{
  "user": {
    "created_at": "2016-11-04T06:57:37.000Z",
    "default_profile_image": false,
    "description": "ML research & startup with @EnricoShippole",
    "fast_followers_count": 0,
    "favourites_count": 9848,
    "followers_count": 89399,
    "friends_count": 78,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 1193,
    "location": "",
    "media_count": 1831,
    "name": "Aran Komatsuzaki",
    "normal_followers_count": 89399,
    "possibly_sensitive": false,
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1561220982328754176/JOYS5kab_normal.jpg",
    "screen_name": "arankomatsuzaki",
    "statuses_count": 4455,
    "translator_type": "none",
    "url": "https://t.co/aZGCShnLYq",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "794433401591693312"
  },
  "id": "1759784386260504889",
  "conversation_id": "1759784386260504889",
  "full_text": "ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model\n\nCollects and open-sources the largest (4 mil) GPT-4V dataset for VLM training, which consists of fine-grained captions, complex instructions and detailed answers\n\nhttps://t.co/cO4re0WYxx https://t.co/IbappxMBPM",
  "reply_count": 1,
  "retweet_count": 37,
  "favorite_count": 138,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [
    {
      "url": "https://t.co/cO4re0WYxx",
      "expanded_url": "https://arxiv.org/abs/2402.11684",
      "display_url": "arxiv.org/abs/2402.11684"
    }
  ],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/GGwCkRIXkAEG5HN.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/arankomatsuzaki/status/1759784386260504889",
  "created_at": "2024-02-20T03:37:47.000Z",
  "#sort_index": "1759784386260504889",
  "view_count": 10551,
  "quote_count": 2,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "startUrl": "https://twitter.com/arankomatsuzaki/status/1759784386260504889"
}