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"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "a159d377",
"metadata": {},
"outputs": [],
"source": [
"# Change these\n",
"\n",
"my_original_dataset_name = \"canopylabs/zac-sample-dataset\"\n",
"\n",
"\n",
"## CHANGE TO YOUR NAMESPACE\n",
"name_to_push_dataset_to = \"<my-namespace>/zac_sample-dataset-tokenised\"\n",
"\n",
"\n",
"## CHANGE TO YOUR HUGGINGFACE TOKEN\n",
"!huggingface-cli login --token=<your token>"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e5ac9ebc",
"metadata": {},
"outputs": [
{
"ename": "RepositoryNotFoundError",
"evalue": "404 Client Error. (Request ID: Root=1-687d0c06-50cf6ee7295f26c4651f5d39;08d77be3-656d-4bf7-9fc6-04ccf2b9a736)\n\nRepository Not Found for url: https://huggingface.co/api/datasets/tokenized/revision/main.\nPlease make sure you specified the correct `repo_id` and `repo_type`.\nIf you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mHTTPError\u001b[0m Traceback (most recent call last)",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/site-packages/huggingface_hub/utils/_http.py:409\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m 408\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 409\u001b[0m response\u001b[38;5;241m.\u001b[39mraise_for_status()\n\u001b[1;32m 410\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m HTTPError \u001b[38;5;28;01mas\u001b[39;00m e:\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/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",
"\u001b[0;31mHTTPError\u001b[0m: 404 Client Error: Not Found for url: https://huggingface.co/api/datasets/tokenized/revision/main",
"\nThe above exception was the direct cause of the following exception:\n",
"\u001b[0;31mRepositoryNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[6], line 12\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdatasets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m load_dataset\n\u001b[1;32m 10\u001b[0m dsn \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtokenized\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 12\u001b[0m snapshot_download(\n\u001b[1;32m 13\u001b[0m repo_id\u001b[38;5;241m=\u001b[39mdsn,\n\u001b[1;32m 14\u001b[0m repo_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdataset\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 15\u001b[0m revision\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmain\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 16\u001b[0m max_workers\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m64\u001b[39m,\n\u001b[1;32m 17\u001b[0m )\n\u001b[1;32m 20\u001b[0m ds \u001b[38;5;241m=\u001b[39m load_dataset(dsn, split\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrain\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 21\u001b[0m ds_sample_rate \u001b[38;5;241m=\u001b[39m ds[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maudio\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msampling_rate\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/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 fn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/site-packages/huggingface_hub/_snapshot_download.py:245\u001b[0m, in \u001b[0;36msnapshot_download\u001b[0;34m(repo_id, repo_type, revision, cache_dir, local_dir, library_name, library_version, user_agent, proxies, etag_timeout, force_download, token, local_files_only, allow_patterns, ignore_patterns, max_workers, tqdm_class, headers, endpoint, local_dir_use_symlinks, resume_download)\u001b[0m\n\u001b[1;32m 236\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LocalEntryNotFoundError(\n\u001b[1;32m 237\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot find an appropriate cached snapshot folder for the specified revision on the local disk and \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 238\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moutgoing traffic has been disabled. To enable repo look-ups and downloads online, set \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 239\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHF_HUB_OFFLINE=0\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m as environment variable.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 240\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mapi_call_error\u001b[39;00m\n\u001b[1;32m 241\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(api_call_error, (RepositoryNotFoundError, GatedRepoError)) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 242\u001b[0m \u001b[38;5;28misinstance\u001b[39m(api_call_error, HfHubHTTPError) \u001b[38;5;129;01mand\u001b[39;00m api_call_error\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mstatus_code \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m401\u001b[39m\n\u001b[1;32m 243\u001b[0m ):\n\u001b[1;32m 244\u001b[0m \u001b[38;5;66;03m# Repo not found, gated, or specific authentication error => let's raise the actual error\u001b[39;00m\n\u001b[0;32m--> 245\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m api_call_error\n\u001b[1;32m 246\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 247\u001b[0m \u001b[38;5;66;03m# Otherwise: most likely a connection issue or Hub downtime => let's warn the user\u001b[39;00m\n\u001b[1;32m 248\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LocalEntryNotFoundError(\n\u001b[1;32m 249\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAn error happened while trying to locate the files on the Hub and we cannot find the appropriate\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 250\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m snapshot folder for the specified revision on the local disk. Please check your internet connection\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m and try again.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 252\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mapi_call_error\u001b[39;00m\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/site-packages/huggingface_hub/_snapshot_download.py:165\u001b[0m, in \u001b[0;36msnapshot_download\u001b[0;34m(repo_id, repo_type, revision, cache_dir, local_dir, library_name, library_version, user_agent, proxies, etag_timeout, force_download, token, local_files_only, allow_patterns, ignore_patterns, max_workers, tqdm_class, headers, endpoint, local_dir_use_symlinks, resume_download)\u001b[0m\n\u001b[1;32m 161\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m local_files_only:\n\u001b[1;32m 162\u001b[0m \u001b[38;5;66;03m# try/except logic to handle different errors => taken from `hf_hub_download`\u001b[39;00m\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 164\u001b[0m \u001b[38;5;66;03m# if we have internet connection we want to list files to download\u001b[39;00m\n\u001b[0;32m--> 165\u001b[0m repo_info \u001b[38;5;241m=\u001b[39m api\u001b[38;5;241m.\u001b[39mrepo_info(repo_id\u001b[38;5;241m=\u001b[39mrepo_id, repo_type\u001b[38;5;241m=\u001b[39mrepo_type, revision\u001b[38;5;241m=\u001b[39mrevision)\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mSSLError, requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mProxyError):\n\u001b[1;32m 167\u001b[0m \u001b[38;5;66;03m# Actually raise for those subclasses of ConnectionError\u001b[39;00m\n\u001b[1;32m 168\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/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 fn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/site-packages/huggingface_hub/hf_api.py:2844\u001b[0m, in \u001b[0;36mHfApi.repo_info\u001b[0;34m(self, repo_id, revision, repo_type, timeout, files_metadata, expand, token)\u001b[0m\n\u001b[1;32m 2842\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 2843\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnsupported repo type.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 2844\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m method(\n\u001b[1;32m 2845\u001b[0m repo_id,\n\u001b[1;32m 2846\u001b[0m revision\u001b[38;5;241m=\u001b[39mrevision,\n\u001b[1;32m 2847\u001b[0m token\u001b[38;5;241m=\u001b[39mtoken,\n\u001b[1;32m 2848\u001b[0m timeout\u001b[38;5;241m=\u001b[39mtimeout,\n\u001b[1;32m 2849\u001b[0m expand\u001b[38;5;241m=\u001b[39mexpand, \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n\u001b[1;32m 2850\u001b[0m files_metadata\u001b[38;5;241m=\u001b[39mfiles_metadata,\n\u001b[1;32m 2851\u001b[0m )\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/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 fn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/site-packages/huggingface_hub/hf_api.py:2702\u001b[0m, in \u001b[0;36mHfApi.dataset_info\u001b[0;34m(self, repo_id, revision, timeout, files_metadata, expand, token)\u001b[0m\n\u001b[1;32m 2699\u001b[0m params[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexpand\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m expand\n\u001b[1;32m 2701\u001b[0m r \u001b[38;5;241m=\u001b[39m get_session()\u001b[38;5;241m.\u001b[39mget(path, headers\u001b[38;5;241m=\u001b[39mheaders, timeout\u001b[38;5;241m=\u001b[39mtimeout, params\u001b[38;5;241m=\u001b[39mparams)\n\u001b[0;32m-> 2702\u001b[0m hf_raise_for_status(r)\n\u001b[1;32m 2703\u001b[0m data \u001b[38;5;241m=\u001b[39m r\u001b[38;5;241m.\u001b[39mjson()\n\u001b[1;32m 2704\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m DatasetInfo(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mdata)\n",
"File \u001b[0;32m/opt/anaconda3/lib/python3.12/site-packages/huggingface_hub/utils/_http.py:459\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m 438\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m error_code \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRepoNotFound\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 439\u001b[0m response\u001b[38;5;241m.\u001b[39mstatus_code \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m401\u001b[39m\n\u001b[1;32m 440\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m error_message \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInvalid credentials in Authorization header\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[38;5;66;03m# => for now, we process them as `RepoNotFound` anyway.\u001b[39;00m\n\u001b[1;32m 449\u001b[0m \u001b[38;5;66;03m# See https://gist.github.com/Wauplin/46c27ad266b15998ce56a6603796f0b9\u001b[39;00m\n\u001b[1;32m 450\u001b[0m message \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 451\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresponse\u001b[38;5;241m.\u001b[39mstatus_code\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m Client Error.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 452\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 457\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m https://huggingface.co/docs/huggingface_hub/authentication\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 458\u001b[0m )\n\u001b[0;32m--> 459\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m _format(RepositoryNotFoundError, message, response) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m response\u001b[38;5;241m.\u001b[39mstatus_code \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m400\u001b[39m:\n\u001b[1;32m 462\u001b[0m message \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 463\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mBad request for \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mendpoint_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m endpoint:\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m endpoint_name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mBad request:\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 464\u001b[0m )\n",
"\u001b[0;31mRepositoryNotFoundError\u001b[0m: 404 Client Error. (Request ID: Root=1-687d0c06-50cf6ee7295f26c4651f5d39;08d77be3-656d-4bf7-9fc6-04ccf2b9a736)\n\nRepository Not Found for url: https://huggingface.co/api/datasets/tokenized/revision/main.\nPlease make sure you specified the correct `repo_id` and `repo_type`.\nIf you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication"
]
}
],
"source": [
"#@title Installation & Setup\n",
"import locale\n",
"locale.getpreferredencoding = lambda: \"UTF-8\"\n",
"import torch\n",
"from snac import SNAC\n",
"from datasets import load_dataset\n",
"from huggingface_hub import snapshot_download\n",
"from datasets import load_dataset\n",
"\n",
"dsn = my_original_dataset_name\n",
"\n",
"snapshot_download(\n",
" repo_id=dsn,\n",
" repo_type=\"dataset\",\n",
" revision=\"main\",\n",
" max_workers=64,\n",
")\n",
"\n",
"\n",
"ds = load_dataset(dsn, split=\"train\")\n",
"ds_sample_rate = ds[0][\"audio\"][\"sampling_rate\"]\n",
"\n",
"model = SNAC.from_pretrained(\"hubertsiuzdak/snac_24khz\")\n",
"model = model.to(\"cuda\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1d083259",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|