823 lines
21 KiB
Plaintext
823 lines
21 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"from huggingface_hub import login\n",
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"from datasets import load_dataset\n",
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"import os\n",
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"import json\n",
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"import shutil"
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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": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "f0476002f8d14822a24f1376cfe29a07",
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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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"VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
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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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"login(os.environ.get(\"HUG_TOKKEN\"))"
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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": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_train = pd.read_csv('../fiszki-ocr/train/in.tsv', sep='\\t', header=None, index_col=False)\n",
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"files = [file[0] for file in df_train.iloc()]\n",
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"df_train_out = pd.read_csv('../fiszki-ocr/train/expected.tsv', sep='\\t', header=None, index_col=False)\n",
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"files_out = [file_out[0] for file_out in df_train_out.iloc()]"
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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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"source": [
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"whole = []\n",
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"for file, out in zip(files, files_out):\n",
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" whole.append({\"file_name\": file, \"ground_truth\": json.dumps({\"gt_parse\": {\"text_sequance\": out}}, ensure_ascii=False)})"
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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": 19,
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"metadata": {},
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"outputs": [],
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"source": [
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"train = whole[:85]\n",
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"validation = whole[85:]"
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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": 20,
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"metadata": {},
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"outputs": [],
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"source": [
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"train_files = [file.get(\"file_name\") for file in train]\n",
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"validation_files = [file.get(\"file_name\") for file in validation]"
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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": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"for image in os.listdir(\"../fiszki-ocr/images\"):\n",
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" if image in train_files:\n",
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" shutil.copy(f\"/home/pc/work/fiszki-ocr/images/{image}\", f\"./images-split-fiszki/train/{image}\")\n",
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" if image in validation_files:\n",
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" shutil.copy(f\"/home/pc/work/fiszki-ocr/images/{image}\", f\"./images-split-fiszki/validation/{image}\")"
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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": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"with open('./images-split-fiszki/train/metadata.jsonl', 'w', encoding='utf-8') as f:\n",
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" for entry in train:\n",
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" json.dump(entry, f, ensure_ascii=False)\n",
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" f.write(\"\\n\")\n",
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"with open('./images-split-fiszki/validation/metadata.jsonl', 'w', encoding='utf-8') as f:\n",
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" for entry in validation:\n",
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" json.dump(entry, f, ensure_ascii=False)\n",
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" f.write(\"\\n\")\n",
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" "
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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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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "ca154573c11a44a8a1fa7dede4c54e26",
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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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"Resolving data files: 0%| | 0/86 [00:00<?, ?it/s]"
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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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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Using custom data configuration images-split-fiszki-0b6e02834f7867a1\n"
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]
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},
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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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"Downloading and preparing dataset imagefolder/images-split-fiszki to /home/pc/.cache/huggingface/datasets/imagefolder/images-split-fiszki-0b6e02834f7867a1/0.0.0/37fbb85cc714a338bea574ac6c7d0b5be5aff46c1862c1989b20e0771199e93f...\n",
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" "
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "2677f9a18a4d40768ebfee41eb5ee208",
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"version_major": 2,
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"version_minor": 0
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"model_id": "b742285b54724ef895dc3f1c76510030",
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"text": [
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"Dataset imagefolder downloaded and prepared to /home/pc/.cache/huggingface/datasets/imagefolder/images-split-fiszki-0b6e02834f7867a1/0.0.0/37fbb85cc714a338bea574ac6c7d0b5be5aff46c1862c1989b20e0771199e93f. Subsequent calls will reuse this data.\n"
|
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||
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}
|
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],
|
||
|
|
"source": [
|
||
|
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"dataset = load_dataset('./images-split-fiszki')"
|
||
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|
]
|
||
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|
},
|
||
|
|
{
|
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||
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"output_type": "stream",
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"text": [
|
||
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"Pushing split train to the Hub.\n"
|
||
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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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"Pushing split validation to the Hub.\n"
|
||
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|
]
|
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},
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{
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|
}
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|
],
|
||
|
|
"source": [
|
||
|
|
"dataset.push_to_hub(\"Zombely/fiszki-ocr-train\")"
|
||
|
|
]
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|
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