Delete data file

experiments.ipynb

@@ -1,211 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 🤗 Experiments over hf dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import datasets\n",
-    "from datasets import load_dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Using custom data configuration default\n",
-      "Reusing dataset ctkfacts_nli (/Users/bertik/.cache/huggingface/datasets/ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d)\n",
-      "100%|██████████| 3/3 [00:00<00:00, 409.28it/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "d=load_dataset(\"../ctkfacts_nli.py\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "DatasetDict({\n",
-       "    train: Dataset({\n",
-       "        features: ['id', 'label', 'evidence', 'claim'],\n",
-       "        num_rows: 2903\n",
-       "    })\n",
-       "    validation: Dataset({\n",
-       "        features: ['id', 'label', 'evidence', 'claim'],\n",
-       "        num_rows: 377\n",
-       "    })\n",
-       "    test: Dataset({\n",
-       "        features: ['id', 'label', 'evidence', 'claim'],\n",
-       "        num_rows: 431\n",
-       "    })\n",
-       "})"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "d"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "        _|    _|  _|    _|    _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|_|_|_|    _|_|      _|_|_|  _|_|_|_|\n",
-      "        _|    _|  _|    _|  _|        _|          _|    _|_|    _|  _|            _|        _|    _|  _|        _|\n",
-      "        _|_|_|_|  _|    _|  _|  _|_|  _|  _|_|    _|    _|  _|  _|  _|  _|_|      _|_|_|    _|_|_|_|  _|        _|_|_|\n",
-      "        _|    _|  _|    _|  _|    _|  _|    _|    _|    _|    _|_|  _|    _|      _|        _|    _|  _|        _|\n",
-      "        _|    _|    _|_|      _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|        _|    _|    _|_|_|  _|_|_|_|\n",
-      "\n",
-      "        \n",
-      "Username: ^C\n",
-      "Traceback (most recent call last):\n",
-      "  File \"/opt/homebrew/bin/huggingface-cli\", line 8, in <module>\n",
-      "    sys.exit(main())\n",
-      "  File \"/opt/homebrew/lib/python3.9/site-packages/huggingface_hub/commands/huggingface_cli.py\", line 41, in main\n",
-      "    service.run()\n",
-      "  File \"/opt/homebrew/lib/python3.9/site-packages/huggingface_hub/commands/user.py\", line 169, in run\n",
-      "    username = input(\"Username: \")\n",
-      "KeyboardInterrupt\n"
-     ]
-    }
-   ],
-   "source": [
-    "!huggingface-cli login"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Downloading: 100%|██████████| 2.55k/2.55k [00:00<00:00, 1.33MB/s]\n",
-      "Using custom data configuration default\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Downloading and preparing dataset ctkfacts_nli/default to /Users/bertik/.cache/huggingface/datasets/heruberuto___ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d...\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Downloading: 100%|██████████| 2.14M/2.14M [00:00<00:00, 2.86MB/s]\n",
-      "Downloading: 100%|██████████| 247k/247k [00:00<00:00, 386kB/s]\n",
-      "Downloading: 100%|██████████| 287k/287k [00:00<00:00, 450kB/s]\n",
-      "100%|██████████| 3/3 [00:04<00:00,  1.66s/it]\n",
-      "100%|██████████| 3/3 [00:00<00:00, 976.56it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Dataset ctkfacts_nli downloaded and prepared to /Users/bertik/.cache/huggingface/datasets/heruberuto___ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d. Subsequent calls will reuse this data.\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 3/3 [00:00<00:00, 811.96it/s]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "DatasetDict({\n",
-       "    train: Dataset({\n",
-       "        features: ['id', 'label', 'evidence', 'claim'],\n",
-       "        num_rows: 2903\n",
-       "    })\n",
-       "    validation: Dataset({\n",
-       "        features: ['id', 'label', 'evidence', 'claim'],\n",
-       "        num_rows: 377\n",
-       "    })\n",
-       "    test: Dataset({\n",
-       "        features: ['id', 'label', 'evidence', 'claim'],\n",
-       "        num_rows: 431\n",
-       "    })\n",
-       "})"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "load_dataset(\"heruberuto/ctkfacts_nli\", use_auth_token=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.7 64-bit",
-   "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": "3.9.7"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}