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|
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|
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IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
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|
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Section 6(a), it reinstates:
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1. automatically as of the date the violation is cured, provided
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For the avoidance of doubt, this Section 6(b) does not affect any
|
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|
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|
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|
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|
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|
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distributing the Licensed Material at any time; however, doing so
|
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|
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+
|
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+
d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
|
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+
License.
|
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+
|
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|
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+
Section 7 -- Other Terms and Conditions.
|
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|
353 |
+
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|
354 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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+
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
399 |
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|
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|
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|
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+
|
403 |
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Creative Commons may be contacted at creativecommons.org.
|
process_coraa.ipynb
ADDED
@@ -0,0 +1,207 @@
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|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 1,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [
|
8 |
+
{
|
9 |
+
"name": "stderr",
|
10 |
+
"output_type": "stream",
|
11 |
+
"text": [
|
12 |
+
"/home/escher/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
|
13 |
+
" from .autonotebook import tqdm as notebook_tqdm\n"
|
14 |
+
]
|
15 |
+
}
|
16 |
+
],
|
17 |
+
"source": [
|
18 |
+
"# pip install librosa soundfile datasets transformers pandas\n",
|
19 |
+
"\n",
|
20 |
+
"import os\n",
|
21 |
+
"import pandas as pd\n",
|
22 |
+
"from datasets import Dataset, DatasetDict, load_dataset, Audio\n",
|
23 |
+
"\n",
|
24 |
+
"# Define the paths to your data\n",
|
25 |
+
"audio_folder = \".\"\n",
|
26 |
+
"metadata_files = {\n",
|
27 |
+
" \"train\": \"./metadata_train_final.csv\",\n",
|
28 |
+
" \"dev\": \"./metadata_dev_final.csv\",\n",
|
29 |
+
" \"test\": \"./metadata_test_final.csv\"\n",
|
30 |
+
"}\n",
|
31 |
+
"\n",
|
32 |
+
"# Function to load and process each split\n",
|
33 |
+
"def load_and_process_split(split_name, metadata_file):\n",
|
34 |
+
" metadata = pd.read_csv(metadata_file)\n",
|
35 |
+
" dataset = Dataset.from_pandas(metadata)\n",
|
36 |
+
" dataset = dataset.map(lambda row: {\"audio\": os.path.join(audio_folder, row[\"file_path\"])})\n",
|
37 |
+
" dataset = dataset.cast_column(\"audio\", Audio())\n",
|
38 |
+
" return dataset\n"
|
39 |
+
]
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"cell_type": "code",
|
43 |
+
"execution_count": 2,
|
44 |
+
"metadata": {},
|
45 |
+
"outputs": [
|
46 |
+
{
|
47 |
+
"name": "stderr",
|
48 |
+
"output_type": "stream",
|
49 |
+
"text": [
|
50 |
+
"Map: 100%|██████████| 382258/382258 [02:35<00:00, 2456.10 examples/s]\n",
|
51 |
+
"Map: 100%|██████████| 7522/7522 [00:03<00:00, 2342.43 examples/s]\n",
|
52 |
+
"Map: 100%|██████████| 12676/12676 [00:05<00:00, 2413.03 examples/s]\n",
|
53 |
+
"Saving the dataset (125/125 shards): 100%|██████████| 382258/382258 [15:59<00:00, 398.47 examples/s]\n",
|
54 |
+
"Saving the dataset (3/3 shards): 100%|██████████| 7522/7522 [00:44<00:00, 169.61 examples/s]\n",
|
55 |
+
"Saving the dataset (5/5 shards): 100%|██████████| 12676/12676 [00:44<00:00, 282.87 examples/s]\n"
|
56 |
+
]
|
57 |
+
}
|
58 |
+
],
|
59 |
+
"source": [
|
60 |
+
"# Create a DatasetDict\n",
|
61 |
+
"dataset_dict = DatasetDict({\n",
|
62 |
+
" key: load_and_process_split(key, metadata_files[key])\n",
|
63 |
+
" for key in metadata_files\n",
|
64 |
+
"})\n",
|
65 |
+
"\n",
|
66 |
+
"dataset_dict.save_to_disk(\"processed_coraa\")"
|
67 |
+
]
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"cell_type": "code",
|
71 |
+
"execution_count": 2,
|
72 |
+
"metadata": {},
|
73 |
+
"outputs": [
|
74 |
+
{
|
75 |
+
"name": "stderr",
|
76 |
+
"output_type": "stream",
|
77 |
+
"text": [
|
78 |
+
"/home/escher/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
|
79 |
+
" from .autonotebook import tqdm as notebook_tqdm\n"
|
80 |
+
]
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"name": "stdout",
|
84 |
+
"output_type": "stream",
|
85 |
+
"text": [
|
86 |
+
"DatasetDict({\n",
|
87 |
+
" train: Dataset({\n",
|
88 |
+
" features: ['file_path', 'task', 'variety', 'dataset', 'accent', 'speech_genre', 'speech_style', 'up_votes', 'down_votes', 'votes_for_hesitation', 'votes_for_filled_pause', 'votes_for_noise_or_low_voice', 'votes_for_second_voice', 'votes_for_no_identified_problem', 'text', 'audio'],\n",
|
89 |
+
" num_rows: 382258\n",
|
90 |
+
" })\n",
|
91 |
+
" dev: Dataset({\n",
|
92 |
+
" features: ['file_path', 'task', 'variety', 'dataset', 'accent', 'speech_genre', 'speech_style', 'up_votes', 'down_votes', 'votes_for_hesitation', 'votes_for_filled_pause', 'votes_for_noise_or_low_voice', 'votes_for_second_voice', 'votes_for_no_identified_problem', 'text', 'audio'],\n",
|
93 |
+
" num_rows: 7522\n",
|
94 |
+
" })\n",
|
95 |
+
" test: Dataset({\n",
|
96 |
+
" features: ['file_path', 'task', 'variety', 'dataset', 'accent', 'speech_genre', 'speech_style', 'up_votes', 'down_votes', 'votes_for_hesitation', 'votes_for_filled_pause', 'votes_for_noise_or_low_voice', 'votes_for_second_voice', 'votes_for_no_identified_problem', 'text', 'audio'],\n",
|
97 |
+
" num_rows: 12676\n",
|
98 |
+
" })\n",
|
99 |
+
"})\n"
|
100 |
+
]
|
101 |
+
}
|
102 |
+
],
|
103 |
+
"source": [
|
104 |
+
"# After running the script, verify the structure and contents of the processed dataset:\n",
|
105 |
+
"from datasets import load_from_disk\n",
|
106 |
+
"\n",
|
107 |
+
"# Load the processed dataset\n",
|
108 |
+
"dataset_dict = load_from_disk(\"processed_coraa\")\n",
|
109 |
+
"\n",
|
110 |
+
"# Check the dataset structure\n",
|
111 |
+
"print(dataset_dict)\n"
|
112 |
+
]
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"cell_type": "code",
|
116 |
+
"execution_count": 1,
|
117 |
+
"metadata": {},
|
118 |
+
"outputs": [
|
119 |
+
{
|
120 |
+
"ename": "NameError",
|
121 |
+
"evalue": "name 'dataset_dict' is not defined",
|
122 |
+
"output_type": "error",
|
123 |
+
"traceback": [
|
124 |
+
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
125 |
+
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
126 |
+
"Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Check a sample from each split\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mdataset_dict\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdev\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(dataset_dict[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtest\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m# Ensure the audio files are correctly loaded and playable:\u001b[39;00m\n",
|
127 |
+
"\u001b[0;31mNameError\u001b[0m: name 'dataset_dict' is not defined"
|
128 |
+
]
|
129 |
+
}
|
130 |
+
],
|
131 |
+
"source": [
|
132 |
+
"# Check a sample from each split\n",
|
133 |
+
"print(dataset_dict[\"dev\"][0])\n",
|
134 |
+
"print(dataset_dict[\"test\"][0])\n",
|
135 |
+
"\n",
|
136 |
+
"# Ensure the audio files are correctly loaded and playable:\n",
|
137 |
+
"import IPython.display as ipd\n",
|
138 |
+
"\n",
|
139 |
+
"# Display the first audio sample\n",
|
140 |
+
"ipd.Audio(dataset_dict[\"train\"][0][\"audio\"][\"array\"], rate=dataset_dict[\"train\"][0][\"audio\"][\"sampling_rate\"])"
|
141 |
+
]
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"cell_type": "code",
|
145 |
+
"execution_count": 7,
|
146 |
+
"metadata": {},
|
147 |
+
"outputs": [],
|
148 |
+
"source": [
|
149 |
+
"import os\n",
|
150 |
+
"\n",
|
151 |
+
"# Get the token from the environment\n",
|
152 |
+
"token = os.getenv(\"HF_TOKEN\")"
|
153 |
+
]
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"cell_type": "code",
|
157 |
+
"execution_count": 9,
|
158 |
+
"metadata": {},
|
159 |
+
"outputs": [
|
160 |
+
{
|
161 |
+
"ename": "HfHubHTTPError",
|
162 |
+
"evalue": "401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-665a64d7-7c65f3ac5c9f8e342ff9032f;a3372b6f-f746-4fe0-81ac-d5965ae1a6d6)\n\nInvalid username or password.",
|
163 |
+
"output_type": "error",
|
164 |
+
"traceback": [
|
165 |
+
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
166 |
+
"\u001b[0;31mHTTPError\u001b[0m Traceback (most recent call last)",
|
167 |
+
"File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py:304\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m 303\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 304\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 305\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m HTTPError \u001b[38;5;28;01mas\u001b[39;00m e:\n",
|
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+
"File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/requests/models.py:1024\u001b[0m, in \u001b[0;36mResponse.raise_for_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1023\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m http_error_msg:\n\u001b[0;32m-> 1024\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HTTPError(http_error_msg, response\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m)\n",
|
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+
"\u001b[0;31mHTTPError\u001b[0m: 401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create",
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+
"\nThe above exception was the direct cause of the following exception:\n",
|
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+
"\u001b[0;31mHfHubHTTPError\u001b[0m Traceback (most recent call last)",
|
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+
"Cell \u001b[0;32mIn[9], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdataset_dict\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpush_to_hub\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgabrielrstan/CORAA-v1.1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m)\u001b[49m\n",
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+
"File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/datasets/dataset_dict.py:1703\u001b[0m, in \u001b[0;36mDatasetDict.push_to_hub\u001b[0;34m(self, repo_id, config_name, set_default, data_dir, commit_message, commit_description, private, token, revision, branch, create_pr, max_shard_size, num_shards, embed_external_files)\u001b[0m\n\u001b[1;32m 1699\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSplit name should match \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m_split_re\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m but got \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00msplit\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1701\u001b[0m api \u001b[38;5;241m=\u001b[39m HfApi(endpoint\u001b[38;5;241m=\u001b[39mconfig\u001b[38;5;241m.\u001b[39mHF_ENDPOINT, token\u001b[38;5;241m=\u001b[39mtoken)\n\u001b[0;32m-> 1703\u001b[0m repo_url \u001b[38;5;241m=\u001b[39m \u001b[43mapi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_repo\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1704\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1705\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdataset\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mprivate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprivate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mexist_ok\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1710\u001b[0m repo_id \u001b[38;5;241m=\u001b[39m repo_url\u001b[38;5;241m.\u001b[39mrepo_id\n\u001b[1;32m 1712\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m revision \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
|
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+
"File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py:114\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m 112\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[0;32m--> 114\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
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+
"File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/hf_api.py:3256\u001b[0m, in \u001b[0;36mHfApi.create_repo\u001b[0;34m(self, repo_id, token, private, repo_type, exist_ok, space_sdk, space_hardware, space_storage, space_sleep_time, space_secrets, space_variables)\u001b[0m\n\u001b[1;32m 3253\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m 3255\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3256\u001b[0m \u001b[43mhf_raise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43mr\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3257\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m HTTPError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 3258\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m exist_ok \u001b[38;5;129;01mand\u001b[39;00m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mstatus_code \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m409\u001b[39m:\n\u001b[1;32m 3259\u001b[0m \u001b[38;5;66;03m# Repo already exists and `exist_ok=True`\u001b[39;00m\n",
|
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+
"File \u001b[0;32m~/Projects/oficina/CORRA/CORAA-v1.1/.venv/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py:371\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m 367\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HfHubHTTPError(message, response\u001b[38;5;241m=\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 369\u001b[0m \u001b[38;5;66;03m# Convert `HTTPError` into a `HfHubHTTPError` to display request information\u001b[39;00m\n\u001b[1;32m 370\u001b[0m \u001b[38;5;66;03m# as well (request id and/or server error message)\u001b[39;00m\n\u001b[0;32m--> 371\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HfHubHTTPError(\u001b[38;5;28mstr\u001b[39m(e), response\u001b[38;5;241m=\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n",
|
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+
"\u001b[0;31mHfHubHTTPError\u001b[0m: 401 Client Error: Unauthorized for url: https://huggingface.co/api/repos/create (Request ID: Root=1-665a64d7-7c65f3ac5c9f8e342ff9032f;a3372b6f-f746-4fe0-81ac-d5965ae1a6d6)\n\nInvalid username or password."
|
178 |
+
]
|
179 |
+
}
|
180 |
+
],
|
181 |
+
"source": [
|
182 |
+
"dataset_dict.push_to_hub(\"Racoci/CORAA-v1.1\", token=token)"
|
183 |
+
]
|
184 |
+
}
|
185 |
+
],
|
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+
"metadata": {
|
187 |
+
"kernelspec": {
|
188 |
+
"display_name": ".venv",
|
189 |
+
"language": "python",
|
190 |
+
"name": "python3"
|
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+
},
|
192 |
+
"language_info": {
|
193 |
+
"codemirror_mode": {
|
194 |
+
"name": "ipython",
|
195 |
+
"version": 3
|
196 |
+
},
|
197 |
+
"file_extension": ".py",
|
198 |
+
"mimetype": "text/x-python",
|
199 |
+
"name": "python",
|
200 |
+
"nbconvert_exporter": "python",
|
201 |
+
"pygments_lexer": "ipython3",
|
202 |
+
"version": "3.10.12"
|
203 |
+
}
|
204 |
+
},
|
205 |
+
"nbformat": 4,
|
206 |
+
"nbformat_minor": 2
|
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+
}
|