Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Shenbin Qian, Diptesh Kanojia, Constantin Orasan
Source Datasets:
original
ArXiv:
Tags:
License:
Commit
•
4246c86
1
Parent(s):
fcadcc2
added gitignore
Browse files- .gitignore +1 -0
- check.ipynb +111 -0
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check.ipynb
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" print(\"lst\")"
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{
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"cell_type": "code",
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"execution_count": null,
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" print(\"lst\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Reusing dataset plod-cw (/home/diptesh/.cache/huggingface/datasets/surrey-nlp___plod-cw/PLOD-CW/0.0.5/ded93459451683583207c3ccb6a22ebeeafd54733e72757b6f73806d9aca6e83)\n"
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{
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"data": {
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"application/json": {
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"ascii": false,
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"bar_format": null,
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"colour": null,
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"elapsed": 0.010100603103637695,
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"initial": 0,
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"n": 0,
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"ncols": null,
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"nrows": null,
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"postfix": null,
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"prefix": "",
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"rate": null,
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"total": 3,
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"unit": "it",
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"unit_divisor": 1000,
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"unit_scale": false
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},
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "1f468deeb0f34c0b8fe8bdd94301ba38",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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" 0%| | 0/3 [00:00<?, ?it/s]"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"from datasets import load_dataset\n",
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"dataset = load_dataset(\"surrey-nlp/PLOD-CW\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1072\n",
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"126\n",
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"153\n"
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]
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}
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],
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"source": [
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"print(len(dataset['train']))\n",
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"print(len(dataset['validation']))\n",
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"print(len(dataset['test']))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"15\n"
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]
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}
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],
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"source": [
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"print(len(dataset['train'][0]['tokens']))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"323\n"
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]
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}
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],
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"source": [
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"split='train'\n",
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"maxLen = 0\n",
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"for i in range(len(dataset[split])):\n",
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" instanceLen = len(dataset['train'][i]['tokens'])\n",
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" if instanceLen > maxLen:\n",
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" maxLen = instanceLen\n",
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"\n",
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"print(maxLen)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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