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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "e89d234c",
"metadata": {},
"outputs": [],
"source": [
"with open(\"/mnt/ceph_rbd/comp_rag/data/retrieval_data/2m_split_data_sample_from_4m/train_all_mix.jsonl\", \"r\") as f:\n",
" data = []\n",
" import json \n",
" index = 0 \n",
" for line in f:\n",
" index += 1\n",
" if index > 1000:\n",
" break\n",
" data.append(json.loads(line))\n",
"\n",
"with open(\"/mnt/ceph_rbd/comp_rag/unirag/debug_data/pretrain_data.jsonl\", \"w\") as f:\n",
" for d in data:\n",
" f.write(json.dumps(d) + \"\\n\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1e995b27",
"metadata": {},
"outputs": [],
"source": [
"with open(\"/mnt/ceph_rbd/comp_rag/data/pisco_data/train_top_5_rerank_splade_predicted_answer.jsonl\", \"r\") as f:\n",
" data = []\n",
" index = 0 \n",
" for line in f:\n",
" index += 1\n",
" if index > 1000:\n",
" break\n",
" data.append(json.loads(line))\n",
"\n",
"with open(\"/mnt/ceph_rbd/comp_rag/unirag/debug_data/instruction_tuning_data.jsonl\", \"w\") as f:\n",
" for d in data:\n",
" f.write(json.dumps(d) + \"\\n\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b0f72276",
"metadata": {},
"outputs": [],
"source": [
"with open(\"/mnt/ceph_rbd/comp_rag/data/stage2_training/ours_musique/train_processed_with_pos.jsonl\", \"r\") as f:\n",
" data = []\n",
" index = 0\n",
" for line in f:\n",
" index += 1\n",
" if index > 1000:\n",
" break\n",
" data.append(json.loads(line))\n",
"\n",
"with open(\"/mnt/ceph_rbd/comp_rag/unirag/debug_data/instruction_tuning_training_data.jsonl\", \"w\") as f:\n",
" for d in data:\n",
" f.write(json.dumps(d) + \"\\n\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "distill",
"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": "3.8.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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