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  1. exploration.ipynb +25 -166
exploration.ipynb CHANGED
@@ -2,7 +2,7 @@
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  "cells": [
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  {
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  "cell_type": "code",
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- "execution_count": 1,
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  "id": "4991385a-1cc9-4cd7-b144-36dc0478fafe",
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  "metadata": {},
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  "outputs": [],
@@ -12,216 +12,75 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 2,
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  "id": "a32c61a3-b0f8-430b-9c4d-ff27a1a7942e",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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  "import datasets\n",
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- "from renumics import spotlight"
 
 
22
  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 3,
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  "id": "fada8bfa-c2ea-441a-9d07-f67fa8047138",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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- "dataset = datasets.load_dataset(\"renumics/speech_commands_enrichment_only\")\n",
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- "raw_dataset = datasets.load_dataset(\"speech_commands\", 'v0.01')"
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  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 4,
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  "id": "7e486382-31cd-4b69-8a9e-fe3d7ac94b41",
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  "metadata": {},
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- "outputs": [
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- {
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- "data": {
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- "text/plain": [
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- "DatasetDict({\n",
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- " train: Dataset({\n",
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- " features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
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- " num_rows: 51093\n",
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- " })\n",
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- " validation: Dataset({\n",
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- " features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
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- " num_rows: 6799\n",
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- " })\n",
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- " test: Dataset({\n",
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- " features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
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- " num_rows: 3081\n",
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- " })\n",
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- "})"
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- ]
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- },
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- "execution_count": 4,
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- "metadata": {},
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- "output_type": "execute_result"
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- }
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- ],
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  "source": [
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  "dataset"
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  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 5,
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- "id": "9594c54a-c024-4492-af7b-f1c25bb4de6b",
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- "metadata": {},
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- "outputs": [
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- {
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- "data": {
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- "text/plain": [
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- "DatasetDict({\n",
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- " train: Dataset({\n",
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- " features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
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- " num_rows: 51093\n",
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- " })\n",
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- " validation: Dataset({\n",
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- " features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
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- " num_rows: 6799\n",
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- " })\n",
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- " test: Dataset({\n",
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- " features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
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- " num_rows: 3081\n",
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- " })\n",
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- "})"
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- ]
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- },
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- "execution_count": 5,
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- "metadata": {},
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- "output_type": "execute_result"
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- }
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- ],
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- "source": [
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- "raw_dataset"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 6,
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  "id": "ddda31eb-fdab-4ed3-81cc-88506ae0d7d5",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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- "joined_dataset_enrichment = datasets.concatenate_datasets([dataset[\"train\"], dataset[\"validation\"], dataset[\"test\"]])\n",
111
- "raw_dataset_joined = datasets.concatenate_datasets([raw_dataset[\"train\"].sort(\"file\"), raw_dataset[\"validation\"].sort(\"file\"), \n",
112
- " raw_dataset[\"test\"].sort(\"file\")])"
113
  ]
114
  },
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  {
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  "cell_type": "code",
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- "execution_count": 7,
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  "id": "2b8918a3-5037-4062-b9cd-40b4a8a4d6c0",
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  "metadata": {},
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- "outputs": [
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- {
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- "data": {
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- "text/plain": [
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- "Dataset({\n",
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- " features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
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- " num_rows: 60973\n",
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- "})"
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- ]
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- },
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- "execution_count": 7,
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- "metadata": {},
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- "output_type": "execute_result"
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- }
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- ],
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- "source": [
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- "joined_dataset_enrichment"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 8,
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- "id": "fa6ca118-3df0-4b6b-a036-4c70544500e3",
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- "metadata": {},
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- "outputs": [
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- {
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- "data": {
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- "text/plain": [
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- "Dataset({\n",
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- " features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
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- " num_rows: 60973\n",
151
- "})"
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- ]
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- },
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- "execution_count": 8,
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- "metadata": {},
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- "output_type": "execute_result"
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- }
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- ],
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- "source": [
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- "#raw_dataset_joined = raw_dataset_joined.sort(\"file\")\n",
161
- "raw_dataset_joined"
162
- ]
163
- },
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- {
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- "cell_type": "code",
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- "execution_count": 9,
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- "id": "0a56d781-5b5c-4deb-aa4f-c9a1a96ac650",
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- "metadata": {},
169
  "outputs": [],
170
  "source": [
171
- "complete_dataset = datasets.concatenate_datasets([raw_dataset_joined, joined_dataset_enrichment], axis=1)"
172
  ]
173
  },
174
  {
175
  "cell_type": "code",
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- "execution_count": 10,
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- "id": "cb487431-8bc6-483a-bf25-a917278b6781",
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- "metadata": {},
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- "outputs": [
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- {
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- "data": {
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- "text/plain": [
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- "Dataset({\n",
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- " features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id', 'label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
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- " num_rows: 60973\n",
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- "})"
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- ]
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- },
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- "execution_count": 10,
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- "metadata": {},
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- "output_type": "execute_result"
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- }
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- ],
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- "source": [
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- "complete_dataset"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 13,
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  "id": "a11fefeb-9fd1-4500-9b9f-3275207b1cde",
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  "metadata": {},
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- "outputs": [
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- {
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- "ename": "TypeError",
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- "evalue": "'module' object is not callable",
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- "output_type": "error",
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- "traceback": [
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- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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- "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
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- "Cell \u001b[0;32mIn[13], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m spotlight\u001b[38;5;241m.\u001b[39mshow(\n\u001b[1;32m 2\u001b[0m complete_dataset,\n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m#layout= layout.parse(\"spotlight-layout.json\"),\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m layout\u001b[38;5;241m=\u001b[39m\u001b[43mspotlight\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlayouts\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel_debug\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m,\n\u001b[1;32m 5\u001b[0m port\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m7860\u001b[39m, \n\u001b[1;32m 6\u001b[0m host\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m0.0.0.0\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 7\u001b[0m allow_filebrowsing\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m \n\u001b[1;32m 8\u001b[0m )\n",
212
- "\u001b[0;31mTypeError\u001b[0m: 'module' object is not callable"
213
- ]
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- }
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- ],
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  "source": [
 
 
 
 
 
 
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  "spotlight.show(\n",
218
- " complete_dataset,\n",
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- " #layout= layout.parse(\"spotlight-layout.json\"),\n",
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- " layout=spotlight.layouts.debug_classification(),\n",
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- " port=7860, \n",
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- " host=\"0.0.0.0\",\n",
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- " allow_filebrowsing=False \n",
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- " )"
225
  ]
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  },
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  {
 
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  "cells": [
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  {
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  "cell_type": "code",
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+ "execution_count": null,
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  "id": "4991385a-1cc9-4cd7-b144-36dc0478fafe",
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  "metadata": {},
8
  "outputs": [],
 
12
  },
13
  {
14
  "cell_type": "code",
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+ "execution_count": null,
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  "id": "a32c61a3-b0f8-430b-9c4d-ff27a1a7942e",
17
  "metadata": {},
18
  "outputs": [],
19
  "source": [
20
  "import datasets\n",
21
+ "from renumics import spotlight\n",
22
+ "\n",
23
+ "from renumics.spotlight.layouts import debug_classification"
24
  ]
25
  },
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  {
27
  "cell_type": "code",
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+ "execution_count": null,
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  "id": "fada8bfa-c2ea-441a-9d07-f67fa8047138",
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  "metadata": {},
31
  "outputs": [],
32
  "source": [
33
+ "dataset = datasets.load_dataset(\"renumics/speech_commands_enrichment_only\", \"raw_and_enrichment_combined\")"
 
34
  ]
35
  },
36
  {
37
  "cell_type": "code",
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+ "execution_count": null,
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  "id": "7e486382-31cd-4b69-8a9e-fe3d7ac94b41",
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  "metadata": {},
41
+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  "source": [
43
  "dataset"
44
  ]
45
  },
46
  {
47
  "cell_type": "code",
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+ "execution_count": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "id": "ddda31eb-fdab-4ed3-81cc-88506ae0d7d5",
50
  "metadata": {},
51
  "outputs": [],
52
  "source": [
53
+ "joined_dataset = datasets.concatenate_datasets([dataset[\"train\"], dataset[\"validation\"], dataset[\"test\"]])"
 
 
54
  ]
55
  },
56
  {
57
  "cell_type": "code",
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+ "execution_count": null,
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  "id": "2b8918a3-5037-4062-b9cd-40b4a8a4d6c0",
60
  "metadata": {},
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "outputs": [],
62
  "source": [
63
+ "joined_dataset"
64
  ]
65
  },
66
  {
67
  "cell_type": "code",
68
+ "execution_count": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "id": "a11fefeb-9fd1-4500-9b9f-3275207b1cde",
70
  "metadata": {},
71
+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
72
  "source": [
73
+ "layout = debug_classification(label='label_string', prediction='prediction', embedding='embedding_reduced', \n",
74
+ " features=[\"label\", \"prediction\", \"probability\"], inspect={'audio': spotlight.Audio})\n",
75
+ "dtypes = {\n",
76
+ " \"audio\": spotlight.Audio,\n",
77
+ " \"embedding_reduced\": spotlight.Embedding\n",
78
+ "}\n",
79
  "spotlight.show(\n",
80
+ " joined_dataset,\n",
81
+ " dtype=dtypes,\n",
82
+ " layout= layout\n",
83
+ ")\n"
 
 
 
84
  ]
85
  },
86
  {