Update import data script

scripts/import_data.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -11,7 +11,7 @@
        "0"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -19,20 +19,23 @@
    "source": [
     "import datasets\n",
     "import subprocess\n",
+    "\n",
+    "exepath = \"/home/eschwartz/ooanalyzer-tests/code/testcases/BuildExes\"\n",
+    "\n",
     "subprocess.check_call(\"rm -rf /tmp/somewhere\", shell=True)\n",
     "subprocess.check_call(\"mkdir -p /tmp/somewhere\", shell=True)\n",
-    "subprocess.check_call(\"find /home/eschwartz/ooanalyzer-tests/code/testcases/BuildExes -name '*.csv' | tar -T - -c | tar -C /tmp/somewhere -x\", shell=True)"
+    "subprocess.check_call(f\"find {exepath} -name '*.csv' | tar -T - -c | tar -C /tmp/somewhere -x\", shell=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f5fcd73fed67440fb58577b26fc3605b",
+       "model_id": "65caf25c8de2403bb5c410f4ed6619d9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -47,20 +50,20 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Using custom data configuration default-d4ff6d0a10e1667b\n"
+      "Using custom data configuration default-d787400fe14ff4a8\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Downloading and preparing dataset csv/default to /home/eschwartz/.cache/huggingface/datasets/csv/default-d4ff6d0a10e1667b/0.0.0/652c3096f041ee27b04d2232d41f10547a8fecda3e284a79a0ec4053c916ef7a...\n"
+      "Downloading and preparing dataset csv/default to /home/eschwartz/.cache/huggingface/datasets/csv/default-d787400fe14ff4a8/0.0.0/652c3096f041ee27b04d2232d41f10547a8fecda3e284a79a0ec4053c916ef7a...\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1053b5ee5bf248ff8dd5dccc8d3f3dca",
+       "model_id": "44a0e4c531f644558028cc4ae4f55e8d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -74,7 +77,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "506e7a9d89ad4947a83bea2adbe52058",
+       "model_id": "7120dbcac25d4283921a5d426c95bd48",
        "version_major": 2,
        "version_minor": 0
       },
@@ -88,7 +91,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5caaf14e723e48c0aa67859e8bcb9767",
+       "model_id": "78149c6900134d2e8aecb4d394c1f10f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -103,13 +106,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Dataset csv downloaded and prepared to /home/eschwartz/.cache/huggingface/datasets/csv/default-d4ff6d0a10e1667b/0.0.0/652c3096f041ee27b04d2232d41f10547a8fecda3e284a79a0ec4053c916ef7a. Subsequent calls will reuse this data.\n"
+      "Dataset csv downloaded and prepared to /home/eschwartz/.cache/huggingface/datasets/csv/default-d787400fe14ff4a8/0.0.0/652c3096f041ee27b04d2232d41f10547a8fecda3e284a79a0ec4053c916ef7a. Subsequent calls will reuse this data.\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8efb31f928ed4c8fa3cd4fb65e0c5916",
+       "model_id": "716e45950be24f5f89a4ab4f72acaf7c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -123,12 +126,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d85b42c7cc8a4421a9669d01ea4bd220",
+       "model_id": "af7901f9d08c4d1daace7d31c92c03b8",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "Casting to class labels:   0%|          | 0/2970 [00:00<?, ?ba/s]"
+       "Casting to class labels:   0%|          | 0/3538 [00:00<?, ?ba/s]"
       ]
      },
      "metadata": {},
@@ -137,12 +140,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "51a1d48faae14bbe9a9701f26961c6a5",
+       "model_id": "342cbe6ab8e34061a2bc7c1edfa875fc",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "Casting the dataset:   0%|          | 0/297 [00:00<?, ?ba/s]"
+       "Casting the dataset:   0%|          | 0/354 [00:00<?, ?ba/s]"
       ]
      },
      "metadata": {},
@@ -158,16 +161,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatasetDict({\n",
+       "    combined: Dataset({\n",
+       "        features: ['Binary', 'Addr', 'Name', 'Type', 'Disassembly'],\n",
+       "        num_rows: 3537794\n",
+       "    })\n",
+       "})"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2969790"
+       "3537794"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -178,11 +206,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Pushing split combined to the Hub.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ad1a75d926bf4dc4aaf06fd29f8ed9b6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Pushing dataset shards to the dataset hub:   0%|          | 0/13 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "ds.push_to_hub('ejschwartz/oo-model-test')"
+    "ds.push_to_hub('ejschwartz/oo-method-test')"
    ]
   }
  ],