modify reader

PLOD-CW.py

@@ -2,7 +2,6 @@ import os
 
 import datasets
 from typing import List
-import json
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -124,7 +123,7 @@ class PLODfilteredConfig(datasets.GeneratorBasedBuilder):
                     splits = line.split(" ")
                     tokens.append(splits[0])
                     pos_tags.append(splits[1])
-                    ner_tags.append(splits[3].rstrip())
+                    ner_tags.append(splits[2].rstrip())
             # last example
             if tokens:
                 yield guid, {

check.ipynb

@@ -0,0 +1,74 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "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 [3]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     15\u001b[0m         tokens\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m     16\u001b[0m         pos_tags\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m---> 17\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     18\u001b[0m \u001b[38;5;66;03m# last example\u001b[39;00m\n\u001b[1;32m     19\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[3].rstrip())\n",
+    "\n",
+    "    # last example\n",
+    "    if tokens:\n",
+    "        print(\"lst\")"
+   ]
+  },
+  {
+   "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
+}