{
 "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\")"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "distill",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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