Upload 7 files

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+imatrix_sample.txt filter=lfs diff=lfs merge=lfs -text

imatrix_sample.txt

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imatrix_sample_generator.ipynb

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random*.txt\n","# !pip install -U datasets fsspec -qq\n","from datasets import load_dataset\n","import random"],"metadata":{"id":"HUqrIgq7ldTF","executionInfo":{"status":"ok","timestamp":1748391944041,"user_tz":-540,"elapsed":2383,"user":{"displayName":"片山朋和","userId":"15260227877663782354"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"5e317711-dcdb-4293-b007-419e1c787a06"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["rm: cannot remove 'random*.txt': No such file or directory\n"]}]},{"cell_type":"code","execution_count":2,"metadata":{"id":"A4jrHj3sZogi","colab":{"base_uri":"https://localhost:8080/","height":157,"referenced_widgets":["0e7907fe69a943fab38e6221bae6de7d","7c29beae6dd4435896fb0e137f891fa0","7d1f05362d8a4a6394005cd05ffbed10","7d9a03ae10254437bf6c8c2d13aedfda","e66eb2c0df0f4bb8823dad48998a387a","ecb96b83d3794759a7a963b3408b8907","89a7fcf7a95a4614997776f3ad3e1c87","6451b0a428664165b33a114af2ce4220","a547db3d7f754d9f97ea030223d9b08a","c09141916c724fa284d509ea65141cbe","ed3ae6668f0b4badb37c9e1d1b4a69a3"]},"executionInfo":{"status":"ok","timestamp":1748391959092,"user_tz":-540,"elapsed":15049,"user":{"displayName":"片山朋和","userId":"15260227877663782354"}},"outputId":"06e99b79-dfb1-4e90-adbb-6ed579e24148"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n","  warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["README.md:   0%|          | 0.00/1.97k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"0e7907fe69a943fab38e6221bae6de7d"}},"metadata":{}}],"source":["wiki_ja = load_dataset(\"fujiki/wiki40b_ja\",streaming=True)\n","\n","random_wiki_ja = wiki_ja[\"train\"].shuffle(seed=42).take(1000)\n","with open(\"random_wiki_ja.txt\", \"w\") as f:\n","  for row in random_wiki_ja:\n","    text = row[\"text\"]\n","    # print(text.replace(\"\\n\", \" \"))\n","    f.write(text.replace(\"\\n\", \" \") + \"\\n\")"]},{"cell_type":"code","source":["aozora = load_dataset(\"globis-university/aozorabunko-clean\",streaming=True)\n","\n","random_aozora = aozora[\"train\"].shuffle(seed=42).take(1000)\n","with open(\"random_aozora_clean.txt\", \"w\") as f:\n","  for row in random_aozora:\n","      text = \"\\n\".join(str(row[\"text\"]).split(\"\\n\",maxsplit=50)[:-1])\n","      # print(text.replace(\"\\n\", \" \"))\n","      f.write(text.replace(\"\\n\", \" \") + \"\\n\")"],"metadata":{"id":"X5uXOKKKfrDX","executionInfo":{"status":"ok","timestamp":1748392455112,"user_tz":-540,"elapsed":9679,"user":{"displayName":"片山朋和","userId":"15260227877663782354"}}},"execution_count":16,"outputs":[]},{"cell_type":"code","source":["gutenberg = load_dataset(\"manu/project_gutenberg\",streaming=True)\n","\n","random_gutenberg = gutenberg[\"en\"].shuffle(seed=42).take(1000)\n","with open(\"random_gutenberg.txt\", \"w\") as f:\n","  for row in random_gutenberg:\n","    text = str(row[\"text\"]).split(\"\\n\",maxsplit=150)[-1][:10000]\n","    # print(text.replace(\"\\n\", \" \"))\n","    f.write(text.replace(\"\\n\", \" \") + \"\\n\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":81,"referenced_widgets":["885dc01805c647499a3f99088bcd307b","14bd007c390a40e18b7aa87790dc470e","4886ff77c41347b89d955798f061571f","d0c505af97c043e4b93e6cf2f1dcc371","662d812cddbe4240a29fea475c4a2f69","0e0622048d8045318cd4543ad5838305","dc8daf2516414fc8b12ffa3b71e5316f","16fd6253ca1c4d79b6b1fe0b909baf14","9b9485361c124a879eab0b435ae77887","e869be07fc83409088659a3580649cf1","7b427b180d2447be8c905fc6525d67fe","2250432889b54149be9f035ebce32ee0","7939d920d9db4aeeac7c42eab4ed3730","76c92a94c2694d37bb2df0327469d7e4","6c1da49e37f246d6b2e5c9d9dd254bad","8078c49e5e2d40d99b1632017005ba72","70009c94ddd149409fe41938ccedbd24","d083bdd26b8c4c40a17916e35b59945d","214ff06e501344a4a09a02cbf034a9e1","4a803b66eb1c48f897abe4135bcb3178","9da7cf896090486e9329f6075f587716","4e642eb0421b4b4791807dd55e532abf"]},"id":"DPWUT9gsgUMH","outputId":"fc7e4861-1966-4191-87f7-a353326e3241","executionInfo":{"status":"ok","timestamp":1748392008148,"user_tz":-540,"elapsed":36053,"user":{"displayName":"片山朋和","userId":"15260227877663782354"}}},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":["README.md:   0%|          | 0.00/2.94k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"885dc01805c647499a3f99088bcd307b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Resolving data files:   0%|          | 0/52 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2250432889b54149be9f035ebce32ee0"}},"metadata":{}}]},{"cell_type":"code","source":["wiki_en = load_dataset(\"blo05/cleaned_wiki_en_80-100\",streaming=True)\n","\n","random_wiki_en = wiki_en[\"train\"].shuffle(seed=42).take(1000)\n","with open(\"random_wiki_en.txt\", \"w\") as f:\n","  for row in random_wiki_en:\n","    text = row[\"text\"]\n","    # print(text.replace(\"\\n\", \" \"))\n","    f.write(text.replace(\"\\n\", \" \") + \"\\n\")"],"metadata":{"id":"niaqhhBXRYFr","executionInfo":{"status":"ok","timestamp":1748392015807,"user_tz":-540,"elapsed":7666,"user":{"displayName":"片山朋和","userId":"15260227877663782354"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["!ls -lah"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"FpFG3ClqS8Mq","executionInfo":{"status":"ok","timestamp":1748392473777,"user_tz":-540,"elapsed":147,"user":{"displayName":"片山朋和","userId":"15260227877663782354"}},"outputId":"3e22bfd1-d05e-4262-8938-926411954968"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["total 24M\n","drwxr-xr-x 1 root root 4.0K May 28 00:26 .\n","drwxr-xr-x 1 root root 4.0K May 28 00:19 ..\n","drwxr-xr-x 4 root root 4.0K May 23 13:38 .config\n","-rw-r--r-- 1 root root 9.8M May 28 00:34 random_aozora_clean.txt\n","-rw-r--r-- 1 root root 9.6M May 28 00:26 random_gutenberg.txt\n","-rw-r--r-- 1 root root 1.6M May 28 00:26 random_wiki_en.txt\n","-rw-r--r-- 1 root root 2.5M May 28 00:25 random_wiki_ja.txt\n","drwxr-xr-x 1 root root 4.0K May 23 13:39 sample_data\n"]}]},{"cell_type":"code","source":["!cat random*.txt > imatrix_sample.txt\n","!shuf imatrix_sample.txt | head -n 400 > imatrix_samples_mini.txt\n","!mkdir -p drive/MyDrive/imatrix_samples/\n","!cp *.txt drive/MyDrive/imatrix_samples/"],"metadata":{"id":"I7TKglWdUCC9","executionInfo":{"status":"ok","timestamp":1748392760826,"user_tz":-540,"elapsed":626,"user":{"displayName":"片山朋和","userId":"15260227877663782354"}}},"execution_count":22,"outputs":[]}]}