added gitignore

.gitignore

@@ -0,0 +1 @@
+*.ipynb

check.ipynb

@@ -49,6 +49,117 @@
     "        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,