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exploration.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "4991385a-1cc9-4cd7-b144-36dc0478fafe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#!pip install renumics-spotlight datasets[audio]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a32c61a3-b0f8-430b-9c4d-ff27a1a7942e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datasets\n",
+    "from renumics import spotlight"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "fada8bfa-c2ea-441a-9d07-f67fa8047138",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "793bc6d31f7c430f99c5a535c9f810e2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading readme:   0%|          | 0.00/782 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d5a8278532bf48669b3c6322184f4a08",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data files:   0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fc555fe7338e4e2283195c5fcd197383",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data:   0%|          | 0.00/10.6M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f562fcb145974bacb44deb1601095a22",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data:   0%|          | 0.00/1.41M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4574322be3824d749649a01ddc28ca82",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data:   0%|          | 0.00/638k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ef4f9b9247e545759e5c2d5b40315de7",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Extracting data files:   0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fdc18a8dc915447486fb922ba67d7299",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Generating train split:   0%|          | 0/51093 [00:00<?, ? examples/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "844dede7e86d48449b913bbf105aa355",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Generating validation split:   0%|          | 0/6799 [00:00<?, ? examples/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6e988cd434ea4f10bfc5709b100a1a06",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Generating test split:   0%|          | 0/3081 [00:00<?, ? examples/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dataset = datasets.load_dataset(\"renumics/speech_commands_enrichment_only\")\n",
+    "raw_dataset = datasets.load_dataset(\"speech_commands\", 'v0.01')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "7e486382-31cd-4b69-8a9e-fe3d7ac94b41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatasetDict({\n",
+       "    train: Dataset({\n",
+       "        features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
+       "        num_rows: 51093\n",
+       "    })\n",
+       "    validation: Dataset({\n",
+       "        features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
+       "        num_rows: 6799\n",
+       "    })\n",
+       "    test: Dataset({\n",
+       "        features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
+       "        num_rows: 3081\n",
+       "    })\n",
+       "})"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9594c54a-c024-4492-af7b-f1c25bb4de6b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatasetDict({\n",
+       "    train: Dataset({\n",
+       "        features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
+       "        num_rows: 51093\n",
+       "    })\n",
+       "    validation: Dataset({\n",
+       "        features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
+       "        num_rows: 6799\n",
+       "    })\n",
+       "    test: Dataset({\n",
+       "        features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
+       "        num_rows: 3081\n",
+       "    })\n",
+       "})"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ddda31eb-fdab-4ed3-81cc-88506ae0d7d5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "joined_dataset_enrichment = datasets.concatenate_datasets([dataset[\"train\"], dataset[\"validation\"], dataset[\"test\"]])\n",
+    "raw_dataset_joined = datasets.concatenate_datasets([raw_dataset[\"train\"].sort(\"file\"), raw_dataset[\"validation\"].sort(\"file\"), \n",
+    "                                                    raw_dataset[\"test\"].sort(\"file\")])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "2b8918a3-5037-4062-b9cd-40b4a8a4d6c0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset({\n",
+       "    features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
+       "    num_rows: 60973\n",
+       "})"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "joined_dataset_enrichment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "fa6ca118-3df0-4b6b-a036-4c70544500e3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset({\n",
+       "    features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
+       "    num_rows: 60973\n",
+       "})"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#raw_dataset_joined = raw_dataset_joined.sort(\"file\")\n",
+    "raw_dataset_joined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "0a56d781-5b5c-4deb-aa4f-c9a1a96ac650",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4daa94720e334ecd9c1d3cc679bc1ee5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Flattening the indices:   0%|          | 0/60973 [00:00<?, ? examples/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5a7effce6372433b814701d1a0a51e05",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Flattening the indices:   0%|          | 0/60973 [00:00<?, ? examples/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "complete_dataset = datasets.concatenate_datasets([raw_dataset_joined, joined_dataset_enrichment], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "cb487431-8bc6-483a-bf25-a917278b6781",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset({\n",
+       "    features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id', 'label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
+       "    num_rows: 60973\n",
+       "})"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complete_dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "a11fefeb-9fd1-4500-9b9f-3275207b1cde",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "KeyboardInterrupt\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "spotlight.show(\n",
+    "                complete_dataset,\n",
+    "                #layout= layout.parse(\"spotlight-layout.json\"),\n",
+    "                port=7860, \n",
+    "                host=\"0.0.0.0\",\n",
+    "                allow_filebrowsing=False \n",
+    "            )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f1e38449-7bc1-4ae5-a754-a914a808a534",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}