Completes OPEN-3979 Update sentiment analysis dataset for notebook example

Author: gustavocidornelas

examples/text-classification/sklearn/sentiment-analysis/sentiment-sklearn.ipynb

@@ -102,11 +102,11 @@
     "%%bash\n",
     "\n",
     "if [ ! -e \"sentiment_train.csv\" ]; then\n",
-    "    curl \"https://openlayer-static-assets.s3.us-west-2.amazonaws.com/examples-datasets/text-classification/sentiment-analysis/sentiment_training_set_sample.csv\" --output \"sentiment_train.csv\"\n",
+    "    curl \"https://openlayer-static-assets.s3.us-west-2.amazonaws.com/examples-datasets/text-classification/sentiment-analysis/sentiment_train.csv\" --output \"sentiment_train.csv\"\n",
     "fi\n",
     "\n",
     "if [ ! -e \"sentiment_val.csv\" ]; then\n",
-    "    curl \"https://openlayer-static-assets.s3.us-west-2.amazonaws.com/examples-datasets/text-classification/sentiment-analysis/sentiment_validation_set.csv\" --output \"sentiment_val.csv\"\n",
+    "    curl \"https://openlayer-static-assets.s3.us-west-2.amazonaws.com/examples-datasets/text-classification/sentiment-analysis/sentiment_val.csv\" --output \"sentiment_val.csv\"\n",
     "fi"
    ]
   },
@@ -117,18 +117,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "columns = ['polarity', 'tweetid', 'date', 'query_name', 'user', 'text']\n",
+    "columns = ['polarity', 'tweetid', 'query_name', 'user', 'text']\n",
     "\n",
     "df_train = pd.read_csv(\n",
     "    \"./sentiment_train.csv\",\n",
-    "    header=None, \n",
     "    encoding='ISO-8859-1', \n",
-    "    index_col=0\n",
     ")\n",
     "\n",
     "df_val = pd.read_csv(\n",
     "    \"./sentiment_val.csv\",\n",
-    "    header=None,\n",
     "    encoding='ISO-8859-1'\n",
     ")\n",
     "df_train.columns = columns\n",
@@ -762,7 +759,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.8.13"
   }
  },
  "nbformat": 4,