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Delete notebooks/flush-prediction-repos.ipynb
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notebooks/flush-prediction-repos.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "c8093b9e-ca6a-423d-96c3-5fe21f7109a1",
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"metadata": {},
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"source": [
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"## Imports"
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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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"id": "efe8cda7-a687-4867-b1f0-8efbcd428681",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"from pathlib import Path\n",
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"\n",
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"from dotenv import load_dotenv\n",
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"from huggingface_hub import DatasetFilter, delete_repo, list_datasets\n",
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"from tqdm.auto import tqdm\n",
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"\n",
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"if Path(\".env\").is_file():\n",
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" load_dotenv(\".env\")\n",
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"\n",
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"HF_TOKEN = os.getenv(\"HF_TOKEN\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8f6e01f0-b658-451f-999c-e08d9f4bbbd3",
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"metadata": {},
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"source": [
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"## Get all prediction repos from autoevaluate org"
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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": 2,
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"id": "2e369478-66d3-498d-a8fd-95bc9180f362",
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_prediction_repos():\n",
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" all_repos = list_datasets(author=\"autoevaluate\")\n",
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" prediction_repos = [\n",
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" repo for repo in all_repos if repo.id.split(\"/\")[1].startswith(\"autoeval-\")\n",
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" ]\n",
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" return prediction_repos"
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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": 3,
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"id": "542db019-d01f-42f5-bef4-888dae8eeadb",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"66"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prediction_repos = get_prediction_repos()\n",
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"len(prediction_repos)"
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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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"id": "331cfabf-4b73-490f-8d6a-86b5bc162666",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"DatasetInfo: {\n",
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"\tid: autoevaluate/autoeval-staging-eval-project-9dcc51b5-6464670\n",
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"\tsha: d3bb02be592d167f7a217ac9341d187142d9a90a\n",
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"\tlastModified: 2022-06-13T14:54:34.000Z\n",
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"\ttags: ['type:predictions', 'tags:autotrain', 'tags:evaluation', 'datasets:glue']\n",
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"\tprivate: False\n",
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"\tauthor: autoevaluate\n",
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"\tdescription: None\n",
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"\tcitation: None\n",
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"\tcardData: None\n",
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"\tsiblings: None\n",
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"\tgated: False\n",
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"\tdownloads: 12\n",
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"}"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prediction_repos[0]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "57a86b69-ffe8-4035-8f3d-5c917d8ce7bf",
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"metadata": {},
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"source": [
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"## Delete all prediction repos"
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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": 5,
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"id": "6c8e23e7-2a6d-437b-9742-17f37684d9eb",
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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": "06fa304dcc6d44e39205b20a5e488052",
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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%| | 0/66 [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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"for repo in tqdm(prediction_repos):\n",
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" delete_repo(\n",
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" repo_id=repo.id,\n",
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" repo_type=\"dataset\",\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": null,
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"id": "7d64b0aa-d05f-4497-9bd2-eb2fc0d8bd7a",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "autoevaluate",
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"language": "python",
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"name": "autoevaluate"
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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": "3.8.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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