🐦 Twitter Post Details

Viewing enriched Twitter post

@vanstriendaniel

Can LLMs help with real-world GitHub issues? 📢 SWE-bench Dataset from @princeton-nlp is on @huggingface Hub 🎯 Focus: Automated GitHub issue resolution 📚 Content: 2,294 Issue-PR pairs from 12 Python repos 🔎 Evaluation: Unit test verification using post-PR behavior https://t.co/z0eQFmVp3v

View on Twitter

📊 Media Metadata

{
  "media": [
    {
      "url": "https://pbs.twimg.com/media/F8S2uBVaoAAT6EP.jpg",
      "type": "photo"
    }
  ],
  "nlp": {
    "sentiment": "positive",
    "processed_at": "2025-08-06T12:45:55.082072"
  },
  "score": 0.99,
  "scored_at": "2025-08-09T13:46:07.543066",
  "import_source": "manual_curation_2023",
  "score_components": {
    "author": 0.09,
    "engagement": 0.08537850880489682,
    "quality": 0.18,
    "source": 0.15,
    "nlp": 0.1,
    "recency": 0.010000000000000002
  },
  "source_tagged_at": "2025-08-09T13:42:55.984858",
  "enriched": true,
  "enriched_at": "2025-08-09T13:42:55.984860",
  "links_checked": true,
  "checked_at": "2025-08-10T10:32:30.694341",
  "original_structure": "had_media_only",
  "enhanced_from_raw_response": true,
  "enhanced_at": "2025-08-13T17:10:00Z",
  "extracted_from_extended_entities": true,
  "extracted_at": "2025-08-14T04:30:00Z"
}

🔧 Raw API Response

{
  "user": {
    "created_at": "2014-09-23T13:43:54.000Z",
    "default_profile_image": false,
    "description": "Machine Learning Librarian @huggingface 🤗 | Championing Open Science & ML | Tips for using the HF Hub 🤓",
    "fast_followers_count": 0,
    "favourites_count": 3327,
    "followers_count": 1369,
    "friends_count": 1262,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 39,
    "location": "Scotland",
    "media_count": 210,
    "name": "Daniel van Strien",
    "normal_followers_count": 1369,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/2828117077/1655807268",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1274680904217251840/N_svCCtg_normal.jpg",
    "screen_name": "vanstriendaniel",
    "statuses_count": 2088,
    "translator_type": "none",
    "url": "https://t.co/TTRmqOp363",
    "verified": false,
    "withheld_in_countries": [],
    "id_str": "2828117077"
  },
  "id": "1712694665395499140",
  "conversation_id": "1712694665395499140",
  "full_text": "Can LLMs help with real-world GitHub issues?\n\n📢 SWE-bench Dataset from @princeton-nlp is on @huggingface Hub\n🎯 Focus: Automated GitHub issue resolution\n📚 Content: 2,294 Issue-PR pairs from 12 Python repos\n🔎 Evaluation: Unit test verification using post-PR behavior https://t.co/z0eQFmVp3v",
  "reply_count": 1,
  "retweet_count": 7,
  "favorite_count": 36,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [
    {
      "id_str": "5694822",
      "name": "Princeton University",
      "screen_name": "Princeton",
      "profile": "https://twitter.com/Princeton"
    },
    {
      "id_str": "778764142412984320",
      "name": "Hugging Face",
      "screen_name": "huggingface",
      "profile": "https://twitter.com/huggingface"
    }
  ],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/F8S2uBVaoAAT6EP.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/vanstriendaniel/status/1712694665395499140",
  "created_at": "2023-10-13T05:00:03.000Z",
  "#sort_index": "1712694665395499140",
  "view_count": 12757,
  "quote_count": 2,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "startUrl": "https://twitter.com/vanstriendaniel/status/1712694665395499140"
}