{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Transformer" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Import bibliotek" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Wczytanie danych" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "train_data = pd.read_csv(\"train/train.tsv\", sep=\"\\t\", header=None, names=[\"y\", \"x\"])\n", "test_A_data = pd.read_csv(\"test-A/in.tsv\", sep=\"\\t\", header=None, names=[\"x\"])\n", "dev0_data = pd.read_csv(\"dev-0/in.tsv\", sep=\"\\t\", header=None, names=[\"x\"])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.11.2" } }, "nbformat": 4, "nbformat_minor": 2 }