adding test notebook for test

.ipynb_checkpoints/test-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

clean.zip → sample.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:55c23af1eb25af74456b5ea2fe05422431bb5172dd7680efd57e0a9b81a228a1
-size 16004
+oid sha256:75d333c3cdc2f99bd1a0a3e04126487ef8d0e06e33d174b2035ca39882579e7e
+size 796516

tasnim_daily.py

@@ -4,12 +4,7 @@ import os
 import sys
 csv.field_size_limit(sys.maxsize)
 
-_DESCRIPTION = """
-persian_news_dataset is a collection of 5 million news articles. 
-News articles have been gathered from more than 10 news agencies for the last 12 years. 
-The dataset is provided by Rohan AI lab for research purposes.
-for more information refer to this link:
-"""
+_DESCRIPTION = """"""
 _PROJECT_URL = """"""
 
 
@@ -20,7 +15,7 @@ https://saied71.github.io/RohanAiLab/,
 }
 """
 
-_URL = "persian_news_dataset.zip"
+_URL = "sample.zip"
 
 
 
@@ -32,8 +27,7 @@ class Persian_news(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "text": datasets.Value("string"),
-                    "title": datasets.Value("string"),
-                    "category": datasets.Value("string")
+                    "summary": datasets.Value("summary"),
                 }
             ),
             homepage=_PROJECT_URL,
@@ -45,7 +39,7 @@ class Persian_news(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
         dl_dir = dl_manager.download_and_extract(_URL)
-        data_dir = os.path.join(dl_dir, "persian_news_dataset.csv")
+        data_dir = os.path.join(dl_dir, "sampleForClean.csv_clean.csv")
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -61,8 +55,6 @@ class Persian_news(datasets.GeneratorBasedBuilder):
                 if id_ == 0:
                     continue
                 yield id_, {
-                    "text": row[0],
-                    "title": row[2],
-                    "category": row[1],
+                    "text": row[1],
+                    "summary": row[0]
                 }
-