forked from kubapok/en-ner-conll-2003
67 lines
1.3 KiB
Plaintext
67 lines
1.3 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Transformer"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import bibliotek"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Wczytanie danych"
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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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"train_data = pd.read_csv(\"train/train.tsv\", sep=\"\\t\", header=None, names=[\"y\", \"x\"])\n",
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"test_A_data = pd.read_csv(\"test-A/in.tsv\", sep=\"\\t\", header=None, names=[\"x\"])\n",
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"dev0_data = pd.read_csv(\"dev-0/in.tsv\", sep=\"\\t\", header=None, names=[\"x\"])"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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