 2017.
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  """
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+ _URLS = {"train": os.path.join("data", "train_v1.0.json.gz"), "dev": os.path.join("data", "dev_v1.0.json.gz"), "test": os.path.join("data", "origin_test.json.gz")}
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  class Sberquad(datasets.GeneratorBasedBuilder):