Datasets:
Tasks:
Audio Classification
Formats:
parquet
Sub-tasks:
keyword-spotting
Languages:
English
Size:
100K - 1M
ArXiv:
License:
Upload exploration.ipynb with huggingface_hub
Browse files- exploration.ipynb +25 -166
exploration.ipynb
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
"cells": [
|
3 |
{
|
4 |
"cell_type": "code",
|
5 |
-
"execution_count":
|
6 |
"id": "4991385a-1cc9-4cd7-b144-36dc0478fafe",
|
7 |
"metadata": {},
|
8 |
"outputs": [],
|
@@ -12,216 +12,75 @@
|
|
12 |
},
|
13 |
{
|
14 |
"cell_type": "code",
|
15 |
-
"execution_count":
|
16 |
"id": "a32c61a3-b0f8-430b-9c4d-ff27a1a7942e",
|
17 |
"metadata": {},
|
18 |
"outputs": [],
|
19 |
"source": [
|
20 |
"import datasets\n",
|
21 |
-
"from renumics import spotlight"
|
|
|
|
|
22 |
]
|
23 |
},
|
24 |
{
|
25 |
"cell_type": "code",
|
26 |
-
"execution_count":
|
27 |
"id": "fada8bfa-c2ea-441a-9d07-f67fa8047138",
|
28 |
"metadata": {},
|
29 |
"outputs": [],
|
30 |
"source": [
|
31 |
-
"dataset = datasets.load_dataset(\"renumics/speech_commands_enrichment_only\"
|
32 |
-
"raw_dataset = datasets.load_dataset(\"speech_commands\", 'v0.01')"
|
33 |
]
|
34 |
},
|
35 |
{
|
36 |
"cell_type": "code",
|
37 |
-
"execution_count":
|
38 |
"id": "7e486382-31cd-4b69-8a9e-fe3d7ac94b41",
|
39 |
"metadata": {},
|
40 |
-
"outputs": [
|
41 |
-
{
|
42 |
-
"data": {
|
43 |
-
"text/plain": [
|
44 |
-
"DatasetDict({\n",
|
45 |
-
" train: Dataset({\n",
|
46 |
-
" features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
|
47 |
-
" num_rows: 51093\n",
|
48 |
-
" })\n",
|
49 |
-
" validation: Dataset({\n",
|
50 |
-
" features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
|
51 |
-
" num_rows: 6799\n",
|
52 |
-
" })\n",
|
53 |
-
" test: Dataset({\n",
|
54 |
-
" features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
|
55 |
-
" num_rows: 3081\n",
|
56 |
-
" })\n",
|
57 |
-
"})"
|
58 |
-
]
|
59 |
-
},
|
60 |
-
"execution_count": 4,
|
61 |
-
"metadata": {},
|
62 |
-
"output_type": "execute_result"
|
63 |
-
}
|
64 |
-
],
|
65 |
"source": [
|
66 |
"dataset"
|
67 |
]
|
68 |
},
|
69 |
{
|
70 |
"cell_type": "code",
|
71 |
-
"execution_count":
|
72 |
-
"id": "9594c54a-c024-4492-af7b-f1c25bb4de6b",
|
73 |
-
"metadata": {},
|
74 |
-
"outputs": [
|
75 |
-
{
|
76 |
-
"data": {
|
77 |
-
"text/plain": [
|
78 |
-
"DatasetDict({\n",
|
79 |
-
" train: Dataset({\n",
|
80 |
-
" features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
|
81 |
-
" num_rows: 51093\n",
|
82 |
-
" })\n",
|
83 |
-
" validation: Dataset({\n",
|
84 |
-
" features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
|
85 |
-
" num_rows: 6799\n",
|
86 |
-
" })\n",
|
87 |
-
" test: Dataset({\n",
|
88 |
-
" features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
|
89 |
-
" num_rows: 3081\n",
|
90 |
-
" })\n",
|
91 |
-
"})"
|
92 |
-
]
|
93 |
-
},
|
94 |
-
"execution_count": 5,
|
95 |
-
"metadata": {},
|
96 |
-
"output_type": "execute_result"
|
97 |
-
}
|
98 |
-
],
|
99 |
-
"source": [
|
100 |
-
"raw_dataset"
|
101 |
-
]
|
102 |
-
},
|
103 |
-
{
|
104 |
-
"cell_type": "code",
|
105 |
-
"execution_count": 6,
|
106 |
"id": "ddda31eb-fdab-4ed3-81cc-88506ae0d7d5",
|
107 |
"metadata": {},
|
108 |
"outputs": [],
|
109 |
"source": [
|
110 |
-
"
|
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 |
},
|
115 |
{
|
116 |
"cell_type": "code",
|
117 |
-
"execution_count":
|
118 |
"id": "2b8918a3-5037-4062-b9cd-40b4a8a4d6c0",
|
119 |
"metadata": {},
|
120 |
-
"outputs": [
|
121 |
-
{
|
122 |
-
"data": {
|
123 |
-
"text/plain": [
|
124 |
-
"Dataset({\n",
|
125 |
-
" features: ['label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
|
126 |
-
" num_rows: 60973\n",
|
127 |
-
"})"
|
128 |
-
]
|
129 |
-
},
|
130 |
-
"execution_count": 7,
|
131 |
-
"metadata": {},
|
132 |
-
"output_type": "execute_result"
|
133 |
-
}
|
134 |
-
],
|
135 |
-
"source": [
|
136 |
-
"joined_dataset_enrichment"
|
137 |
-
]
|
138 |
-
},
|
139 |
-
{
|
140 |
-
"cell_type": "code",
|
141 |
-
"execution_count": 8,
|
142 |
-
"id": "fa6ca118-3df0-4b6b-a036-4c70544500e3",
|
143 |
-
"metadata": {},
|
144 |
-
"outputs": [
|
145 |
-
{
|
146 |
-
"data": {
|
147 |
-
"text/plain": [
|
148 |
-
"Dataset({\n",
|
149 |
-
" features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id'],\n",
|
150 |
-
" num_rows: 60973\n",
|
151 |
-
"})"
|
152 |
-
]
|
153 |
-
},
|
154 |
-
"execution_count": 8,
|
155 |
-
"metadata": {},
|
156 |
-
"output_type": "execute_result"
|
157 |
-
}
|
158 |
-
],
|
159 |
-
"source": [
|
160 |
-
"#raw_dataset_joined = raw_dataset_joined.sort(\"file\")\n",
|
161 |
-
"raw_dataset_joined"
|
162 |
-
]
|
163 |
-
},
|
164 |
-
{
|
165 |
-
"cell_type": "code",
|
166 |
-
"execution_count": 9,
|
167 |
-
"id": "0a56d781-5b5c-4deb-aa4f-c9a1a96ac650",
|
168 |
-
"metadata": {},
|
169 |
"outputs": [],
|
170 |
"source": [
|
171 |
-
"
|
172 |
]
|
173 |
},
|
174 |
{
|
175 |
"cell_type": "code",
|
176 |
-
"execution_count":
|
177 |
-
"id": "cb487431-8bc6-483a-bf25-a917278b6781",
|
178 |
-
"metadata": {},
|
179 |
-
"outputs": [
|
180 |
-
{
|
181 |
-
"data": {
|
182 |
-
"text/plain": [
|
183 |
-
"Dataset({\n",
|
184 |
-
" features: ['file', 'audio', 'label', 'is_unknown', 'speaker_id', 'utterance_id', 'label_string', 'probability', 'probability_vector', 'prediction', 'prediction_string', 'embedding_reduced', '__index_level_0__'],\n",
|
185 |
-
" num_rows: 60973\n",
|
186 |
-
"})"
|
187 |
-
]
|
188 |
-
},
|
189 |
-
"execution_count": 10,
|
190 |
-
"metadata": {},
|
191 |
-
"output_type": "execute_result"
|
192 |
-
}
|
193 |
-
],
|
194 |
-
"source": [
|
195 |
-
"complete_dataset"
|
196 |
-
]
|
197 |
-
},
|
198 |
-
{
|
199 |
-
"cell_type": "code",
|
200 |
-
"execution_count": 13,
|
201 |
"id": "a11fefeb-9fd1-4500-9b9f-3275207b1cde",
|
202 |
"metadata": {},
|
203 |
-
"outputs": [
|
204 |
-
{
|
205 |
-
"ename": "TypeError",
|
206 |
-
"evalue": "'module' object is not callable",
|
207 |
-
"output_type": "error",
|
208 |
-
"traceback": [
|
209 |
-
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
210 |
-
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
|
211 |
-
"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 |
-
]
|
214 |
-
}
|
215 |
-
],
|
216 |
"source": [
|
|
|
|
|
|
|
|
|
|
|
|
|
217 |
"spotlight.show(\n",
|
218 |
-
"
|
219 |
-
"
|
220 |
-
"
|
221 |
-
"
|
222 |
-
" host=\"0.0.0.0\",\n",
|
223 |
-
" allow_filebrowsing=False \n",
|
224 |
-
" )"
|
225 |
]
|
226 |
},
|
227 |
{
|
|
|
2 |
"cells": [
|
3 |
{
|
4 |
"cell_type": "code",
|
5 |
+
"execution_count": null,
|
6 |
"id": "4991385a-1cc9-4cd7-b144-36dc0478fafe",
|
7 |
"metadata": {},
|
8 |
"outputs": [],
|
|
|
12 |
},
|
13 |
{
|
14 |
"cell_type": "code",
|
15 |
+
"execution_count": null,
|
16 |
"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 |
},
|
26 |
{
|
27 |
"cell_type": "code",
|
28 |
+
"execution_count": null,
|
29 |
"id": "fada8bfa-c2ea-441a-9d07-f67fa8047138",
|
30 |
"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",
|
38 |
+
"execution_count": null,
|
39 |
"id": "7e486382-31cd-4b69-8a9e-fe3d7ac94b41",
|
40 |
"metadata": {},
|
41 |
+
"outputs": [],
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
42 |
"source": [
|
43 |
"dataset"
|
44 |
]
|
45 |
},
|
46 |
{
|
47 |
"cell_type": "code",
|
48 |
+
"execution_count": null,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
49 |
"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",
|
58 |
+
"execution_count": null,
|
59 |
"id": "2b8918a3-5037-4062-b9cd-40b4a8a4d6c0",
|
60 |
"metadata": {},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
61 |
"outputs": [],
|
62 |
"source": [
|
63 |
+
"joined_dataset"
|
64 |
]
|
65 |
},
|
66 |
{
|
67 |
"cell_type": "code",
|
68 |
+
"execution_count": null,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
69 |
"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 |
{
|