added gitignore

check.ipynb

@@ -1,192 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n"
-     ]
-    },
-    {
-     "ename": "IndexError",
-     "evalue": "list index out of range",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [4]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     16\u001b[0m         tokens\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m     17\u001b[0m         pos_tags\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m---> 18\u001b[0m         ner_tags\u001b[38;5;241m.\u001b[39mappend(\u001b[43msplits\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mrstrip())\n\u001b[1;32m     20\u001b[0m \u001b[38;5;66;03m# last example\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m tokens:\n",
-      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
-     ]
-    }
-   ],
-   "source": [
-    "with open(\"data/train.conll\", encoding=\"utf-8\") as f:\n",
-    "    guid = 0\n",
-    "    tokens = []\n",
-    "    pos_tags = []\n",
-    "    ner_tags = []\n",
-    "    for line in f:\n",
-    "        if line.startswith(\"-DOCSTART-\") or line == \"\" or line == \"\\n\":\n",
-    "            if tokens:\n",
-    "                guid += 1\n",
-    "                tokens = []\n",
-    "                pos_tags = []\n",
-    "                ner_tags = []\n",
-    "        else:\n",
-    "            print(guid)\n",
-    "            splits = line.split(\" \")\n",
-    "            tokens.append(splits[0])\n",
-    "            pos_tags.append(splits[1])\n",
-    "            ner_tags.append(splits[2].rstrip())\n",
-    "\n",
-    "    # last example\n",
-    "    if tokens:\n",
-    "        print(\"lst\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Reusing dataset plod-cw (/home/diptesh/.cache/huggingface/datasets/surrey-nlp___plod-cw/PLOD-CW/0.0.5/ded93459451683583207c3ccb6a22ebeeafd54733e72757b6f73806d9aca6e83)\n"
-     ]
-    },
-    {
-     "data": {
-      "application/json": {
-       "ascii": false,
-       "bar_format": null,
-       "colour": null,
-       "elapsed": 0.010100603103637695,
-       "initial": 0,
-       "n": 0,
-       "ncols": null,
-       "nrows": null,
-       "postfix": null,
-       "prefix": "",
-       "rate": null,
-       "total": 3,
-       "unit": "it",
-       "unit_divisor": 1000,
-       "unit_scale": false
-      },
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1f468deeb0f34c0b8fe8bdd94301ba38",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from datasets import load_dataset\n",
-    "dataset = load_dataset(\"surrey-nlp/PLOD-CW\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1072\n",
-      "126\n",
-      "153\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(len(dataset['train']))\n",
-    "print(len(dataset['validation']))\n",
-    "print(len(dataset['test']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "15\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(len(dataset['train'][0]['tokens']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "323\n"
-     ]
-    }
-   ],
-   "source": [
-    "split='train'\n",
-    "maxLen = 0\n",
-    "for i in range(len(dataset[split])):\n",
-    "    instanceLen = len(dataset['train'][i]['tokens'])\n",
-    "    if instanceLen > maxLen:\n",
-    "        maxLen = instanceLen\n",
-    "\n",
-    "print(maxLen)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "hfdataset",
-   "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": "3.9.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}