{"family": "structured-field-extraction", "id": "liveweb-ie-5414a8386a6ccfd2aa55", "input": "https://arxiv.org/abs/2401.14576", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-5414a8386a6ccfd2aa55\", \"input\": \"dataset/html/liveweb-ie-5414a8386a6ccfd2aa55.html\", \"input_sha256\": \"29565ff66a11f125b139ee5689ca17b2aaada480827d8367df15a4b4d45a5e2a\", \"original_reference\": {\"author\": [\"Steven W. D. Chien\", \"Kento Sato\", \"Artur Podobas\", \"Niclas Jansson\", \"Stefano Markidis\", \"Michio Honda\"], \"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Chien,+S+W+D\", \"https://arxiv.org/search/cs?searchtype=author&query=Sato,+K\", \"https://arxiv.org/search/cs?searchtype=author&query=Podobas,+A\", \"https://arxiv.org/search/cs?searchtype=author&query=Jansson,+N\", \"https://arxiv.org/search/cs?searchtype=author&query=Markidis,+S\", \"https://arxiv.org/search/cs?searchtype=author&query=Honda,+M\"]}, \"qualification\": {\"input_sha256\": \"29565ff66a11f125b139ee5689ca17b2aaada480827d8367df15a4b4d45a5e2a\", \"observed_at\": \"2026-11-06T10:07:05Z\", \"reference_sha256\": \"34ccb3b4cfb9eb98eb8a324d2d8114c18ae36a7d1db950bf8937b5ca6b12e251\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.14576\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please provide each author's name and the link to their detailed profile\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Please provide each author's name and the link to their detailed profile; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"author_profile_link\": {\"description\": \"Please provide each author's name and the link to their detailed profile; target attribute: author_profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\", \"author_profile_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"author\": {\"Artur Podobas\": 1, \"Kento Sato\": 1, \"Michio Honda\": 1, \"Niclas Jansson\": 1, \"Stefano Markidis\": 1, \"Steven W. D. Chien\": 1}, \"author_profile_link\": {\"https://arxiv.org/search/cs?searchtype=author&query=Chien,+S+W+D\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Honda,+M\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Jansson,+N\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Markidis,+S\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Podobas,+A\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Sato,+K\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.14576\", \"value_kinds\": {\"author_profile_link\": \"url\"}, \"values\": {\"author\": [\"Steven W. D. Chien\", \"Kento Sato\", \"Artur Podobas\", \"Niclas Jansson\", \"Stefano Markidis\", \"Michio Honda\"], \"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Chien,+S+W+D\", \"https://arxiv.org/search/cs?searchtype=author&query=Sato,+K\", \"https://arxiv.org/search/cs?searchtype=author&query=Podobas,+A\", \"https://arxiv.org/search/cs?searchtype=author&query=Jansson,+N\", \"https://arxiv.org/search/cs?searchtype=author&query=Markidis,+S\", \"https://arxiv.org/search/cs?searchtype=author&query=Honda,+M\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-c0e0f78c9078a5c9df63", "input": "https://books.toscrape.com/catalogue/the-star-touched-queen_642/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-c0e0f78c9078a5c9df63\", \"input\": \"dataset/html/liveweb-ie-c0e0f78c9078a5c9df63.html\", \"input_sha256\": \"960b6c191478f357f799861f6bb3a65957acef79f7eb084f27965373ae58122a\", \"original_reference\": {\"price\": [\"£32.30\"], \"stock_status\": [\"In stock (12 available)\"]}, \"qualification\": {\"input_sha256\": \"960b6c191478f357f799861f6bb3a65957acef79f7eb084f27965373ae58122a\", \"observed_at\": \"2026-11-06T10:08:13Z\", \"reference_sha256\": \"8e5ec98192814dbfe185f9117aac7fee85a3c326079f86dd6e3afc3342a6d2e5\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/the-star-touched-queen_642/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the book price and stock status.\", \"schema\": {\"properties\": {\"price\": {\"description\": \"Fetch the book price and stock status.; target attribute: price\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"stock_status\": {\"description\": \"Fetch the book price and stock status.; target attribute: stock_status\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"price\", \"stock_status\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"price\": {\"£32.30\": 1}, \"stock_status\": {\"In stock (12 available)\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/the-star-touched-queen_642/index.html\", \"value_kinds\": {}, \"values\": {\"price\": [\"£32.30\"], \"stock_status\": [\"In stock (12 available)\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-37c753c3b97971915c93", "input": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47314", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-37c753c3b97971915c93\", \"input\": \"dataset/html/liveweb-ie-37c753c3b97971915c93.html\", \"input_sha256\": \"6f1a9dff0e022391e35aaeb405e402597182f03cafd771f39a1bcadb60911883\", \"original_reference\": {\"tank_size\": [\"17.6 gallons\"], \"vehicle\": [\"2024 Porsche 911 Targa 4 GTS\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Targa.jpg\"]}, \"qualification\": {\"input_sha256\": \"6f1a9dff0e022391e35aaeb405e402597182f03cafd771f39a1bcadb60911883\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"fca46429213c0af7263587c572e98ae7f95ec254d6ed2598e1d170d49abe103f\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47314\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the vehicle's full name along with its photo and tank size\", \"schema\": {\"properties\": {\"tank_size\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: tank_size\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: vehicle\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_image\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle\", \"vehicle_image\", \"tank_size\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"tank_size\": {\"17.6 gallons\": 1}, \"vehicle\": {\"2024 Porsche 911 Targa 4 GTS\": 1}, \"vehicle_image\": {\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Targa.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47314\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"tank_size\": [\"17.6 gallons\"], \"vehicle\": [\"2024 Porsche 911 Targa 4 GTS\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Targa.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-f5397d291968f0ddecd7", "input": "https://huggingface.co/papers/2408.10198", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-f5397d291968f0ddecd7\", \"input\": \"dataset/html/liveweb-ie-f5397d291968f0ddecd7.html\", \"input_sha256\": \"5796042518838e19779b3f421ba042dad8fcbc9baa4ff4462e5e9eb2c1d484ee\", \"original_reference\": {\"author\": [\"Minghua Liu\", \"Chong Zeng\", \"Xinyue Wei\", \"Ruoxi Shi\", \"Linghao Chen\", \"Chao Xu\", \"Mengqi Zhang\", \"Zhaoning Wang\", \"Xiaoshuai Zhang\", \"Isabella Liu\", \"Hongzhi Wu\", \"Hao Su\"]}, \"qualification\": {\"input_sha256\": \"5796042518838e19779b3f421ba042dad8fcbc9baa4ff4462e5e9eb2c1d484ee\", \"observed_at\": \"2026-11-06T10:07:36Z\", \"reference_sha256\": \"cc0e7cb4b518cc6e7efe8b8d4d9246cc1bc85e6410b30142cb2e762d7778ee75\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/2408.10198\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Can you fetch all the names of the authors?\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Can you fetch all the names of the authors?; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"author\": {\"Chao Xu\": 1, \"Chong Zeng\": 1, \"Hao Su\": 1, \"Hongzhi Wu\": 1, \"Isabella Liu\": 1, \"Linghao Chen\": 1, \"Mengqi Zhang\": 1, \"Minghua Liu\": 1, \"Ruoxi Shi\": 1, \"Xiaoshuai Zhang\": 1, \"Xinyue Wei\": 1, \"Zhaoning Wang\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/2408.10198\", \"value_kinds\": {}, \"values\": {\"author\": [\"Minghua Liu\", \"Chong Zeng\", \"Xinyue Wei\", \"Ruoxi Shi\", \"Linghao Chen\", \"Chao Xu\", \"Mengqi Zhang\", \"Zhaoning Wang\", \"Xiaoshuai Zhang\", \"Isabella Liu\", \"Hongzhi Wu\", \"Hao Su\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-5d20334c3776448c4fd7", "input": "https://iclr.cc/virtual/2025/poster/29556", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-5d20334c3776448c4fd7\", \"input\": \"dataset/html/liveweb-ie-5d20334c3776448c4fd7.html\", \"input_sha256\": \"69ea4452d884202afca5246441dced2f67067ce34add555473857b8ae0d50c83\", \"original_reference\": {\"title\": [\"Efficient Model Editing with Task-Localized Sparse Fine-tuning\"]}, \"qualification\": {\"input_sha256\": \"69ea4452d884202afca5246441dced2f67067ce34add555473857b8ae0d50c83\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"4bdb68128d067561c774ded5a22ed001230028a9327d32583bdcb2cd1197a1ed\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/poster/29556\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title of the paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"Efficient Model Editing with Task-Localized Sparse Fine-tuning\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/poster/29556\", \"value_kinds\": {}, \"values\": {\"title\": [\"Efficient Model Editing with Task-Localized Sparse Fine-tuning\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2a1f28ff3cb3808cd569", "input": "https://icml.cc/virtual/2025/poster/43537", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-2a1f28ff3cb3808cd569\", \"input\": \"dataset/html/liveweb-ie-2a1f28ff3cb3808cd569.html\", \"input_sha256\": \"328de9ddd2d4099bce44fbb4fed539d6bed3a9ca4bc1b11bc84b6c9cf4db49a1\", \"original_reference\": {\"title\": [\"Robust Autonomy Emerges from Self-Play\"]}, \"qualification\": {\"input_sha256\": \"328de9ddd2d4099bce44fbb4fed539d6bed3a9ca4bc1b11bc84b6c9cf4db49a1\", \"observed_at\": \"2026-11-06T10:07:22Z\", \"reference_sha256\": \"097db01882ba7b96c49140cfc5f529d2fed41663dee03a1819646f6aa4c8fe24\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/poster/43537\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title for this paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title for this paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"Robust Autonomy Emerges from Self-Play\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/poster/43537\", \"value_kinds\": {}, \"values\": {\"title\": [\"Robust Autonomy Emerges from Self-Play\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-7953cdb47e01fdb66270", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=48564", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-7953cdb47e01fdb66270\", \"input\": \"dataset/html/liveweb-ie-7953cdb47e01fdb66270.html\", \"input_sha256\": \"8d1d5dd9ed1ec59d150f007a10eb7272317fb51c21e5a0b7db502db8aa290a5a\", \"original_reference\": {\"author\": [\"Pillon, Roberto\"], \"species\": [\"Echiura (spoon worms)\"]}, \"qualification\": {\"input_sha256\": \"8d1d5dd9ed1ec59d150f007a10eb7272317fb51c21e5a0b7db502db8aa290a5a\", \"observed_at\": \"2026-11-06T10:07:29Z\", \"reference_sha256\": \"4a9e6eee4aab6e6a851cdf459914d1cfd41506abaa8f5ecaa79b853f93826796\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=48564\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the author name and species name from the entry.\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Extract the author name and species name from the entry.; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species\": {\"description\": \"Extract the author name and species name from the entry.; target attribute: species\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\", \"species\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"author\": {\"Pillon, Roberto\": 1}, \"species\": {\"Echiura (spoon worms)\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=48564\", \"value_kinds\": {}, \"values\": {\"author\": [\"Pillon, Roberto\"], \"species\": [\"Echiura (spoon worms)\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-192a1e01750a1c1c68cf", "input": "https://neurips.cc/virtual/2024/poster/94715", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-192a1e01750a1c1c68cf\", \"input\": \"dataset/html/liveweb-ie-192a1e01750a1c1c68cf.html\", \"input_sha256\": \"cc7e9c4b9e0fa45263b5074fafb290c3964a930deba0a3a48e6c63ea73d10585\", \"original_reference\": {\"title\": [\"AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases\"]}, \"qualification\": {\"input_sha256\": \"cc7e9c4b9e0fa45263b5074fafb290c3964a930deba0a3a48e6c63ea73d10585\", \"observed_at\": \"2026-11-06T10:07:15Z\", \"reference_sha256\": \"f02a98201f681a4629a61dce78c8988bf20f1aefc7231cb9f566616f3704981a\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/poster/94715\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the paper's title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the paper's title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/poster/94715\", \"value_kinds\": {}, \"values\": {\"title\": [\"AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d4ab33cd4fcb68df1a73", "input": "http://quotes.toscrape.com/author/Terry-Pratchett", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-d4ab33cd4fcb68df1a73\", \"input\": \"dataset/html/liveweb-ie-d4ab33cd4fcb68df1a73.html\", \"input_sha256\": \"9320d30a44f4b90c57e9eda42ec3761d8efb2833cf1a57e35004a765cceeb2e3\", \"original_reference\": {\"birth\": [\"April 28, 1948\"]}, \"qualification\": {\"input_sha256\": \"9320d30a44f4b90c57e9eda42ec3761d8efb2833cf1a57e35004a765cceeb2e3\", \"observed_at\": \"2026-11-06T10:08:09Z\", \"reference_sha256\": \"59a4d9ef08849b36bce700bdb17993bae04f38bca8d1806ed5128781563fcedc\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/author/Terry-Pratchett\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Collect the author's born details\", \"schema\": {\"properties\": {\"birth\": {\"description\": \"Collect the author's born details; target attribute: birth\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"birth\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"birth\": {\"April 28, 1948\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/author/Terry-Pratchett\", \"value_kinds\": {}, \"values\": {\"birth\": [\"April 28, 1948\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-42fd5a5c4e0bc13ae558", "input": "https://sandbox.oxylabs.io/products/272", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-42fd5a5c4e0bc13ae558\", \"input\": \"dataset/html/liveweb-ie-42fd5a5c4e0bc13ae558.html\", \"input_sha256\": \"2badee4aace2ed12d0bd021032fc1cef918fdbf17c844d12d0b8e081d795559f\", \"original_reference\": {\"platform\": [\"pc\"], \"title\": [\"IL-2 Sturmovik: Forgotten Battles\"]}, \"qualification\": {\"input_sha256\": \"2badee4aace2ed12d0bd021032fc1cef918fdbf17c844d12d0b8e081d795559f\", \"observed_at\": \"2026-11-06T10:08:04Z\", \"reference_sha256\": \"c6f5e8d5fd91ed1d3007e8cb9fdb8187f6af8f8a949af14ded4e455ff5758904\", \"source_supported_corrections\": [{\"accepted\": \"Pc\", \"field\": \"platform\", \"original\": \"pc\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"2badee4aace2ed12d0bd021032fc1cef918fdbf17c844d12d0b8e081d795559f\"}], \"source_url\": \"https://sandbox.oxylabs.io/products/272\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the game platform and each title of the video game from the same page.\", \"schema\": {\"properties\": {\"platform\": {\"description\": \"Extract the game platform and each title of the video game from the same page.; target attribute: platform\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Extract the game platform and each title of the video game from the same page.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"platform\", \"title\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"platform\": {\"Pc\": 1}, \"title\": {\"IL-2 Sturmovik: Forgotten Battles\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/272\", \"value_kinds\": {}, \"values\": {\"platform\": [\"Pc\"], \"title\": [\"IL-2 Sturmovik: Forgotten Battles\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-0206a4d5ba751046f8c1", "input": "https://www.scrapethissite.com/pages/simple/", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-0206a4d5ba751046f8c1\", \"input\": \"dataset/html/liveweb-ie-0206a4d5ba751046f8c1.html\", \"input_sha256\": \"3482c4dbe722e85a54da24c016b49cc2a19a550382097bfc96cb60a89a02e80e\", \"original_reference\": {\"area\": [\"468.0\", \"82880.0\", \"647500.0\", \"443.0\", \"102.0\", \"28748.0\", \"29800.0\", \"1246700.0\", \"1.4E7\", \"2766890.0\", \"199.0\", \"83858.0\", \"7686850.0\", \"193.0\", \"1580.0\", \"86600.0\", \"51129.0\", \"431.0\", \"144000.0\", \"30510.0\", \"274200.0\", \"110910.0\", \"665.0\", \"27830.0\", \"112620.0\", \"21.0\", \"53.0\", \"5770.0\", \"1098580.0\", \"328.0\", \"8511965.0\", \"13940.0\", \"47000.0\", \"49.0\", \"600370.0\", \"207600.0\", \"22966.0\", \"9984670.0\", \"14.0\", \"2345410.0\", 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{"family": "structured-field-extraction", "id": "liveweb-ie-c994fba51c680d03dba2", "input": "https://www.thecocktaildb.com/drink/17248-french-negroni", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-c994fba51c680d03dba2\", \"input\": \"dataset/html/liveweb-ie-c994fba51c680d03dba2.html\", \"input_sha256\": \"27450a304f605eb90deb2ffe5be2573566b7fefe75c4fe76e04994897708f278\", \"original_reference\": {\"ingredient\": [\"1 oz Gin\", \"1 oz Lillet\", \"1 oz Sweet Vermouth\", \"1 Orange Peel\"], \"ingredient_image\": [\"../images/ingredients/gin-medium.png\", \"../images/ingredients/lillet-medium.png\", \"../images/ingredients/sweet vermouth-medium.png\", \"../images/ingredients/orange peel-medium.png\"]}, \"qualification\": {\"input_sha256\": \"27450a304f605eb90deb2ffe5be2573566b7fefe75c4fe76e04994897708f278\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"d8e84be95784f69c96e4548adebbfc8fa04f9a3982b44a2328ab09fe23922c6f\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/drink/17248-french-negroni\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every ingredient name of the drink together with its image\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Retrieve every ingredient name of the drink together with its image; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_image\": {\"description\": \"Retrieve every ingredient name of the drink together with its image; target attribute: ingredient_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient\", \"ingredient_image\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"ingredient\": {\"1 Orange Peel\": 1, \"1 oz Gin\": 1, \"1 oz Lillet\": 1, \"1 oz Sweet Vermouth\": 1}, \"ingredient_image\": {\"../images/ingredients/gin-medium.png\": 1, \"../images/ingredients/lillet-medium.png\": 1, \"../images/ingredients/orange peel-medium.png\": 1, \"../images/ingredients/sweet vermouth-medium.png\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/drink/17248-french-negroni\", \"value_kinds\": {\"ingredient_image\": \"url\"}, \"values\": {\"ingredient\": [\"1 oz Gin\", \"1 oz Lillet\", \"1 oz Sweet Vermouth\", \"1 Orange Peel\"], \"ingredient_image\": [\"../images/ingredients/gin-medium.png\", \"../images/ingredients/lillet-medium.png\", \"../images/ingredients/sweet vermouth-medium.png\", \"../images/ingredients/orange peel-medium.png\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-41641dc8441657e6eb32", "input": "https://www.themealdb.com/meal/52976-cashew-ghoriba-biscuits-recipe", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-41641dc8441657e6eb32\", \"input\": \"dataset/html/liveweb-ie-41641dc8441657e6eb32.html\", \"input_sha256\": \"7faa61857e80af5fa8c21a7664910f26720d45e9f0eae9130d05c0711abbcee1\", \"original_reference\": {\"meal\": [\"Cashew Ghoriba Biscuits\"]}, \"qualification\": {\"input_sha256\": \"7faa61857e80af5fa8c21a7664910f26720d45e9f0eae9130d05c0711abbcee1\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"7933dfa9bdb72b0efb42a3b75063da4bf714963a3f7c21fb65312fd5a83fd785\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/meal/52976-cashew-ghoriba-biscuits-recipe\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Give me the name of the food\", \"schema\": {\"properties\": {\"meal\": {\"description\": \"Give me the name of the food; target attribute: meal\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"meal\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"meal\": {\"Cashew Ghoriba Biscuits\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/meal/52976-cashew-ghoriba-biscuits-recipe\", \"value_kinds\": {}, \"values\": {\"meal\": [\"Cashew Ghoriba Biscuits\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-158a30f60f6e9437a76f", "input": "https://www.thesportsdb.com/season/4370-formula-1/2020", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-158a30f60f6e9437a76f\", \"input\": \"dataset/html/liveweb-ie-158a30f60f6e9437a76f.html\", \"input_sha256\": \"f64da390db30bf2e87a1fb50a9e3a62ce5b12ff29b89b55660ac5b707aeaa7c7\", \"original_reference\": {\"season_badge\": [\"https://r2.thesportsdb.com/images/media/league/badgearchive/n7wg8e1662928362.png\"], \"season_poster\": [\"https://r2.thesportsdb.com/images/media/league/posterarchive/8z3u9a1719781196.jpg\"]}, \"qualification\": {\"input_sha256\": \"f64da390db30bf2e87a1fb50a9e3a62ce5b12ff29b89b55660ac5b707aeaa7c7\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"fa8677cf64cc972a1cc423338128cc2f9b5385728ad992096e137c52f23a86cb\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/season/4370-formula-1/2020\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the badge and the poster of the seasonm\", \"schema\": {\"properties\": {\"season_badge\": {\"description\": \"Extract the badge and the poster of the seasonm; target attribute: season_badge\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"season_poster\": {\"description\": \"Extract the badge and the poster of the seasonm; target attribute: season_poster\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"season_badge\", \"season_poster\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"season_badge\": {\"https://r2.thesportsdb.com/images/media/league/badgearchive/n7wg8e1662928362.png\": 1}, \"season_poster\": {\"https://r2.thesportsdb.com/images/media/league/posterarchive/8z3u9a1719781196.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/season/4370-formula-1/2020\", \"value_kinds\": {\"season_badge\": \"url\", \"season_poster\": \"url\"}, \"values\": {\"season_badge\": [\"https://r2.thesportsdb.com/images/media/league/badgearchive/n7wg8e1662928362.png\"], \"season_poster\": [\"https://r2.thesportsdb.com/images/media/league/posterarchive/8z3u9a1719781196.jpg\"]}}"}
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\"/pdf/2401.15279\", \"/pdf/2401.15318\", \"/pdf/2401.15523\", \"/pdf/2401.15628\", \"/pdf/2401.15664\", \"/pdf/2401.16496\", \"/pdf/2401.16534\", \"/pdf/2401.16536\", \"/pdf/2401.00825\", \"/pdf/2401.00847\", \"/pdf/2401.01339\", \"/pdf/2401.01391\", \"/pdf/2401.01647\", \"/pdf/2401.02411\", \"/pdf/2401.02435\", \"/pdf/2401.02436\", \"/pdf/2401.02620\", \"/pdf/2401.02804\", \"/pdf/2401.02847\", \"/pdf/2401.03257\", \"/pdf/2401.03431\", \"/pdf/2401.03499\", \"/pdf/2401.03764\", \"/pdf/2401.03890\", \"/pdf/2401.04153\"], \"title\": [\"Free-form Shape Modeling in XR: A Systematic Review\", \"Image Sculpting: Precise Object Editing with 3D Geometry Control\", \"Immersive Serious Games for Learning Physics Concepts: The Case of Density\", \"Teaching with a companion: the case of gravity\", \"Compositing with 2D Vector Fields by using Shape Maps that can represent Inconsistent, Impossible, and Incoherent Shapes\", \"Particle-Wise Higher-Order SPH Field Approximation for DVR\", \"AKN_Regie: 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Optimization\", \"A real-time rendering method for high albedo anisotropic materials with multiple scattering\", \"A High-Performance SurfaceNets Discrete Isocontouring Algorithm\", \"Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models\", \"GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation\", \"FabHacks: Transform Everyday Objects into Functional Fixtures\", \"Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering\", \"Performance-Based Biped Control using a Consumer Depth Camera\", \"A Micro-Ellipsoid Model for Wet Porous Materials Rendering\", \"Learning Human-like Locomotion Based on Biological Actuation and Rewards\", \"Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation\", \"Democratizing the Creation of Animatable Facial Avatars\", \"Saccade-Contingent Rendering\", \"Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior\", 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{\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"pdf_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"pdf_link\": {\"/pdf/2401.00825\": 1, \"/pdf/2401.00847\": 1, \"/pdf/2401.00924\": 1, \"/pdf/2401.01339\": 1, \"/pdf/2401.01391\": 1, \"/pdf/2401.01647\": 1, \"/pdf/2401.01702\": 1, \"/pdf/2401.01831\": 1, \"/pdf/2401.01832\": 1, \"/pdf/2401.02200\": 1, \"/pdf/2401.02411\": 1, \"/pdf/2401.02435\": 1, \"/pdf/2401.02436\": 1, \"/pdf/2401.02620\": 1, \"/pdf/2401.02804\": 1, \"/pdf/2401.02847\": 1, \"/pdf/2401.02896\": 1, \"/pdf/2401.03257\": 1, \"/pdf/2401.03431\": 1, \"/pdf/2401.03499\": 1, \"/pdf/2401.03761\": 1, \"/pdf/2401.03764\": 1, \"/pdf/2401.03890\": 1, \"/pdf/2401.04153\": 1, \"/pdf/2401.05533\": 1, \"/pdf/2401.06437\": 1, \"/pdf/2401.06576\": 1, \"/pdf/2401.07283\": 1, \"/pdf/2401.08398\": 1, \"/pdf/2401.09384\": 1, \"/pdf/2401.11614\": 1, \"/pdf/2401.11795\": 1, \"/pdf/2401.12724\": 1, \"/pdf/2401.12853\": 1, 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Algorithm Based Plugin for Measured Subsurface Scattering Representation\": 1, \"Generating Non-Stationary Textures using Self-Rectification\": 1, \"High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering\": 1, \"Hyper-Realist Rendering: A Theoretical Framework\": 1, \"Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization\": 1, \"Image Sculpting: Precise Object Editing with 3D Geometry Control\": 1, \"Immersive Serious Games for Learning Physics Concepts: The Case of Density\": 1, \"Learning Human-like Locomotion Based on Biological Actuation and Rewards\": 1, \"Lightweight Self-Driven Deformable Organ Animations\": 1, \"Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera\": 1, \"On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding\": 1, \"PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting\": 1, \"Particle-Wise Higher-Order SPH Field Approximation for DVR\": 1, \"PatternPortrait: Draw Me Like One of Your Scribbles\": 1, \"Performance-Based Biped Control using a Consumer Depth Camera\": 1, \"Progress and Prospects in 3D Generative AI: A Technical Overview including 3D human\": 1, \"Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production\": 1, \"Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation\": 1, \"RustNeRF: Robust Neural Radiance Field with Low-Quality Images\": 1, \"SIGNeRF: Scene Integrated Generation for Neural Radiance Fields\": 1, \"Saccade-Contingent Rendering\": 1, \"Scalar Representation of 2D Steady Vector Fields\": 1, \"See360: Novel Panoramic View Interpolation\": 1, \"Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior\": 1, \"Spherical Density-Equalizing Map for Genus-0 Closed Surfaces\": 1, \"Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting\": 1, \"Teaching with a companion: the case of gravity\": 1, \"What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs\": 1, \"Winding Clearness for Differentiable Point Cloud Optimization\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/list/cs.GR/2024-01\", \"value_kinds\": {\"pdf_link\": \"url\"}, \"values\": {\"pdf_link\": [\"/pdf/2401.00924\", \"/pdf/2401.01702\", \"/pdf/2401.01831\", \"/pdf/2401.01832\", \"/pdf/2401.02200\", \"/pdf/2401.02896\", \"/pdf/2401.03761\", \"/pdf/2401.05533\", \"/pdf/2401.06437\", \"/pdf/2401.06576\", \"/pdf/2401.07283\", \"/pdf/2401.08398\", \"/pdf/2401.09384\", \"/pdf/2401.11614\", \"/pdf/2401.11795\", \"/pdf/2401.12724\", \"/pdf/2401.12853\", \"/pdf/2401.12900\", \"/pdf/2401.13001\", \"/pdf/2401.13341\", \"/pdf/2401.13639\", \"/pdf/2401.14051\", \"/pdf/2401.14906\", \"/pdf/2401.15169\", \"/pdf/2401.15245\", \"/pdf/2401.15279\", \"/pdf/2401.15318\", \"/pdf/2401.15523\", \"/pdf/2401.15628\", \"/pdf/2401.15664\", \"/pdf/2401.16496\", \"/pdf/2401.16534\", \"/pdf/2401.16536\", \"/pdf/2401.00825\", \"/pdf/2401.00847\", \"/pdf/2401.01339\", \"/pdf/2401.01391\", \"/pdf/2401.01647\", \"/pdf/2401.02411\", \"/pdf/2401.02435\", \"/pdf/2401.02436\", \"/pdf/2401.02620\", \"/pdf/2401.02804\", \"/pdf/2401.02847\", \"/pdf/2401.03257\", \"/pdf/2401.03431\", \"/pdf/2401.03499\", \"/pdf/2401.03764\", \"/pdf/2401.03890\", \"/pdf/2401.04153\"], \"title\": [\"Free-form Shape Modeling in XR: A Systematic Review\", \"Image Sculpting: Precise Object Editing with 3D Geometry Control\", \"Immersive Serious Games for Learning Physics Concepts: The Case of Density\", \"Teaching with a companion: the case of gravity\", \"Compositing with 2D Vector Fields by using Shape Maps that can represent Inconsistent, Impossible, and Incoherent Shapes\", \"Particle-Wise Higher-Order SPH Field Approximation for DVR\", \"AKN_Regie: bridging digital and performing arts\", \"Computational Smocking through Fabric-Thread Interaction\", \"3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?\", \"Scalar Representation of 2D Steady Vector Fields\", \"FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition\", \"High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering\", \"Diverse Part Synthesis for 3D Shape Creation\", \"Lightweight Self-Driven Deformable Organ Animations\", \"Spherical Density-Equalizing Map for Genus-0 Closed Surfaces\", \"A Multi-scale Yarn Appearance Model with Fiber Details\", \"Hyper-Realist Rendering: A Theoretical Framework\", \"PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting\", \"PatternPortrait: Draw Me Like One of Your Scribbles\", \"Evaluation of depth perception in crowded volumes\", \"Winding Clearness for Differentiable Point Cloud Optimization\", \"A real-time rendering method for high albedo anisotropic materials with multiple scattering\", \"A High-Performance SurfaceNets Discrete Isocontouring Algorithm\", \"Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models\", \"GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation\", \"FabHacks: Transform Everyday Objects into Functional Fixtures\", \"Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering\", \"Performance-Based Biped Control using a Consumer Depth Camera\", \"A Micro-Ellipsoid Model for Wet Porous Materials Rendering\", \"Learning Human-like Locomotion Based on Biological Actuation and Rewards\", \"Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation\", \"Democratizing the Creation of Animatable Facial Avatars\", \"Saccade-Contingent Rendering\", \"Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior\", \"Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera\", \"Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting\", \"On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding\", \"SIGNeRF: Scene Integrated Generation for Neural Radiance Fields\", \"What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs\", \"Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization\", \"Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis\", \"Progress and Prospects in 3D Generative AI: A Technical Overview including 3D human\", \"DiffBody: Diffusion-based Pose and Shape Editing of Human Images\", \"Generating Non-Stationary Textures using Self-Rectification\", \"RustNeRF: Robust Neural Radiance Field with Low-Quality Images\", \"See360: Novel Panoramic View Interpolation\", \"Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production\", \"3D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesis\", \"A Survey on 3D Gaussian Splatting\", \"FTLE for Flow Ensembles by Optimal Domain Displacement\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-5cf56401fddde1335dd0", "input": "https://books.toscrape.com/catalogue/category/books/nonfiction_13/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-5cf56401fddde1335dd0\", \"input\": \"dataset/html/liveweb-ie-5cf56401fddde1335dd0.html\", \"input_sha256\": \"be69d3a5293343cf9c27062b7819af219233cfe02e98ac0d36eb3a739d94c0d2\", \"original_reference\": {\"category\": [\"Nonfiction\"]}, \"qualification\": {\"input_sha256\": \"be69d3a5293343cf9c27062b7819af219233cfe02e98ac0d36eb3a739d94c0d2\", \"observed_at\": \"2026-11-06T10:08:13Z\", \"reference_sha256\": \"fc35ef76a743374698030d414f36130728323b9275afea562c56b2340017c228\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/category/books/nonfiction_13/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the category of the book.\", \"schema\": {\"properties\": {\"category\": {\"description\": \"Retrieve the category of the book.; target attribute: category\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"category\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"category\": {\"Nonfiction\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/category/books/nonfiction_13/index.html\", \"value_kinds\": {}, \"values\": {\"category\": [\"Nonfiction\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-3193a683f06617dde12c", "input": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2024&year2=2024&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-3193a683f06617dde12c\", \"input\": \"dataset/html/liveweb-ie-3193a683f06617dde12c.html\", \"input_sha256\": \"6d611f7f17a9c7f04b58664e52c4eda7e2ab8f34857697a8a39ef545e95aa10c\", \"original_reference\": {\"driver_mpg\": [\"134.8\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\"]}, \"qualification\": {\"input_sha256\": \"6d611f7f17a9c7f04b58664e52c4eda7e2ab8f34857697a8a39ef545e95aa10c\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"46415962b3b90a5518db27ac74c98b11482b80ef8bef535bbc117b5989adda2d\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2024&year2=2024&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please extract all driver mpg\", \"schema\": {\"properties\": {\"driver_mpg\": {\"description\": \"Please extract all driver mpg; target attribute: driver_mpg\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"driver_mpg\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"driver_mpg\": {\"134.8\": 1, \"NA\": 12}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2024&year2=2024&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50\", \"value_kinds\": {}, \"values\": {\"driver_mpg\": [\"134.8\", \"NA\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-91654157f2deea805da7", "input": "https://huggingface.co/papers/date/2024-08-07", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-91654157f2deea805da7\", \"input\": \"dataset/html/liveweb-ie-91654157f2deea805da7.html\", \"input_sha256\": \"1e6617497bae6220fc6942a0e70148d699fe84555a0efbb18f585a7050e01eff\", \"original_reference\": {\"author_count\": [\"4\", \"12\", \"10\", \"4\", \"11\", \"6\", \"8\", \"5\", \"13\", \"7\", \"6\", \"7\"]}, \"qualification\": {\"input_sha256\": \"1e6617497bae6220fc6942a0e70148d699fe84555a0efbb18f585a7050e01eff\", \"observed_at\": \"2026-11-06T10:07:36Z\", \"reference_sha256\": \"a522be5dbf783bd61c1eabd42332740b9d59cdf0c50bc6ba5e8f3bf0fe5e4a0a\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/date/2024-08-07\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Show me the list of author counts for all papers\", \"schema\": {\"properties\": {\"author_count\": {\"description\": \"Show me the list of author counts for all papers; target attribute: author_count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author_count\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"author_count\": {\"10\": 1, \"11\": 1, \"12\": 1, \"13\": 1, \"4\": 2, \"5\": 1, \"6\": 2, \"7\": 2, \"8\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/date/2024-08-07\", \"value_kinds\": {}, \"values\": {\"author_count\": [\"4\", \"12\", \"10\", \"11\", \"6\", \"8\", \"5\", \"13\", \"7\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-cc489750aa08f7fab99f", "input": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=llm+agent", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-cc489750aa08f7fab99f\", \"input\": \"dataset/html/liveweb-ie-cc489750aa08f7fab99f.html\", \"input_sha256\": \"8d6f2fd792b3d36071c9fb761201b666eed15f2e5f3e9de5b8cba193f0ab5c0e\", \"original_reference\": {\"title\": [\"Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning\", \"Robotouille: An Asynchronous Planning Benchmark for LLM Agents\", \"AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents\", \"Discriminator-Guided Embodied Planning for LLM Agent\", \"Moral Alignment for LLM Agents\", \"BadRobot: Jailbreaking Embodied LLM Agents in the Physical World\", \"Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback\", \"AgentSquare: Automatic LLM Agent Search in Modular Design Space\", \"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance\", \"Do LLM Agents  Have Regret? A Case Study in Online Learning and Games\", \"Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View\", \"Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents\", \"EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents\"]}, \"qualification\": {\"input_sha256\": \"8d6f2fd792b3d36071c9fb761201b666eed15f2e5f3e9de5b8cba193f0ab5c0e\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"3111ac492a2e042a8fb150cee8418f497607e902f30498c5e7effcb29c5ac9a8\", \"source_supported_corrections\": [{\"accepted\": \"Do LLM Agents Have Regret? A Case Study in Online Learning and Games\", \"field\": \"title\", \"original\": \"Do LLM Agents  Have Regret? A Case Study in Online Learning and Games\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"8d6f2fd792b3d36071c9fb761201b666eed15f2e5f3e9de5b8cba193f0ab5c0e\"}], \"source_url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=llm+agent\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all paper titles.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract all paper titles.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents\": 1, \"AgentSquare: Automatic LLM Agent Search in Modular Design Space\": 1, \"BadRobot: Jailbreaking Embodied LLM Agents in the Physical World\": 1, \"Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback\": 1, \"Discriminator-Guided Embodied Planning for LLM Agent\": 1, \"Do LLM Agents Have Regret? A Case Study in Online Learning and Games\": 1, \"EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents\": 1, \"Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning\": 1, \"Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View\": 1, \"Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents\": 1, \"Moral Alignment for LLM Agents\": 1, \"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance\": 1, \"Robotouille: An Asynchronous Planning Benchmark for LLM Agents\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=llm+agent\", \"value_kinds\": {}, \"values\": {\"title\": [\"Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning\", \"Robotouille: An Asynchronous Planning Benchmark for LLM Agents\", \"AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents\", \"Discriminator-Guided Embodied Planning for LLM Agent\", \"Moral Alignment for LLM Agents\", \"BadRobot: Jailbreaking Embodied LLM Agents in the Physical World\", \"Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback\", \"AgentSquare: Automatic LLM Agent Search in Modular Design Space\", \"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance\", \"Do LLM Agents Have Regret? A Case Study in Online Learning and Games\", \"Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View\", \"Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents\", \"EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-f9d174cfbedaba003c21", "input": "https://icml.cc/virtual/2025/papers.html?filter=title&search=score", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-f9d174cfbedaba003c21\", \"input\": \"dataset/html/liveweb-ie-f9d174cfbedaba003c21.html\", \"input_sha256\": \"ebb64bec00992c0732a6e78ad7ccb0e8b28a83201e142a28ed18da8dece44e99\", \"original_reference\": {\"title\": [\"Rethinking Score Distilling Sampling for 3D Editing and Generation\", \"Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance\", \"Learning Distances from Data with Normalizing Flows and Score Matching\", \"Rectifying Conformity Scores for Better Conditional Coverage\", \"David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training\", \"Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning\", \"Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models\", \"Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion\", \"Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport\", \"A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression\", \"Score Matching with Missing Data\", \"Binary Hypothesis Testing for Softmax Models and Leverage Score Models\", \"Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows\", \"A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations\", \"An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data\", \"Conformity Score Averaging for Classification\", \"MissScore: High-Order Score Estimation in the Presence of Missing Data\", \"Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data\", \"Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL\", \"Continuous Visual Autoregressive Generation via Score Maximization\", \"Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization\", \"Improving Compositional Generation with Diffusion Models Using Lift Scores\", \"Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion\", \"Sampling Binary Data by Denoising through Score Functions\", \"Noise Conditional Variational Score Distillation\", \"Discrete Markov Probabilistic Models: An Improved Discrete Score-Based  Framework with sharp convergence bounds under minimal assumptions\", \"B-score: Detecting biases in large language models using response history\", \"Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions\"]}, \"qualification\": {\"input_sha256\": \"ebb64bec00992c0732a6e78ad7ccb0e8b28a83201e142a28ed18da8dece44e99\", \"observed_at\": \"2026-11-06T10:07:23Z\", \"reference_sha256\": \"24fe275a00aa9dc8d8ad00226a190f090189e87ea6132695a63885b6222f56a8\", \"source_supported_corrections\": [{\"accepted\": \"Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions\", \"field\": \"title\", \"original\": \"Discrete Markov Probabilistic Models: An Improved Discrete Score-Based  Framework with sharp convergence bounds under minimal assumptions\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"ebb64bec00992c0732a6e78ad7ccb0e8b28a83201e142a28ed18da8dece44e99\"}], \"source_url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=score\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every paper title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve every paper title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations\": 1, \"A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression\": 1, \"An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data\": 1, \"B-score: Detecting biases in large language models using response history\": 1, \"Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance\": 1, \"Binary Hypothesis Testing for Softmax Models and Leverage Score Models\": 1, \"Conformity Score Averaging for Classification\": 1, \"Continuous Visual Autoregressive Generation via Score Maximization\": 1, \"David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training\": 1, \"Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions\": 1, \"Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization\": 1, \"Improving Compositional Generation with Diffusion Models Using Lift Scores\": 1, \"Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion\": 1, \"Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data\": 1, \"Learning Distances from Data with Normalizing Flows and Score Matching\": 1, \"MissScore: High-Order Score Estimation in the Presence of Missing Data\": 1, \"Noise Conditional Variational Score Distillation\": 1, \"Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models\": 1, \"Rectifying Conformity Scores for Better Conditional Coverage\": 1, \"Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL\": 1, \"Rethinking Score Distilling Sampling for 3D Editing and Generation\": 1, \"Sampling Binary Data by Denoising through Score Functions\": 1, \"Score Matching with Missing Data\": 1, \"Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning\": 1, \"Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport\": 1, \"Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows\": 1, \"Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions\": 1, \"Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=score\", \"value_kinds\": {}, \"values\": {\"title\": [\"Rethinking Score Distilling Sampling for 3D Editing and Generation\", \"Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance\", \"Learning Distances from Data with Normalizing Flows and Score Matching\", \"Rectifying Conformity Scores for Better Conditional Coverage\", \"David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training\", \"Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning\", \"Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models\", \"Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion\", \"Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport\", \"A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression\", \"Score Matching with Missing Data\", \"Binary Hypothesis Testing for Softmax Models and Leverage Score Models\", \"Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows\", \"A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations\", \"An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data\", \"Conformity Score Averaging for Classification\", \"MissScore: High-Order Score Estimation in the Presence of Missing Data\", \"Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data\", \"Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL\", \"Continuous Visual Autoregressive Generation via Score Maximization\", \"Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization\", \"Improving Compositional Generation with Diffusion Models Using Lift Scores\", \"Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion\", \"Sampling Binary Data by Denoising through Score Functions\", \"Noise Conditional Variational Score Distillation\", \"Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions\", \"B-score: Detecting biases in large language models using response history\", \"Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions\"]}}"}
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{"family": "structured-field-extraction", "id": "liveweb-ie-20ee07e4aff104f3d299", "input": "https://www.thecocktaildb.com/browse/letter/w", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-20ee07e4aff104f3d299\", \"input\": \"dataset/html/liveweb-ie-20ee07e4aff104f3d299.html\", \"input_sha256\": \"2a23d9688f213cc18f6879e5f26dafe01f5a6b325a2bcc11b355d3e2139c6cf2\", \"original_reference\": {\"cocktail\": [\"Waikiki Beachcomber\", \"Whiskey Sour\", \"Whisky Mac\", \"White Lady\", \"White Russian\", \"White Wine Sangria\", \"Whitecap Margarita\", \"Wine Cooler\", \"Wine Punch\", \"Winter Paloma\", \"Winter Rita\"]}, \"qualification\": {\"input_sha256\": \"2a23d9688f213cc18f6879e5f26dafe01f5a6b325a2bcc11b355d3e2139c6cf2\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"d31fb4d3a90fdce4834fe26b3c058de2d861a05a0883709b68d2835a2f01a867\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/browse/letter/w\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the list of every drink's name\", \"schema\": {\"properties\": {\"cocktail\": {\"description\": \"Fetch the list of every drink's name; target attribute: cocktail\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"cocktail\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"cocktail\": {\"Waikiki Beachcomber\": 1, \"Whiskey Sour\": 1, \"Whisky Mac\": 1, \"White Lady\": 1, \"White Russian\": 1, \"White Wine Sangria\": 1, \"Whitecap Margarita\": 1, \"Wine Cooler\": 1, \"Wine Punch\": 1, \"Winter Paloma\": 1, \"Winter Rita\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/browse/letter/w\", \"value_kinds\": {}, \"values\": {\"cocktail\": [\"Waikiki Beachcomber\", \"Whiskey Sour\", \"Whisky Mac\", \"White Lady\", \"White Russian\", \"White Wine Sangria\", \"Whitecap Margarita\", \"Wine Cooler\", \"Wine Punch\", \"Winter Paloma\", \"Winter Rita\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-aafad8fb30b1eda02157", "input": "https://www.themealdb.com/browse/letter/k", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-aafad8fb30b1eda02157\", \"input\": \"dataset/html/liveweb-ie-aafad8fb30b1eda02157.html\", \"input_sha256\": \"8c6f59e48c2e513d4012c180b3c2a62171e3ca3bab05025c4bc184e1750396aa\", \"original_reference\": {\"meal_link\": [\"/meal/52769-kapsalon-recipe\", \"/meal/52813-kentucky-fried-chicken-recipe\", \"/meal/52820-katsu-chicken-curry-recipe\", \"/meal/52859-key-lime-pie-recipe\", \"/meal/52868-kidney-bean-curry-recipe\", \"/meal/52887-kedgeree-recipe\", \"/meal/52945-kung-pao-chicken-recipe\", \"/meal/52946-kung-po-prawns-recipe\", \"/meal/52971-kafteji-recipe\", \"/meal/52974-keleya-zaara-recipe\", \"/meal/52978-kumpir-recipe\", \"/meal/53015-krispy-kreme-donut-recipe\", \"/meal/53027-koshari-recipe\"]}, \"qualification\": {\"input_sha256\": \"8c6f59e48c2e513d4012c180b3c2a62171e3ca3bab05025c4bc184e1750396aa\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"bfdce171d571eb80bd717be671cdbcf06a899c01b10bd8bfa20c9446caff2260\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/browse/letter/k\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"List every food with its detail link\", \"schema\": {\"properties\": {\"meal_link\": {\"description\": \"List every food with its detail link; target attribute: meal_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"meal_link\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"meal_link\": {\"/meal/52769-kapsalon-recipe\": 1, \"/meal/52813-kentucky-fried-chicken-recipe\": 1, \"/meal/52820-katsu-chicken-curry-recipe\": 1, \"/meal/52859-key-lime-pie-recipe\": 1, \"/meal/52868-kidney-bean-curry-recipe\": 1, \"/meal/52887-kedgeree-recipe\": 1, \"/meal/52945-kung-pao-chicken-recipe\": 1, \"/meal/52946-kung-po-prawns-recipe\": 1, \"/meal/52971-kafteji-recipe\": 1, \"/meal/52974-keleya-zaara-recipe\": 1, \"/meal/52978-kumpir-recipe\": 1, \"/meal/53015-krispy-kreme-donut-recipe\": 1, \"/meal/53027-koshari-recipe\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/browse/letter/k\", \"value_kinds\": {\"meal_link\": \"url\"}, \"values\": {\"meal_link\": [\"/meal/52769-kapsalon-recipe\", \"/meal/52813-kentucky-fried-chicken-recipe\", \"/meal/52820-katsu-chicken-curry-recipe\", \"/meal/52859-key-lime-pie-recipe\", \"/meal/52868-kidney-bean-curry-recipe\", \"/meal/52887-kedgeree-recipe\", \"/meal/52945-kung-pao-chicken-recipe\", \"/meal/52946-kung-po-prawns-recipe\", \"/meal/52971-kafteji-recipe\", \"/meal/52974-keleya-zaara-recipe\", \"/meal/52978-kumpir-recipe\", \"/meal/53015-krispy-kreme-donut-recipe\", \"/meal/53027-koshari-recipe\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-08a6c10bb32450446af6", "input": "https://www.thesportsdb.com/event/1543910-tunisia-vs-france", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-08a6c10bb32450446af6\", \"input\": \"dataset/html/liveweb-ie-08a6c10bb32450446af6.html\", \"input_sha256\": \"f63af8715eee073212a4921a3be449c060a0ac904cabac327b070fe69951ac34\", \"original_reference\": {\"event_link\": [\"/event/1543910-tunisia-vs-france\"], \"fanart\": [\"/images/no_fanart.png\"]}, \"qualification\": {\"input_sha256\": \"f63af8715eee073212a4921a3be449c060a0ac904cabac327b070fe69951ac34\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"54b0b6958d740f65318f2849ef8f1eee7d3680566a89571ebfaa97120d8d01d0\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/event/1543910-tunisia-vs-france\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the fanart for this game and the link of the event's name.\", \"schema\": {\"properties\": {\"event_link\": {\"description\": \"Retrieve the fanart for this game and the link of the event's name.; target attribute: event_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"fanart\": {\"description\": \"Retrieve the fanart for this game and the link of the event's name.; target attribute: fanart\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"fanart\", \"event_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"event_link\": {\"/event/1543910-tunisia-vs-france\": 1}, \"fanart\": {\"/images/no_fanart.png\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/event/1543910-tunisia-vs-france\", \"value_kinds\": {\"event_link\": \"url\", \"fanart\": \"url\"}, \"values\": {\"event_link\": [\"/event/1543910-tunisia-vs-france\"], \"fanart\": [\"/images/no_fanart.png\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-f7a436a39e7146ed448c", "input": "https://arxiv.org", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-f7a436a39e7146ed448c\", \"input\": \"dataset/html/liveweb-ie-f7a436a39e7146ed448c.html\", \"input_sha256\": \"4d846ef3a843d9c8ea6a3fe4540f43b058de193e080425ae29b5f9b4a4d5baea\", \"original_reference\": {\"subject\": [\"Physics\", \"Mathematics\", \"Computer Science\", \"Quantitative Biology\", \"Quantitative Finance\", \"Statistics\", \"Electrical Engineering and Systems Science\", \"Economics\"]}, \"qualification\": {\"input_sha256\": \"4d846ef3a843d9c8ea6a3fe4540f43b058de193e080425ae29b5f9b4a4d5baea\", \"observed_at\": \"2026-11-06T10:07:05Z\", \"reference_sha256\": \"4b371d53a55272d3382116bb5ccd15f6bf0a1b47517c797c98a534b82910e961\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all top-level subjects from the page\", \"schema\": {\"properties\": {\"subject\": {\"description\": \"Extract all top-level subjects from the page; target attribute: subject\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"subject\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"subject\": {\"Computer Science\": 1, \"Economics\": 1, \"Electrical Engineering and Systems Science\": 1, \"Mathematics\": 1, \"Physics\": 1, \"Quantitative Biology\": 1, \"Quantitative Finance\": 1, \"Statistics\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org\", \"value_kinds\": {}, \"values\": {\"subject\": [\"Physics\", \"Mathematics\", \"Computer Science\", \"Quantitative Biology\", \"Quantitative Finance\", \"Statistics\", \"Electrical Engineering and Systems Science\", \"Economics\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-c8b94c975cee8d512b34", "input": "https://books.toscrape.com/catalogue/page-14.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-c8b94c975cee8d512b34\", \"input\": \"dataset/html/liveweb-ie-c8b94c975cee8d512b34.html\", \"input_sha256\": \"8974e620a0d0f745cab16d0130e07cb15aa692c81e05f33b3c25f396447b9a3f\", \"original_reference\": {\"stock_status\": [\"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\", \"In stock\"], \"title\": [\"Swell: A Year of ...\", \"Superman Vol. 1: Before ...\", \"Still Life with Bread ...\", \"Steve Jobs\", \"Sorting the Beef from ...\", \"Someone Like You (The ...\", \"So Cute It Hurts!!, ...\", \"Shtum\", \"See America: A Celebration ...\", \"salt.\", \"Robin War\", \"Red Hood/Arsenal, Vol. 1: ...\", \"Rain Fish\", \"Quarter Life Poetry: Poems ...\", \"Pet Sematary\", \"Overload: How to Unplug, ...\", \"Once Was a Time\", \"Old School (Diary of ...\", \"No Dream Is Too ...\", \"Naruto (3-in-1 Edition), Vol. ...\"]}, \"qualification\": {\"input_sha256\": \"8974e620a0d0f745cab16d0130e07cb15aa692c81e05f33b3c25f396447b9a3f\", \"observed_at\": \"2026-11-06T10:08:13Z\", \"reference_sha256\": \"84888009bbfdc666ef8ecec6e0f2c17c04b5a84cb7e1dba441b6c3ec71317539\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/page-14.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"List all book titles with stock status\", \"schema\": {\"properties\": {\"stock_status\": {\"description\": \"List all book titles with stock status; target attribute: stock_status\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"List all book titles with stock status; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"stock_status\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"stock_status\": {\"In stock\": 20}, \"title\": {\"Naruto (3-in-1 Edition), Vol. ...\": 1, \"No Dream Is Too ...\": 1, \"Old School (Diary of ...\": 1, \"Once Was a Time\": 1, \"Overload: How to Unplug, ...\": 1, \"Pet Sematary\": 1, \"Quarter Life Poetry: Poems ...\": 1, \"Rain Fish\": 1, \"Red Hood/Arsenal, Vol. 1: ...\": 1, \"Robin War\": 1, \"See America: A Celebration ...\": 1, \"Shtum\": 1, \"So Cute It Hurts!!, ...\": 1, \"Someone Like You (The ...\": 1, \"Sorting the Beef from ...\": 1, \"Steve Jobs\": 1, \"Still Life with Bread ...\": 1, \"Superman Vol. 1: Before ...\": 1, \"Swell: A Year of ...\": 1, \"salt.\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/page-14.html\", \"value_kinds\": {}, \"values\": {\"stock_status\": [\"In stock\"], \"title\": [\"Swell: A Year of ...\", \"Superman Vol. 1: Before ...\", \"Still Life with Bread ...\", \"Steve Jobs\", \"Sorting the Beef from ...\", \"Someone Like You (The ...\", \"So Cute It Hurts!!, ...\", \"Shtum\", \"See America: A Celebration ...\", \"salt.\", \"Robin War\", \"Red Hood/Arsenal, Vol. 1: ...\", \"Rain Fish\", \"Quarter Life Poetry: Poems ...\", \"Pet Sematary\", \"Overload: How to Unplug, ...\", \"Once Was a Time\", \"Old School (Diary of ...\", \"No Dream Is Too ...\", \"Naruto (3-in-1 Edition), Vol. ...\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-56b2ca60a14fee342f5c", "input": "https://www.fueleconomy.gov/feg/findacar.shtml", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-56b2ca60a14fee342f5c\", \"input\": \"dataset/html/liveweb-ie-56b2ca60a14fee342f5c.html\", \"input_sha256\": \"230badb630063834750888ca2fb73ea1896f61df4cda4aa98a73a1863677a369\", \"original_reference\": {\"vehicle_type\": [\"Small Cars\", \"Sedans\", \"Hatchbacks\", \"Coupes\", \"Sporty Cars\", \"Luxury Cars\", \"Wagons\", \"SUVs\", \"Pickups\", \"Hybrid\", \"Plug-in Hybrid\", \"All-Electric\", \"Diesel\", \"Flex-Fuel\", \"Fuel Cell\"]}, \"qualification\": {\"input_sha256\": \"230badb630063834750888ca2fb73ea1896f61df4cda4aa98a73a1863677a369\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"dd70480992f95d31899dbb19be79bfc53962f98b4e99cbfd2e56f58d35e8e892\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/findacar.shtml\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"What are the type names associated with these vehicles?\", \"schema\": {\"properties\": {\"vehicle_type\": {\"description\": \"What are the type names associated with these vehicles?; target attribute: vehicle_type\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_type\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"vehicle_type\": {\"All-Electric\": 1, \"Coupes\": 1, \"Diesel\": 1, \"Flex-Fuel\": 1, \"Fuel Cell\": 1, \"Hatchbacks\": 1, \"Hybrid\": 1, \"Luxury Cars\": 1, \"Pickups\": 1, \"Plug-in Hybrid\": 1, \"SUVs\": 1, \"Sedans\": 1, \"Small Cars\": 1, \"Sporty Cars\": 1, \"Wagons\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/findacar.shtml\", \"value_kinds\": {}, \"values\": {\"vehicle_type\": [\"Small Cars\", \"Sedans\", \"Hatchbacks\", \"Coupes\", \"Sporty Cars\", \"Luxury Cars\", \"Wagons\", \"SUVs\", \"Pickups\", \"Hybrid\", \"Plug-in Hybrid\", \"All-Electric\", \"Diesel\", \"Flex-Fuel\", \"Fuel Cell\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-de05f5fc4b3b08b51bbd", "input": "https://huggingface.co/papers/2408.14805", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-de05f5fc4b3b08b51bbd\", \"input\": \"dataset/html/liveweb-ie-de05f5fc4b3b08b51bbd.html\", \"input_sha256\": \"0d1cef54f36b3b3e3e12c12ef85ac63afb280cb2bed7929bae3687cb2d848730\", \"original_reference\": {\"model_citation_count\": [\"0\"]}, \"qualification\": {\"input_sha256\": \"0d1cef54f36b3b3e3e12c12ef85ac63afb280cb2bed7929bae3687cb2d848730\", \"observed_at\": \"2026-11-06T10:07:37Z\", \"reference_sha256\": \"b6e75d05d71ca6bb6bc41a06f051e50aef5524cf0c3fe91b54115db110e9fe7a\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/2408.14805\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the number of models referencing this paper\", \"schema\": {\"properties\": {\"model_citation_count\": {\"description\": \"Get the number of models referencing this paper; target attribute: model_citation_count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"model_citation_count\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"model_citation_count\": {\"0\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/2408.14805\", \"value_kinds\": {}, \"values\": {\"model_citation_count\": [\"0\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-c0422174f673d914f87f", "input": "https://iclr.cc/virtual/2025/poster/28655", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-c0422174f673d914f87f\", \"input\": \"dataset/html/liveweb-ie-c0422174f673d914f87f.html\", \"input_sha256\": \"a2c372f674f48ef8748e8348336474e80c6dd065b4f7a080d34b67af04e05c09\", \"original_reference\": {\"title\": [\"Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering\"]}, \"qualification\": {\"input_sha256\": \"a2c372f674f48ef8748e8348336474e80c6dd065b4f7a080d34b67af04e05c09\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"4e5d83ccd53695ea2c995291671757aee72ddd86df5b03d8cef5b168c6eef4b7\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/poster/28655\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the research paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the research paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/poster/28655\", \"value_kinds\": {}, \"values\": {\"title\": [\"Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering\"]}}"}
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{"family": "structured-field-extraction", "id": "liveweb-ie-29b489d76795e55dc507", "input": "https://sandbox.oxylabs.io/products?page=87", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-29b489d76795e55dc507\", \"input\": \"dataset/html/liveweb-ie-29b489d76795e55dc507.html\", \"input_sha256\": \"d99f6d5f71376dfb680c9048ac4187ef5b17b0b130b1749666d92452aad27875\", \"original_reference\": {\"image\": [\"/assets/driving.svg\", \"/assets/adventure.svg\", \"/assets/fantasy.svg\", \"/assets/action.svg\", \"/assets/adventure.svg\", \"/assets/strategy.svg\", \"/assets/action.svg\", \"/assets/action.svg\", \"/assets/action-adventure.svg\", \"/assets/role-playing.svg\", \"/assets/action.svg\", \"/assets/simulation.svg\", \"/assets/action.svg\", \"/assets/sports.svg\", \"/assets/action-adventure.svg\", \"/assets/action.svg\", \"/assets/simulation.svg\", \"/assets/role-playing.svg\", \"/assets/action.svg\", \"/assets/action.svg\", \"/assets/action-adventure.svg\", \"/assets/strategy.svg\", \"/assets/general.svg\", \"/assets/action.svg\", \"/assets/action.svg\", \"/assets/action.svg\", \"/assets/action.svg\", \"/assets/action-adventure.svg\", \"/assets/driving.svg\", \"/assets/action.svg\", \"/assets/adventure.svg\", \"/assets/action.svg\"], \"link\": [\"/products/2753\", \"/products/2754\", \"/products/2755\", \"/products/2756\", \"/products/2757\", \"/products/2758\", \"/products/2759\", \"/products/2760\", \"/products/2761\", \"/products/2762\", \"/products/2763\", \"/products/2764\", \"/products/2765\", \"/products/2766\", \"/products/2767\", \"/products/2768\", \"/products/2769\", \"/products/2770\", \"/products/2771\", \"/products/2772\", \"/products/2773\", \"/products/2774\", \"/products/2775\", \"/products/2776\", \"/products/2777\", \"/products/2778\", \"/products/2779\", \"/products/2780\", \"/products/2781\", \"/products/2782\", \"/products/2783\", \"/products/2784\"], \"title\": [\"Joy Ride Turbo\", \"Hotel Sowls\", \"Dreamfall Chapters\", \"Save me Mr Tako: Tasukete Tako-San\", \"Culpa Innata\", \"Heroes of Might and Magic V: Hammers of Fate\", \"Batman Begins\", \"Potata: Fairy Flower\", \"Windscape\", \"Earthlock: Festival of Magic\", \"Foul Play\", \"The Sims 4: Outdoor Retreat\", \"Sparkle 2\", \"True Swing Golf\", \"Transformers: Decepticons\", \"Geist\", \"The Sims 4\", \"Tales of the World: Radiant Mythology\", \"DreamWorks Madagascar\", \"Red Faction: Guerrilla - Demons of the Badlands\", \"Blood Omen 2\", \"City Life 2008 Edition\", \"EQQO\", \"Dragon Ball Z: Supersonic Warriors 2\", \"Nights of Azure 2: Bride of the New Moon\", \"Quantum Break\", \"Time Crisis: Crisis Zone\", \"MediEvil: Resurrection\", \"BlazeRush\", \"Kirby Fighters Deluxe\", \"Nibiru: Age of Secrets\", \"Black Rock Shooter: The Game\"]}, \"qualification\": {\"input_sha256\": \"d99f6d5f71376dfb680c9048ac4187ef5b17b0b130b1749666d92452aad27875\", \"observed_at\": \"2026-11-06T10:08:04Z\", \"reference_sha256\": \"36661d8553906a818b11b9d573153fe15da45b3e5a7d3265b97d9b9157c33e9d\", \"source_supported_corrections\": [], \"source_url\": \"https://sandbox.oxylabs.io/products?page=87\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Collect every game title along with its image and link\", \"schema\": {\"properties\": {\"image\": {\"description\": \"Collect every game title along with its image and link; target attribute: image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"link\": {\"description\": \"Collect every game title along with its image and link; target attribute: link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Collect every game title along with its image and link; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"image\", \"link\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"image\": {\"/assets/action-adventure.svg\": 4, \"/assets/action.svg\": 14, \"/assets/adventure.svg\": 3, \"/assets/driving.svg\": 2, \"/assets/fantasy.svg\": 1, \"/assets/general.svg\": 1, \"/assets/role-playing.svg\": 2, \"/assets/simulation.svg\": 2, \"/assets/sports.svg\": 1, \"/assets/strategy.svg\": 2}, \"link\": {\"/products/2753\": 1, \"/products/2754\": 1, \"/products/2755\": 1, \"/products/2756\": 1, \"/products/2757\": 1, \"/products/2758\": 1, \"/products/2759\": 1, \"/products/2760\": 1, \"/products/2761\": 1, \"/products/2762\": 1, \"/products/2763\": 1, \"/products/2764\": 1, \"/products/2765\": 1, \"/products/2766\": 1, \"/products/2767\": 1, \"/products/2768\": 1, \"/products/2769\": 1, \"/products/2770\": 1, \"/products/2771\": 1, \"/products/2772\": 1, \"/products/2773\": 1, \"/products/2774\": 1, \"/products/2775\": 1, \"/products/2776\": 1, \"/products/2777\": 1, \"/products/2778\": 1, \"/products/2779\": 1, \"/products/2780\": 1, \"/products/2781\": 1, \"/products/2782\": 1, \"/products/2783\": 1, \"/products/2784\": 1}, \"title\": {\"Batman Begins\": 1, \"Black Rock Shooter: The Game\": 1, \"BlazeRush\": 1, \"Blood Omen 2\": 1, \"City Life 2008 Edition\": 1, \"Culpa Innata\": 1, \"Dragon Ball Z: Supersonic Warriors 2\": 1, \"DreamWorks Madagascar\": 1, \"Dreamfall Chapters\": 1, \"EQQO\": 1, \"Earthlock: Festival of Magic\": 1, \"Foul Play\": 1, \"Geist\": 1, \"Heroes of Might and Magic V: Hammers of Fate\": 1, \"Hotel Sowls\": 1, \"Joy Ride Turbo\": 1, \"Kirby Fighters Deluxe\": 1, \"MediEvil: Resurrection\": 1, \"Nibiru: Age of Secrets\": 1, \"Nights of Azure 2: Bride of the New Moon\": 1, \"Potata: Fairy Flower\": 1, \"Quantum Break\": 1, \"Red Faction: Guerrilla - Demons of the Badlands\": 1, \"Save me Mr Tako: Tasukete Tako-San\": 1, \"Sparkle 2\": 1, \"Tales of the World: Radiant Mythology\": 1, \"The Sims 4\": 1, \"The Sims 4: Outdoor Retreat\": 1, \"Time Crisis: Crisis Zone\": 1, \"Transformers: Decepticons\": 1, \"True Swing Golf\": 1, \"Windscape\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products?page=87\", \"value_kinds\": {\"image\": \"url\", \"link\": \"url\"}, \"values\": {\"image\": [\"/assets/driving.svg\", \"/assets/adventure.svg\", \"/assets/fantasy.svg\", \"/assets/action.svg\", \"/assets/strategy.svg\", \"/assets/action-adventure.svg\", \"/assets/role-playing.svg\", \"/assets/simulation.svg\", \"/assets/sports.svg\", \"/assets/general.svg\"], \"link\": [\"/products/2753\", \"/products/2754\", \"/products/2755\", \"/products/2756\", \"/products/2757\", \"/products/2758\", \"/products/2759\", \"/products/2760\", \"/products/2761\", \"/products/2762\", \"/products/2763\", \"/products/2764\", \"/products/2765\", \"/products/2766\", \"/products/2767\", \"/products/2768\", \"/products/2769\", \"/products/2770\", \"/products/2771\", \"/products/2772\", \"/products/2773\", \"/products/2774\", \"/products/2775\", \"/products/2776\", \"/products/2777\", \"/products/2778\", \"/products/2779\", \"/products/2780\", \"/products/2781\", \"/products/2782\", \"/products/2783\", \"/products/2784\"], \"title\": [\"Joy Ride Turbo\", \"Hotel Sowls\", \"Dreamfall Chapters\", \"Save me Mr Tako: Tasukete Tako-San\", \"Culpa Innata\", \"Heroes of Might and Magic V: Hammers of Fate\", \"Batman Begins\", \"Potata: Fairy Flower\", \"Windscape\", \"Earthlock: Festival of Magic\", \"Foul Play\", \"The Sims 4: Outdoor Retreat\", \"Sparkle 2\", \"True Swing Golf\", \"Transformers: Decepticons\", \"Geist\", \"The Sims 4\", \"Tales of the World: Radiant Mythology\", \"DreamWorks Madagascar\", \"Red Faction: Guerrilla - Demons of the Badlands\", \"Blood Omen 2\", \"City Life 2008 Edition\", \"EQQO\", \"Dragon Ball Z: Supersonic Warriors 2\", \"Nights of Azure 2: Bride of the New Moon\", \"Quantum Break\", \"Time Crisis: Crisis Zone\", \"MediEvil: Resurrection\", \"BlazeRush\", \"Kirby Fighters Deluxe\", \"Nibiru: Age of Secrets\", \"Black Rock Shooter: The Game\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-fb2d2fec81d68e45a6a2", "input": "https://www.scrapethissite.com/pages/forms/?page_num=1", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-fb2d2fec81d68e45a6a2\", \"input\": \"dataset/html/liveweb-ie-fb2d2fec81d68e45a6a2.html\", \"input_sha256\": \"dcd1585908f163306cd659a7fc86d7fafbd14a6dc78f903e18e1c7680fe5a2c0\", \"original_reference\": {\"year\": [\"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1990\", \"1991\", \"1991\", \"1991\", \"1991\"]}, \"qualification\": {\"input_sha256\": \"dcd1585908f163306cd659a7fc86d7fafbd14a6dc78f903e18e1c7680fe5a2c0\", \"observed_at\": \"2026-11-06T10:07:58Z\", \"reference_sha256\": \"d34db930a93e9a1df2b5f9b6d910c9d5dd1e0c7987337e04db0753435411f91c\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=1\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Return the whole set of years\", \"schema\": {\"properties\": {\"year\": {\"description\": \"Return the whole set of years; target attribute: year\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"year\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"year\": {\"1990\": 21, \"1991\": 4}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=1\", \"value_kinds\": {}, \"values\": {\"year\": [\"1990\", \"1991\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-b3e6307efd3ad2c94ded", "input": "https://www.thecocktaildb.com/drink/11368-flying-dutchman", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-b3e6307efd3ad2c94ded\", \"input\": \"dataset/html/liveweb-ie-b3e6307efd3ad2c94ded.html\", \"input_sha256\": \"bb9ed87728ac1304777ece229d63bce937276ad2a18ed7769ab527512620ca0c\", \"original_reference\": {\"cocktail\": [\"Flying Dutchman\"]}, \"qualification\": {\"input_sha256\": \"bb9ed87728ac1304777ece229d63bce937276ad2a18ed7769ab527512620ca0c\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"a2eb3eb1c7205cf9ee9522000ddb18f80ae72ceaeaafb4fb5dec332e6c081abe\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/drink/11368-flying-dutchman\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the name of the drink\", \"schema\": {\"properties\": {\"cocktail\": {\"description\": \"Extract the name of the drink; target attribute: cocktail\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"cocktail\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"cocktail\": {\"Flying Dutchman\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/drink/11368-flying-dutchman\", \"value_kinds\": {}, \"values\": {\"cocktail\": [\"Flying Dutchman\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-6bb3cde44ae2f4170174", "input": "https://www.themealdb.com/meal/53086-migas-recipe", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-6bb3cde44ae2f4170174\", \"input\": \"dataset/html/liveweb-ie-6bb3cde44ae2f4170174.html\", \"input_sha256\": \"990cadce40374692ed30df8a314cf7ef333eeaf67671841c3e9543c5ade669f4\", \"original_reference\": {\"ingredient\": [\"1 large Bread\", \"1 1/2 L  Olive Oil\", \"Half Garlic\", \"1 Handfull Pork\"], \"ingredient_image\": [\"../images/ingredients/Bread-medium.png\", \"../images/ingredients/Olive_Oil-medium.png\", \"../images/ingredients/Garlic-medium.png\", \"../images/ingredients/Pork-medium.png\"], \"ingredient_link\": [\"/ingredient/35-bread\", \"/ingredient/224-olive-oil\", \"/ingredient/149-garlic\", \"/ingredient/4-pork\"]}, \"qualification\": {\"input_sha256\": \"990cadce40374692ed30df8a314cf7ef333eeaf67671841c3e9543c5ade669f4\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"b799f1f06b4c05d85b82d7275be2cb61e91fde40d8c0a868caba3f185920975b\", \"source_supported_corrections\": [{\"accepted\": \"1 1/2 L Olive Oil\", \"field\": \"ingredient\", \"original\": \"1 1/2 L  Olive Oil\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"990cadce40374692ed30df8a314cf7ef333eeaf67671841c3e9543c5ade669f4\"}], \"source_url\": \"https://www.themealdb.com/meal/53086-migas-recipe\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_image\": {\"description\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_link\": {\"description\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient_link\", \"ingredient\", \"ingredient_image\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"ingredient\": {\"1 1/2 L Olive Oil\": 1, \"1 Handfull Pork\": 1, \"1 large Bread\": 1, \"Half Garlic\": 1}, \"ingredient_image\": {\"../images/ingredients/Bread-medium.png\": 1, \"../images/ingredients/Garlic-medium.png\": 1, \"../images/ingredients/Olive_Oil-medium.png\": 1, \"../images/ingredients/Pork-medium.png\": 1}, \"ingredient_link\": {\"/ingredient/149-garlic\": 1, \"/ingredient/224-olive-oil\": 1, \"/ingredient/35-bread\": 1, \"/ingredient/4-pork\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/meal/53086-migas-recipe\", \"value_kinds\": {\"ingredient_image\": \"url\", \"ingredient_link\": \"url\"}, \"values\": {\"ingredient\": [\"1 large Bread\", \"1 1/2 L Olive Oil\", \"Half Garlic\", \"1 Handfull Pork\"], \"ingredient_image\": [\"../images/ingredients/Bread-medium.png\", \"../images/ingredients/Olive_Oil-medium.png\", \"../images/ingredients/Garlic-medium.png\", \"../images/ingredients/Pork-medium.png\"], \"ingredient_link\": [\"/ingredient/35-bread\", \"/ingredient/224-olive-oil\", \"/ingredient/149-garlic\", \"/ingredient/4-pork\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-b558160b75b0373f38ee", "input": "https://www.thesportsdb.com/player/34199300-amandine-henry", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-b558160b75b0373f38ee\", \"input\": \"dataset/html/liveweb-ie-b558160b75b0373f38ee.html\", \"input_sha256\": \"6f48a7e255fbac201837f7c72a70aaf1f11c08a05cc3741b26c7bc3c08f99e91\", \"original_reference\": {\"profile_link\": [\"/player/34199300-amandine-henry\"], \"thumb_image\": [\"https://r2.thesportsdb.com/images/media/player/thumb/prtylw1654898160.jpg/medium\"]}, \"qualification\": {\"input_sha256\": \"6f48a7e255fbac201837f7c72a70aaf1f11c08a05cc3741b26c7bc3c08f99e91\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"ce62e5cbbd1ceb49f4ea6d0c96214ced32af8430d17d3cb1d758fec3ac4a9bbd\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/player/34199300-amandine-henry\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the profile link of the player along with their thumbnail image.\", \"schema\": {\"properties\": {\"profile_link\": {\"description\": \"Retrieve the profile link of the player along with their thumbnail image.; target attribute: profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"thumb_image\": {\"description\": \"Retrieve the profile link of the player along with their thumbnail image.; target attribute: thumb_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"profile_link\", \"thumb_image\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"profile_link\": {\"/player/34199300-amandine-henry\": 1}, \"thumb_image\": {\"https://r2.thesportsdb.com/images/media/player/thumb/prtylw1654898160.jpg/medium\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/player/34199300-amandine-henry\", \"value_kinds\": {\"profile_link\": \"url\", \"thumb_image\": \"url\"}, \"values\": {\"profile_link\": [\"/player/34199300-amandine-henry\"], \"thumb_image\": [\"https://r2.thesportsdb.com/images/media/player/thumb/prtylw1654898160.jpg/medium\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-11738e5eac9e179597e1", "input": "https://arxiv.org/abs/2401.03523", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-11738e5eac9e179597e1\", \"input\": \"dataset/html/liveweb-ie-11738e5eac9e179597e1.html\", \"input_sha256\": \"2ebad214ac485ae04cbe059aff0a82a5832738452382a7547c3fe7c17564e29a\", \"original_reference\": {\"title\": [\"Characterizing Physical Memory Fragmentation\"]}, \"qualification\": {\"input_sha256\": \"2ebad214ac485ae04cbe059aff0a82a5832738452382a7547c3fe7c17564e29a\", \"observed_at\": \"2026-11-06T10:07:05Z\", \"reference_sha256\": \"43c966eaa07ca523e007fa17aabe2a35ce6c0e0adc1478946444aae40c89de7d\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.03523\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title of the paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"title\": {\"Characterizing Physical Memory Fragmentation\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.03523\", \"value_kinds\": {}, \"values\": {\"title\": [\"Characterizing Physical Memory Fragmentation\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2392f0a746b82a448b7a", "input": "https://books.toscrape.com/catalogue/saga-volume-5-saga-collected-editions-5_923/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-2392f0a746b82a448b7a\", \"input\": \"dataset/html/liveweb-ie-2392f0a746b82a448b7a.html\", \"input_sha256\": \"dfba72707203ec96122e9e4bcd063cbfda96bc635f5121f2338522d06fc98822\", \"original_reference\": {\"title\": [\"Saga, Volume 5 (Saga (Collected Editions) #5)\"]}, \"qualification\": {\"input_sha256\": \"dfba72707203ec96122e9e4bcd063cbfda96bc635f5121f2338522d06fc98822\", \"observed_at\": \"2026-11-06T10:08:13Z\", \"reference_sha256\": \"303cb4f1a36319bdfcc4421a4bf6d4014e99fc699c8384930248f45cf87bb05c\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/saga-volume-5-saga-collected-editions-5_923/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title of the book\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title of the book; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"title\": {\"Saga, Volume 5 (Saga (Collected Editions) #5)\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/saga-volume-5-saga-collected-editions-5_923/index.html\", \"value_kinds\": {}, \"values\": {\"title\": [\"Saga, Volume 5 (Saga (Collected Editions) #5)\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-98a1b8d09ecbb40d6aaf", "input": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47016", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-98a1b8d09ecbb40d6aaf\", \"input\": \"dataset/html/liveweb-ie-98a1b8d09ecbb40d6aaf.html\", \"input_sha256\": \"b265c9756e7cbc2a13a52a7067fb9345eb425e987b49493de5ba5330fa69237e\", \"original_reference\": {\"tank_size\": [\"16.9 gallons\"], \"vehicle\": [\"2024 Porsche 911 GT3 Touring\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_GT3_Touring.jpg\"]}, \"qualification\": {\"input_sha256\": \"b265c9756e7cbc2a13a52a7067fb9345eb425e987b49493de5ba5330fa69237e\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"f9ffec58cf26401e3f3a86477b0035703ff7aafd1a0f80bf7691930d04f68db0\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47016\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the vehicle's full name along with its photo and tank size\", \"schema\": {\"properties\": {\"tank_size\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: tank_size\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: vehicle\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_image\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle\", \"vehicle_image\", \"tank_size\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"tank_size\": {\"16.9 gallons\": 1}, \"vehicle\": {\"2024 Porsche 911 GT3 Touring\": 1}, \"vehicle_image\": {\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_GT3_Touring.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47016\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"tank_size\": [\"16.9 gallons\"], \"vehicle\": [\"2024 Porsche 911 GT3 Touring\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_GT3_Touring.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-cd6355a947941c4a1a9d", "input": "https://huggingface.co/papers/date/2024-07-11", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-cd6355a947941c4a1a9d\", \"input\": \"dataset/html/liveweb-ie-cd6355a947941c4a1a9d.html\", \"input_sha256\": \"aa932aee7e6352fe3c435d07360e7a6563658553a614c4f3978938f82b33da4f\", \"original_reference\": {\"paper_link\": [\"/papers/2407.07726\", \"/papers/2407.07304\", \"/papers/2407.07895\", \"/papers/2407.07860\", \"/papers/2407.07464\", \"/papers/2407.07667\", \"/papers/2407.08674\", \"/papers/2302.06555\", \"/papers/2407.07315\", \"/papers/2407.07565\", \"/papers/2407.05530\", \"/papers/2407.05528\", \"/papers/2407.07788\", \"/papers/2407.06188\"]}, \"qualification\": {\"input_sha256\": \"aa932aee7e6352fe3c435d07360e7a6563658553a614c4f3978938f82b33da4f\", \"observed_at\": \"2026-11-06T10:07:37Z\", \"reference_sha256\": \"a115ebe6f550605abbe1b701fa0143a0ef92150617c10c2d420cc41e564b8d8f\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/date/2024-07-11\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please extract all paper links.\", \"schema\": {\"properties\": {\"paper_link\": {\"description\": \"Please extract all paper links.; target attribute: paper_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"paper_link\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"paper_link\": {\"/papers/2302.06555\": 1, \"/papers/2407.05528\": 1, \"/papers/2407.05530\": 1, \"/papers/2407.06188\": 1, \"/papers/2407.07304\": 1, \"/papers/2407.07315\": 1, \"/papers/2407.07464\": 1, \"/papers/2407.07565\": 1, \"/papers/2407.07667\": 1, \"/papers/2407.07726\": 1, \"/papers/2407.07788\": 1, \"/papers/2407.07860\": 1, \"/papers/2407.07895\": 1, \"/papers/2407.08674\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/date/2024-07-11\", \"value_kinds\": {\"paper_link\": \"url\"}, \"values\": {\"paper_link\": [\"/papers/2407.07726\", \"/papers/2407.07304\", \"/papers/2407.07895\", \"/papers/2407.07860\", \"/papers/2407.07464\", \"/papers/2407.07667\", \"/papers/2407.08674\", \"/papers/2302.06555\", \"/papers/2407.07315\", \"/papers/2407.07565\", \"/papers/2407.05530\", \"/papers/2407.05528\", \"/papers/2407.07788\", \"/papers/2407.06188\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ed89301ca4696702d952", "input": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=document", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-ed89301ca4696702d952\", \"input\": \"dataset/html/liveweb-ie-ed89301ca4696702d952.html\", \"input_sha256\": \"20b439f1ffeecc1e2efd828b3698d719caf85d851fe5bcbeb9cfba66554485a1\", \"original_reference\": {\"title\": [\"Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information\", \"Contextual Document Embeddings\", \"BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks\", \"SV-RAG: LoRA-Contextualizing Adaptation of  MLLMs for Long Document Understanding\", \"NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens\", \"DocMIA: Document-Level Membership Inference Attacks against DocVQA Models\", \"DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory\", \"TeaserGen: Generating Teasers for Long Documentaries\", \"Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents\", \"VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents\", \"Graph-based Document Structure Analysis\", \"ColPali: Efficient Document Retrieval with Vision Language Models\"]}, \"qualification\": {\"input_sha256\": \"20b439f1ffeecc1e2efd828b3698d719caf85d851fe5bcbeb9cfba66554485a1\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"052c944c99bf43c9009601754ce741b8b3e1a0bcb037ecfda3ca33cccc853609\", \"source_supported_corrections\": [{\"accepted\": \"SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding\", \"field\": \"title\", \"original\": \"SV-RAG: LoRA-Contextualizing Adaptation of  MLLMs for Long Document Understanding\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"20b439f1ffeecc1e2efd828b3698d719caf85d851fe5bcbeb9cfba66554485a1\"}], \"source_url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=document\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all paper titles.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract all paper titles.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks\": 1, \"ColPali: Efficient Document Retrieval with Vision Language Models\": 1, \"Contextual Document Embeddings\": 1, \"DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory\": 1, \"DocMIA: Document-Level Membership Inference Attacks against DocVQA Models\": 1, \"Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information\": 1, \"Graph-based Document Structure Analysis\": 1, \"NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens\": 1, \"Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents\": 1, \"SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding\": 1, \"TeaserGen: Generating Teasers for Long Documentaries\": 1, \"VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=document\", \"value_kinds\": {}, \"values\": {\"title\": [\"Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information\", \"Contextual Document Embeddings\", \"BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks\", \"SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding\", \"NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens\", \"DocMIA: Document-Level Membership Inference Attacks against DocVQA Models\", \"DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory\", \"TeaserGen: Generating Teasers for Long Documentaries\", \"Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents\", \"VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents\", \"Graph-based Document Structure Analysis\", \"ColPali: Efficient Document Retrieval with Vision Language Models\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ad9cf95af9e3fe713a41", "input": "https://icml.cc/virtual/2025/papers.html?filter=title&search=editing", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-ad9cf95af9e3fe713a41\", \"input\": \"dataset/html/liveweb-ie-ad9cf95af9e3fe713a41.html\", \"input_sha256\": \"50f266fe3e3573ef0681f5e13811f26ead959457d9c88bce4c1ebae6d93a2f59\", \"original_reference\": {\"title\": [\"Joint Localization and Activation Editing for Low-Resource Fine-Tuning\", \"FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields\", \"ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding\", \"Towards Lifelong Model Editing via Simulating Ideal Editor\", \"Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing\", \"Taming Rectified Flow for Inversion and Editing\", \"BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing\", \"Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization\", \"DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model\", \"LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos\", \"Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing\", \"CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing\", \"FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing\", \"Rethinking Score Distilling Sampling for 3D Editing and Generation\", \"Resolving Lexical Bias in Model Editing\", \"WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs\", \"Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing\", \"Reinforced Lifelong Editing for Language Models\", \"Position: Editing Large Language Models Poses Serious Safety Risks\", \"EditLord: Learning Code Transformation Rules for Code Editing\", \"Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing\"]}, \"qualification\": {\"input_sha256\": \"50f266fe3e3573ef0681f5e13811f26ead959457d9c88bce4c1ebae6d93a2f59\", \"observed_at\": \"2026-11-06T10:07:23Z\", \"reference_sha256\": \"ace3f9e19b24ab497303f7ec5d1d18437d0465b493959a60789f5cf93451c383\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=editing\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every paper title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve every paper title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing\": 1, \"Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing\": 1, \"CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing\": 1, \"DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model\": 1, \"EditLord: Learning Code Transformation Rules for Code Editing\": 1, \"FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing\": 1, \"FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields\": 1, \"Joint Localization and Activation Editing for Low-Resource Fine-Tuning\": 1, \"LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos\": 1, \"Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing\": 1, \"Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization\": 1, \"Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing\": 1, \"Position: Editing Large Language Models Poses Serious Safety Risks\": 1, \"ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding\": 1, \"Reinforced Lifelong Editing for Language Models\": 1, \"Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing\": 1, \"Resolving Lexical Bias in Model Editing\": 1, \"Rethinking Score Distilling Sampling for 3D Editing and Generation\": 1, \"Taming Rectified Flow for Inversion and Editing\": 1, \"Towards Lifelong Model Editing via Simulating Ideal Editor\": 1, \"WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=editing\", \"value_kinds\": {}, \"values\": {\"title\": [\"Joint Localization and Activation Editing for Low-Resource Fine-Tuning\", \"FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields\", \"ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding\", \"Towards Lifelong Model Editing via Simulating Ideal Editor\", \"Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing\", \"Taming Rectified Flow for Inversion and Editing\", \"BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing\", \"Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization\", \"DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model\", \"LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos\", \"Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing\", \"CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing\", \"FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing\", \"Rethinking Score Distilling Sampling for 3D Editing and Generation\", \"Resolving Lexical Bias in Model Editing\", \"WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs\", \"Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing\", \"Reinforced Lifelong Editing for Language Models\", \"Position: Editing Large Language Models Poses Serious Safety Risks\", \"EditLord: Learning Code Transformation Rules for Code Editing\", \"Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-0f4a4184f4b62fb58b92", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=113267", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-0f4a4184f4b62fb58b92\", \"input\": \"dataset/html/liveweb-ie-0f4a4184f4b62fb58b92.html\", \"input_sha256\": \"02acbf366084b736f27824edfd6c028e132c6a1e765459db3bdd532e1776928e\", \"original_reference\": {\"photo_title\": [\"Echiurus echiurus (Pallas, 1766)\"], \"species_link\": [\"photogallery.php?album=2509\"]}, \"qualification\": {\"input_sha256\": \"02acbf366084b736f27824edfd6c028e132c6a1e765459db3bdd532e1776928e\", \"observed_at\": \"2026-11-06T10:07:29Z\", \"reference_sha256\": \"cae88fe4aa96efa59d01cd4997ec753d223e7f4483375b8b35e80cf252acc876\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=113267\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title of the photo and the link of this species.\", \"schema\": {\"properties\": {\"photo_title\": {\"description\": \"Extract the title of the photo and the link of this species.; target attribute: photo_title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species_link\": {\"description\": \"Extract the title of the photo and the link of this species.; target attribute: species_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"photo_title\", \"species_link\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"photo_title\": {\"Echiurus echiurus (Pallas, 1766)\": 1}, \"species_link\": {\"photogallery.php?album=2509\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=113267\", \"value_kinds\": {\"species_link\": \"url\"}, \"values\": {\"photo_title\": [\"Echiurus echiurus (Pallas, 1766)\"], \"species_link\": [\"photogallery.php?album=2509\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d4411e5105685b1cdb51", "input": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=vlm", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-d4411e5105685b1cdb51\", \"input\": \"dataset/html/liveweb-ie-d4411e5105685b1cdb51.html\", \"input_sha256\": \"72e2283386f40eaa27bb47299c4262e9f6264558bb846aa5471c14c53c95a327\", \"original_reference\": {\"title\": [\"CogVLM: Visual Expert for Pretrained Language Models\", \"EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection\", \"MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs\", \"VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions\", \"VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought\", \"VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images\", \"Right this way: Can VLMs Guide Us to See More to Answer Questions?\", \"Slot-VLM: Object-Event Slots for Video-Language Modeling\", \"Q-VLM: Post-training Quantization for Large Vision-Language Models\", \"SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge\", \"T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition\", \"ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs\", \"BendVLM: Test-Time Debiasing of Vision-Language Embeddings\", \"Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs\"]}, \"qualification\": {\"input_sha256\": \"72e2283386f40eaa27bb47299c4262e9f6264558bb846aa5471c14c53c95a327\", \"observed_at\": \"2026-11-06T10:07:16Z\", \"reference_sha256\": \"4c067f2b85a738bcd41c334b9b528ce96aaf01e08c153bf62dd2f444fdfffedd\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=vlm\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the titles of every paper on this page\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the titles of every paper on this page; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"BendVLM: Test-Time Debiasing of Vision-Language Embeddings\": 1, \"CogVLM: Visual Expert for Pretrained Language Models\": 1, \"ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs\": 1, \"EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection\": 1, \"MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs\": 1, \"Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs\": 1, \"Q-VLM: Post-training Quantization for Large Vision-Language Models\": 1, \"Right this way: Can VLMs Guide Us to See More to Answer Questions?\": 1, \"SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge\": 1, \"Slot-VLM: Object-Event Slots for Video-Language Modeling\": 1, \"T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition\": 1, \"VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought\": 1, \"VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images\": 1, \"VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=vlm\", \"value_kinds\": {}, \"values\": {\"title\": [\"CogVLM: Visual Expert for Pretrained Language Models\", \"EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection\", \"MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs\", \"VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions\", \"VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought\", \"VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images\", \"Right this way: Can VLMs Guide Us to See More to Answer Questions?\", \"Slot-VLM: Object-Event Slots for Video-Language Modeling\", \"Q-VLM: Post-training Quantization for Large Vision-Language Models\", \"SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge\", \"T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition\", \"ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs\", \"BendVLM: Test-Time Debiasing of Vision-Language Embeddings\", \"Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-c659d82c2b866ca77521", "input": "http://quotes.toscrape.com/author/John-Lennon", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-c659d82c2b866ca77521\", \"input\": \"dataset/html/liveweb-ie-c659d82c2b866ca77521.html\", \"input_sha256\": \"c9939164e5726491c74e3c3f0f1e3c00d55ab77f2ce4e3c74fcad1664eed62b6\", \"original_reference\": {\"birth\": [\"October 09, 1940\"]}, \"qualification\": {\"input_sha256\": \"c9939164e5726491c74e3c3f0f1e3c00d55ab77f2ce4e3c74fcad1664eed62b6\", \"observed_at\": \"2026-11-06T10:08:09Z\", \"reference_sha256\": \"65db0c73e8a023dd8cc0a7a0f79f0bba7735c45bb9c4944462a2b1b457c2cacf\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/author/John-Lennon\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Collect the author's born details\", \"schema\": {\"properties\": {\"birth\": {\"description\": \"Collect the author's born details; target attribute: birth\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"birth\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"birth\": {\"October 09, 1940\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/author/John-Lennon\", \"value_kinds\": {}, \"values\": {\"birth\": [\"October 09, 1940\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2299149f75d52b81b134", "input": "https://sandbox.oxylabs.io/products/490", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-2299149f75d52b81b134\", \"input\": \"dataset/html/liveweb-ie-2299149f75d52b81b134.html\", \"input_sha256\": \"2e2446f7878dec61920aea14434a85072fdd3801a0911b8253096b7f56d4bfdb\", \"original_reference\": {\"image\": [\"/assets/role-playing.svg\"], \"platform\": [\"pc\"]}, \"qualification\": {\"input_sha256\": \"2e2446f7878dec61920aea14434a85072fdd3801a0911b8253096b7f56d4bfdb\", \"observed_at\": \"2026-11-06T10:08:04Z\", \"reference_sha256\": \"ba748f0b75acef82b1d98c252403132c0c2890521e86a3d2402812d9dacdb6af\", \"source_supported_corrections\": [{\"accepted\": \"Pc\", \"field\": \"platform\", \"original\": \"pc\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"2e2446f7878dec61920aea14434a85072fdd3801a0911b8253096b7f56d4bfdb\"}], \"source_url\": \"https://sandbox.oxylabs.io/products/490\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve both the game image and game platform details.\", \"schema\": {\"properties\": {\"image\": {\"description\": \"Retrieve both the game image and game platform details.; target attribute: image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"platform\": {\"description\": \"Retrieve both the game image and game platform details.; target attribute: platform\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"image\", \"platform\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"image\": {\"/assets/role-playing.svg\": 1}, \"platform\": {\"Pc\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/490\", \"value_kinds\": {\"image\": \"url\"}, \"values\": {\"image\": [\"/assets/role-playing.svg\"], \"platform\": [\"Pc\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-62d73af2c72a38c59459", "input": "https://www.scrapethissite.com/pages/forms/?page_num=2", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-62d73af2c72a38c59459\", \"input\": \"dataset/html/liveweb-ie-62d73af2c72a38c59459.html\", \"input_sha256\": \"9fcd5323913a1481a0503140a5aed4148f669aa74432977023a86869bc1c2a37\", \"original_reference\": {\"wins\": [\"43\", \"36\", \"26\", \"35\", \"32\", \"41\", \"38\", \"34\", \"50\", \"32\", \"39\", \"20\", \"17\", \"36\", \"30\", \"42\", \"45\", \"33\", \"51\", \"38\", \"43\", \"47\", \"47\", \"26\", \"26\"]}, \"qualification\": {\"input_sha256\": \"9fcd5323913a1481a0503140a5aed4148f669aa74432977023a86869bc1c2a37\", \"observed_at\": \"2026-11-06T10:07:58Z\", \"reference_sha256\": \"2eb89087979b7a81839d5b8248ca74ec85e0cc89e0a0ea5290517930e279d9dc\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=2\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"List the total wins for every hockey team.\", \"schema\": {\"properties\": {\"wins\": {\"description\": \"List the total wins for every hockey team.; target attribute: wins\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"wins\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"wins\": {\"17\": 1, \"20\": 1, \"26\": 3, \"30\": 1, \"32\": 2, \"33\": 1, \"34\": 1, \"35\": 1, \"36\": 2, \"38\": 2, \"39\": 1, \"41\": 1, \"42\": 1, \"43\": 2, \"45\": 1, \"47\": 2, \"50\": 1, \"51\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=2\", \"value_kinds\": {}, \"values\": {\"wins\": [\"43\", \"36\", \"26\", \"35\", \"32\", \"41\", \"38\", \"34\", \"50\", \"39\", \"20\", \"17\", \"30\", \"42\", \"45\", \"33\", \"51\", \"47\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ff1e28fec2d64cb147fc", "input": "https://www.thecocktaildb.com/browse/letter/t", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-ff1e28fec2d64cb147fc\", \"input\": \"dataset/html/liveweb-ie-ff1e28fec2d64cb147fc.html\", \"input_sha256\": \"f567d1c647ce0ee8cc2268f53f503c391c1a3a09072426ca3cdb2157cb10fd92\", \"original_reference\": {\"cocktail\": [\"Talos Coffee\", \"Tennesee Mud\", \"Tequila Fizz\", \"Tequila Slammer\", \"Tequila Sour\", \"Tequila Sunrise\", \"Tequila Surprise\", \"Texas Rattlesnake\", \"Texas Sling\", \"Thai Coffee\", \"Thai Iced Coffee\", \"Thai Iced Tea\", \"The Evil Blue Thing\", \"The Galah\", \"The Jimmy Conway\", \"The Last Word\", \"The Laverstoke\", \"The Philosopher\", \"The Strange Weaver\", \"Thriller\", \"Tia-Maria\", \"Tipperary\", \"Tom Collins\", \"Tomato Tang\", \"Tommy's Margarita\", \"Turf Cocktail\", \"Turkeyball\", \"Tuxedo Cocktail\"]}, \"qualification\": {\"input_sha256\": \"f567d1c647ce0ee8cc2268f53f503c391c1a3a09072426ca3cdb2157cb10fd92\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"250eb25e0d011095d07bbac396de379cd7c958e2cdbcf39577750d1faea8c59b\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/browse/letter/t\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the list of every drink's name\", \"schema\": {\"properties\": {\"cocktail\": {\"description\": \"Fetch the list of every drink's name; target attribute: cocktail\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"cocktail\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"cocktail\": {\"Talos Coffee\": 1, \"Tennesee Mud\": 1, \"Tequila Fizz\": 1, \"Tequila Slammer\": 1, \"Tequila Sour\": 1, \"Tequila Sunrise\": 1, \"Tequila Surprise\": 1, \"Texas Rattlesnake\": 1, \"Texas Sling\": 1, \"Thai Coffee\": 1, \"Thai Iced Coffee\": 1, \"Thai Iced Tea\": 1, \"The Evil Blue Thing\": 1, \"The Galah\": 1, \"The Jimmy Conway\": 1, \"The Last Word\": 1, \"The Laverstoke\": 1, \"The Philosopher\": 1, \"The Strange Weaver\": 1, \"Thriller\": 1, \"Tia-Maria\": 1, \"Tipperary\": 1, \"Tom Collins\": 1, \"Tomato Tang\": 1, \"Tommy's Margarita\": 1, \"Turf Cocktail\": 1, \"Turkeyball\": 1, \"Tuxedo Cocktail\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/browse/letter/t\", \"value_kinds\": {}, \"values\": {\"cocktail\": [\"Talos Coffee\", \"Tennesee Mud\", \"Tequila Fizz\", \"Tequila Slammer\", \"Tequila Sour\", \"Tequila Sunrise\", \"Tequila Surprise\", \"Texas Rattlesnake\", \"Texas Sling\", \"Thai Coffee\", \"Thai Iced Coffee\", \"Thai Iced Tea\", \"The Evil Blue Thing\", \"The Galah\", \"The Jimmy Conway\", \"The Last Word\", \"The Laverstoke\", \"The Philosopher\", \"The Strange Weaver\", \"Thriller\", \"Tia-Maria\", \"Tipperary\", \"Tom Collins\", \"Tomato Tang\", \"Tommy's Margarita\", \"Turf Cocktail\", \"Turkeyball\", \"Tuxedo Cocktail\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-e56538f2016bf30b7780", "input": "https://www.themealdb.com/browse/letter/h", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-e56538f2016bf30b7780\", \"input\": \"dataset/html/liveweb-ie-e56538f2016bf30b7780.html\", \"input_sha256\": \"8d94f8b69a219a234762999801bb9aff156e94a0fbb367b6db61b364f6ef9e3c\", \"original_reference\": {\"meal_link\": [\"/meal/52773-honey-teriyaki-salmon-recipe\", \"/meal/52787-hot-chocolate-fudge-recipe\", \"/meal/52954-hot-and-sour-soup-recipe\", \"/meal/52967-home-made-mandazi-recipe\", \"/meal/52993-honey-balsamic-chicken-with-crispy-broccoli-&-potatoes-recipe\", \"/meal/53007-honey-yogurt-cheesecake-recipe\", \"/meal/53035-ham-hock-colcannon-recipe\"]}, \"qualification\": {\"input_sha256\": \"8d94f8b69a219a234762999801bb9aff156e94a0fbb367b6db61b364f6ef9e3c\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"b81f91f8ac84eeb7874873000b405cfc79440eccb78efd02fd28644bbfaae869\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/browse/letter/h\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"List every food with its detail link\", \"schema\": {\"properties\": {\"meal_link\": {\"description\": \"List every food with its detail link; target attribute: meal_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"meal_link\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"meal_link\": {\"/meal/52773-honey-teriyaki-salmon-recipe\": 1, \"/meal/52787-hot-chocolate-fudge-recipe\": 1, \"/meal/52954-hot-and-sour-soup-recipe\": 1, \"/meal/52967-home-made-mandazi-recipe\": 1, \"/meal/52993-honey-balsamic-chicken-with-crispy-broccoli-&-potatoes-recipe\": 1, \"/meal/53007-honey-yogurt-cheesecake-recipe\": 1, \"/meal/53035-ham-hock-colcannon-recipe\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/browse/letter/h\", \"value_kinds\": {\"meal_link\": \"url\"}, \"values\": {\"meal_link\": [\"/meal/52773-honey-teriyaki-salmon-recipe\", \"/meal/52787-hot-chocolate-fudge-recipe\", \"/meal/52954-hot-and-sour-soup-recipe\", \"/meal/52967-home-made-mandazi-recipe\", \"/meal/52993-honey-balsamic-chicken-with-crispy-broccoli-&-potatoes-recipe\", \"/meal/53007-honey-yogurt-cheesecake-recipe\", \"/meal/53035-ham-hock-colcannon-recipe\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-46f7b0ffa7764c248066", "input": "https://www.thesportsdb.com/league/4427-can-am", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-46f7b0ffa7764c248066\", \"input\": \"dataset/html/liveweb-ie-46f7b0ffa7764c248066.html\", \"input_sha256\": \"8365e0ea288dfba5767ea3fa504d9cad9a609eba91c0d1b84222b67d44418b60\", \"original_reference\": {\"league_link\": [\"/league/4427-can-am\"]}, \"qualification\": {\"input_sha256\": \"8365e0ea288dfba5767ea3fa504d9cad9a609eba91c0d1b84222b67d44418b60\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"826835a103a64e395696e06bf861f5f68b3ac06ffcf6376b2ea64207046e8fc6\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/league/4427-can-am\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the name link of the league\", \"schema\": {\"properties\": {\"league_link\": {\"description\": \"Retrieve the name link of the league; target attribute: league_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"league_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"league_link\": {\"/league/4427-can-am\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/league/4427-can-am\", \"value_kinds\": {\"league_link\": \"url\"}, \"values\": {\"league_link\": [\"/league/4427-can-am\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-fbf2c8063b2fca77c4d9", "input": "https://books.toscrape.com/catalogue/category/books/business_35/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-fbf2c8063b2fca77c4d9\", \"input\": \"dataset/html/liveweb-ie-fbf2c8063b2fca77c4d9.html\", \"input_sha256\": \"b827088e5ad5bca17e420923dd74c3e989b57c2b38b342177f31acfac19bf167\", \"original_reference\": {\"count\": [\"12\"]}, \"qualification\": {\"input_sha256\": \"b827088e5ad5bca17e420923dd74c3e989b57c2b38b342177f31acfac19bf167\", \"observed_at\": \"2026-11-06T10:08:14Z\", \"reference_sha256\": \"4a4f1c93b6b0a4e1cd9be208ca0bb7e24e131bf5277cf7f84700a66a91a26cb1\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/category/books/business_35/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Return the number of books\", \"schema\": {\"properties\": {\"count\": {\"description\": \"Return the number of books; target attribute: count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"count\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"count\": {\"12\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/category/books/business_35/index.html\", \"value_kinds\": {}, \"values\": {\"count\": [\"12\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-bcd20521ff092139a65f", "input": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=MINI&baseModel=Clubman&srchtyp=ymm&pageno=1&rowLimit=50", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-bcd20521ff092139a65f\", \"input\": \"dataset/html/liveweb-ie-bcd20521ff092139a65f.html\", \"input_sha256\": \"a8854669ecbfaa7a4b38e55e9e1b44e70a1eb3b19fd1bb5df76196a2aa2b8364\", \"original_reference\": {\"vehicle_image\": [\"/feg/photos/2022_MINI_Cooper_S_Clubman.jpg\", \"/feg/photos/2022_MINI_Cooper_S_Clubman_All4.jpg\", \"/feg/photos/2022_MINI_Cooper_S_Clubman.jpg\"]}, \"qualification\": {\"input_sha256\": \"a8854669ecbfaa7a4b38e55e9e1b44e70a1eb3b19fd1bb5df76196a2aa2b8364\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"4de96d7a08a757f11408f678c50212d5ab3e85c31b4bc217e4f4a587def12da8\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=MINI&baseModel=Clubman&srchtyp=ymm&pageno=1&rowLimit=50\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Present the collection of car thumbnails\", \"schema\": {\"properties\": {\"vehicle_image\": {\"description\": \"Present the collection of car thumbnails; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_image\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"vehicle_image\": {\"/feg/photos/2022_MINI_Cooper_S_Clubman.jpg\": 2, \"/feg/photos/2022_MINI_Cooper_S_Clubman_All4.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=MINI&baseModel=Clubman&srchtyp=ymm&pageno=1&rowLimit=50\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"vehicle_image\": [\"/feg/photos/2022_MINI_Cooper_S_Clubman.jpg\", \"/feg/photos/2022_MINI_Cooper_S_Clubman_All4.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-60e8977071c6297f6f4f", "input": "https://huggingface.co/papers/2408.15239", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-60e8977071c6297f6f4f\", \"input\": \"dataset/html/liveweb-ie-60e8977071c6297f6f4f.html\", \"input_sha256\": \"4f1b6ec53c207c96fc9562658135d1e0715af2e6cf9343fc9e4dd483031edc4f\", \"original_reference\": {\"source_link\": [\"https://arxiv.org/abs/2408.15239\"], \"title\": [\"Generative Inbetweening: Adapting Image-to-Video Models for Keyframe\"]}, \"qualification\": {\"input_sha256\": \"4f1b6ec53c207c96fc9562658135d1e0715af2e6cf9343fc9e4dd483031edc4f\", \"observed_at\": \"2026-11-06T10:07:37Z\", \"reference_sha256\": \"9ec49a05a21d37c17073fc765aebc002afe8aa779ab57e9a99b3b62410b9fed5\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/2408.15239\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title and arxiv link of the paper\", \"schema\": {\"properties\": {\"source_link\": {\"description\": \"Extract the title and arxiv link of the paper; target attribute: source_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Extract the title and arxiv link of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"source_link\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"source_link\": {\"https://arxiv.org/abs/2408.15239\": 1}, \"title\": {\"Generative Inbetweening: Adapting Image-to-Video Models for Keyframe\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/2408.15239\", \"value_kinds\": {\"source_link\": \"url\"}, \"values\": {\"source_link\": [\"https://arxiv.org/abs/2408.15239\"], \"title\": [\"Generative Inbetweening: Adapting Image-to-Video Models for Keyframe\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-9d9f5817a3a726ad46b9", "input": "https://iclr.cc/virtual/2025/poster/30318", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-9d9f5817a3a726ad46b9\", \"input\": \"dataset/html/liveweb-ie-9d9f5817a3a726ad46b9.html\", \"input_sha256\": \"98c0d0ee9c9a060734121ca2e7da821942e1c6193aaf3d185d91eab21cadfb0b\", \"original_reference\": {\"title\": [\"Graph-based Document Structure Analysis\"]}, \"qualification\": {\"input_sha256\": \"98c0d0ee9c9a060734121ca2e7da821942e1c6193aaf3d185d91eab21cadfb0b\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"b0ce8cd0a8282a8d74789dbf4a502bce38feae87dc614bd481a00551a57cdf3f\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/poster/30318\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the research paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the research paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"Graph-based Document Structure Analysis\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/poster/30318\", \"value_kinds\": {}, \"values\": {\"title\": [\"Graph-based Document Structure Analysis\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-3876765dad531b834e30", "input": "https://icml.cc/virtual/2025/poster/45419", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-3876765dad531b834e30\", \"input\": \"dataset/html/liveweb-ie-3876765dad531b834e30.html\", \"input_sha256\": \"ae7bb929f22f1e946bab977937023e02c74e5396815983ccd0242517f511ee5f\", \"original_reference\": {\"title\": [\"The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback\"]}, \"qualification\": {\"input_sha256\": \"ae7bb929f22f1e946bab977937023e02c74e5396815983ccd0242517f511ee5f\", \"observed_at\": \"2026-11-06T10:07:22Z\", \"reference_sha256\": \"a4dd8bab4c72736ba0469044b3fb019beaad306b5d55f740d6834519cf80d60f\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/poster/45419\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title for this paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title for this paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/poster/45419\", \"value_kinds\": {}, \"values\": {\"title\": [\"The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback\"]}}"}
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{"family": "structured-field-extraction", "id": "liveweb-ie-aa9aa78d97822d98818f", "input": "https://sandbox.oxylabs.io/products/category/nintendo/gamecube", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-aa9aa78d97822d98818f\", \"input\": \"dataset/html/liveweb-ie-aa9aa78d97822d98818f.html\", \"input_sha256\": \"eb84fa1b4f0ac0284f52789a5e71d8069eeac0797f4e10246920be3dedcaf5f3\", \"original_reference\": {\"game_count\": [\"58\"]}, \"qualification\": {\"input_sha256\": \"eb84fa1b4f0ac0284f52789a5e71d8069eeac0797f4e10246920be3dedcaf5f3\", \"observed_at\": \"2026-11-06T10:08:04Z\", \"reference_sha256\": \"8bb6c9ed1aec19787b97848fb0cba6e8201b37cc71ff1dc85ddfb5e51f333ad1\", \"source_supported_corrections\": [], \"source_url\": \"https://sandbox.oxylabs.io/products/category/nintendo/gamecube\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Identify how many games belong to the current platform\", \"schema\": {\"properties\": {\"game_count\": {\"description\": \"Identify how many games belong to the current platform; target attribute: game_count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"game_count\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"game_count\": {\"58\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/category/nintendo/gamecube\", \"value_kinds\": {}, \"values\": {\"game_count\": [\"58\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ef7b826c1e12909b13cc", "input": "https://www.scrapethissite.com/pages/forms/?page_num=15", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-ef7b826c1e12909b13cc\", \"input\": \"dataset/html/liveweb-ie-ef7b826c1e12909b13cc.html\", \"input_sha256\": \"741e8e37075e9da004c6b675a2deb89d4202cce97b9fbb58f617b2854fb8ff91\", \"original_reference\": {\"team\": [\"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\", \"Pittsburgh Penguins\", \"San Jose Sharks\", \"St. Louis Blues\", \"Tampa Bay Lightning\", \"Toronto Maple Leafs\", \"Vancouver Canucks\", \"Washington Capitals\", \"Mighty Ducks of Anaheim\", \"Atlanta Thrashers\", \"Boston Bruins\"], \"wins\": [\"40\", \"41\", \"48\", \"36\", \"28\", \"28\", \"30\", \"41\", \"38\", \"43\", \"38\", \"27\", \"43\", \"40\", \"22\", \"23\", \"43\", \"39\", \"46\", \"45\", \"43\", \"23\", \"43\", \"41\", \"29\"]}, \"qualification\": {\"input_sha256\": \"741e8e37075e9da004c6b675a2deb89d4202cce97b9fbb58f617b2854fb8ff91\", \"observed_at\": \"2026-11-06T10:07:58Z\", \"reference_sha256\": \"28abb0edf509e59e6b21c3c85b8ffc8aea040370c3c205c3bbd31d767052b78a\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=15\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Can you list all hockey team names and their wins\", \"schema\": {\"properties\": {\"team\": {\"description\": \"Can you list all hockey team names and their wins; target attribute: team\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"wins\": {\"description\": \"Can you list all hockey team names and their wins; target attribute: wins\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team\", \"wins\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"team\": {\"Atlanta Thrashers\": 1, \"Boston Bruins\": 1, \"Colorado Avalanche\": 1, \"Dallas Stars\": 1, \"Detroit Red Wings\": 1, \"Edmonton Oilers\": 1, \"Florida Panthers\": 1, \"Los Angeles Kings\": 1, \"Mighty Ducks of Anaheim\": 1, \"Minnesota Wild\": 1, \"Montreal Canadiens\": 1, \"Nashville Predators\": 1, \"New Jersey Devils\": 1, \"New York Islanders\": 1, \"New York Rangers\": 1, \"Ottawa Senators\": 1, \"Philadelphia Flyers\": 1, \"Phoenix Coyotes\": 1, \"Pittsburgh Penguins\": 1, \"San Jose Sharks\": 1, \"St. Louis Blues\": 1, \"Tampa Bay Lightning\": 1, \"Toronto Maple Leafs\": 1, \"Vancouver Canucks\": 1, \"Washington Capitals\": 1}, \"wins\": {\"22\": 1, \"23\": 2, \"27\": 1, \"28\": 2, \"29\": 1, \"30\": 1, \"36\": 1, \"38\": 2, \"39\": 1, \"40\": 2, \"41\": 3, \"43\": 5, \"45\": 1, \"46\": 1, \"48\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=15\", \"value_kinds\": {}, \"values\": {\"team\": [\"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\", \"Pittsburgh Penguins\", \"San Jose Sharks\", \"St. Louis Blues\", \"Tampa Bay Lightning\", \"Toronto Maple Leafs\", \"Vancouver Canucks\", \"Washington Capitals\", \"Mighty Ducks of Anaheim\", \"Atlanta Thrashers\", \"Boston Bruins\"], \"wins\": [\"40\", \"41\", \"48\", \"36\", \"28\", \"30\", \"38\", \"43\", \"27\", \"22\", \"23\", \"39\", \"46\", \"45\", \"29\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-933e1b04e271e81a5986", "input": "https://www.thecocktaildb.com/drink/178353-apple-highball", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-933e1b04e271e81a5986\", \"input\": \"dataset/html/liveweb-ie-933e1b04e271e81a5986.html\", \"input_sha256\": \"fb1b3de6a54fba01836c474657a09ff1b08dd74d4e279033c1007646cf5c32d5\", \"original_reference\": {\"ingredient\": [\"Chopped Lime\", \"1 shot Apple Schnapps\", \"1 shot Cognac\", \"Top Ginger\"], \"ingredient_image\": [\"../images/ingredients/lime-medium.png\", \"../images/ingredients/apple schnapps-medium.png\", \"../images/ingredients/cognac-medium.png\", \"../images/ingredients/ginger-medium.png\"], \"ingredient_link\": [\"/ingredient/312-lime\", \"/ingredient/29-apple-schnapps\", \"/ingredient/141-cognac\", \"/ingredient/230-ginger\"]}, \"qualification\": {\"input_sha256\": \"fb1b3de6a54fba01836c474657a09ff1b08dd74d4e279033c1007646cf5c32d5\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"ab938ff694ca14b5f2904c776da8268c3b773abb9173a5c26d0a73ab8e28e18d\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/drink/178353-apple-highball\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_image\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_link\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient\", \"ingredient_link\", \"ingredient_image\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"ingredient\": {\"1 shot Apple Schnapps\": 1, \"1 shot Cognac\": 1, \"Chopped Lime\": 1, \"Top Ginger\": 1}, \"ingredient_image\": {\"../images/ingredients/apple schnapps-medium.png\": 1, \"../images/ingredients/cognac-medium.png\": 1, \"../images/ingredients/ginger-medium.png\": 1, \"../images/ingredients/lime-medium.png\": 1}, \"ingredient_link\": {\"/ingredient/141-cognac\": 1, \"/ingredient/230-ginger\": 1, \"/ingredient/29-apple-schnapps\": 1, \"/ingredient/312-lime\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/drink/178353-apple-highball\", \"value_kinds\": {\"ingredient_image\": \"url\", \"ingredient_link\": \"url\"}, \"values\": {\"ingredient\": [\"Chopped Lime\", \"1 shot Apple Schnapps\", \"1 shot Cognac\", \"Top Ginger\"], \"ingredient_image\": [\"../images/ingredients/lime-medium.png\", \"../images/ingredients/apple schnapps-medium.png\", \"../images/ingredients/cognac-medium.png\", \"../images/ingredients/ginger-medium.png\"], \"ingredient_link\": [\"/ingredient/312-lime\", \"/ingredient/29-apple-schnapps\", \"/ingredient/141-cognac\", \"/ingredient/230-ginger\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-3ed7057cae00ba9f830b", "input": "https://www.themealdb.com/meal/52824-beef-sunday-roast-recipe", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-3ed7057cae00ba9f830b\", \"input\": \"dataset/html/liveweb-ie-3ed7057cae00ba9f830b.html\", \"input_sha256\": \"015d70af507603e4f9eb1c7fe98106e530b7fd72244f5ddfd39e3833b99cd6f3\", \"original_reference\": {\"ingredient\": [\"8 slices Beef\", \"12 florets Broccoli\", \"1 Packet Potatoes\", \"1 Packet Carrots\", \"140g plain flour\", \"4 Eggs\", \"200ml milk\", \"drizzle (for cooking) sunflower oil\"]}, \"qualification\": {\"input_sha256\": \"015d70af507603e4f9eb1c7fe98106e530b7fd72244f5ddfd39e3833b99cd6f3\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"8fb54955e1af7b564ce9c3f6f21527eb0bc55052d146bd623ee3d19bb3a70775\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/meal/52824-beef-sunday-roast-recipe\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please provide the ingredient names used in this food\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Please provide the ingredient names used in this food; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"ingredient\": {\"1 Packet Carrots\": 1, \"1 Packet Potatoes\": 1, \"12 florets Broccoli\": 1, \"140g plain flour\": 1, \"200ml milk\": 1, \"4 Eggs\": 1, \"8 slices Beef\": 1, \"drizzle (for cooking) sunflower oil\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/meal/52824-beef-sunday-roast-recipe\", \"value_kinds\": {}, \"values\": {\"ingredient\": [\"8 slices Beef\", \"12 florets Broccoli\", \"1 Packet Potatoes\", \"1 Packet Carrots\", \"140g plain flour\", \"4 Eggs\", \"200ml milk\", \"drizzle (for cooking) sunflower oil\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-bb3b3619a94eaeeb6529", "input": "https://www.thesportsdb.com/team/135269-chicago-cubs", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-bb3b3619a94eaeeb6529\", \"input\": \"dataset/html/liveweb-ie-bb3b3619a94eaeeb6529.html\", \"input_sha256\": \"72a3769904fd4627eefcabe4445aca8d2f7a5e76b2bb537e79595f8f323bbcff\", \"original_reference\": {\"team_link\": [\"/team/135269-chicago-cubs\"]}, \"qualification\": {\"input_sha256\": \"72a3769904fd4627eefcabe4445aca8d2f7a5e76b2bb537e79595f8f323bbcff\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"c7b9d63948d5de6ad66969c479b5dc6decd3bc901b25f44f97c4aa9431797883\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/team/135269-chicago-cubs\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Point me to the team's name link\", \"schema\": {\"properties\": {\"team_link\": {\"description\": \"Point me to the team's name link; target attribute: team_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"team_link\": {\"/team/135269-chicago-cubs\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/team/135269-chicago-cubs\", \"value_kinds\": {\"team_link\": \"url\"}, \"values\": {\"team_link\": [\"/team/135269-chicago-cubs\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ab368b653d5cf98028f0", "input": "https://arxiv.org/abs/2401.15870", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-ab368b653d5cf98028f0\", \"input\": \"dataset/html/liveweb-ie-ab368b653d5cf98028f0.html\", \"input_sha256\": \"0c7007e6985f6d0fb32759412f695bb4a9d320998ea7f06f097e324508c79d71\", \"original_reference\": {\"pdf_link\": [\"/pdf/2401.15870\"], \"title\": [\"DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs\"]}, \"qualification\": {\"input_sha256\": \"0c7007e6985f6d0fb32759412f695bb4a9d320998ea7f06f097e324508c79d71\", \"observed_at\": \"2026-11-06T10:07:05Z\", \"reference_sha256\": \"5cebeb5f3a43a42475a2e3054748890985029c87b4372550588af0980553ffe5\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.15870\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title and pdf links of the paper\", \"schema\": {\"properties\": {\"pdf_link\": {\"description\": \"Extract the title and pdf links of the paper; target attribute: pdf_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Extract the title and pdf links of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"pdf_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"pdf_link\": {\"/pdf/2401.15870\": 1}, \"title\": {\"DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.15870\", \"value_kinds\": {\"pdf_link\": \"url\"}, \"values\": {\"pdf_link\": [\"/pdf/2401.15870\"], \"title\": [\"DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-17613a65ba35fe8f1084", "input": "https://books.toscrape.com/catalogue/page-10.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-17613a65ba35fe8f1084\", \"input\": \"dataset/html/liveweb-ie-17613a65ba35fe8f1084.html\", \"input_sha256\": \"440514340b7de4042998b0553d1a9d94dd634e6232444aa116ef1e6ef9095163\", \"original_reference\": {\"book_link\": [\"modern-romance_820/index.html\", \"miss-peregrines-home-for-peculiar-children-miss-peregrines-peculiar-children-1_819/index.html\", \"louisa-the-extraordinary-life-of-mrs-adams_818/index.html\", \"little-red_817/index.html\", \"library-of-souls-miss-peregrines-peculiar-children-3_816/index.html\", \"large-print-heart-of-the-pride_815/index.html\", \"i-had-a-nice-time-and-other-lies-how-to-find-love-sht-like-that_814/index.html\", \"hollow-city-miss-peregrines-peculiar-children-2_813/index.html\", \"grumbles_812/index.html\", \"full-moon-over-noahs-ark-an-odyssey-to-mount-ararat-and-beyond_811/index.html\", \"frostbite-vampire-academy-2_810/index.html\", \"follow-you-home_809/index.html\", \"first-steps-for-new-christians-print-edition_808/index.html\", \"finders-keepers-bill-hodges-trilogy-2_807/index.html\", \"fables-vol-1-legends-in-exile-fables-1_806/index.html\", \"eureka-trivia-60_805/index.html\", \"drive-the-surprising-truth-about-what-motivates-us_804/index.html\", \"done-rubbed-out-reightman-bailey-1_803/index.html\", \"doing-it-over-most-likely-to-1_802/index.html\", \"deliciously-ella-every-day-quick-and-easy-recipes-for-gluten-free-snacks-packed-lunches-and-simple-meals_801/index.html\"]}, \"qualification\": {\"input_sha256\": \"440514340b7de4042998b0553d1a9d94dd634e6232444aa116ef1e6ef9095163\", \"observed_at\": \"2026-11-06T10:08:14Z\", \"reference_sha256\": \"cdad6fa50ed6eb45783597cee8b0dec34ef22b615f5e4adf5ff8140fe9ac225c\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/page-10.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all book links\", \"schema\": {\"properties\": {\"book_link\": {\"description\": \"Extract all book links; target attribute: book_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"book_link\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"book_link\": {\"deliciously-ella-every-day-quick-and-easy-recipes-for-gluten-free-snacks-packed-lunches-and-simple-meals_801/index.html\": 1, \"doing-it-over-most-likely-to-1_802/index.html\": 1, \"done-rubbed-out-reightman-bailey-1_803/index.html\": 1, \"drive-the-surprising-truth-about-what-motivates-us_804/index.html\": 1, \"eureka-trivia-60_805/index.html\": 1, \"fables-vol-1-legends-in-exile-fables-1_806/index.html\": 1, \"finders-keepers-bill-hodges-trilogy-2_807/index.html\": 1, \"first-steps-for-new-christians-print-edition_808/index.html\": 1, \"follow-you-home_809/index.html\": 1, \"frostbite-vampire-academy-2_810/index.html\": 1, \"full-moon-over-noahs-ark-an-odyssey-to-mount-ararat-and-beyond_811/index.html\": 1, \"grumbles_812/index.html\": 1, \"hollow-city-miss-peregrines-peculiar-children-2_813/index.html\": 1, \"i-had-a-nice-time-and-other-lies-how-to-find-love-sht-like-that_814/index.html\": 1, \"large-print-heart-of-the-pride_815/index.html\": 1, \"library-of-souls-miss-peregrines-peculiar-children-3_816/index.html\": 1, \"little-red_817/index.html\": 1, \"louisa-the-extraordinary-life-of-mrs-adams_818/index.html\": 1, \"miss-peregrines-home-for-peculiar-children-miss-peregrines-peculiar-children-1_819/index.html\": 1, \"modern-romance_820/index.html\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/page-10.html\", \"value_kinds\": {\"book_link\": \"url\"}, \"values\": {\"book_link\": [\"modern-romance_820/index.html\", \"miss-peregrines-home-for-peculiar-children-miss-peregrines-peculiar-children-1_819/index.html\", \"louisa-the-extraordinary-life-of-mrs-adams_818/index.html\", \"little-red_817/index.html\", \"library-of-souls-miss-peregrines-peculiar-children-3_816/index.html\", \"large-print-heart-of-the-pride_815/index.html\", \"i-had-a-nice-time-and-other-lies-how-to-find-love-sht-like-that_814/index.html\", \"hollow-city-miss-peregrines-peculiar-children-2_813/index.html\", \"grumbles_812/index.html\", \"full-moon-over-noahs-ark-an-odyssey-to-mount-ararat-and-beyond_811/index.html\", \"frostbite-vampire-academy-2_810/index.html\", \"follow-you-home_809/index.html\", \"first-steps-for-new-christians-print-edition_808/index.html\", \"finders-keepers-bill-hodges-trilogy-2_807/index.html\", \"fables-vol-1-legends-in-exile-fables-1_806/index.html\", \"eureka-trivia-60_805/index.html\", \"drive-the-surprising-truth-about-what-motivates-us_804/index.html\", \"done-rubbed-out-reightman-bailey-1_803/index.html\", \"doing-it-over-most-likely-to-1_802/index.html\", \"deliciously-ella-every-day-quick-and-easy-recipes-for-gluten-free-snacks-packed-lunches-and-simple-meals_801/index.html\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d87cefd5fd9733df8337", "input": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47033", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-d87cefd5fd9733df8337\", \"input\": \"dataset/html/liveweb-ie-d87cefd5fd9733df8337.html\", \"input_sha256\": \"7348f005ed061cdec0820041baa76b253448926574ba2091be41a4b5096875a7\", \"original_reference\": {\"tank_size\": [\"17.6 gallons\"], \"vehicle\": [\"2024 Porsche 911 Turbo Cabriolet\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Turbo_Cabrio.jpg\"]}, \"qualification\": {\"input_sha256\": \"7348f005ed061cdec0820041baa76b253448926574ba2091be41a4b5096875a7\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"e8b16ec08a03bcc5968ba1320efbe17bba332761c53d8b6c32400d7571c8b0a8\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47033\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the vehicle's full name along with its photo and tank size\", \"schema\": {\"properties\": {\"tank_size\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: tank_size\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: vehicle\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_image\": {\"description\": \"Get the vehicle's full name along with its photo and tank size; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle\", \"vehicle_image\", \"tank_size\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"tank_size\": {\"17.6 gallons\": 1}, \"vehicle\": {\"2024 Porsche 911 Turbo Cabriolet\": 1}, \"vehicle_image\": {\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Turbo_Cabrio.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47033\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"tank_size\": [\"17.6 gallons\"], \"vehicle\": [\"2024 Porsche 911 Turbo Cabriolet\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Turbo_Cabrio.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-e9c64a5cab3cdbe497bd", "input": "https://huggingface.co/papers/date/2024-09-25", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-e9c64a5cab3cdbe497bd\", \"input\": \"dataset/html/liveweb-ie-e9c64a5cab3cdbe497bd.html\", \"input_sha256\": \"c05dcad207af55c6cefbc58e521beeab106618c537545d306ac56319ea4714e4\", \"original_reference\": {\"paper_link\": [\"/papers/2409.16191\", \"/papers/2409.16160\", \"/papers/2409.15700\", \"/papers/2409.15272\", \"/papers/2409.16235\", \"/papers/2409.14128\", \"/papers/2409.16280\", \"/papers/2409.16211\", \"/papers/2409.16143\", \"/papers/2409.16040\", \"/papers/2409.15997\", \"/papers/2409.16283\", \"/papers/2409.17143\", \"/papers/2409.15360\", \"/papers/2409.15933\", \"/papers/2409.13156\", \"/papers/2409.12192\", \"/papers/2409.13882\"]}, \"qualification\": {\"input_sha256\": \"c05dcad207af55c6cefbc58e521beeab106618c537545d306ac56319ea4714e4\", \"observed_at\": \"2026-11-06T10:07:37Z\", \"reference_sha256\": \"5575405ae532ad719b2b78bb48ccd5f544fdf50d8138962ba3296e5c8b933d15\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/date/2024-09-25\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please extract all paper links.\", \"schema\": {\"properties\": {\"paper_link\": {\"description\": \"Please extract all paper links.; target attribute: paper_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"paper_link\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"paper_link\": {\"/papers/2409.12192\": 1, \"/papers/2409.13156\": 1, \"/papers/2409.13882\": 1, \"/papers/2409.14128\": 1, \"/papers/2409.15272\": 1, \"/papers/2409.15360\": 1, \"/papers/2409.15700\": 1, \"/papers/2409.15933\": 1, \"/papers/2409.15997\": 1, \"/papers/2409.16040\": 1, \"/papers/2409.16143\": 1, \"/papers/2409.16160\": 1, \"/papers/2409.16191\": 1, \"/papers/2409.16211\": 1, \"/papers/2409.16235\": 1, \"/papers/2409.16280\": 1, \"/papers/2409.16283\": 1, \"/papers/2409.17143\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/date/2024-09-25\", \"value_kinds\": {\"paper_link\": \"url\"}, \"values\": {\"paper_link\": [\"/papers/2409.16191\", \"/papers/2409.16160\", \"/papers/2409.15700\", \"/papers/2409.15272\", \"/papers/2409.16235\", \"/papers/2409.14128\", \"/papers/2409.16280\", \"/papers/2409.16211\", \"/papers/2409.16143\", \"/papers/2409.16040\", \"/papers/2409.15997\", \"/papers/2409.16283\", \"/papers/2409.17143\", \"/papers/2409.15360\", \"/papers/2409.15933\", \"/papers/2409.13156\", \"/papers/2409.12192\", \"/papers/2409.13882\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-345f61ec30afdc73ad99", "input": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=game", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-345f61ec30afdc73ad99\", \"input\": \"dataset/html/liveweb-ie-345f61ec30afdc73ad99.html\", \"input_sha256\": \"5f314623db79e15a595517c9dd69504723879920b1714800d288d5067755da1b\", \"original_reference\": {\"title\": [\"Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games\", \"Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models\", \"A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence\", \"Diffusion Models Are Real-Time Game Engines\", \"Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation\", \"Strength Estimation and Human-Like Strength Adjustment in Games\", \"Monte Carlo Planning with Large Language Model for Text-Based Game Agents\", \"Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games\", \"Do LLM Agents  Have Regret? A Case Study in Online Learning and Games\", \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\", \"On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions\", \"Unbounded: A Generative Infinite Game of Character Life Simulation\", \"Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies\", \"Learning Regularized Graphon Mean-Field Games with Unknown Graphons\", \"Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design\", \"The Complexity of Two-Team Polymatrix Games with Independent Adversaries\", \"GameGen-X: Interactive Open-world Game Video Generation\", \"BANGS: Game-theoretic Node Selection for Graph Self-Training\", \"BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games\", \"GameArena: Evaluating LLM Reasoning through Live Computer Games\", \"Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games\", \"Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation\", \"Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?\", \"Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games\", \"Rethinking Shapley Value for Negative Interactions in Non-convex Games\", \"Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games\", \"Are Large Vision Language Models Good Game Players?\"]}, \"qualification\": {\"input_sha256\": \"5f314623db79e15a595517c9dd69504723879920b1714800d288d5067755da1b\", \"observed_at\": \"2026-11-06T10:07:10Z\", \"reference_sha256\": \"d7d3b5e4ae0a5e56419a2ad91239504b3cabb20fa4b8b1a05ce8922603568b35\", \"source_supported_corrections\": [{\"accepted\": \"Do LLM Agents Have Regret? A Case Study in Online Learning and Games\", \"field\": \"title\", \"original\": \"Do LLM Agents  Have Regret? A Case Study in Online Learning and Games\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"5f314623db79e15a595517c9dd69504723879920b1714800d288d5067755da1b\"}], \"source_url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=game\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all paper titles.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract all paper titles.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence\": 1, \"Are Large Vision Language Models Good Game Players?\": 1, \"BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games\": 1, \"BANGS: Game-theoretic Node Selection for Graph Self-Training\": 1, \"Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models\": 1, \"Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games\": 1, \"Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?\": 1, \"Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games\": 1, \"Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies\": 1, \"Diffusion Models Are Real-Time Game Engines\": 1, \"Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games\": 1, \"Do LLM Agents Have Regret? A Case Study in Online Learning and Games\": 1, \"Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games\": 1, \"Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation\": 1, \"GameArena: Evaluating LLM Reasoning through Live Computer Games\": 1, \"GameGen-X: Interactive Open-world Game Video Generation\": 1, \"Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games\": 1, \"Learning Regularized Graphon Mean-Field Games with Unknown Graphons\": 1, \"Monte Carlo Planning with Large Language Model for Text-Based Game Agents\": 1, \"On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions\": 1, \"Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design\": 1, \"Rethinking Shapley Value for Negative Interactions in Non-convex Games\": 1, \"Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation\": 1, \"Strength Estimation and Human-Like Strength Adjustment in Games\": 1, \"The Complexity of Two-Team Polymatrix Games with Independent Adversaries\": 1, \"Unbounded: A Generative Infinite Game of Character Life Simulation\": 1, \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=game\", \"value_kinds\": {}, \"values\": {\"title\": [\"Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games\", \"Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models\", \"A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence\", \"Diffusion Models Are Real-Time Game Engines\", \"Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation\", \"Strength Estimation and Human-Like Strength Adjustment in Games\", \"Monte Carlo Planning with Large Language Model for Text-Based Game Agents\", \"Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games\", \"Do LLM Agents Have Regret? A Case Study in Online Learning and Games\", \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\", \"On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions\", \"Unbounded: A Generative Infinite Game of Character Life Simulation\", \"Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies\", \"Learning Regularized Graphon Mean-Field Games with Unknown Graphons\", \"Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design\", \"The Complexity of Two-Team Polymatrix Games with Independent Adversaries\", \"GameGen-X: Interactive Open-world Game Video Generation\", \"BANGS: Game-theoretic Node Selection for Graph Self-Training\", \"BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games\", \"GameArena: Evaluating LLM Reasoning through Live Computer Games\", \"Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games\", \"Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation\", \"Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?\", \"Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games\", \"Rethinking Shapley Value for Negative Interactions in Non-convex Games\", \"Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games\", \"Are Large Vision Language Models Good Game Players?\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-1c4cc97bcd111b9cf7e2", "input": "https://icml.cc/virtual/2025/papers.html?filter=title&search=document", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-1c4cc97bcd111b9cf7e2\", \"input\": \"dataset/html/liveweb-ie-1c4cc97bcd111b9cf7e2.html\", \"input_sha256\": \"afafcb569f6fbd533a15426e759451e5b7964d5204d056b9da2ad18a8fba327f\", \"original_reference\": {\"title\": [\"NExtLong: Toward Effective Long-Context Training without Long Documents\", \"DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning\", \"DocVXQA: Context-Aware Visual Explanations for Document Question Answering\"]}, \"qualification\": {\"input_sha256\": \"afafcb569f6fbd533a15426e759451e5b7964d5204d056b9da2ad18a8fba327f\", \"observed_at\": \"2026-11-06T10:07:23Z\", \"reference_sha256\": \"2c354db8162ffd357bf7240dd86a5451a764eadff4e73c87eb4d73231931ca42\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=document\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every paper title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve every paper title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning\": 1, \"DocVXQA: Context-Aware Visual Explanations for Document Question Answering\": 1, \"NExtLong: Toward Effective Long-Context Training without Long Documents\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=document\", \"value_kinds\": {}, \"values\": {\"title\": [\"NExtLong: Toward Effective Long-Context Training without Long Documents\", \"DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning\", \"DocVXQA: Context-Aware Visual Explanations for Document Question Answering\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-196ce23d10885b31ccf1", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=107452", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-196ce23d10885b31ccf1\", \"input\": \"dataset/html/liveweb-ie-196ce23d10885b31ccf1.html\", \"input_sha256\": \"c88e5486a1e84108ed2bdeb9a2e4641add89225963d064f5f704a6cc4f026a2c\", \"original_reference\": {\"author\": [\"Nozères, Claude\"], \"photo_title\": [\"Hamingia arctica from cod stomach\"], \"species\": [\"Echiura (spoon worms)\"]}, \"qualification\": {\"input_sha256\": \"c88e5486a1e84108ed2bdeb9a2e4641add89225963d064f5f704a6cc4f026a2c\", \"observed_at\": \"2026-11-06T10:07:30Z\", \"reference_sha256\": \"bea9ad9dfe657221da42a0a1369ed76b98c407f14be4e91ac72e67fecf4b046d\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=107452\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the author name, photo title, and species name from the webpage.\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Retrieve the author name, photo title, and species name from the webpage.; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"photo_title\": {\"description\": \"Retrieve the author name, photo title, and species name from the webpage.; target attribute: photo_title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species\": {\"description\": \"Retrieve the author name, photo title, and species name from the webpage.; target attribute: species\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\", \"photo_title\", \"species\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"author\": {\"Nozères, Claude\": 1}, \"photo_title\": {\"Hamingia arctica from cod stomach\": 1}, \"species\": {\"Echiura (spoon worms)\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=107452\", \"value_kinds\": {}, \"values\": {\"author\": [\"Nozères, Claude\"], \"photo_title\": [\"Hamingia arctica from cod stomach\"], \"species\": [\"Echiura (spoon worms)\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-a6423905a2d214d6fe9d", "input": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=score", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-a6423905a2d214d6fe9d\", \"input\": \"dataset/html/liveweb-ie-a6423905a2d214d6fe9d.html\", \"input_sha256\": \"8a28650ae99a040eaeae1668c4d67380679b2083b93a8481e123390d7ba20479\", \"original_reference\": {\"title\": [\"Score-Optimal Diffusion Schedules\", \"Efficient Leverage Score Sampling for Tensor Train Decomposition\", \"Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models\", \"Rethinking Score Distillation as a Bridge Between Image Distributions\", \"EigenVI: score-based variational inference with orthogonal function expansions\", \"Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation\", \"APDDv2:  Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments\", \"DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction\", \"GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks\", \"Score-based 3D molecule generation with neural fields\", \"Score-based generative models are provably robust: an uncertainty quantification perspective\", \"One-Step Diffusion Distillation through Score Implicit Matching\", \"Score Distillation via Reparametrized DDIM\", \"GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models\", \"Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information\", \"Is Score Matching Suitable for Estimating Point Processes?\", \"Cryptographic Hardness of Score Estimation\", \"Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)\", \"Local Curvature Smoothing with Stein's Identity for Efficient Score Matching\", \"ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling\", \"Evaluating language models as risk scores\", \"Revisiting Score Propagation in Graph Out-of-Distribution Detection\", \"Propensity Score Alignment of Unpaired Multimodal Data\", \"Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction\", \"Hamiltonian Score Matching and Generative Flows\", \"SCOREQ: Speech Quality Assessment with Contrastive Regression\"]}, \"qualification\": {\"input_sha256\": \"8a28650ae99a040eaeae1668c4d67380679b2083b93a8481e123390d7ba20479\", \"observed_at\": \"2026-11-06T10:07:16Z\", \"reference_sha256\": \"63a57b95ba6bc6ae760ef0ba9334973db2343cec079d70a668f1a60919d5bc19\", \"source_supported_corrections\": [{\"accepted\": \"APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments\", \"field\": \"title\", \"original\": \"APDDv2:  Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"8a28650ae99a040eaeae1668c4d67380679b2083b93a8481e123390d7ba20479\"}], \"source_url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=score\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the titles of every paper on this page\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the titles of every paper on this page; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments\": 1, \"Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models\": 1, \"Cryptographic Hardness of Score Estimation\": 1, \"DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction\": 1, \"Efficient Leverage Score Sampling for Tensor Train Decomposition\": 1, \"EigenVI: score-based variational inference with orthogonal function expansions\": 1, \"Evaluating language models as risk scores\": 1, \"Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation\": 1, \"GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models\": 1, \"GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks\": 1, \"Hamiltonian Score Matching and Generative Flows\": 1, \"ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling\": 1, \"Is Score Matching Suitable for Estimating Point Processes?\": 1, \"Local Curvature Smoothing with Stein's Identity for Efficient Score Matching\": 1, \"One-Step Diffusion Distillation through Score Implicit Matching\": 1, \"Propensity Score Alignment of Unpaired Multimodal Data\": 1, \"Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction\": 1, \"Rethinking Score Distillation as a Bridge Between Image Distributions\": 1, \"Revisiting Score Propagation in Graph Out-of-Distribution Detection\": 1, \"SCOREQ: Speech Quality Assessment with Contrastive Regression\": 1, \"Score Distillation via Reparametrized DDIM\": 1, \"Score-Optimal Diffusion Schedules\": 1, \"Score-based 3D molecule generation with neural fields\": 1, \"Score-based generative models are provably robust: an uncertainty quantification perspective\": 1, \"Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information\": 1, \"Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=score\", \"value_kinds\": {}, \"values\": {\"title\": [\"Score-Optimal Diffusion Schedules\", \"Efficient Leverage Score Sampling for Tensor Train Decomposition\", \"Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models\", \"Rethinking Score Distillation as a Bridge Between Image Distributions\", \"EigenVI: score-based variational inference with orthogonal function expansions\", \"Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation\", \"APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments\", \"DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction\", \"GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks\", \"Score-based 3D molecule generation with neural fields\", \"Score-based generative models are provably robust: an uncertainty quantification perspective\", \"One-Step Diffusion Distillation through Score Implicit Matching\", \"Score Distillation via Reparametrized DDIM\", \"GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models\", \"Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information\", \"Is Score Matching Suitable for Estimating Point Processes?\", \"Cryptographic Hardness of Score Estimation\", \"Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)\", \"Local Curvature Smoothing with Stein's Identity for Efficient Score Matching\", \"ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling\", \"Evaluating language models as risk scores\", \"Revisiting Score Propagation in Graph Out-of-Distribution Detection\", \"Propensity Score Alignment of Unpaired Multimodal Data\", \"Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction\", \"Hamiltonian Score Matching and Generative Flows\", \"SCOREQ: Speech Quality Assessment with Contrastive Regression\"]}}"}
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{"family": "structured-field-extraction", "id": "liveweb-ie-23412bc8348d81cd03f9", "input": "https://www.thesportsdb.com/season/4370-formula-1/1980", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-23412bc8348d81cd03f9\", \"input\": \"dataset/html/liveweb-ie-23412bc8348d81cd03f9.html\", \"input_sha256\": \"30c75d86f523f5dce1fc2fcc0aa1ed4d5efa6db598b783650274e5e704f8a2b8\", \"original_reference\": {\"season_badge\": [\"https://r2.thesportsdb.com/images/media/league/badgearchive/x5czw51749222411.png\"], \"season_poster\": [\"https://r2.thesportsdb.com/images/media/league/posterarchive/jc2glo1750444818.jpg\"]}, \"qualification\": {\"input_sha256\": \"30c75d86f523f5dce1fc2fcc0aa1ed4d5efa6db598b783650274e5e704f8a2b8\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"0f6114d7e828e451495dcff8becd23d974481d5e3b993b298486267c3f9614b9\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/season/4370-formula-1/1980\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the badge and the poster of the seasonm\", \"schema\": {\"properties\": {\"season_badge\": {\"description\": \"Extract the badge and the poster of the seasonm; target attribute: season_badge\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"season_poster\": {\"description\": \"Extract the badge and the poster of the seasonm; target attribute: season_poster\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"season_badge\", \"season_poster\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"season_badge\": {\"https://r2.thesportsdb.com/images/media/league/badgearchive/x5czw51749222411.png\": 1}, \"season_poster\": {\"https://r2.thesportsdb.com/images/media/league/posterarchive/jc2glo1750444818.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/season/4370-formula-1/1980\", \"value_kinds\": {\"season_badge\": \"url\", \"season_poster\": \"url\"}, \"values\": {\"season_badge\": [\"https://r2.thesportsdb.com/images/media/league/badgearchive/x5czw51749222411.png\"], \"season_poster\": [\"https://r2.thesportsdb.com/images/media/league/posterarchive/jc2glo1750444818.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-b76dac48f48b926fb4dc", "input": "https://arxiv.org/abs/2401.17644", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-b76dac48f48b926fb4dc\", \"input\": \"dataset/html/liveweb-ie-b76dac48f48b926fb4dc.html\", \"input_sha256\": \"62a5cc76366ba5c487e2a2e43b44cf822846b65eaf8fb82b42854c78b432b763\", \"original_reference\": {\"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Li,+Z\", \"https://arxiv.org/search/cs?searchtype=author&query=Kang,+X\", \"https://arxiv.org/search/cs?searchtype=author&query=Fang,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Zhou,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Zheng,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Tang,+Z\", \"https://arxiv.org/search/cs?searchtype=author&query=He,+X\", \"https://arxiv.org/search/cs?searchtype=author&query=Guo,+R\", \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+X\", \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q\", \"https://arxiv.org/search/cs?searchtype=author&query=Zhou,+A+C\", \"https://arxiv.org/search/cs?searchtype=author&query=Chu,+X\"]}, \"qualification\": {\"input_sha256\": \"62a5cc76366ba5c487e2a2e43b44cf822846b65eaf8fb82b42854c78b432b763\", \"observed_at\": \"2026-11-06T10:07:05Z\", \"reference_sha256\": \"169ecd28216a791f607d18be464eddb14b5363dcca345dc9905e517df715a06b\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.17644\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the set of URLs that point to detailed author information\", \"schema\": {\"properties\": {\"author_profile_link\": {\"description\": \"Fetch the set of URLs that point to detailed author information; target attribute: author_profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author_profile_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"author_profile_link\": {\"https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Chu,+X\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Fang,+Y\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Guo,+R\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=He,+X\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Kang,+X\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Li,+Z\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Tang,+Z\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+X\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Zheng,+Y\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Zhou,+A+C\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Zhou,+Y\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.17644\", \"value_kinds\": {\"author_profile_link\": \"url\"}, \"values\": {\"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Li,+Z\", \"https://arxiv.org/search/cs?searchtype=author&query=Kang,+X\", \"https://arxiv.org/search/cs?searchtype=author&query=Fang,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Zhou,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Zheng,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Tang,+Z\", \"https://arxiv.org/search/cs?searchtype=author&query=He,+X\", \"https://arxiv.org/search/cs?searchtype=author&query=Guo,+R\", \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+X\", \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q\", \"https://arxiv.org/search/cs?searchtype=author&query=Zhou,+A+C\", \"https://arxiv.org/search/cs?searchtype=author&query=Chu,+X\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-e170824c238f69a4c91b", "input": "https://books.toscrape.com/catalogue/its-only-the-himalayas_981/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-e170824c238f69a4c91b\", \"input\": \"dataset/html/liveweb-ie-e170824c238f69a4c91b.html\", \"input_sha256\": \"497c688e0b97a2754f4bc7fb5575838054c50d6fc149961d64ec1f49197ec3dc\", \"original_reference\": {\"book_image\": [\"../../media/cache/6d/41/6d418a73cc7d4ecfd75ca11d854041db.jpg\"], \"stock_status\": [\"In stock (19 available)\"]}, \"qualification\": {\"input_sha256\": \"497c688e0b97a2754f4bc7fb5575838054c50d6fc149961d64ec1f49197ec3dc\", \"observed_at\": \"2026-11-06T10:08:14Z\", \"reference_sha256\": \"a76eb6d3a2b809efe89d03da811123e231cbad604d13d16b30edbe74f985b1c5\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/its-only-the-himalayas_981/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Scrape the book stock status and associated image\", \"schema\": {\"properties\": {\"book_image\": {\"description\": \"Scrape the book stock status and associated image; target attribute: book_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"stock_status\": {\"description\": \"Scrape the book stock status and associated image; target attribute: stock_status\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"stock_status\", \"book_image\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"book_image\": {\"../../media/cache/6d/41/6d418a73cc7d4ecfd75ca11d854041db.jpg\": 1}, \"stock_status\": {\"In stock (19 available)\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/its-only-the-himalayas_981/index.html\", \"value_kinds\": {\"book_image\": \"url\"}, \"values\": {\"book_image\": [\"../../media/cache/6d/41/6d418a73cc7d4ecfd75ca11d854041db.jpg\"], \"stock_status\": [\"In stock (19 available)\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-501040d68f78fa974ca2", "input": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2022&year2=2022&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-501040d68f78fa974ca2\", \"input\": \"dataset/html/liveweb-ie-501040d68f78fa974ca2.html\", \"input_sha256\": \"934efa053742a98f4cc99da95566013de05e7ec289b38a5a357be57a0c1c4a6f\", \"original_reference\": {\"vehicle_link\": [\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43953\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43779\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43784\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43786\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43828\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43829\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43780\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43785\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43787\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43822\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43788\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43789\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43781\"]}, \"qualification\": {\"input_sha256\": \"934efa053742a98f4cc99da95566013de05e7ec289b38a5a357be57a0c1c4a6f\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"6070b00e960c8d6d727bf3f2b048b4075b452b8e8a6fe0ec0ece95745fd288d3\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2022&year2=2022&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the detail links of all cars\", \"schema\": {\"properties\": {\"vehicle_link\": {\"description\": \"Extract the detail links of all cars; target attribute: vehicle_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_link\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"vehicle_link\": {\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43779\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43780\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43781\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43784\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43785\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43786\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43787\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43788\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43789\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43822\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43828\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43829\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43953\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2022&year2=2022&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50\", \"value_kinds\": {\"vehicle_link\": \"url\"}, \"values\": {\"vehicle_link\": [\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43953\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43779\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43784\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43786\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43828\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43829\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43780\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43785\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43787\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43822\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43788\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43789\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43781\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-c75814f8608deb1f4fd2", "input": "https://huggingface.co/papers/2408.15545", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-c75814f8608deb1f4fd2\", \"input\": \"dataset/html/liveweb-ie-c75814f8608deb1f4fd2.html\", \"input_sha256\": \"31ba238cdb76bdbbd2168119230b709ea0dbfed6200d07c4e48352be75864349\", \"original_reference\": {\"title\": [\"SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding\"]}, \"qualification\": {\"input_sha256\": \"31ba238cdb76bdbbd2168119230b709ea0dbfed6200d07c4e48352be75864349\", \"observed_at\": \"2026-11-06T10:07:37Z\", \"reference_sha256\": \"cf2c798ff6b1a54cff96a0f9eacd60cd71ff803fd90840ab3a9e9dfaf65e04e2\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/2408.15545\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the research paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the research paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"title\": {\"SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/2408.15545\", \"value_kinds\": {}, \"values\": {\"title\": [\"SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-4ef40ef66cbd52cc4562", "input": "https://iclr.cc/virtual/2025/poster/30880", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-4ef40ef66cbd52cc4562\", \"input\": \"dataset/html/liveweb-ie-4ef40ef66cbd52cc4562.html\", \"input_sha256\": \"f35e70f45c38902b9a2f3b46cab82947efac997b4a880a00eae3c4490ff6085b\", \"original_reference\": {\"title\": [\"Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters\"]}, \"qualification\": {\"input_sha256\": \"f35e70f45c38902b9a2f3b46cab82947efac997b4a880a00eae3c4490ff6085b\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"53c4169240fbb96180df9a525eb3bbfad6a1da576731c8a8405e1c44a399455d\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/poster/30880\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title of the paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/poster/30880\", \"value_kinds\": {}, \"values\": {\"title\": [\"Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-1a7cb2399fe7395e77c4", "input": "https://icml.cc/virtual/2025/poster/43874", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-1a7cb2399fe7395e77c4\", \"input\": \"dataset/html/liveweb-ie-1a7cb2399fe7395e77c4.html\", \"input_sha256\": \"920451cc14cf4b97520b80809db531ed45843225bceb0fc6a713110c941ec968\", \"original_reference\": {\"title\": [\"Observation Interference in Partially Observable Assistance Games\"]}, \"qualification\": {\"input_sha256\": \"920451cc14cf4b97520b80809db531ed45843225bceb0fc6a713110c941ec968\", \"observed_at\": \"2026-11-06T10:07:23Z\", \"reference_sha256\": \"03b895d4224acdebafb085dbc705af0b865740a68cdf7a848c2e4f8ddeb686f1\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/poster/43874\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title for this paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title for this paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"Observation Interference in Partially Observable Assistance Games\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/poster/43874\", \"value_kinds\": {}, \"values\": {\"title\": [\"Observation Interference in Partially Observable Assistance Games\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-a6c59d83af240054a1b6", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=107453", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-a6c59d83af240054a1b6\", \"input\": \"dataset/html/liveweb-ie-a6c59d83af240054a1b6.html\", \"input_sha256\": \"6b673650a798ad97aaaa85cd8ac71e7b282137bc88dae61365be0dd356ab7173\", \"original_reference\": {\"author\": [\"Nozères, Claude\"]}, \"qualification\": {\"input_sha256\": \"6b673650a798ad97aaaa85cd8ac71e7b282137bc88dae61365be0dd356ab7173\", \"observed_at\": \"2026-11-06T10:07:30Z\", \"reference_sha256\": \"921e1661719f5447f84f8e4a0cb42e4b4ed9589daf829841d0318476a91fe7ef\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=107453\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the name of this author of the photo\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Extract the name of this author of the photo; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"author\": {\"Nozères, Claude\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=107453\", \"value_kinds\": {}, \"values\": {\"author\": [\"Nozères, Claude\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-e5d8763f5f9ea9909ec8", "input": "https://neurips.cc/virtual/2024/poster/95668", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-e5d8763f5f9ea9909ec8\", \"input\": \"dataset/html/liveweb-ie-e5d8763f5f9ea9909ec8.html\", \"input_sha256\": \"f757af1d454cef411f1346249d7dd3623be5f3c2a0056479e7cacb335c550f80\", \"original_reference\": {\"title\": [\"KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis\"]}, \"qualification\": {\"input_sha256\": \"f757af1d454cef411f1346249d7dd3623be5f3c2a0056479e7cacb335c550f80\", \"observed_at\": \"2026-11-06T10:07:16Z\", \"reference_sha256\": \"1a89a368df4b719e12c5317612e4f9bfab6c1f8abd4944b676de27606bb43ea9\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/poster/95668\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the paper's title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the paper's title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/poster/95668\", \"value_kinds\": {}, \"values\": {\"title\": [\"KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-4545be59b232fadab8e2", "input": "http://quotes.toscrape.com/author/James-Baldwin", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-4545be59b232fadab8e2\", \"input\": \"dataset/html/liveweb-ie-4545be59b232fadab8e2.html\", \"input_sha256\": \"e7a68a792ae66b2c60d65c3ec0e9b6804381b9ff740fa63aaccd8f15232980fb\", \"original_reference\": {\"author\": [\"James Baldwin\"]}, \"qualification\": {\"input_sha256\": \"e7a68a792ae66b2c60d65c3ec0e9b6804381b9ff740fa63aaccd8f15232980fb\", \"observed_at\": \"2026-11-06T10:08:09Z\", \"reference_sha256\": \"c9e375adb163c4b3049d3356ad4d346dbc2cd1da99e24785d92cfffff0b41a2f\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/author/James-Baldwin\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the quote author's name\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Fetch the quote author's name; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"author\": {\"James Baldwin\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/author/James-Baldwin\", \"value_kinds\": {}, \"values\": {\"author\": [\"James Baldwin\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-1a93157928d13ae1ac35", "input": "https://sandbox.oxylabs.io/products/525", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-1a93157928d13ae1ac35\", \"input\": \"dataset/html/liveweb-ie-1a93157928d13ae1ac35.html\", \"input_sha256\": \"d2984adafa43b719ec0d4f66e858c970a9a431abf0869d1e96e5c81b04c43713\", \"original_reference\": {\"developer\": [\"Bloober Team\"], \"title\": [\"Observer: System Redux\"]}, \"qualification\": {\"input_sha256\": \"d2984adafa43b719ec0d4f66e858c970a9a431abf0869d1e96e5c81b04c43713\", \"observed_at\": \"2026-11-06T10:08:04Z\", \"reference_sha256\": \"c99cc58fd0994d99d869f6c67c1d9e812565e007fc7ebf690f7054485e516075\", \"source_supported_corrections\": [], \"source_url\": \"https://sandbox.oxylabs.io/products/525\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the game developer and game title together.\", \"schema\": {\"properties\": {\"developer\": {\"description\": \"Retrieve the game developer and game title together.; target attribute: developer\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Retrieve the game developer and game title together.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"developer\", \"title\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"developer\": {\"Bloober Team\": 1}, \"title\": {\"Observer: System Redux\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/525\", \"value_kinds\": {}, \"values\": {\"developer\": [\"Bloober Team\"], \"title\": [\"Observer: System Redux\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-95cdd4bce7643f2bcb7b", "input": "https://www.scrapethissite.com/pages/forms/?page_num=4", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-95cdd4bce7643f2bcb7b\", \"input\": \"dataset/html/liveweb-ie-95cdd4bce7643f2bcb7b.html\", \"input_sha256\": \"51c989b77749fea034bd198c8faaa75305a13e5ceebb73d01f3149e1c43b6384\", \"original_reference\": {\"wins\": [\"33\", \"27\", \"27\", \"41\", \"47\", \"36\", \"52\", \"14\", \"35\", \"44\", \"34\", \"33\", \"40\", \"30\", \"43\", \"41\", \"39\", \"24\", \"16\", \"27\", \"22\", \"24\", \"24\", \"17\", \"33\"]}, \"qualification\": {\"input_sha256\": \"51c989b77749fea034bd198c8faaa75305a13e5ceebb73d01f3149e1c43b6384\", \"observed_at\": \"2026-11-06T10:07:58Z\", \"reference_sha256\": \"377b005db39d4857758929ba448edb1c4dc4c44be32ece800773604588faf399\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=4\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Tell me the wins of all hockey teams\", \"schema\": {\"properties\": {\"wins\": {\"description\": \"Tell me the wins of all hockey teams; target attribute: wins\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"wins\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"wins\": {\"14\": 1, \"16\": 1, \"17\": 1, \"22\": 1, \"24\": 3, \"27\": 3, \"30\": 1, \"33\": 3, \"34\": 1, \"35\": 1, \"36\": 1, \"39\": 1, \"40\": 1, \"41\": 2, \"43\": 1, \"44\": 1, \"47\": 1, \"52\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=4\", \"value_kinds\": {}, \"values\": {\"wins\": [\"33\", \"27\", \"41\", \"47\", \"36\", \"52\", \"14\", \"35\", \"44\", \"34\", \"40\", \"30\", \"43\", \"39\", \"24\", \"16\", \"22\", \"17\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-5d40a7fa3b9555019cc9", "input": "https://www.thecocktaildb.com/drink/12674-fruit-shake", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-5d40a7fa3b9555019cc9\", \"input\": \"dataset/html/liveweb-ie-5d40a7fa3b9555019cc9.html\", \"input_sha256\": \"ff54054878be128b531df1f3b6c72fd0417ab1dacb3b8f81ccb7ac9241582983\", \"original_reference\": {\"ingredient_link\": [\"/ingredient/533-yoghurt\", \"/ingredient/47-banana\", \"/ingredient/352-orange-juice\", \"/ingredient/222-fruit\", \"/ingredient/270-ice\"]}, \"qualification\": {\"input_sha256\": \"ff54054878be128b531df1f3b6c72fd0417ab1dacb3b8f81ccb7ac9241582983\", \"observed_at\": \"2026-11-06T10:07:55Z\", \"reference_sha256\": \"fa0034a135b8c23e49b654b808a6d6db7f013316120cc0e70cfeb3b68b9fb3f1\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/drink/12674-fruit-shake\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"What are the detail links for every ingredient in the drink?\", \"schema\": {\"properties\": {\"ingredient_link\": {\"description\": \"What are the detail links for every ingredient in the drink?; target attribute: ingredient_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient_link\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"ingredient_link\": {\"/ingredient/222-fruit\": 1, \"/ingredient/270-ice\": 1, \"/ingredient/352-orange-juice\": 1, \"/ingredient/47-banana\": 1, \"/ingredient/533-yoghurt\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/drink/12674-fruit-shake\", \"value_kinds\": {\"ingredient_link\": \"url\"}, \"values\": {\"ingredient_link\": [\"/ingredient/533-yoghurt\", \"/ingredient/47-banana\", \"/ingredient/352-orange-juice\", \"/ingredient/222-fruit\", \"/ingredient/270-ice\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-a779d92bdcb1f297e626", "input": "https://www.themealdb.com/meal/52961-budino-di-ricotta-recipe", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-a779d92bdcb1f297e626\", \"input\": \"dataset/html/liveweb-ie-a779d92bdcb1f297e626.html\", \"input_sha256\": \"262304638945a541c0333d8e7c9dda02fc3828a1d9f787a9f9b5274a1e26c26d\", \"original_reference\": {\"meal\": [\"Budino Di Ricotta\"]}, \"qualification\": {\"input_sha256\": \"262304638945a541c0333d8e7c9dda02fc3828a1d9f787a9f9b5274a1e26c26d\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"da42b468fee9617b8111581fa0d9ddef395483e50eda8593b1257bacf5b222d1\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/meal/52961-budino-di-ricotta-recipe\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Give me the name of the food\", \"schema\": {\"properties\": {\"meal\": {\"description\": \"Give me the name of the food; target attribute: meal\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"meal\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"meal\": {\"Budino Di Ricotta\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/meal/52961-budino-di-ricotta-recipe\", \"value_kinds\": {}, \"values\": {\"meal\": [\"Budino Di Ricotta\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d070e4bfc888d1f10fc9", "input": "https://www.thesportsdb.com/event/1665658-portugal-vs-switzerland", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-d070e4bfc888d1f10fc9\", \"input\": \"dataset/html/liveweb-ie-d070e4bfc888d1f10fc9.html\", \"input_sha256\": \"014acb29229afa7e1cfe31f4e77d4564f204cfdc506e62c4a3f730d502d687f4\", \"original_reference\": {\"lineup\": [\"Silva\", \"Fernandes\", \"Pepe\", \"Dias\", \"Guerreiro\", \"Carvalho\", \"Ramos\", \"Félix\", \"Costa\", \"Otávio\", \"Dalot\", \"Xhaka\", \"Akanji\", \"Schär\", \"Rodriguez\", \"Embolo\", \"Sommer\", \"Fernandes\", \"Freuler\", \"Sow\", \"Shaqiri\", \"Vargas\"], \"team_badge\": [\"https://r2.thesportsdb.com/images/media/team/badge/swqvpy1455466083.png/medium\", \"https://r2.thesportsdb.com/images/media/team/badge/mb7yqe1717365808.png/medium\"]}, \"qualification\": {\"input_sha256\": \"014acb29229afa7e1cfe31f4e77d4564f204cfdc506e62c4a3f730d502d687f4\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"f1b930e92892e7f89724d3a0a64ee94aa68dccfb246a77c312bb4f2acb446b6c\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/event/1665658-portugal-vs-switzerland\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the team badges and player rosters for this match.\", \"schema\": {\"properties\": {\"lineup\": {\"description\": \"Extract the team badges and player rosters for this match.; target attribute: lineup\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"team_badge\": {\"description\": \"Extract the team badges and player rosters for this match.; target attribute: team_badge\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team_badge\", \"lineup\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"lineup\": {\"Akanji\": 1, \"Carvalho\": 1, \"Costa\": 1, \"Dalot\": 1, \"Dias\": 1, \"Embolo\": 1, \"Fernandes\": 2, \"Freuler\": 1, \"Félix\": 1, \"Guerreiro\": 1, \"Otávio\": 1, \"Pepe\": 1, \"Ramos\": 1, \"Rodriguez\": 1, \"Schär\": 1, \"Shaqiri\": 1, \"Silva\": 1, \"Sommer\": 1, \"Sow\": 1, \"Vargas\": 1, \"Xhaka\": 1}, \"team_badge\": {\"https://r2.thesportsdb.com/images/media/team/badge/mb7yqe1717365808.png/medium\": 1, \"https://r2.thesportsdb.com/images/media/team/badge/swqvpy1455466083.png/medium\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/event/1665658-portugal-vs-switzerland\", \"value_kinds\": {\"team_badge\": \"url\"}, \"values\": {\"lineup\": [\"Silva\", \"Fernandes\", \"Pepe\", \"Dias\", \"Guerreiro\", \"Carvalho\", \"Ramos\", \"Félix\", \"Costa\", \"Otávio\", \"Dalot\", \"Xhaka\", \"Akanji\", \"Schär\", \"Rodriguez\", \"Embolo\", \"Sommer\", \"Freuler\", \"Sow\", \"Shaqiri\", \"Vargas\"], \"team_badge\": [\"https://r2.thesportsdb.com/images/media/team/badge/swqvpy1455466083.png/medium\", \"https://r2.thesportsdb.com/images/media/team/badge/mb7yqe1717365808.png/medium\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-8862030ebd6f70125a21", "input": "https://arxiv.org/list/cs.GT/2024-01", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-8862030ebd6f70125a21\", \"input\": \"dataset/html/liveweb-ie-8862030ebd6f70125a21.html\", \"input_sha256\": \"db3fea41e30eb5d2bc6a825ecf362dc4dea11b6174ee2205a825989d90d28706\", \"original_reference\": {\"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Huttenlocher,+D\", \"https://arxiv.org/search/cs?searchtype=author&query=Li,+H\", \"https://arxiv.org/search/cs?searchtype=author&query=Lyu,+L\", \"https://arxiv.org/search/cs?searchtype=author&query=Ozdaglar,+A\", \"https://arxiv.org/search/cs?searchtype=author&query=Siderius,+J\", \"https://arxiv.org/search/cs?searchtype=author&query=Sun,+H\", \"https://arxiv.org/search/cs?searchtype=author&query=Xia,+C\", 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{"family": "structured-field-extraction", "id": "liveweb-ie-c1b2329401e9aa002a72", "input": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47298", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-c1b2329401e9aa002a72\", \"input\": \"dataset/html/liveweb-ie-c1b2329401e9aa002a72.html\", \"input_sha256\": \"dee9631e169724e14576ffa4e507bcca8f90d23f1d4ce357aa7ed5ae2582e77c\", \"original_reference\": {\"vehicle\": [\"2024 Porsche 911 Carrera 4S Cabriolet\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg\"]}, \"qualification\": {\"input_sha256\": \"dee9631e169724e14576ffa4e507bcca8f90d23f1d4ce357aa7ed5ae2582e77c\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"2a00b98645e68c6300a498502ff4ee304d6e3110c4cf92727fe68c6b4ea42879\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47298\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the car name and its image from the page.\", \"schema\": {\"properties\": {\"vehicle\": {\"description\": \"Extract the car name and its image from the page.; target attribute: vehicle\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_image\": {\"description\": \"Extract the car name and its image from the page.; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_image\", \"vehicle\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"vehicle\": {\"2024 Porsche 911 Carrera 4S Cabriolet\": 1}, \"vehicle_image\": {\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47298\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"vehicle\": [\"2024 Porsche 911 Carrera 4S Cabriolet\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-f6c05fcc0004616289a9", "input": "https://huggingface.co/papers/date/2024-06-11", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-f6c05fcc0004616289a9\", \"input\": \"dataset/html/liveweb-ie-f6c05fcc0004616289a9.html\", \"input_sha256\": \"344a0a4df3575cb9521ad28dda3b9f2005dcc10c280d487b40a7944453bdd2fe\", \"original_reference\": {\"author_count\": [\"7\", \"4\", \"8\", \"34\", \"7\", \"10\", \"9\", \"6\", \"9\", \"7\", \"6\", \"6\", \"6\", \"10\"]}, \"qualification\": {\"input_sha256\": \"344a0a4df3575cb9521ad28dda3b9f2005dcc10c280d487b40a7944453bdd2fe\", \"observed_at\": \"2026-11-06T10:07:38Z\", \"reference_sha256\": \"a221b2e30c139ab010846ff7e3b80e584de1fe83e6005b7af122f1420ca72da3\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/date/2024-06-11\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Show me the list of author counts for all papers\", \"schema\": {\"properties\": {\"author_count\": {\"description\": \"Show me the list of author counts for all papers; target attribute: author_count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author_count\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"author_count\": {\"10\": 2, \"34\": 1, \"4\": 1, \"6\": 4, \"7\": 3, \"8\": 1, \"9\": 2}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/date/2024-06-11\", \"value_kinds\": {}, \"values\": {\"author_count\": [\"7\", \"4\", \"8\", \"34\", \"10\", \"9\", \"6\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-4933f59397004d5f6808", "input": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=play", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-4933f59397004d5f6808\", \"input\": \"dataset/html/liveweb-ie-4933f59397004d5f6808.html\", \"input_sha256\": \"dbaa4306206402a68df9d7f65c4061eb58e5df1e59650cfceac0dfbbf4ef4c83\", \"original_reference\": {\"title\": [\"Effective Interplay between Sparsity and Quantization: From Theory to Practice\", \"SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models\", \"Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games\", \"Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory\", \"InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences\", \"Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games\", \"Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models\", \"Prioritized Generative Replay\", \"Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering\", \"SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration\", \"Self-Play Preference Optimization for Language Model Alignment\", \"X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale\", \"Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition\", \"Are Large Vision Language Models Good Game Players?\", \"Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning\", \"Text-to-Image Rectified Flow as Plug-and-Play Priors\", \"MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents\", \"Advancing Prompt-Based Methods for Replay-Independent General Continual Learning\", \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\", \"PnP-Flow: Plug-and-Play Image Restoration with Flow Matching\", \"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials\"]}, \"qualification\": {\"input_sha256\": \"dbaa4306206402a68df9d7f65c4061eb58e5df1e59650cfceac0dfbbf4ef4c83\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"5ca910b545be8e40f3c4011d3e522cc0be84a9035b86025e5240c2db9937373f\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=play\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all paper titles.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract all paper titles.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"Advancing Prompt-Based Methods for Replay-Independent General Continual Learning\": 1, \"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials\": 1, \"Are Large Vision Language Models Good Game Players?\": 1, \"Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition\": 1, \"Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games\": 1, \"Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games\": 1, \"Effective Interplay between Sparsity and Quantization: From Theory to Practice\": 1, \"InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences\": 1, \"MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents\": 1, \"Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering\": 1, \"Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory\": 1, \"PnP-Flow: Plug-and-Play Image Restoration with Flow Matching\": 1, \"Prioritized Generative Replay\": 1, \"SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models\": 1, \"SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration\": 1, \"Self-Play Preference Optimization for Language Model Alignment\": 1, \"Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models\": 1, \"Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning\": 1, \"Text-to-Image Rectified Flow as Plug-and-Play Priors\": 1, \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\": 1, \"X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=play\", \"value_kinds\": {}, \"values\": {\"title\": [\"Effective Interplay between Sparsity and Quantization: From Theory to Practice\", \"SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models\", \"Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games\", \"Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory\", \"InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences\", \"Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games\", \"Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models\", \"Prioritized Generative Replay\", \"Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering\", \"SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration\", \"Self-Play Preference Optimization for Language Model Alignment\", \"X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale\", \"Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition\", \"Are Large Vision Language Models Good Game Players?\", \"Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning\", \"Text-to-Image Rectified Flow as Plug-and-Play Priors\", \"MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents\", \"Advancing Prompt-Based Methods for Replay-Independent General Continual Learning\", \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\", \"PnP-Flow: Plug-and-Play Image Restoration with Flow Matching\", \"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d26c3d14c985e2bef386", "input": "https://icml.cc/virtual/2025/papers.html?filter=title&search=vlm", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-d26c3d14c985e2bef386\", \"input\": \"dataset/html/liveweb-ie-d26c3d14c985e2bef386.html\", \"input_sha256\": \"cbe348ce4be9b08404c4ccb172ad6d9ac8db66e47b8c2617b4e22d150a514474\", \"original_reference\": {\"title\": [\"Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems\", \"DS-VLM: Diffusion Supervision Vision Language Model\", \"LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models\", \"Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning\", \"Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting\", \"CoMemo: LVLMs Need Image Context with Image Memory\", \"Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?\", \"Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration\", \"DIS-CO: Discovering Copyrighted Content in VLMs Training Data\", \"From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs\", \"Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas\", \"SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference\", \"Probing Visual Language Priors in VLMs\", \"Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision\", \"TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models\"]}, \"qualification\": {\"input_sha256\": \"cbe348ce4be9b08404c4ccb172ad6d9ac8db66e47b8c2617b4e22d150a514474\", \"observed_at\": \"2026-11-06T10:07:23Z\", \"reference_sha256\": \"568b7a13572a79e5aee837d9a124d38aee383e189ccea629f37282fb0ecfd89f\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=vlm\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every paper title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve every paper title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"CoMemo: LVLMs Need Image Context with Image Memory\": 1, \"Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems\": 1, \"DIS-CO: Discovering Copyrighted Content in VLMs Training Data\": 1, \"DS-VLM: Diffusion Supervision Vision Language Model\": 1, \"Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision\": 1, \"From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs\": 1, \"Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?\": 1, \"LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models\": 1, \"Probing Visual Language Priors in VLMs\": 1, \"SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference\": 1, \"TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models\": 1, \"Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting\": 1, \"Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning\": 1, \"Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration\": 1, \"Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=vlm\", \"value_kinds\": {}, \"values\": {\"title\": [\"Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems\", \"DS-VLM: Diffusion Supervision Vision Language Model\", \"LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models\", \"Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning\", \"Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting\", \"CoMemo: LVLMs Need Image Context with Image Memory\", \"Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?\", \"Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration\", \"DIS-CO: Discovering Copyrighted Content in VLMs Training Data\", \"From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs\", \"Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas\", \"SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference\", \"Probing Visual Language Priors in VLMs\", \"Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision\", \"TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d00db1ff4231d1719ade", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=162800", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-d00db1ff4231d1719ade\", \"input\": \"dataset/html/liveweb-ie-d00db1ff4231d1719ade.html\", \"input_sha256\": \"a9161a61c14dc69a595113efd7f1074a152d0e6ad2cecace49c1038171fc644f\", \"original_reference\": {\"author_profile_link\": [\"imis.php?module=person&persid=41992\"], \"photo_title\": [\"Bonellia viridis, Fig.2\"]}, \"qualification\": {\"input_sha256\": \"a9161a61c14dc69a595113efd7f1074a152d0e6ad2cecace49c1038171fc644f\", \"observed_at\": \"2026-11-06T10:07:31Z\", \"reference_sha256\": \"360bdeb1eac232cedebc83f5ccdd69a5ed9c0b3cba720a28e1d825332eda98a0\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=162800\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the author link and the photo title from the page.\", \"schema\": {\"properties\": {\"author_profile_link\": {\"description\": \"Retrieve the author link and the photo title from the page.; target attribute: author_profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"photo_title\": {\"description\": \"Retrieve the author link and the photo title from the page.; target attribute: photo_title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author_profile_link\", \"photo_title\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"author_profile_link\": {\"imis.php?module=person&persid=41992\": 1}, \"photo_title\": {\"Bonellia viridis, Fig.2\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=162800\", \"value_kinds\": {\"author_profile_link\": \"url\"}, \"values\": {\"author_profile_link\": [\"imis.php?module=person&persid=41992\"], \"photo_title\": [\"Bonellia viridis, Fig.2\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-916303eb74deed9430a0", "input": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=game", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-916303eb74deed9430a0\", \"input\": \"dataset/html/liveweb-ie-916303eb74deed9430a0.html\", \"input_sha256\": \"bf46a546e17de056d419bdc8a91049e9cb68b951ff0f6050d019b7f636ee2809\", \"original_reference\": {\"title\": [\"Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games\", \"Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games\", \"Regret Minimization in Stackelberg Games with Side Information\", \"Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games\", \"EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas\", \"Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation\", \"Self-playing Adversarial Language Game Enhances LLM Reasoning\", \"Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models\", \"On Tractable $\\\\Phi$-Equilibria in Non-Concave Games\", \"Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms\", \"Efficient $\\\\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games\", \"Accelerated Regularized Learning in Finite N-Person Games\", \"Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms\", \"GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations\", \"Learning the Expected Core of Strictly Convex Stochastic Cooperative Games\", \"AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games\", \"Learning Optimal Tax Design in Nonatomic Congestion Games\", \"Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem\", \"Local and Adaptive Mirror Descents in Extensive-Form Games\", \"On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games\", \"No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests\", \"On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games\", \"Paths to Equilibrium in Games\", \"Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding\", \"WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games\", \"Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions\", \"Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game\", \"GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps\", \"Convergence of $\\\\text{log}(1/\\\\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis\", \"Extensive-Form Game Solving via Blackwell Approachability on Treeplexes\", \"Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models\", \"Bandits with Preference Feedback: A Stackelberg Game Perspective\", \"Polynomial-Time Computation of Exact $\\\\Phi$-Equilibria in Polyhedral Games\", \"GAVEL: Generating Games via Evolution and Language Models\"]}, \"qualification\": {\"input_sha256\": \"bf46a546e17de056d419bdc8a91049e9cb68b951ff0f6050d019b7f636ee2809\", \"observed_at\": \"2026-11-06T10:07:17Z\", \"reference_sha256\": \"ba084df2245eb2cc974c024f3c5d902ea35edf2ebe2a9e57f4d5fe0b862b4b87\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=game\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the titles of every paper on this page\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the titles of every paper on this page; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"Accelerated Regularized Learning in Finite N-Person Games\": 1, \"AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games\": 1, \"Bandits with Preference Feedback: A Stackelberg Game Perspective\": 1, \"Convergence of $\\\\text{log}(1/\\\\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis\": 1, \"Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions\": 1, \"EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas\": 1, \"Efficient $\\\\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games\": 1, \"Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game\": 1, \"Extensive-Form Game Solving via Blackwell Approachability on Treeplexes\": 1, \"Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms\": 1, \"GAVEL: Generating Games via Evolution and Language Models\": 1, \"GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations\": 1, \"GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps\": 1, \"Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem\": 1, \"Learning Optimal Tax Design in Nonatomic Congestion Games\": 1, \"Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms\": 1, \"Learning the Expected Core of Strictly Convex Stochastic Cooperative Games\": 1, \"Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games\": 1, \"Local and Adaptive Mirror Descents in Extensive-Form Games\": 1, \"Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models\": 1, \"Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games\": 1, \"No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests\": 1, \"On Tractable $\\\\Phi$-Equilibria in Non-Concave Games\": 1, \"On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games\": 1, \"On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games\": 1, \"Paths to Equilibrium in Games\": 1, \"Polynomial-Time Computation of Exact $\\\\Phi$-Equilibria in Polyhedral Games\": 1, \"Regret Minimization in Stackelberg Games with Side Information\": 1, \"Self-playing Adversarial Language Game Enhances LLM Reasoning\": 1, \"Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding\": 1, \"Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games\": 1, \"Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models\": 1, \"Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation\": 1, \"WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=game\", \"value_kinds\": {}, \"values\": {\"title\": [\"Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games\", \"Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games\", \"Regret Minimization in Stackelberg Games with Side Information\", \"Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games\", \"EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas\", \"Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation\", \"Self-playing Adversarial Language Game Enhances LLM Reasoning\", \"Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models\", \"On Tractable $\\\\Phi$-Equilibria in Non-Concave Games\", \"Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms\", \"Efficient $\\\\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games\", \"Accelerated Regularized Learning in Finite N-Person Games\", \"Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms\", \"GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations\", \"Learning the Expected Core of Strictly Convex Stochastic Cooperative Games\", \"AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games\", \"Learning Optimal Tax Design in Nonatomic Congestion Games\", \"Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem\", \"Local and Adaptive Mirror Descents in Extensive-Form Games\", \"On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games\", \"No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests\", \"On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games\", \"Paths to Equilibrium in Games\", \"Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding\", \"WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games\", \"Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions\", \"Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game\", \"GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps\", \"Convergence of $\\\\text{log}(1/\\\\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis\", \"Extensive-Form Game Solving via Blackwell Approachability on Treeplexes\", \"Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models\", \"Bandits with Preference Feedback: A Stackelberg Game Perspective\", \"Polynomial-Time Computation of Exact $\\\\Phi$-Equilibria in Polyhedral Games\", \"GAVEL: Generating Games via Evolution and Language Models\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-b084d6a60ddbf0ee924b", "input": "http://quotes.toscrape.com/tag/inspirational/", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-b084d6a60ddbf0ee924b\", \"input\": \"dataset/html/liveweb-ie-b084d6a60ddbf0ee924b.html\", \"input_sha256\": \"621f1d7aa5d022e7610e72bdcebe11001ec3d2f983ff0fb50fec3dedc5acd937\", \"original_reference\": {\"tag_link\": [\"/tag/inspirational/page/1/\"]}, \"qualification\": {\"input_sha256\": \"621f1d7aa5d022e7610e72bdcebe11001ec3d2f983ff0fb50fec3dedc5acd937\", \"observed_at\": \"2026-11-06T10:08:09Z\", \"reference_sha256\": \"c52337ccd5f86ec91bfa19dd5ab49ebd65ae765f63790abf5a9dd56c8dfd8e72\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/tag/inspirational/\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch link of the current viewing tag of the quote\", \"schema\": {\"properties\": {\"tag_link\": {\"description\": \"Fetch link of the current viewing tag of the quote; target attribute: tag_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"tag_link\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"tag_link\": {\"/tag/inspirational/page/1/\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/tag/inspirational/\", \"value_kinds\": {\"tag_link\": \"url\"}, \"values\": {\"tag_link\": [\"/tag/inspirational/page/1/\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-14ce653f2f30c096e65f", "input": "https://sandbox.oxylabs.io/products/category/xbox-platform/xbox-one", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-14ce653f2f30c096e65f\", \"input\": \"dataset/html/liveweb-ie-14ce653f2f30c096e65f.html\", \"input_sha256\": \"566685bb821fd8eae013919b3e169e54fe87b98708148e48c93e9e97b3d16231\", \"original_reference\": {\"game_count\": [\"98\"]}, \"qualification\": {\"input_sha256\": \"566685bb821fd8eae013919b3e169e54fe87b98708148e48c93e9e97b3d16231\", \"observed_at\": \"2026-11-06T10:08:05Z\", \"reference_sha256\": \"1088da2a2ce15098dfead9edaa974d83307fc9a43aa310dced81892a84ad0eab\", \"source_supported_corrections\": [], \"source_url\": \"https://sandbox.oxylabs.io/products/category/xbox-platform/xbox-one\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Identify how many games belong to the current platform\", \"schema\": {\"properties\": {\"game_count\": {\"description\": \"Identify how many games belong to the current platform; target attribute: game_count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"game_count\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"game_count\": {\"98\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/category/xbox-platform/xbox-one\", \"value_kinds\": {}, \"values\": {\"game_count\": [\"98\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-37790f265045bace3597", "input": "https://www.scrapethissite.com/pages/forms/?page_num=14", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-37790f265045bace3597\", \"input\": \"dataset/html/liveweb-ie-37790f265045bace3597.html\", \"input_sha256\": \"dee2ea0d9fa4fe2b617a2323e67a2d188a39bdb85f066236b1bb4dface6e542d\", \"original_reference\": {\"year\": [\"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2002\", \"2003\", \"2003\", \"2003\", \"2003\", \"2003\", \"2003\", \"2003\", \"2003\"]}, \"qualification\": {\"input_sha256\": \"dee2ea0d9fa4fe2b617a2323e67a2d188a39bdb85f066236b1bb4dface6e542d\", \"observed_at\": \"2026-11-06T10:07:58Z\", \"reference_sha256\": \"a8a4a5ea19035a5261a2c5594ab11de5af057edc798379660781e37a6cb10c60\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=14\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Return the whole set of years\", \"schema\": {\"properties\": {\"year\": {\"description\": \"Return the whole set of years; target attribute: year\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"year\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"year\": {\"2002\": 17, \"2003\": 8}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=14\", \"value_kinds\": {}, \"values\": {\"year\": [\"2002\", \"2003\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-24d2ea7ea337f70e41b7", "input": "https://www.thecocktaildb.com/browse/letter/p", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-24d2ea7ea337f70e41b7\", \"input\": \"dataset/html/liveweb-ie-24d2ea7ea337f70e41b7.html\", \"input_sha256\": \"da7f7ca70d389b93db9990f5b11256d345779ea54c290a526f6b0d6958da7312\", \"original_reference\": {\"cocktail\": [\"Paloma\", \"Paradise\", \"Passion Fruit Martini\", \"Pegu Club\", \"Penicillin\", \"Pina Colada\", \"Pineapple Gingerale Smoothie\", \"Pineapple Paloma\", \"Pink Gin\", \"Pink Lady\", \"Pink Moon\", \"Pink Panty Pulldowns\", \"Pink Penocha\", \"Pisco Sour\", \"Planter's Punch\", \"Planter’s Punch\", \"Popped cherry\", \"Poppy Cocktail\", \"Pornstar Martini\", \"Port And Starboard\", \"Port Wine Cocktail\", \"Port Wine Flip\", \"Porto flip\", \"Pure Passion\", \"Pysch Vitamin Light\"]}, \"qualification\": {\"input_sha256\": \"da7f7ca70d389b93db9990f5b11256d345779ea54c290a526f6b0d6958da7312\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"8e07b150589a2fd052fbab6ee399fb36acc6c36504b850eead31d12c19bc46bc\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/browse/letter/p\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the list of every drink's name\", \"schema\": {\"properties\": {\"cocktail\": {\"description\": \"Fetch the list of every drink's name; target attribute: cocktail\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"cocktail\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"cocktail\": {\"Paloma\": 1, \"Paradise\": 1, \"Passion Fruit Martini\": 1, \"Pegu Club\": 1, \"Penicillin\": 1, \"Pina Colada\": 1, \"Pineapple Gingerale Smoothie\": 1, \"Pineapple Paloma\": 1, \"Pink Gin\": 1, \"Pink Lady\": 1, \"Pink Moon\": 1, \"Pink Panty Pulldowns\": 1, \"Pink Penocha\": 1, \"Pisco Sour\": 1, \"Planter's Punch\": 1, \"Planter’s Punch\": 1, \"Popped cherry\": 1, \"Poppy Cocktail\": 1, \"Pornstar Martini\": 1, \"Port And Starboard\": 1, \"Port Wine Cocktail\": 1, \"Port Wine Flip\": 1, \"Porto flip\": 1, \"Pure Passion\": 1, \"Pysch Vitamin Light\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/browse/letter/p\", \"value_kinds\": {}, \"values\": {\"cocktail\": [\"Paloma\", \"Paradise\", \"Passion Fruit Martini\", \"Pegu Club\", \"Penicillin\", \"Pina Colada\", \"Pineapple Gingerale Smoothie\", \"Pineapple Paloma\", \"Pink Gin\", \"Pink Lady\", \"Pink Moon\", \"Pink Panty Pulldowns\", \"Pink Penocha\", \"Pisco Sour\", \"Planter's Punch\", \"Planter’s Punch\", \"Popped cherry\", \"Poppy Cocktail\", \"Pornstar Martini\", \"Port And Starboard\", \"Port Wine Cocktail\", \"Port Wine Flip\", \"Porto flip\", \"Pure Passion\", \"Pysch Vitamin Light\"]}}"}
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{"family": "structured-field-extraction", "id": "liveweb-ie-179c4caf33796c8e53d5", "input": "https://www.thesportsdb.com/player/34146309-karim-benzema", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-179c4caf33796c8e53d5\", \"input\": \"dataset/html/liveweb-ie-179c4caf33796c8e53d5.html\", \"input_sha256\": \"4e22dfeeb5ec7bc33347f34a0a2386bf3d29f9805b17a1672f4202712b133394\", \"original_reference\": {\"profile_link\": [\"/player/34146309-karim-benzema\"]}, \"qualification\": {\"input_sha256\": \"4e22dfeeb5ec7bc33347f34a0a2386bf3d29f9805b17a1672f4202712b133394\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"effcf94e3f7f5d385d0f25f6e59ff98b40f847bdc41be433165a511d63b8460f\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/player/34146309-karim-benzema\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Give me the link of the player detail\", \"schema\": {\"properties\": {\"profile_link\": {\"description\": \"Give me the link of the player detail; target attribute: profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"profile_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"profile_link\": {\"/player/34146309-karim-benzema\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/player/34146309-karim-benzema\", \"value_kinds\": {\"profile_link\": \"url\"}, \"values\": {\"profile_link\": [\"/player/34146309-karim-benzema\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-22a135e4383ed1721753", "input": "https://arxiv.org/abs/2401.08671", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-22a135e4383ed1721753\", \"input\": \"dataset/html/liveweb-ie-22a135e4383ed1721753.html\", \"input_sha256\": \"3be93cfdacbd2918cb944a01c83a137bdd7bd7b10935f8588d29e130b4537c32\", \"original_reference\": {\"pdf_link\": [\"/pdf/2401.08671\"], \"title\": [\"DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference\"]}, \"qualification\": {\"input_sha256\": \"3be93cfdacbd2918cb944a01c83a137bdd7bd7b10935f8588d29e130b4537c32\", \"observed_at\": \"2026-11-06T10:07:05Z\", \"reference_sha256\": \"0c6ccfbf3e7940061962d56dc646d46ec56711ca2a1bfdb8d3fdf1248683018b\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.08671\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title and pdf links of the paper\", \"schema\": {\"properties\": {\"pdf_link\": {\"description\": \"Extract the title and pdf links of the paper; target attribute: pdf_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Extract the title and pdf links of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"pdf_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"pdf_link\": {\"/pdf/2401.08671\": 1}, \"title\": {\"DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.08671\", \"value_kinds\": {\"pdf_link\": \"url\"}, \"values\": {\"pdf_link\": [\"/pdf/2401.08671\"], \"title\": [\"DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-b8059c9321bf3aec391e", "input": "https://books.toscrape.com/catalogue/page-48.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-b8059c9321bf3aec391e\", \"input\": \"dataset/html/liveweb-ie-b8059c9321bf3aec391e.html\", \"input_sha256\": \"6edb9a3537722edca0e6cfd10f2fb24c030dd63bdb11acd2718d05e16e5974b4\", \"original_reference\": {\"book_link\": [\"the-bhagavad-gita_60/index.html\", \"the-bette-davis-club_59/index.html\", \"the-art-of-not-breathing_58/index.html\", \"taking-shots-assassins-1_57/index.html\", \"starlark_56/index.html\", \"skip-beat-vol-01-skip-beat-1_55/index.html\", \"sister-sable-the-mad-queen-1_54/index.html\", \"shatter-me-shatter-me-1_53/index.html\", \"shameless_52/index.html\", \"shadow-rites-jane-yellowrock-10_51/index.html\", \"settling-the-score-the-summer-games-1_50/index.html\", \"sense-and-sensibility_49/index.html\", \"saga-volume-1-saga-collected-editions-1_48/index.html\", \"rhythm-chord-malykhin_47/index.html\", \"rat-queens-vol-1-sass-sorcery-rat-queens-collected-editions-1-5_46/index.html\", \"paradise-lost-paradise-1_45/index.html\", \"paper-girls-vol-1-paper-girls-1-5_44/index.html\", \"ouran-high-school-host-club-vol-1-ouran-high-school-host-club-1_43/index.html\", \"origins-alphas-05_42/index.html\", \"one-second-seven-7_41/index.html\"]}, \"qualification\": {\"input_sha256\": \"6edb9a3537722edca0e6cfd10f2fb24c030dd63bdb11acd2718d05e16e5974b4\", \"observed_at\": \"2026-11-06T10:08:15Z\", \"reference_sha256\": \"843a38b6b44b4d08f1c7130689cd1f93fa2c615a4d41b51288f96b630ba2bd1e\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/page-48.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all book links\", \"schema\": {\"properties\": {\"book_link\": {\"description\": \"Extract all book links; target attribute: book_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"book_link\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"book_link\": {\"one-second-seven-7_41/index.html\": 1, \"origins-alphas-05_42/index.html\": 1, \"ouran-high-school-host-club-vol-1-ouran-high-school-host-club-1_43/index.html\": 1, \"paper-girls-vol-1-paper-girls-1-5_44/index.html\": 1, \"paradise-lost-paradise-1_45/index.html\": 1, \"rat-queens-vol-1-sass-sorcery-rat-queens-collected-editions-1-5_46/index.html\": 1, \"rhythm-chord-malykhin_47/index.html\": 1, \"saga-volume-1-saga-collected-editions-1_48/index.html\": 1, \"sense-and-sensibility_49/index.html\": 1, \"settling-the-score-the-summer-games-1_50/index.html\": 1, \"shadow-rites-jane-yellowrock-10_51/index.html\": 1, \"shameless_52/index.html\": 1, \"shatter-me-shatter-me-1_53/index.html\": 1, \"sister-sable-the-mad-queen-1_54/index.html\": 1, \"skip-beat-vol-01-skip-beat-1_55/index.html\": 1, \"starlark_56/index.html\": 1, \"taking-shots-assassins-1_57/index.html\": 1, \"the-art-of-not-breathing_58/index.html\": 1, \"the-bette-davis-club_59/index.html\": 1, \"the-bhagavad-gita_60/index.html\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/page-48.html\", \"value_kinds\": {\"book_link\": \"url\"}, \"values\": {\"book_link\": [\"the-bhagavad-gita_60/index.html\", \"the-bette-davis-club_59/index.html\", \"the-art-of-not-breathing_58/index.html\", \"taking-shots-assassins-1_57/index.html\", \"starlark_56/index.html\", \"skip-beat-vol-01-skip-beat-1_55/index.html\", \"sister-sable-the-mad-queen-1_54/index.html\", \"shatter-me-shatter-me-1_53/index.html\", \"shameless_52/index.html\", \"shadow-rites-jane-yellowrock-10_51/index.html\", \"settling-the-score-the-summer-games-1_50/index.html\", \"sense-and-sensibility_49/index.html\", \"saga-volume-1-saga-collected-editions-1_48/index.html\", \"rhythm-chord-malykhin_47/index.html\", \"rat-queens-vol-1-sass-sorcery-rat-queens-collected-editions-1-5_46/index.html\", \"paradise-lost-paradise-1_45/index.html\", \"paper-girls-vol-1-paper-girls-1-5_44/index.html\", \"ouran-high-school-host-club-vol-1-ouran-high-school-host-club-1_43/index.html\", \"origins-alphas-05_42/index.html\", \"one-second-seven-7_41/index.html\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2c6ec2dabae75c2b3212", "input": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Taycan&srchtyp=ymm&pageno=1&rowLimit=50", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-2c6ec2dabae75c2b3212\", \"input\": \"dataset/html/liveweb-ie-2c6ec2dabae75c2b3212.html\", \"input_sha256\": \"5cf3e1668c35e2626bc7e0513c41fdcb747ecb084536e923e82804b4ddae9f8b\", \"original_reference\": {\"annual_fuel_cost\": [\"$900\", \"$900\", \"$900\", \"$950\", \"$950\", \"$950\", \"$950\", \"$950\", \"$950\", \"$950\", \"$1,000\", \"$1,000\"]}, \"qualification\": {\"input_sha256\": \"5cf3e1668c35e2626bc7e0513c41fdcb747ecb084536e923e82804b4ddae9f8b\", \"observed_at\": \"2026-11-06T10:07:43Z\", \"reference_sha256\": \"6d2e19fbafbfee3912bb40117ad18aff8e40f38842e5183407a9759c40e991a0\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Taycan&srchtyp=ymm&pageno=1&rowLimit=50\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please extract all annual fuel cost for each car\", \"schema\": {\"properties\": {\"annual_fuel_cost\": {\"description\": \"Please extract all annual fuel cost for each car; target attribute: annual_fuel_cost\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"annual_fuel_cost\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"annual_fuel_cost\": {\"$1,000\": 2, \"$900\": 3, \"$950\": 7}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Taycan&srchtyp=ymm&pageno=1&rowLimit=50\", \"value_kinds\": {}, \"values\": {\"annual_fuel_cost\": [\"$900\", \"$950\", \"$1,000\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2dd9023d9d4ef701bb3c", "input": "https://huggingface.co/papers/2408.17253", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-2dd9023d9d4ef701bb3c\", \"input\": \"dataset/html/liveweb-ie-2dd9023d9d4ef701bb3c.html\", \"input_sha256\": \"a6cec47e764a52119997d6a1173ad93e59bc21f7c34fcf9230365ca858d60004\", \"original_reference\": {\"author\": [\"Mouxiang Chen\", \"Lefei Shen\", \"Zhuo Li\", \"Xiaoyun Joy Wang\", \"Jianling Sun\", \"Chenghao Liu\"]}, \"qualification\": {\"input_sha256\": \"a6cec47e764a52119997d6a1173ad93e59bc21f7c34fcf9230365ca858d60004\", \"observed_at\": \"2026-11-06T10:07:38Z\", \"reference_sha256\": \"6dd87e0a4791b9ad5dc82df1cc5e061309cddd14e87fa4a9fbac6f35db9bb7fb\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/2408.17253\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Can you fetch all the names of the authors?\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Can you fetch all the names of the authors?; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"author\": {\"Chenghao Liu\": 1, \"Jianling Sun\": 1, \"Lefei Shen\": 1, \"Mouxiang Chen\": 1, \"Xiaoyun Joy Wang\": 1, \"Zhuo Li\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/2408.17253\", \"value_kinds\": {}, \"values\": {\"author\": [\"Mouxiang Chen\", \"Lefei Shen\", \"Zhuo Li\", \"Xiaoyun Joy Wang\", \"Jianling Sun\", \"Chenghao Liu\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-f0dc801506ecbd9489c4", "input": "https://iclr.cc/virtual/2025/poster/30748", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-f0dc801506ecbd9489c4\", \"input\": \"dataset/html/liveweb-ie-f0dc801506ecbd9489c4.html\", \"input_sha256\": \"3a5447905738085b5c30cb99f6ceb2d26d92484a5053cbf96e97de651b72c258\", \"original_reference\": {\"title\": [\"Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models\"]}, \"qualification\": {\"input_sha256\": \"3a5447905738085b5c30cb99f6ceb2d26d92484a5053cbf96e97de651b72c258\", \"observed_at\": \"2026-11-06T10:07:09Z\", \"reference_sha256\": \"537b12b826331e90b0b136379daa0f57dcbb4d645f5a54696ac1622f7c6270e7\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/poster/30748\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the research paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the research paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/poster/30748\", \"value_kinds\": {}, \"values\": {\"title\": [\"Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-754ffe1c10555ff01bd8", "input": "https://icml.cc/virtual/2025/poster/44762", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-754ffe1c10555ff01bd8\", \"input\": \"dataset/html/liveweb-ie-754ffe1c10555ff01bd8.html\", \"input_sha256\": \"8fd021afb676ade86d311ce026c266444424a69cc16c04d611f63425444d60b2\", \"original_reference\": {\"title\": [\"Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting\"]}, \"qualification\": {\"input_sha256\": \"8fd021afb676ade86d311ce026c266444424a69cc16c04d611f63425444d60b2\", \"observed_at\": \"2026-11-06T10:07:23Z\", \"reference_sha256\": \"c67b903a7b57cfb4bcb247961cd6dc4f6b4975163feb1fab077db1bb238ad010\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/poster/44762\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the title of this paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Fetch the title of this paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/poster/44762\", \"value_kinds\": {}, \"values\": {\"title\": [\"Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-9312273e0c4d6f271302", "input": "https://marinespecies.org/photogallery.php?album=684", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-9312273e0c4d6f271302\", \"input\": \"dataset/html/liveweb-ie-9312273e0c4d6f271302.html\", \"input_sha256\": \"8f94533b3c08ed20d60ce5f8a06d14b928ea3e1274b966b1736263ef73065ac8\", \"original_reference\": {\"species_image\": [\"https://images.marinespecies.org/thumbs/166273_dina-imeretiensis-prometheus-cave-holotype-and-paratype.jpg?w=150\", \"https://images.marinespecies.org/thumbs/138529_branchellion-spindolaorum.jpg?h=236\", \"https://images.marinespecies.org/thumbs/136440_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?w=150\", \"https://images.marinespecies.org/thumbs/136433_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?h=240\", \"https://images.marinespecies.org/thumbs/133625_ornithobdella-edentula-original-image-is-inaturalist-2013-at.jpg?w=150\", \"https://images.marinespecies.org/thumbs/72272_cryobdella-ljadovi-external-and-internal-structures.png?h=225\", \"https://images.marinespecies.org/thumbs/72271_cryobdella-ljadovi-ventral-view.png?h=240\", \"https://images.marinespecies.org/thumbs/41394_van-beneden-en-amp-hesse-1864-pl-03.jpg?h=208\", \"https://images.marinespecies.org/thumbs/41393_van-beneden-en-amp-hesse-1864-pl-02.jpg?h=202\", \"https://images.marinespecies.org/thumbs/41392_van-beneden-en-amp-hesse-1864-pl-01.jpg?h=208\", \"https://images.marinespecies.org/thumbs/1758_pontobdella-muricata-linnaeus-1758.jpg?w=150\"]}, \"qualification\": {\"input_sha256\": \"8f94533b3c08ed20d60ce5f8a06d14b928ea3e1274b966b1736263ef73065ac8\", \"observed_at\": \"2026-11-06T10:07:31Z\", \"reference_sha256\": \"43119a99c3e0f3a82b7a5c9882aca7643b4d0caebdeda4b82331f057cf06193d\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=684\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please extract all photo urls.\", \"schema\": {\"properties\": {\"species_image\": {\"description\": \"Please extract all photo urls.; 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{"family": "structured-field-extraction", "id": "liveweb-ie-ff5f85f64d02bb9f5608", "input": "https://neurips.cc/virtual/2024/poster/96666", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-ff5f85f64d02bb9f5608\", \"input\": \"dataset/html/liveweb-ie-ff5f85f64d02bb9f5608.html\", \"input_sha256\": \"a01eb870cb3776c058471ac28b4da5d6c739650e4b5c902af788a9bbc2a19c8f\", \"original_reference\": {\"title\": [\"AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis\"]}, \"qualification\": {\"input_sha256\": \"a01eb870cb3776c058471ac28b4da5d6c739650e4b5c902af788a9bbc2a19c8f\", \"observed_at\": \"2026-11-06T10:07:16Z\", \"reference_sha256\": \"cee25c7121edef58a709883e7dc8ebd497cc9e77eaf2eabc4c64551b207e9a98\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/poster/96666\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/poster/96666\", \"value_kinds\": {}, \"values\": {\"title\": [\"AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis\"]}}"}
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{"family": "structured-field-extraction", "id": "liveweb-ie-3ec097910e715d2d4fe0", "input": "https://www.thecocktaildb.com/drink/17206-mint-julep", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-3ec097910e715d2d4fe0\", \"input\": \"dataset/html/liveweb-ie-3ec097910e715d2d4fe0.html\", \"input_sha256\": \"78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906\", \"original_reference\": {\"ingredient\": [\"4 fresh  Mint\", \"2 1/2 oz  Bourbon\", \"1 tsp  Powdered sugar\", \"2 tsp  Water\"], \"ingredient_image\": [\"../images/ingredients/mint-medium.png\", \"../images/ingredients/bourbon-medium.png\", \"../images/ingredients/powdered sugar-medium.png\", \"../images/ingredients/water-medium.png\"], \"ingredient_link\": [\"/ingredient/337-mint\", \"/ingredient/71-bourbon\", \"/ingredient/409-powdered-sugar\", \"/ingredient/513-water\"]}, \"qualification\": {\"input_sha256\": \"78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"824cb4a4090e73b490589b88d6e916d5dc8351990b4e8e74bb563324a9c3e98a\", \"source_supported_corrections\": [{\"accepted\": \"4 fresh Mint\", \"field\": \"ingredient\", \"original\": \"4 fresh  Mint\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906\"}, {\"accepted\": \"2 1/2 oz Bourbon\", \"field\": \"ingredient\", \"original\": \"2 1/2 oz  Bourbon\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906\"}, {\"accepted\": \"1 tsp Powdered sugar\", \"field\": \"ingredient\", \"original\": \"1 tsp  Powdered sugar\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906\"}, {\"accepted\": \"2 tsp Water\", \"field\": \"ingredient\", \"original\": \"2 tsp  Water\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906\"}], \"source_url\": \"https://www.thecocktaildb.com/drink/17206-mint-julep\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_image\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_link\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient\", \"ingredient_link\", \"ingredient_image\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"ingredient\": {\"1 tsp Powdered sugar\": 1, \"2 1/2 oz Bourbon\": 1, \"2 tsp Water\": 1, \"4 fresh Mint\": 1}, \"ingredient_image\": {\"../images/ingredients/bourbon-medium.png\": 1, \"../images/ingredients/mint-medium.png\": 1, \"../images/ingredients/powdered sugar-medium.png\": 1, \"../images/ingredients/water-medium.png\": 1}, \"ingredient_link\": {\"/ingredient/337-mint\": 1, \"/ingredient/409-powdered-sugar\": 1, \"/ingredient/513-water\": 1, \"/ingredient/71-bourbon\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/drink/17206-mint-julep\", \"value_kinds\": {\"ingredient_image\": \"url\", \"ingredient_link\": \"url\"}, \"values\": {\"ingredient\": [\"4 fresh Mint\", \"2 1/2 oz Bourbon\", \"1 tsp Powdered sugar\", \"2 tsp Water\"], \"ingredient_image\": [\"../images/ingredients/mint-medium.png\", \"../images/ingredients/bourbon-medium.png\", \"../images/ingredients/powdered sugar-medium.png\", \"../images/ingredients/water-medium.png\"], \"ingredient_link\": [\"/ingredient/337-mint\", \"/ingredient/71-bourbon\", \"/ingredient/409-powdered-sugar\", \"/ingredient/513-water\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ce99a80790705a223293", "input": "https://www.themealdb.com/meal/52885--bubble-&-squeak-recipe", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-ce99a80790705a223293\", \"input\": \"dataset/html/liveweb-ie-ce99a80790705a223293.html\", \"input_sha256\": \"42b16a575961f50196e57a8cc01f6da82c322355bdb173d9319363aca409d456\", \"original_reference\": {\"ingredient\": [\"1 tbs Butter\", \"4 Bacon\", \"1 finely sliced Onion\", \"1 chopped Garlic Clove\", \"20 Brussels Sprouts\", \"400g Potatoes\"], \"ingredient_image\": [\"../images/ingredients/Butter-medium.png\", \"../images/ingredients/Bacon-medium.png\", \"../images/ingredients/Onion-medium.png\", \"../images/ingredients/Garlic_Clove-medium.png\", \"../images/ingredients/Brussels_Sprouts-medium.png\", \"../images/ingredients/Potatoes-medium.png\"], \"ingredient_link\": [\"/ingredient/41-butter\", \"/ingredient/14-bacon\", \"/ingredient/364-onion\", \"/ingredient/150-garlic-clove\", \"/ingredient/456-brussels-sprouts\", \"/ingredient/253-potatoes\"]}, \"qualification\": {\"input_sha256\": \"42b16a575961f50196e57a8cc01f6da82c322355bdb173d9319363aca409d456\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"0995e295add4ac680ce4db64d247100e6a947c188da09e6b5d6f3b845e20fc1a\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/meal/52885--bubble-&-squeak-recipe\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_image\": {\"description\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_link\": {\"description\": \"Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient_link\", \"ingredient\", \"ingredient_image\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"ingredient\": {\"1 chopped Garlic Clove\": 1, \"1 finely sliced Onion\": 1, \"1 tbs Butter\": 1, \"20 Brussels Sprouts\": 1, \"4 Bacon\": 1, \"400g Potatoes\": 1}, \"ingredient_image\": {\"../images/ingredients/Bacon-medium.png\": 1, \"../images/ingredients/Brussels_Sprouts-medium.png\": 1, \"../images/ingredients/Butter-medium.png\": 1, \"../images/ingredients/Garlic_Clove-medium.png\": 1, \"../images/ingredients/Onion-medium.png\": 1, \"../images/ingredients/Potatoes-medium.png\": 1}, \"ingredient_link\": {\"/ingredient/14-bacon\": 1, \"/ingredient/150-garlic-clove\": 1, \"/ingredient/253-potatoes\": 1, \"/ingredient/364-onion\": 1, \"/ingredient/41-butter\": 1, \"/ingredient/456-brussels-sprouts\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/meal/52885--bubble-&-squeak-recipe\", \"value_kinds\": {\"ingredient_image\": \"url\", \"ingredient_link\": \"url\"}, \"values\": {\"ingredient\": [\"1 tbs Butter\", \"4 Bacon\", \"1 finely sliced Onion\", \"1 chopped Garlic Clove\", \"20 Brussels Sprouts\", \"400g Potatoes\"], \"ingredient_image\": [\"../images/ingredients/Butter-medium.png\", \"../images/ingredients/Bacon-medium.png\", \"../images/ingredients/Onion-medium.png\", \"../images/ingredients/Garlic_Clove-medium.png\", \"../images/ingredients/Brussels_Sprouts-medium.png\", \"../images/ingredients/Potatoes-medium.png\"], \"ingredient_link\": [\"/ingredient/41-butter\", \"/ingredient/14-bacon\", \"/ingredient/364-onion\", \"/ingredient/150-garlic-clove\", \"/ingredient/456-brussels-sprouts\", \"/ingredient/253-potatoes\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d747a1abec64a483afaa", "input": "https://www.thesportsdb.com/league/5064-liga-mexicana-de-b%c3%a9isbol", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-d747a1abec64a483afaa\", \"input\": \"dataset/html/liveweb-ie-d747a1abec64a483afaa.html\", \"input_sha256\": \"f5a2d2ee8af3abc42d0cc33ef574e8d34ac5440fe1dde50d28cec561d02158de\", \"original_reference\": {\"team_link\": [\"/team/141998-acereros-de-monclova\", \"/team/141999-algodoneros-de-uni%c3%b3n-laguna\", \"/team/142007-bravos-de-le%c3%b3n\", \"/team/151312-caliente-de-durango\", \"/team/144284-charros-de-jalisco\", \"/team/148486-conspiradores-de-quer%c3%a9taro\", \"/team/142008-diablos-rojos-del-m%c3%a9xico\", \"/team/142304-dorados-de-chihuahua\", \"/team/142009-el-%c3%81guila-de-veracruz\", \"/team/142010-guerreros-de-oaxaca\", \"/team/142011-leones-de-yucat%c3%a1n\", \"/team/142012-olmecas-de-tabasco\", \"/team/142013-pericos-de-puebla\", \"/team/142014-piratas-de-campeche\", \"/team/142002-rieleros-de-aguascalientes\", \"/team/142003-saraperos-de-saltillo\", \"/team/142004-sultanes-de-monterrey\", \"/team/142005-tecolotes-de-los-dos-laredos\", \"/team/142015-tigres-de-quintana-roo\", \"/team/142006-toros-de-tijuana\"]}, \"qualification\": {\"input_sha256\": \"f5a2d2ee8af3abc42d0cc33ef574e8d34ac5440fe1dde50d28cec561d02158de\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"f4d8fb4f69202e98e71fe899267b1bdb76a734f71078dd8cd87138fb8b1c5c73\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/league/5064-liga-mexicana-de-b%c3%a9isbol\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"From the 'Teams' section at the bottom, get the URL for each team's page.\", \"schema\": {\"properties\": {\"team_link\": {\"description\": \"From the 'Teams' section at the bottom, get the URL for each team's page.; target attribute: team_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"team_link\": {\"/team/141998-acereros-de-monclova\": 1, \"/team/141999-algodoneros-de-uni%c3%b3n-laguna\": 1, \"/team/142002-rieleros-de-aguascalientes\": 1, \"/team/142003-saraperos-de-saltillo\": 1, \"/team/142004-sultanes-de-monterrey\": 1, \"/team/142005-tecolotes-de-los-dos-laredos\": 1, \"/team/142006-toros-de-tijuana\": 1, \"/team/142007-bravos-de-le%c3%b3n\": 1, \"/team/142008-diablos-rojos-del-m%c3%a9xico\": 1, \"/team/142009-el-%c3%81guila-de-veracruz\": 1, \"/team/142010-guerreros-de-oaxaca\": 1, \"/team/142011-leones-de-yucat%c3%a1n\": 1, \"/team/142012-olmecas-de-tabasco\": 1, \"/team/142013-pericos-de-puebla\": 1, \"/team/142014-piratas-de-campeche\": 1, \"/team/142015-tigres-de-quintana-roo\": 1, \"/team/142304-dorados-de-chihuahua\": 1, \"/team/144284-charros-de-jalisco\": 1, \"/team/148486-conspiradores-de-quer%c3%a9taro\": 1, \"/team/151312-caliente-de-durango\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/league/5064-liga-mexicana-de-b%c3%a9isbol\", \"value_kinds\": {\"team_link\": \"url\"}, \"values\": {\"team_link\": [\"/team/141998-acereros-de-monclova\", \"/team/141999-algodoneros-de-uni%c3%b3n-laguna\", \"/team/142007-bravos-de-le%c3%b3n\", \"/team/151312-caliente-de-durango\", \"/team/144284-charros-de-jalisco\", \"/team/148486-conspiradores-de-quer%c3%a9taro\", \"/team/142008-diablos-rojos-del-m%c3%a9xico\", \"/team/142304-dorados-de-chihuahua\", \"/team/142009-el-%c3%81guila-de-veracruz\", \"/team/142010-guerreros-de-oaxaca\", \"/team/142011-leones-de-yucat%c3%a1n\", \"/team/142012-olmecas-de-tabasco\", \"/team/142013-pericos-de-puebla\", \"/team/142014-piratas-de-campeche\", \"/team/142002-rieleros-de-aguascalientes\", \"/team/142003-saraperos-de-saltillo\", \"/team/142004-sultanes-de-monterrey\", \"/team/142005-tecolotes-de-los-dos-laredos\", \"/team/142015-tigres-de-quintana-roo\", \"/team/142006-toros-de-tijuana\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-5a7cce76459c7324d819", "input": "https://arxiv.org/abs/2401.04904", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-5a7cce76459c7324d819\", \"input\": \"dataset/html/liveweb-ie-5a7cce76459c7324d819.html\", \"input_sha256\": \"96238ad2a3d7e340dc02e250a5d51abfe70b27bed27c04859f329af9cb11258e\", \"original_reference\": {\"title\": [\"Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems\"]}, \"qualification\": {\"input_sha256\": \"96238ad2a3d7e340dc02e250a5d51abfe70b27bed27c04859f329af9cb11258e\", \"observed_at\": \"2026-11-06T10:07:06Z\", \"reference_sha256\": \"2d1343f8f5547703b5d4da2eb0e2cb2ff8792475ce1d5975112768e7e483e92c\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.04904\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the research paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the research paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"title\": {\"Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.04904\", \"value_kinds\": {}, \"values\": {\"title\": [\"Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-a7ade20781fbb5693133", "input": "https://books.toscrape.com/catalogue/a-court-of-thorns-and-roses-a-court-of-thorns-and-roses-1_874/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-a7ade20781fbb5693133\", \"input\": \"dataset/html/liveweb-ie-a7ade20781fbb5693133.html\", \"input_sha256\": \"e3401e67a2aac691cd6e41573a1dd03657003b95e9589d3a115d398bb58ee998\", \"original_reference\": {\"title\": [\"A Court of Thorns and Roses (A Court of Thorns and Roses #1)\"], \"upc\": [\"01d2001ac1e6f8a3\"]}, \"qualification\": {\"input_sha256\": \"e3401e67a2aac691cd6e41573a1dd03657003b95e9589d3a115d398bb58ee998\", \"observed_at\": \"2026-11-06T10:08:14Z\", \"reference_sha256\": \"9370909be2f8e72ba3e22a64acf5126469a8a5a498b046fc31def1ec11b022e8\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/a-court-of-thorns-and-roses-a-court-of-thorns-and-roses-1_874/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title and UPC of the book\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title and UPC of the book; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"upc\": {\"description\": \"Extract the title and UPC of the book; target attribute: upc\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"upc\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"title\": {\"A Court of Thorns and Roses (A Court of Thorns and Roses #1)\": 1}, \"upc\": {\"01d2001ac1e6f8a3\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/a-court-of-thorns-and-roses-a-court-of-thorns-and-roses-1_874/index.html\", \"value_kinds\": {}, \"values\": {\"title\": [\"A Court of Thorns and Roses (A Court of Thorns and Roses #1)\"], \"upc\": [\"01d2001ac1e6f8a3\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-a820a4d528cafb614547", "input": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47299", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-a820a4d528cafb614547\", \"input\": \"dataset/html/liveweb-ie-a820a4d528cafb614547.html\", \"input_sha256\": \"29e097c91ebe8cf39963c6aa96accddac3359a52f2195b52b11f36cc2ec360c9\", \"original_reference\": {\"tank_size\": [\"17.6 gallons\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg\"]}, \"qualification\": {\"input_sha256\": \"29e097c91ebe8cf39963c6aa96accddac3359a52f2195b52b11f36cc2ec360c9\", \"observed_at\": \"2026-11-06T10:07:42Z\", \"reference_sha256\": \"e8fedad673500ad9a9b53dd63b0938db14f1901d8699907b7d005e42c0ac5917\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47299\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the thumbnail image and the tank size of the car.\", \"schema\": {\"properties\": {\"tank_size\": {\"description\": \"Extract the thumbnail image and the tank size of the car.; target attribute: tank_size\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_image\": {\"description\": \"Extract the thumbnail image and the tank size of the car.; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_image\", \"tank_size\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"tank_size\": {\"17.6 gallons\": 1}, \"vehicle_image\": {\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47299\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"tank_size\": [\"17.6 gallons\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-285da3e5be1068028c6c", "input": "https://huggingface.co/papers/date/2024-05-31", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-285da3e5be1068028c6c\", \"input\": \"dataset/html/liveweb-ie-285da3e5be1068028c6c.html\", \"input_sha256\": \"43c9aa7a30c8ddd0ad61dbecde17c85a294c4bffce8162e049dc306ce2f3a36e\", \"original_reference\": {\"publish_date\": [\"May 31\"]}, \"qualification\": {\"input_sha256\": \"43c9aa7a30c8ddd0ad61dbecde17c85a294c4bffce8162e049dc306ce2f3a36e\", \"observed_at\": \"2026-11-06T10:07:38Z\", \"reference_sha256\": \"528ed0216059ea66c47d4b4dcc39f18dd7ac0fb038718f97f4c3c41a12c52272\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/date/2024-05-31\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the date when these papers were added\", \"schema\": {\"properties\": {\"publish_date\": {\"description\": \"Extract the date when these papers were added; target attribute: publish_date\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"publish_date\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"publish_date\": {\"May 31\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/date/2024-05-31\", \"value_kinds\": {}, \"values\": {\"publish_date\": [\"May 31\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-e0c956d88275b223e368", "input": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=tool", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-e0c956d88275b223e368\", \"input\": \"dataset/html/liveweb-ie-e0c956d88275b223e368.html\", \"input_sha256\": \"4be30e9c545af28849a714d61604f0314fd5bb852c455c1b0f7605db6ff01356\", \"original_reference\": {\"title\": [\"Euler Characteristic Tools for Topological Data Analysis\", \"AgentStudio: A Toolkit for Building General Virtual Agents\", \"Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage\", \"Tool-Planner: Task Planning with Clusters across Multiple Tools\", \"MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models\", \"ToolGen: Unified Tool Retrieval and Calling via Generation\", \"ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models\", \"BingoGuard: LLM Content Moderation Tools with Risk Levels\", \"Learning Evolving Tools for Large Language Models\", \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\", \"From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions\", \"ToolACE: Winning the Points of LLM Function Calling\"]}, \"qualification\": {\"input_sha256\": \"4be30e9c545af28849a714d61604f0314fd5bb852c455c1b0f7605db6ff01356\", \"observed_at\": \"2026-11-06T10:07:10Z\", \"reference_sha256\": \"e740cb9b3fee0a20fb2ac7dca2aa765e4b7c8ba64b1b067d587fc6be0a849202\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=tool\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all paper titles.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract all paper titles.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"AgentStudio: A Toolkit for Building General Virtual Agents\": 1, \"BingoGuard: LLM Content Moderation Tools with Risk Levels\": 1, \"Euler Characteristic Tools for Topological Data Analysis\": 1, \"From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions\": 1, \"Learning Evolving Tools for Large Language Models\": 1, \"MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models\": 1, \"Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage\": 1, \"Tool-Planner: Task Planning with Clusters across Multiple Tools\": 1, \"ToolACE: Winning the Points of LLM Function Calling\": 1, \"ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models\": 1, \"ToolGen: Unified Tool Retrieval and Calling via Generation\": 1, \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=tool\", \"value_kinds\": {}, \"values\": {\"title\": [\"Euler Characteristic Tools for Topological Data Analysis\", \"AgentStudio: A Toolkit for Building General Virtual Agents\", \"Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage\", \"Tool-Planner: Task Planning with Clusters across Multiple Tools\", \"MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models\", \"ToolGen: Unified Tool Retrieval and Calling via Generation\", \"ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models\", \"BingoGuard: LLM Content Moderation Tools with Risk Levels\", \"Learning Evolving Tools for Large Language Models\", \"When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings\", \"From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions\", \"ToolACE: Winning the Points of LLM Function Calling\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-c6ae0fa8a06e476824b0", "input": "https://icml.cc/virtual/2025/papers.html?filter=title&search=play", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-c6ae0fa8a06e476824b0\", \"input\": \"dataset/html/liveweb-ie-c6ae0fa8a06e476824b0.html\", \"input_sha256\": \"fde8279fc565f5b9f448659b548ef67f5075d0572042ec63cea828ad61662468\", \"original_reference\": {\"title\": [\"Robust Autonomy Emerges from Self-Play\", \"Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma\", \"AMPO: Active Multi Preference Optimization for Self-play Preference Selection\", \"PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning\", \"Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers\", \"Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion\", \"Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments\", \"Best of Both Worlds: Regret Minimization versus Minimax Play\", \"CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning\", \"Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval\", \"Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning\", \"Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games\", \"Online Curvature-Aware Replay: Leveraging $\\\\mathbf{2^{nd}}$ Order Information for Online Continual Learning\", \"On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks\", \"C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation\", \"Enhancing Logits Distillation with Plug&Play Kendall's  $\\\\tau$ Ranking Loss\", \"Improving Rationality in the Reasoning Process of Language Models through Self-playing Game\", \"Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters\", \"STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving\", \"DeepLayout: Learning Neural Representations of Circuit Placement Layout\", \"Autoencoder-Based Hybrid Replay for Class-Incremental Learning\"]}, \"qualification\": {\"input_sha256\": \"fde8279fc565f5b9f448659b548ef67f5075d0572042ec63cea828ad61662468\", \"observed_at\": \"2026-11-06T10:07:24Z\", \"reference_sha256\": \"8882d19734179073f4ee2aaac30c7c75f88c7a33e2e017b0afec0479033bf83d\", \"source_supported_corrections\": [{\"accepted\": \"Enhancing Logits Distillation with Plug&Play Kendall's $\\\\tau$ Ranking Loss\", \"field\": \"title\", \"original\": \"Enhancing Logits Distillation with Plug&Play Kendall's  $\\\\tau$ Ranking Loss\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"fde8279fc565f5b9f448659b548ef67f5075d0572042ec63cea828ad61662468\"}], \"source_url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=play\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every paper title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve every paper title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"AMPO: Active Multi Preference Optimization for Self-play Preference Selection\": 1, \"Autoencoder-Based Hybrid Replay for Class-Incremental Learning\": 1, \"Best of Both Worlds: Regret Minimization versus Minimax Play\": 1, \"C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation\": 1, \"CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning\": 1, \"Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers\": 1, \"Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning\": 1, \"DeepLayout: Learning Neural Representations of Circuit Placement Layout\": 1, \"Enhancing Logits Distillation with Plug&Play Kendall's $\\\\tau$ Ranking Loss\": 1, \"Improving Rationality in the Reasoning Process of Language Models through Self-playing Game\": 1, \"On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks\": 1, \"Online Curvature-Aware Replay: Leveraging $\\\\mathbf{2^{nd}}$ Order Information for Online Continual Learning\": 1, \"PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning\": 1, \"Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion\": 1, \"Robust Autonomy Emerges from Self-Play\": 1, \"STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving\": 1, \"Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games\": 1, \"Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma\": 1, \"Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters\": 1, \"Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments\": 1, \"Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=play\", \"value_kinds\": {}, \"values\": {\"title\": [\"Robust Autonomy Emerges from Self-Play\", \"Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma\", \"AMPO: Active Multi Preference Optimization for Self-play Preference Selection\", \"PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning\", \"Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers\", \"Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion\", \"Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments\", \"Best of Both Worlds: Regret Minimization versus Minimax Play\", \"CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning\", \"Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval\", \"Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning\", \"Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games\", \"Online Curvature-Aware Replay: Leveraging $\\\\mathbf{2^{nd}}$ Order Information for Online Continual Learning\", \"On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks\", \"C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation\", \"Enhancing Logits Distillation with Plug&Play Kendall's $\\\\tau$ Ranking Loss\", \"Improving Rationality in the Reasoning Process of Language Models through Self-playing Game\", \"Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters\", \"STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving\", \"DeepLayout: Learning Neural Representations of Circuit Placement Layout\", \"Autoencoder-Based Hybrid Replay for Class-Incremental Learning\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-99648fbe8ca04d11549a", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=48561", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-99648fbe8ca04d11549a\", \"input\": \"dataset/html/liveweb-ie-99648fbe8ca04d11549a.html\", \"input_sha256\": \"fdbf9ad2b6c67d256564521c54c32494478359d0ca01f3bb2e50222df96f86af\", \"original_reference\": {\"photo_title\": [\"Bonellia viridis\"], \"species_link\": [\"photogallery.php?album=2509\"]}, \"qualification\": {\"input_sha256\": \"fdbf9ad2b6c67d256564521c54c32494478359d0ca01f3bb2e50222df96f86af\", \"observed_at\": \"2026-11-06T10:07:32Z\", \"reference_sha256\": \"a8adca3b885dfc5adc5d51784222623c7b94e376324b8a029bffbe8a0acb201e\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=48561\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title of the photo and the link of this species.\", \"schema\": {\"properties\": {\"photo_title\": {\"description\": \"Extract the title of the photo and the link of this species.; target attribute: photo_title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species_link\": {\"description\": \"Extract the title of the photo and the link of this species.; target attribute: species_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"photo_title\", \"species_link\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"photo_title\": {\"Bonellia viridis\": 1}, \"species_link\": {\"photogallery.php?album=2509\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=48561\", \"value_kinds\": {\"species_link\": \"url\"}, \"values\": {\"photo_title\": [\"Bonellia viridis\"], \"species_link\": [\"photogallery.php?album=2509\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-c5552a1eb7dcd6202219", "input": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=synthesis", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-c5552a1eb7dcd6202219\", \"input\": \"dataset/html/liveweb-ie-c5552a1eb7dcd6202219.html\", \"input_sha256\": \"f84a4df079ec4bc6d5e29fcae166a8f91fcca3291091a379dc7afc422addbade\", \"original_reference\": {\"title\": [\"Improved Distribution Matching Distillation for Fast Image Synthesis\", \"Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis\", \"JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models\", \"Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering\", \"HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting\", \"HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection\", \"Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis\", \"Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis\", \"Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis\", \"Constrained Synthesis with Projected Diffusion Models\", \"Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models\", \"ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis\", \"AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis\", \"FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes\", \"Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections\", \"Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis\", \"HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis\", \"Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework\", \"Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance\", \"Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis\", \"Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis\", \"SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow\", \"KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis\", \"MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models\", \"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models\", \"Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge\", \"Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation\", \"Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment\", \"SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions\", \"Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis\", \"MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views\", \"Action Imitation in Common Action Space for Customized Action Image Synthesis\", \"ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models\", \"Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis\", \"UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks\", \"Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search\", \"Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis\", \"Novel Object Synthesis via Adaptive Text-Image Harmony\", \"NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping\", \"Conditional Synthesis of 3D Molecules with Time Correction Sampler\"]}, \"qualification\": {\"input_sha256\": \"f84a4df079ec4bc6d5e29fcae166a8f91fcca3291091a379dc7afc422addbade\", \"observed_at\": \"2026-11-06T10:07:17Z\", \"reference_sha256\": \"49e574d3ffff4060c4082cc7009df3c3a2c07055e9e70e985187da67a508cecb\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=synthesis\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the titles of every paper on this page\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the titles of every paper on this page; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis\": 1, \"Action Imitation in Common Action 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Synthesis in Tabular Data Classification via Large Language Models\": 1, \"Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis\": 1, \"FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes\": 1, \"HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection\": 1, \"HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting\": 1, \"HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis\": 1, \"Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis\": 1, \"Improved Distribution Matching Distillation for Fast Image Synthesis\": 1, \"JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models\": 1, \"KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis\": 1, \"Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis\": 1, \"MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views\": 1, \"MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models\": 1, \"Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models\": 1, \"NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping\": 1, \"Novel Object Synthesis via Adaptive Text-Image Harmony\": 1, \"Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge\": 1, \"SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions\": 1, \"SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow\": 1, \"Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis\": 1, \"Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis\": 1, \"Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis\": 1, \"Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis\": 1, \"Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework\": 1, \"UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks\": 1, \"Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance\": 1, \"Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections\": 1, \"Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=synthesis\", \"value_kinds\": {}, \"values\": {\"title\": [\"Improved Distribution Matching Distillation for Fast Image Synthesis\", \"Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis\", \"JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models\", \"Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering\", \"HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting\", \"HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection\", \"Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis\", \"Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis\", \"Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis\", \"Constrained Synthesis with Projected Diffusion Models\", \"Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models\", \"ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis\", \"AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis\", \"FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes\", \"Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections\", \"Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis\", \"HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis\", \"Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework\", \"Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance\", \"Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis\", \"Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis\", \"SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow\", \"KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis\", \"MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models\", \"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models\", \"Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge\", \"Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation\", \"Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment\", \"SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions\", \"Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis\", \"MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views\", \"Action Imitation in Common Action Space for Customized Action Image Synthesis\", \"ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models\", \"Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis\", \"UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks\", \"Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search\", \"Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis\", \"Novel Object Synthesis via Adaptive Text-Image Harmony\", \"NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping\", \"Conditional Synthesis of 3D Molecules with Time Correction Sampler\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-dd1b1b675372ada0fb82", "input": "http://quotes.toscrape.com/author/Ayn-Rand", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-dd1b1b675372ada0fb82\", \"input\": \"dataset/html/liveweb-ie-dd1b1b675372ada0fb82.html\", \"input_sha256\": \"224a7df3c95e795fd738a61e03a0761d1243d9ab678623b1b0b1b9293e367e19\", \"original_reference\": {\"birth\": [\"February 02, 1905\"]}, \"qualification\": {\"input_sha256\": \"224a7df3c95e795fd738a61e03a0761d1243d9ab678623b1b0b1b9293e367e19\", \"observed_at\": \"2026-11-06T10:08:09Z\", \"reference_sha256\": \"0291d7c25c62366a750d15cc5895a24c2fc9ad7c98e3b8863c375534d5507fc7\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/author/Ayn-Rand\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Collect the author's born details\", \"schema\": {\"properties\": {\"birth\": {\"description\": \"Collect the author's born details; target attribute: birth\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"birth\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"birth\": {\"February 02, 1905\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/author/Ayn-Rand\", \"value_kinds\": {}, \"values\": {\"birth\": [\"February 02, 1905\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-6d5c78d810867eb91dea", "input": "https://sandbox.oxylabs.io/products/942", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-6d5c78d810867eb91dea\", \"input\": \"dataset/html/liveweb-ie-6d5c78d810867eb91dea.html\", \"input_sha256\": \"2d1f29bf481e58669ed608d56421e0f6c7364ac267b15cc164de085d937c63b3\", \"original_reference\": {\"title\": [\"Mutant Mudds\"]}, \"qualification\": {\"input_sha256\": \"2d1f29bf481e58669ed608d56421e0f6c7364ac267b15cc164de085d937c63b3\", \"observed_at\": \"2026-11-06T10:08:05Z\", \"reference_sha256\": \"71a6f08b5565251f9490e8fec001009fd128d89d3df7bd994f6b53e075a25dfb\", \"source_supported_corrections\": [], \"source_url\": \"https://sandbox.oxylabs.io/products/942\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get each title of the video game\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get each title of the video game; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"title\": {\"Mutant Mudds\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/942\", \"value_kinds\": {}, \"values\": {\"title\": [\"Mutant Mudds\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-56ded42b85876f44bb23", "input": "https://www.scrapethissite.com/pages/forms/?page_num=17", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-56ded42b85876f44bb23\", \"input\": \"dataset/html/liveweb-ie-56ded42b85876f44bb23.html\", \"input_sha256\": \"dcf466b132b8ec0bd1179f1c34b64381981be78440933c5d55460a7c3933d0ea\", \"original_reference\": {\"team\": [\"Vancouver Canucks\", \"Washington Capitals\", \"Anaheim Ducks\", \"Atlanta Thrashers\", \"Boston Bruins\", \"Buffalo Sabres\", \"Calgary Flames\", \"Carolina Hurricanes\", \"Columbus Blue Jackets\", \"Chicago Blackhawks\", \"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\"], \"wins\": [\"42\", \"29\", \"48\", \"43\", \"35\", \"53\", \"43\", \"40\", \"33\", \"31\", \"44\", \"50\", \"50\", \"32\", \"35\", \"27\", \"48\", \"42\", \"51\", \"49\", \"40\", \"42\", \"48\", \"22\", \"31\"]}, \"qualification\": {\"input_sha256\": \"dcf466b132b8ec0bd1179f1c34b64381981be78440933c5d55460a7c3933d0ea\", \"observed_at\": \"2026-11-06T10:07:59Z\", \"reference_sha256\": \"f6778beeea548429a3db1fc6a02e4fc7dc0e5390c27d09e256aa6f801cb23011\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=17\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Can you list all hockey team names and their wins\", \"schema\": {\"properties\": {\"team\": {\"description\": \"Can you list all hockey team names and their wins; target attribute: team\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"wins\": {\"description\": \"Can you list all hockey team names and their wins; target attribute: wins\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team\", \"wins\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"team\": {\"Anaheim Ducks\": 1, \"Atlanta Thrashers\": 1, \"Boston Bruins\": 1, \"Buffalo Sabres\": 1, \"Calgary Flames\": 1, \"Carolina Hurricanes\": 1, \"Chicago Blackhawks\": 1, \"Colorado Avalanche\": 1, \"Columbus Blue Jackets\": 1, \"Dallas Stars\": 1, \"Detroit Red Wings\": 1, \"Edmonton Oilers\": 1, \"Florida Panthers\": 1, \"Los Angeles Kings\": 1, \"Minnesota Wild\": 1, \"Montreal Canadiens\": 1, \"Nashville Predators\": 1, \"New Jersey Devils\": 1, \"New York Islanders\": 1, \"New York Rangers\": 1, \"Ottawa Senators\": 1, \"Philadelphia Flyers\": 1, \"Phoenix Coyotes\": 1, \"Vancouver Canucks\": 1, \"Washington Capitals\": 1}, \"wins\": {\"22\": 1, \"27\": 1, \"29\": 1, \"31\": 2, \"32\": 1, \"33\": 1, \"35\": 2, \"40\": 2, \"42\": 3, \"43\": 2, \"44\": 1, \"48\": 3, \"49\": 1, \"50\": 2, \"51\": 1, \"53\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=17\", \"value_kinds\": {}, \"values\": {\"team\": [\"Vancouver Canucks\", \"Washington Capitals\", \"Anaheim Ducks\", \"Atlanta Thrashers\", \"Boston Bruins\", \"Buffalo Sabres\", \"Calgary Flames\", \"Carolina Hurricanes\", \"Columbus Blue Jackets\", \"Chicago Blackhawks\", \"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\"], \"wins\": [\"42\", \"29\", \"48\", \"43\", \"35\", \"53\", \"40\", \"33\", \"31\", \"44\", \"50\", \"32\", \"27\", \"51\", \"49\", \"22\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-65b03f1a69f056a5a816", "input": "https://www.thecocktaildb.com/browse/letter/v", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-65b03f1a69f056a5a816\", \"input\": \"dataset/html/liveweb-ie-65b03f1a69f056a5a816.html\", \"input_sha256\": \"db493e610bb3412c84dffa3e5a08d760cc69f672bef37c53559f8c18097f17d2\", \"original_reference\": {\"cocktail\": [\"Valencia Cocktail\", \"Vampiro\", \"Van Vleet\", \"Vermouth Cassis\", \"Vesper\", \"Vesuvio\", \"Veteran\", \"Victor\", \"Victory Collins\", \"Vodka And Tonic\", \"Vodka Fizz\", \"Vodka Lemon\", \"Vodka Martini\", \"Vodka Russian\", \"Vodka Slime\", \"Vodka Tonic\"]}, \"qualification\": {\"input_sha256\": \"db493e610bb3412c84dffa3e5a08d760cc69f672bef37c53559f8c18097f17d2\", \"observed_at\": \"2026-11-06T10:07:54Z\", \"reference_sha256\": \"4668e29bbdebac0725e49d8d6bc1b0e467cd3be536cd5d6731505527eb042247\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/browse/letter/v\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the list of every drink's name\", \"schema\": {\"properties\": {\"cocktail\": {\"description\": \"Fetch the list of every drink's name; target attribute: cocktail\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"cocktail\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"cocktail\": {\"Valencia Cocktail\": 1, \"Vampiro\": 1, \"Van Vleet\": 1, \"Vermouth Cassis\": 1, \"Vesper\": 1, \"Vesuvio\": 1, \"Veteran\": 1, \"Victor\": 1, \"Victory Collins\": 1, \"Vodka And Tonic\": 1, \"Vodka Fizz\": 1, \"Vodka Lemon\": 1, \"Vodka Martini\": 1, \"Vodka Russian\": 1, \"Vodka Slime\": 1, \"Vodka Tonic\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/browse/letter/v\", \"value_kinds\": {}, \"values\": {\"cocktail\": [\"Valencia Cocktail\", \"Vampiro\", \"Van Vleet\", \"Vermouth Cassis\", \"Vesper\", \"Vesuvio\", \"Veteran\", \"Victor\", \"Victory Collins\", \"Vodka And Tonic\", \"Vodka Fizz\", \"Vodka Lemon\", \"Vodka Martini\", \"Vodka Russian\", \"Vodka Slime\", \"Vodka Tonic\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-cb27e6cd1b5e91265cc0", "input": "https://www.themealdb.com/browse/letter/e", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-cb27e6cd1b5e91265cc0\", \"input\": \"dataset/html/liveweb-ie-cb27e6cd1b5e91265cc0.html\", \"input_sha256\": \"4ea8f1ba44c433f96a6c2df717d069fc07830afa8c89c8d64279910f2c8cf09a\", \"original_reference\": {\"meal_link\": [\"/meal/52791-eton-mess-recipe\", \"/meal/52888-eccles-cakes-recipe\", \"/meal/52895-english-breakfast-recipe\", \"/meal/52944-escovitch-fish-recipe\", \"/meal/52955-egg-drop-soup-recipe\", \"/meal/53031-egyptian-fatteh-recipe\", \"/meal/53073-eggplant-adobo-recipe\"]}, \"qualification\": {\"input_sha256\": \"4ea8f1ba44c433f96a6c2df717d069fc07830afa8c89c8d64279910f2c8cf09a\", \"observed_at\": \"2026-11-06T10:07:50Z\", \"reference_sha256\": \"ef63535d5c7d4d8275f24e931c49b47c7be42463a8a97b69b7f4bcff64ac82d6\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/browse/letter/e\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"List every food with its detail link\", \"schema\": {\"properties\": {\"meal_link\": {\"description\": \"List every food with its detail link; target attribute: meal_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"meal_link\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"meal_link\": {\"/meal/52791-eton-mess-recipe\": 1, \"/meal/52888-eccles-cakes-recipe\": 1, \"/meal/52895-english-breakfast-recipe\": 1, \"/meal/52944-escovitch-fish-recipe\": 1, \"/meal/52955-egg-drop-soup-recipe\": 1, \"/meal/53031-egyptian-fatteh-recipe\": 1, \"/meal/53073-eggplant-adobo-recipe\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/browse/letter/e\", \"value_kinds\": {\"meal_link\": \"url\"}, \"values\": {\"meal_link\": [\"/meal/52791-eton-mess-recipe\", \"/meal/52888-eccles-cakes-recipe\", \"/meal/52895-english-breakfast-recipe\", \"/meal/52944-escovitch-fish-recipe\", \"/meal/52955-egg-drop-soup-recipe\", \"/meal/53031-egyptian-fatteh-recipe\", \"/meal/53073-eggplant-adobo-recipe\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-da521b0c09b84b5fa6ef", "input": "https://www.thesportsdb.com/team/135252-boston-red-sox", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-da521b0c09b84b5fa6ef\", \"input\": \"dataset/html/liveweb-ie-da521b0c09b84b5fa6ef.html\", \"input_sha256\": \"0113bef91c51bac85ddbf1bd86cb9f7104f575ee392686b2cc4c9e9a30061c65\", \"original_reference\": {\"team_link\": [\"/team/135252-boston-red-sox\"]}, \"qualification\": {\"input_sha256\": \"0113bef91c51bac85ddbf1bd86cb9f7104f575ee392686b2cc4c9e9a30061c65\", \"observed_at\": \"2026-11-06T10:07:47Z\", \"reference_sha256\": \"215e677bb23365e30fb6cd4a4b95266f96f11cbc6718a418d751089eaba109dc\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/team/135252-boston-red-sox\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Point me to the team's name link\", \"schema\": {\"properties\": {\"team_link\": {\"description\": \"Point me to the team's name link; target attribute: team_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"team_link\": {\"/team/135252-boston-red-sox\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/team/135252-boston-red-sox\", \"value_kinds\": {\"team_link\": \"url\"}, \"values\": {\"team_link\": [\"/team/135252-boston-red-sox\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-369f339db7ae2b1a52e6", "input": "https://arxiv.org/abs/2401.09620", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-369f339db7ae2b1a52e6\", \"input\": \"dataset/html/liveweb-ie-369f339db7ae2b1a52e6.html\", \"input_sha256\": \"92a435bdd17d54a14ef9280ea211a89be92af74a22c1ff7eac213eb9545673fa\", \"original_reference\": {\"author\": [\"Anjali\", \"Rachee Singh\", \"Michael M. Swift\"], \"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Anjali\", \"https://arxiv.org/search/cs?searchtype=author&query=Singh,+R\", \"https://arxiv.org/search/cs?searchtype=author&query=Swift,+M+M\"]}, \"qualification\": {\"input_sha256\": \"92a435bdd17d54a14ef9280ea211a89be92af74a22c1ff7eac213eb9545673fa\", \"observed_at\": \"2026-11-06T10:07:06Z\", \"reference_sha256\": \"83ba99fc6895985b664e6029bc171ece064c8f39bed475161158e9ce1e119a14\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.09620\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please provide each author's name and the link to their detailed profile\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Please provide each author's name and the link to their detailed profile; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"author_profile_link\": {\"description\": \"Please provide each author's name and the link to their detailed profile; target attribute: author_profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\", \"author_profile_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"author\": {\"Anjali\": 1, \"Michael M. Swift\": 1, \"Rachee Singh\": 1}, \"author_profile_link\": {\"https://arxiv.org/search/cs?searchtype=author&query=Anjali\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Singh,+R\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Swift,+M+M\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.09620\", \"value_kinds\": {\"author_profile_link\": \"url\"}, \"values\": {\"author\": [\"Anjali\", \"Rachee Singh\", \"Michael M. Swift\"], \"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Anjali\", \"https://arxiv.org/search/cs?searchtype=author&query=Singh,+R\", \"https://arxiv.org/search/cs?searchtype=author&query=Swift,+M+M\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-87e2fbffa4c58c203000", "input": "https://books.toscrape.com/catalogue/page-44.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-87e2fbffa4c58c203000\", \"input\": \"dataset/html/liveweb-ie-87e2fbffa4c58c203000.html\", \"input_sha256\": \"5a5bbdf5b42f41a40855d175dcdf678bd9240e618ff29f4ef2291f3dd952b51b\", \"original_reference\": {\"book_image\": [\"../media/cache/4d/a6/4da6939a6bbd895a5acdeabad46d1f9f.jpg\", \"../media/cache/4e/d2/4ed2ec75df84ba1093fc4141b29abab3.jpg\", \"../media/cache/7d/0b/7d0bb832760e81c281d8d283ba6a2b09.jpg\", \"../media/cache/9e/ff/9eff8b66d583e8f0ba58a0bc86de40f2.jpg\", \"../media/cache/ce/24/ce242d3eb00bf1938d6c18e0261ef868.jpg\", \"../media/cache/94/c7/94c7add56827e01998189a021ec060e2.jpg\", \"../media/cache/0b/ac/0baceb72d202880d1441a32193df6e11.jpg\", \"../media/cache/ea/ee/eaee98b302dcaf91d1122816ae553295.jpg\", \"../media/cache/5d/41/5d415bc31b1f856a2a9dc8706fd19abd.jpg\", \"../media/cache/48/5d/485d2c4cedd639fcb005340a8d589bb3.jpg\", \"../media/cache/99/48/9948564dec3ac2f9e32419911b181e37.jpg\", \"../media/cache/ef/b7/efb72b546fc7cab4ba1735b4b82c5851.jpg\", \"../media/cache/f9/19/f919f64fc0e3642cdc604134bfd93774.jpg\", \"../media/cache/06/8c/068ccab8875670fccb8b72234370d16f.jpg\", \"../media/cache/dd/6e/dd6e7b84e99f3b4b5655ea0db74af2b4.jpg\", \"../media/cache/82/06/8206f351bd1ff6f52eed515a3b366916.jpg\", \"../media/cache/41/72/417255e608c389aedfb68491dae92c9c.jpg\", \"../media/cache/d7/f0/d7f00033bda3779b2fd017e32e7c800c.jpg\", \"../media/cache/f8/be/f8be3238a1cf039a3e7d50de1d4c2cfd.jpg\", \"../media/cache/71/d1/71d199b2abd878b9943dc818b77a1e72.jpg\"], \"price\": [\"£59.95\", \"£26.09\", \"£37.35\", \"£24.72\", \"£35.28\", \"£51.32\", \"£21.12\", \"£27.35\", \"£21.74\", \"£40.87\", \"£49.31\", \"£22.11\", \"£20.79\", \"£27.41\", \"£38.35\", \"£21.55\", \"£38.02\", \"£22.06\", \"£10.66\", \"£56.58\"]}, \"qualification\": {\"input_sha256\": \"5a5bbdf5b42f41a40855d175dcdf678bd9240e618ff29f4ef2291f3dd952b51b\", \"observed_at\": \"2026-11-06T10:08:14Z\", \"reference_sha256\": \"8987077ac9b8cd870b7e53a066f17c9017c1d13ce2d76fd05cbbeedfac259018\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/page-44.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve all book prices and product images\", \"schema\": {\"properties\": {\"book_image\": {\"description\": \"Retrieve all book prices and product images; target attribute: book_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"price\": {\"description\": \"Retrieve all book prices and product images; target attribute: price\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"price\", \"book_image\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"book_image\": {\"../media/cache/06/8c/068ccab8875670fccb8b72234370d16f.jpg\": 1, \"../media/cache/0b/ac/0baceb72d202880d1441a32193df6e11.jpg\": 1, \"../media/cache/41/72/417255e608c389aedfb68491dae92c9c.jpg\": 1, \"../media/cache/48/5d/485d2c4cedd639fcb005340a8d589bb3.jpg\": 1, \"../media/cache/4d/a6/4da6939a6bbd895a5acdeabad46d1f9f.jpg\": 1, \"../media/cache/4e/d2/4ed2ec75df84ba1093fc4141b29abab3.jpg\": 1, \"../media/cache/5d/41/5d415bc31b1f856a2a9dc8706fd19abd.jpg\": 1, \"../media/cache/71/d1/71d199b2abd878b9943dc818b77a1e72.jpg\": 1, \"../media/cache/7d/0b/7d0bb832760e81c281d8d283ba6a2b09.jpg\": 1, \"../media/cache/82/06/8206f351bd1ff6f52eed515a3b366916.jpg\": 1, \"../media/cache/94/c7/94c7add56827e01998189a021ec060e2.jpg\": 1, \"../media/cache/99/48/9948564dec3ac2f9e32419911b181e37.jpg\": 1, \"../media/cache/9e/ff/9eff8b66d583e8f0ba58a0bc86de40f2.jpg\": 1, \"../media/cache/ce/24/ce242d3eb00bf1938d6c18e0261ef868.jpg\": 1, \"../media/cache/d7/f0/d7f00033bda3779b2fd017e32e7c800c.jpg\": 1, \"../media/cache/dd/6e/dd6e7b84e99f3b4b5655ea0db74af2b4.jpg\": 1, \"../media/cache/ea/ee/eaee98b302dcaf91d1122816ae553295.jpg\": 1, \"../media/cache/ef/b7/efb72b546fc7cab4ba1735b4b82c5851.jpg\": 1, \"../media/cache/f8/be/f8be3238a1cf039a3e7d50de1d4c2cfd.jpg\": 1, \"../media/cache/f9/19/f919f64fc0e3642cdc604134bfd93774.jpg\": 1}, \"price\": {\"£10.66\": 1, \"£20.79\": 1, \"£21.12\": 1, \"£21.55\": 1, \"£21.74\": 1, \"£22.06\": 1, \"£22.11\": 1, \"£24.72\": 1, \"£26.09\": 1, \"£27.35\": 1, \"£27.41\": 1, \"£35.28\": 1, \"£37.35\": 1, \"£38.02\": 1, \"£38.35\": 1, \"£40.87\": 1, \"£49.31\": 1, \"£51.32\": 1, \"£56.58\": 1, \"£59.95\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/page-44.html\", \"value_kinds\": {\"book_image\": \"url\"}, \"values\": {\"book_image\": [\"../media/cache/4d/a6/4da6939a6bbd895a5acdeabad46d1f9f.jpg\", \"../media/cache/4e/d2/4ed2ec75df84ba1093fc4141b29abab3.jpg\", \"../media/cache/7d/0b/7d0bb832760e81c281d8d283ba6a2b09.jpg\", \"../media/cache/9e/ff/9eff8b66d583e8f0ba58a0bc86de40f2.jpg\", \"../media/cache/ce/24/ce242d3eb00bf1938d6c18e0261ef868.jpg\", \"../media/cache/94/c7/94c7add56827e01998189a021ec060e2.jpg\", \"../media/cache/0b/ac/0baceb72d202880d1441a32193df6e11.jpg\", \"../media/cache/ea/ee/eaee98b302dcaf91d1122816ae553295.jpg\", \"../media/cache/5d/41/5d415bc31b1f856a2a9dc8706fd19abd.jpg\", \"../media/cache/48/5d/485d2c4cedd639fcb005340a8d589bb3.jpg\", \"../media/cache/99/48/9948564dec3ac2f9e32419911b181e37.jpg\", \"../media/cache/ef/b7/efb72b546fc7cab4ba1735b4b82c5851.jpg\", \"../media/cache/f9/19/f919f64fc0e3642cdc604134bfd93774.jpg\", \"../media/cache/06/8c/068ccab8875670fccb8b72234370d16f.jpg\", \"../media/cache/dd/6e/dd6e7b84e99f3b4b5655ea0db74af2b4.jpg\", \"../media/cache/82/06/8206f351bd1ff6f52eed515a3b366916.jpg\", \"../media/cache/41/72/417255e608c389aedfb68491dae92c9c.jpg\", \"../media/cache/d7/f0/d7f00033bda3779b2fd017e32e7c800c.jpg\", \"../media/cache/f8/be/f8be3238a1cf039a3e7d50de1d4c2cfd.jpg\", \"../media/cache/71/d1/71d199b2abd878b9943dc818b77a1e72.jpg\"], \"price\": [\"£59.95\", \"£26.09\", \"£37.35\", \"£24.72\", \"£35.28\", \"£51.32\", \"£21.12\", \"£27.35\", \"£21.74\", \"£40.87\", \"£49.31\", \"£22.11\", \"£20.79\", \"£27.41\", \"£38.35\", \"£21.55\", \"£38.02\", \"£22.06\", \"£10.66\", \"£56.58\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2f81562c22d0c9e2a0c6", "input": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=718&srchtyp=ymm&pageno=1&rowLimit=50", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-2f81562c22d0c9e2a0c6\", \"input\": \"dataset/html/liveweb-ie-2f81562c22d0c9e2a0c6.html\", \"input_sha256\": \"5adc4d73360736348de81022576279fc2033fb701eda5bdfcd94ad3e97e328bd\", \"original_reference\": {\"driver_mpg\": [\"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\", \"NA\"], \"vehicle_link\": [\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45910\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45911\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45917\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45919\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45916\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45918\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45966\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=46087\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45913\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45915\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45968\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45912\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45972\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45914\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45974\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45970\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45967\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45971\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45973\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45969\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45858\"]}, \"qualification\": {\"input_sha256\": \"5adc4d73360736348de81022576279fc2033fb701eda5bdfcd94ad3e97e328bd\", \"observed_at\": \"2026-11-06T10:07:43Z\", \"reference_sha256\": \"814c8763d1d5a629753682a675dd27431aa34581b63974368c7a7547d6c9f2f7\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=718&srchtyp=ymm&pageno=1&rowLimit=50\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the detail links of all cars and all driver mpg from the same page.\", \"schema\": {\"properties\": {\"driver_mpg\": {\"description\": \"Extract the detail links of all cars and all driver mpg from the same page.; target attribute: driver_mpg\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_link\": {\"description\": \"Extract the detail links of all cars and all driver mpg from the same page.; target attribute: vehicle_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_link\", \"driver_mpg\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"driver_mpg\": {\"NA\": 21}, \"vehicle_link\": {\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45858\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45910\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45911\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45912\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45913\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45914\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45915\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45916\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45917\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45918\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45919\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45966\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45967\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45968\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45969\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45970\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45971\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45972\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45973\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45974\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=46087\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=718&srchtyp=ymm&pageno=1&rowLimit=50\", \"value_kinds\": {\"vehicle_link\": \"url\"}, \"values\": {\"driver_mpg\": [\"NA\"], \"vehicle_link\": [\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45910\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45911\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45917\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45919\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45916\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45918\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45966\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=46087\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45913\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45915\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45968\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45912\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45972\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45914\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45974\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45970\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45967\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45971\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45973\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45969\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45858\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-b6149bbcac4a22dca7f6", "input": "https://huggingface.co/papers/2408.10914", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-b6149bbcac4a22dca7f6\", \"input\": \"dataset/html/liveweb-ie-b6149bbcac4a22dca7f6.html\", \"input_sha256\": \"c3e83d7bf066a29619e00ae5ea8f361999c60110f024a9ad6cf1fe7b6872d573\", \"original_reference\": {\"title\": [\"To Code, or Not To Code? Exploring Impact of Code in Pre-training\"]}, \"qualification\": {\"input_sha256\": \"c3e83d7bf066a29619e00ae5ea8f361999c60110f024a9ad6cf1fe7b6872d573\", \"observed_at\": \"2026-11-06T10:07:38Z\", \"reference_sha256\": \"9e029b2346e57bb80aa6d74ec110cd183799a0c449b89b4027430f5c94a00611\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/2408.10914\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the title of the paper\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title of the paper; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"title\": {\"To Code, or Not To Code? Exploring Impact of Code in Pre-training\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/2408.10914\", \"value_kinds\": {}, \"values\": {\"title\": [\"To Code, or Not To Code? Exploring Impact of Code in Pre-training\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-06f58797c777bde0174b", "input": "https://iclr.cc/virtual/2025/poster/27768", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-06f58797c777bde0174b\", \"input\": \"dataset/html/liveweb-ie-06f58797c777bde0174b.html\", \"input_sha256\": \"3575b01e896b7538abe10064fd0021c56d2538a0572d4acefa57d46fd1385b19\", \"original_reference\": {\"title\": [\"Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design\"]}, \"qualification\": {\"input_sha256\": \"3575b01e896b7538abe10064fd0021c56d2538a0572d4acefa57d46fd1385b19\", \"observed_at\": \"2026-11-06T10:07:10Z\", \"reference_sha256\": \"da519af4f6d60051d244ed1b676780dc41016ac32c0fb117137825b87fde947c\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/poster/27768\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the research paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the research paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/poster/27768\", \"value_kinds\": {}, \"values\": {\"title\": [\"Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-3e567dfa4617e5710036", "input": "https://icml.cc/virtual/2025/poster/44734", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-3e567dfa4617e5710036\", \"input\": \"dataset/html/liveweb-ie-3e567dfa4617e5710036.html\", \"input_sha256\": \"30af83627e2f9fe66de32be039bef3f215a85ff6e6ea57813be2dca2929a5f46\", \"original_reference\": {\"title\": [\"Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies\"]}, \"qualification\": {\"input_sha256\": \"30af83627e2f9fe66de32be039bef3f215a85ff6e6ea57813be2dca2929a5f46\", \"observed_at\": \"2026-11-06T10:07:23Z\", \"reference_sha256\": \"e3d68c5b031965a2e8327cbcb954dc6afedf9721c6fb5e9de09c5e7404817304\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/poster/44734\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the title of this paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Fetch the title of this paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/poster/44734\", \"value_kinds\": {}, \"values\": {\"title\": [\"Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-6a7e42879e1d994cdfc6", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=113273", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-6a7e42879e1d994cdfc6\", \"input\": \"dataset/html/liveweb-ie-6a7e42879e1d994cdfc6.html\", \"input_sha256\": \"9b78696c566c844aae15543f4e2a4ade396c4fbf36a6144dbf9f93276642c251\", \"original_reference\": {\"author\": [\"Fabrice, Aäron\"], \"author_profile_link\": [\"imis.php?module=person&persid=29432\"], \"photo_title\": [\"Echiurus echiurus (Pallas, 1766)\"], \"species\": [\"Echiura (spoon worms)\"], \"species_link\": [\"photogallery.php?album=2509\"]}, \"qualification\": {\"input_sha256\": \"9b78696c566c844aae15543f4e2a4ade396c4fbf36a6144dbf9f93276642c251\", \"observed_at\": \"2026-11-06T10:07:32Z\", \"reference_sha256\": \"d2734b31498b9620ccbb5713019bf2d1e664597cce8aad61a5d560dc3a545e08\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=113273\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the author link, author name, photo title, species link, and species name from the website.\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"author_profile_link\": {\"description\": \"Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: author_profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"photo_title\": {\"description\": \"Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: photo_title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species\": {\"description\": \"Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: species\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species_link\": {\"description\": \"Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: species_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author_profile_link\", \"author\", \"photo_title\", \"species_link\", \"species\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"author\": {\"Fabrice, Aäron\": 1}, \"author_profile_link\": {\"imis.php?module=person&persid=29432\": 1}, \"photo_title\": {\"Echiurus echiurus (Pallas, 1766)\": 1}, \"species\": {\"Echiura (spoon worms)\": 1}, \"species_link\": {\"photogallery.php?album=2509\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=113273\", \"value_kinds\": {\"author_profile_link\": \"url\", \"species_link\": \"url\"}, \"values\": {\"author\": [\"Fabrice, Aäron\"], \"author_profile_link\": [\"imis.php?module=person&persid=29432\"], \"photo_title\": [\"Echiurus echiurus (Pallas, 1766)\"], \"species\": [\"Echiura (spoon worms)\"], \"species_link\": [\"photogallery.php?album=2509\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-f87f66a4608d9e3f1214", "input": "https://neurips.cc/virtual/2024/poster/96722", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-f87f66a4608d9e3f1214\", \"input\": \"dataset/html/liveweb-ie-f87f66a4608d9e3f1214.html\", \"input_sha256\": \"7f0dea4f62b24331d246417ed311ff59cb72ac99c4286e015dd627be32faa571\", \"original_reference\": {\"title\": [\"Boosting Text-to-Video Generative Model with MLLMs Feedback\"]}, \"qualification\": {\"input_sha256\": \"7f0dea4f62b24331d246417ed311ff59cb72ac99c4286e015dd627be32faa571\", \"observed_at\": \"2026-11-06T10:07:16Z\", \"reference_sha256\": \"d624b0d829c95dc56ff8af0b5ee42a865276f36481dee3bf31d54e342d500044\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/poster/96722\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the paper's title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the paper's title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"Boosting Text-to-Video Generative Model with MLLMs Feedback\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/poster/96722\", \"value_kinds\": {}, \"values\": {\"title\": [\"Boosting Text-to-Video Generative Model with MLLMs Feedback\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-999fec03d2916cc49554", "input": "http://quotes.toscrape.com/tag/life/", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-999fec03d2916cc49554\", \"input\": \"dataset/html/liveweb-ie-999fec03d2916cc49554.html\", \"input_sha256\": \"1ab7fa64e23f65e4fee25fbfebd9ea17c5240939e6579128435c0f28d32428a5\", \"original_reference\": {\"tag_link\": [\"/tag/life/page/1/\"]}, \"qualification\": {\"input_sha256\": \"1ab7fa64e23f65e4fee25fbfebd9ea17c5240939e6579128435c0f28d32428a5\", \"observed_at\": \"2026-11-06T10:08:10Z\", \"reference_sha256\": \"33b9e1e87c2ded436e867c66e9b2027b6fdcb492779ab522186c2fbd21e147d1\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/tag/life/\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch link of the current viewing tag of the quote\", \"schema\": {\"properties\": {\"tag_link\": {\"description\": \"Fetch link of the current viewing tag of the quote; target attribute: tag_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"tag_link\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"tag_link\": {\"/tag/life/page/1/\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/tag/life/\", \"value_kinds\": {\"tag_link\": \"url\"}, \"values\": {\"tag_link\": [\"/tag/life/page/1/\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-60702c87d66354bda095", "input": "https://sandbox.oxylabs.io/products/category/xbox-platform", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-60702c87d66354bda095\", \"input\": \"dataset/html/liveweb-ie-60702c87d66354bda095.html\", \"input_sha256\": \"f67ae7c28e02aab17f09f6d646701a0285b50deb7a1f853cbd82f689cab6a5fb\", \"original_reference\": {\"game_count\": [\"367\"]}, \"qualification\": {\"input_sha256\": \"f67ae7c28e02aab17f09f6d646701a0285b50deb7a1f853cbd82f689cab6a5fb\", \"observed_at\": \"2026-11-06T10:08:05Z\", \"reference_sha256\": \"623c8198f771360c6e64032a7b158c76ed39b05cc5d7d08095a7ddd9bd4395fb\", \"source_supported_corrections\": [], \"source_url\": \"https://sandbox.oxylabs.io/products/category/xbox-platform\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Identify how many games belong to the current platform\", \"schema\": {\"properties\": {\"game_count\": {\"description\": \"Identify how many games belong to the current platform; target attribute: game_count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"game_count\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"game_count\": {\"367\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/category/xbox-platform\", \"value_kinds\": {}, \"values\": {\"game_count\": [\"367\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-559d6175f5448af4d65f", "input": "https://www.scrapethissite.com/pages/forms/?page_num=21", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-559d6175f5448af4d65f\", \"input\": \"dataset/html/liveweb-ie-559d6175f5448af4d65f.html\", \"input_sha256\": \"3e00dd35e14bf1b33d0136fce7491c96b9b5d036ec0017d8c3cbec8b5621e7ff\", \"original_reference\": {\"team\": [\"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\", \"Pittsburgh Penguins\", \"San Jose Sharks\", \"St. Louis Blues\", \"Tampa Bay Lightning\", \"Toronto Maple Leafs\", \"Vancouver Canucks\", \"Washington Capitals\", \"Anaheim Ducks\", \"Atlanta Thrashers\", \"Boston Bruins\"]}, \"qualification\": {\"input_sha256\": \"3e00dd35e14bf1b33d0136fce7491c96b9b5d036ec0017d8c3cbec8b5621e7ff\", \"observed_at\": \"2026-11-06T10:08:00Z\", \"reference_sha256\": \"e32f66c2e67dfc04e6b46cfca6623a10d67af0e3be3ae93458c86a2b1cd5fe94\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=21\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all hockey team names\", \"schema\": {\"properties\": {\"team\": {\"description\": \"Extract all hockey team names; target attribute: team\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"team\": {\"Anaheim Ducks\": 1, \"Atlanta Thrashers\": 1, \"Boston Bruins\": 1, \"Colorado Avalanche\": 1, \"Dallas Stars\": 1, \"Detroit Red Wings\": 1, \"Edmonton Oilers\": 1, \"Florida Panthers\": 1, \"Los Angeles Kings\": 1, \"Minnesota Wild\": 1, \"Montreal Canadiens\": 1, \"Nashville Predators\": 1, \"New Jersey Devils\": 1, \"New York Islanders\": 1, \"New York Rangers\": 1, \"Ottawa Senators\": 1, \"Philadelphia Flyers\": 1, \"Phoenix Coyotes\": 1, \"Pittsburgh Penguins\": 1, \"San Jose Sharks\": 1, \"St. Louis Blues\": 1, \"Tampa Bay Lightning\": 1, \"Toronto Maple Leafs\": 1, \"Vancouver Canucks\": 1, \"Washington Capitals\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=21\", \"value_kinds\": {}, \"values\": {\"team\": [\"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\", \"Pittsburgh Penguins\", \"San Jose Sharks\", \"St. Louis Blues\", \"Tampa Bay Lightning\", \"Toronto Maple Leafs\", \"Vancouver Canucks\", \"Washington Capitals\", \"Anaheim Ducks\", \"Atlanta Thrashers\", \"Boston Bruins\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-61a01d5f40993389afc6", "input": "https://www.thecocktaildb.com/drink/11418-gin-squirt", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-61a01d5f40993389afc6\", \"input\": \"dataset/html/liveweb-ie-61a01d5f40993389afc6.html\", \"input_sha256\": \"589d3ccbeda0719e078688f484fb397e411aa27c2d391236215353363b20e3c9\", \"original_reference\": {\"ingredient_link\": [\"/ingredient/2-gin\", \"/ingredient/250-grenadine\", \"/ingredient/409-powdered-sugar\", \"/ingredient/397-pineapple\", \"/ingredient/470-strawberries\", \"/ingredient/89-carbonated-water\"]}, \"qualification\": {\"input_sha256\": \"589d3ccbeda0719e078688f484fb397e411aa27c2d391236215353363b20e3c9\", \"observed_at\": \"2026-11-06T10:07:55Z\", \"reference_sha256\": \"a69c1afe2b00f5bf7928ec197786996c4d6af0afd90b57f44b193f4a340d6870\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/drink/11418-gin-squirt\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"What are the detail links for every ingredient in the drink?\", \"schema\": {\"properties\": {\"ingredient_link\": {\"description\": \"What are the detail links for every ingredient in the drink?; target attribute: ingredient_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient_link\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"ingredient_link\": {\"/ingredient/2-gin\": 1, \"/ingredient/250-grenadine\": 1, \"/ingredient/397-pineapple\": 1, \"/ingredient/409-powdered-sugar\": 1, \"/ingredient/470-strawberries\": 1, \"/ingredient/89-carbonated-water\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/drink/11418-gin-squirt\", \"value_kinds\": {\"ingredient_link\": \"url\"}, \"values\": {\"ingredient_link\": [\"/ingredient/2-gin\", \"/ingredient/250-grenadine\", \"/ingredient/409-powdered-sugar\", \"/ingredient/397-pineapple\", \"/ingredient/470-strawberries\", \"/ingredient/89-carbonated-water\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-e772c88ec7367d6c8686", "input": "https://www.themealdb.com/meal/52835-fettucine-alfredo-recipe", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-e772c88ec7367d6c8686\", \"input\": \"dataset/html/liveweb-ie-e772c88ec7367d6c8686.html\", \"input_sha256\": \"ee23ce39352405bb2b26cfded00f097d10a24586baceac421f550575a26d13e6\", \"original_reference\": {\"flag_image\": [\"/images/icons/flags/big/64/it.png\"]}, \"qualification\": {\"input_sha256\": \"ee23ce39352405bb2b26cfded00f097d10a24586baceac421f550575a26d13e6\", \"observed_at\": \"2026-11-06T10:07:51Z\", \"reference_sha256\": \"f78b42cb2627a0b7a87bda048e319bb8069ed14627bed8bcc8da42348b5f244b\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/meal/52835-fettucine-alfredo-recipe\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Find the country image related to the food\", \"schema\": {\"properties\": {\"flag_image\": {\"description\": \"Find the country image related to the food; target attribute: flag_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"flag_image\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"flag_image\": {\"/images/icons/flags/big/64/it.png\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/meal/52835-fettucine-alfredo-recipe\", \"value_kinds\": {\"flag_image\": \"url\"}, \"values\": {\"flag_image\": [\"/images/icons/flags/big/64/it.png\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-1415d6a119ca5b5d92fb", "input": "https://www.thesportsdb.com/season/4370-formula-1/1983", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-1415d6a119ca5b5d92fb\", \"input\": \"dataset/html/liveweb-ie-1415d6a119ca5b5d92fb.html\", \"input_sha256\": \"8c0691263434b38e6a8de627fffe2591ae8f276fb2887fc1d715a30f85d22314\", \"original_reference\": {\"season_badge\": [\"https://r2.thesportsdb.com/images/media/league/badgearchive/65e5191749222454.png\"], \"season_poster\": [\"https://r2.thesportsdb.com/images/media/league/posterarchive/rjitui1750782050.jpg\"]}, \"qualification\": {\"input_sha256\": \"8c0691263434b38e6a8de627fffe2591ae8f276fb2887fc1d715a30f85d22314\", \"observed_at\": \"2026-11-06T10:07:48Z\", \"reference_sha256\": \"95e1422194f12bb39995ebf3ed3137a6f3bf618139ac4dc2f1935f02fff9ff7f\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/season/4370-formula-1/1983\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the badge and the poster of the seasonm\", \"schema\": {\"properties\": {\"season_badge\": {\"description\": \"Extract the badge and the poster of the seasonm; target attribute: season_badge\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"season_poster\": {\"description\": \"Extract the badge and the poster of the seasonm; target attribute: season_poster\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"season_badge\", \"season_poster\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"season_badge\": {\"https://r2.thesportsdb.com/images/media/league/badgearchive/65e5191749222454.png\": 1}, \"season_poster\": {\"https://r2.thesportsdb.com/images/media/league/posterarchive/rjitui1750782050.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/season/4370-formula-1/1983\", \"value_kinds\": {\"season_badge\": \"url\", \"season_poster\": \"url\"}, \"values\": {\"season_badge\": [\"https://r2.thesportsdb.com/images/media/league/badgearchive/65e5191749222454.png\"], \"season_poster\": [\"https://r2.thesportsdb.com/images/media/league/posterarchive/rjitui1750782050.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d47b4640307df0bfc5f6", "input": "https://arxiv.org/list/cs.DL/2024-01", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-d47b4640307df0bfc5f6\", \"input\": \"dataset/html/liveweb-ie-d47b4640307df0bfc5f6.html\", \"input_sha256\": \"352724889b4669517bb08e4535ea764d8ca1ce743354ca81b86a36d534391c42\", \"original_reference\": {\"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Purchase,+H+C\", \"https://arxiv.org/search/cs?searchtype=author&query=Hamer,+J\", \"https://arxiv.org/search/cs?searchtype=author&query=Antonoyiannakis,+M\", \"https://arxiv.org/search/cs?searchtype=author&query=Bianchi,+M+L\", \"https://arxiv.org/search/cs?searchtype=author&query=Zheng,+R\", \"https://arxiv.org/search/cs?searchtype=author&query=Weigle,+M+C\", \"https://arxiv.org/search/cs?searchtype=author&query=Swart,+W\", 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{"family": "structured-field-extraction", "id": "liveweb-ie-ac70b54f44c56987f324", "input": "https://books.toscrape.com/catalogue/dark-notes_800/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-ac70b54f44c56987f324\", \"input\": \"dataset/html/liveweb-ie-ac70b54f44c56987f324.html\", \"input_sha256\": \"5f18567aa4e6009b82499f44df56088945b81a69a04c35b9e20759c178c71877\", \"original_reference\": {\"stock_status\": [\"In stock (15 available)\"], \"title\": [\"Dark Notes\"]}, \"qualification\": {\"input_sha256\": \"5f18567aa4e6009b82499f44df56088945b81a69a04c35b9e20759c178c71877\", \"observed_at\": \"2026-11-06T10:08:16Z\", \"reference_sha256\": \"b5199b8f9b89a86d63c101ee6d179a2dff0f1692f74fec7ce7904abea425dff2\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/dark-notes_800/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the book title and stock status.\", \"schema\": {\"properties\": {\"stock_status\": {\"description\": \"Extract the book title and stock status.; target attribute: stock_status\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Extract the book title and stock status.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"stock_status\", \"title\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"stock_status\": {\"In stock (15 available)\": 1}, \"title\": {\"Dark Notes\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/dark-notes_800/index.html\", \"value_kinds\": {}, \"values\": {\"stock_status\": [\"In stock (15 available)\"], \"title\": [\"Dark Notes\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-68044724b2d648a208ae", "input": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47296", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-68044724b2d648a208ae\", \"input\": \"dataset/html/liveweb-ie-68044724b2d648a208ae.html\", \"input_sha256\": \"c18112913e7692cca8725aaba392ed6e193cc10bc921ea1669c48f94b396da40\", \"original_reference\": {\"vehicle\": [\"2024 Porsche 911 Carrera 4S\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera.jpg\"]}, \"qualification\": {\"input_sha256\": \"c18112913e7692cca8725aaba392ed6e193cc10bc921ea1669c48f94b396da40\", \"observed_at\": \"2026-11-06T10:07:43Z\", \"reference_sha256\": \"d2329c6a89a00da415e8ea4a08dcf126fbe8dbbc10b9910fbb4d86d67f621208\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47296\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the car name and its image from the page.\", \"schema\": {\"properties\": {\"vehicle\": {\"description\": \"Extract the car name and its image from the page.; target attribute: vehicle\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_image\": {\"description\": \"Extract the car name and its image from the page.; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_image\", \"vehicle\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"vehicle\": {\"2024 Porsche 911 Carrera 4S\": 1}, \"vehicle_image\": {\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47296\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"vehicle\": [\"2024 Porsche 911 Carrera 4S\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ce4b4af126a364cbab3d", "input": "https://huggingface.co/papers/date/2024-08-27", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-ce4b4af126a364cbab3d\", \"input\": \"dataset/html/liveweb-ie-ce4b4af126a364cbab3d.html\", \"input_sha256\": \"d4208623eba2e8903c17bf92279dd79fa97e7fb812572bf08e8e3927ab358178\", \"original_reference\": {\"publish_date\": [\"Aug 27\"]}, \"qualification\": {\"input_sha256\": \"d4208623eba2e8903c17bf92279dd79fa97e7fb812572bf08e8e3927ab358178\", \"observed_at\": \"2026-11-06T10:07:38Z\", \"reference_sha256\": \"496f5b7903b37747667858ab93379c755de9dbf7301469acd711d40a67f5ffb3\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/date/2024-08-27\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the date when these papers were added\", \"schema\": {\"properties\": {\"publish_date\": {\"description\": \"Extract the date when these papers were added; target attribute: publish_date\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"publish_date\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"publish_date\": {\"Aug 27\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/date/2024-08-27\", \"value_kinds\": {}, \"values\": {\"publish_date\": [\"Aug 27\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-db96a7e4f3dd63882550", "input": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=synthesis", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-db96a7e4f3dd63882550\", \"input\": \"dataset/html/liveweb-ie-db96a7e4f3dd63882550.html\", \"input_sha256\": \"1f583c6558bdbf16867e902d806de7010a21b0538abf283cd6aca3c4d3755a01\", \"original_reference\": {\"title\": [\"Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets\", \"SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning\", \"Learning General-purpose Biomedical Volume Representations using Randomized Synthesis\", \"Diffusion On Syntax Trees For Program Synthesis\", \"3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation\", \"Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control\", \"FreeVS: Generative View Synthesis on Free Driving Trajectory\", \"T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning\", \"Anyprefer: An Agentic Framework for Preference Data Synthesis\", \"MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer\", \"INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning\", \"h4rm3l: A Language for Composable Jailbreak Attack Synthesis\", \"IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis\", \"Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model\", \"Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis\", \"LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias\", \"You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs\", \"HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis\", \"Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing\", \"HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes\", \"Forewarned is Forearmed:  Harnessing LLMs for Data Synthesis via Failure-induced Exploration\", \"RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning\", \"MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis\", \"SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers\", \"Training Language Models on Synthetic Edit Sequences Improves Code Synthesis\", \"X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios\", \"Procedural Synthesis of Synthesizable Molecules\", \"STAR: Synthesis of Tailored Architectures\", \"Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis\", \"VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis\", \"SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints\", \"Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection\", \"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials\", \"Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning\", \"LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models\", \"Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective\", \"Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages\"]}, \"qualification\": {\"input_sha256\": \"1f583c6558bdbf16867e902d806de7010a21b0538abf283cd6aca3c4d3755a01\", \"observed_at\": \"2026-11-06T10:07:11Z\", \"reference_sha256\": \"5598598de699471e17b36c34566a57af9d58181afbf168ef40837b617e4c844e\", \"source_supported_corrections\": [{\"accepted\": \"Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration\", \"field\": \"title\", \"original\": \"Forewarned is Forearmed:  Harnessing LLMs for Data Synthesis via Failure-induced Exploration\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"1f583c6558bdbf16867e902d806de7010a21b0538abf283cd6aca3c4d3755a01\"}], \"source_url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=synthesis\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract all paper titles.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract all paper titles.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation\": 1, \"Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages\": 1, \"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials\": 1, \"Anyprefer: An Agentic Framework for Preference Data Synthesis\": 1, \"Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis\": 1, \"Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control\": 1, \"Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning\": 1, \"Diffusion On Syntax Trees For Program Synthesis\": 1, \"Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective\": 1, \"Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration\": 1, \"FreeVS: Generative View Synthesis on Free Driving Trajectory\": 1, \"HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis\": 1, \"HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes\": 1, \"INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning\": 1, \"IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis\": 1, \"LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias\": 1, \"LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models\": 1, \"Learning General-purpose Biomedical Volume Representations using Randomized Synthesis\": 1, \"Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets\": 1, \"Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing\": 1, \"Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis\": 1, \"MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis\": 1, \"MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer\": 1, \"Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection\": 1, \"Procedural Synthesis of Synthesizable Molecules\": 1, \"Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model\": 1, \"RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning\": 1, \"SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers\": 1, \"STAR: Synthesis of Tailored Architectures\": 1, \"SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints\": 1, \"SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning\": 1, \"T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning\": 1, \"Training Language Models on Synthetic Edit Sequences Improves Code Synthesis\": 1, \"VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis\": 1, \"X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios\": 1, \"You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs\": 1, \"h4rm3l: A Language for Composable Jailbreak Attack Synthesis\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/papers.html?filter=title&search=synthesis\", \"value_kinds\": {}, \"values\": {\"title\": [\"Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets\", \"SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning\", \"Learning General-purpose Biomedical Volume Representations using Randomized Synthesis\", \"Diffusion On Syntax Trees For Program Synthesis\", \"3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation\", \"Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control\", \"FreeVS: Generative View Synthesis on Free Driving Trajectory\", \"T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning\", \"Anyprefer: An Agentic Framework for Preference Data Synthesis\", \"MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer\", \"INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning\", \"h4rm3l: A Language for Composable Jailbreak Attack Synthesis\", \"IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis\", \"Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model\", \"Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis\", \"LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias\", \"You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs\", \"HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis\", \"Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing\", \"HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes\", \"Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration\", \"RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning\", \"MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis\", \"SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers\", \"Training Language Models on Synthetic Edit Sequences Improves Code Synthesis\", \"X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios\", \"Procedural Synthesis of Synthesizable Molecules\", \"STAR: Synthesis of Tailored Architectures\", \"Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis\", \"VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis\", \"SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints\", \"Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection\", \"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials\", \"Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning\", \"LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models\", \"Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective\", \"Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-06cbd8aff7f8de2007f8", "input": "https://icml.cc/virtual/2025/papers.html?filter=title&search=tool", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-06cbd8aff7f8de2007f8\", \"input\": \"dataset/html/liveweb-ie-06cbd8aff7f8de2007f8.html\", \"input_sha256\": \"c2f7b51f020c6f773e3a8b3000687e5f0b602f497e530d57aebd7ca624c879d9\", \"original_reference\": {\"title\": [\"Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation\", \"The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models\", \"Tool Unlearning for Tool-Augmented LLMs\", \"Reducing Tool Hallucination via Reliability Alignment\", \"EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities\"]}, \"qualification\": {\"input_sha256\": \"c2f7b51f020c6f773e3a8b3000687e5f0b602f497e530d57aebd7ca624c879d9\", \"observed_at\": \"2026-11-06T10:07:24Z\", \"reference_sha256\": \"35a8f21a0b31abb4421354612ed768276d0176e4ee8dce8082b67e7c3031df16\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=tool\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every paper title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve every paper title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation\": 1, \"EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities\": 1, \"Reducing Tool Hallucination via Reliability Alignment\": 1, \"The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models\": 1, \"Tool Unlearning for Tool-Augmented LLMs\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/papers.html?filter=title&search=tool\", \"value_kinds\": {}, \"values\": {\"title\": [\"Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation\", \"The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models\", \"Tool Unlearning for Tool-Augmented LLMs\", \"Reducing Tool Hallucination via Reliability Alignment\", \"EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-d651771ea0b071aea9a8", "input": "https://marinespecies.org/photogallery.php?album=2509&pic=48562", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-d651771ea0b071aea9a8\", \"input\": \"dataset/html/liveweb-ie-d651771ea0b071aea9a8.html\", \"input_sha256\": \"402329071930ce0d49afadeb73e8955fb7c83f16d226f3e5cb4df8bc7ea3e372\", \"original_reference\": {\"author\": [\"Pillon, Roberto\"], \"species_image\": [\"https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=700\"], \"species_link\": [\"photogallery.php?album=2509\"]}, \"qualification\": {\"input_sha256\": \"402329071930ce0d49afadeb73e8955fb7c83f16d226f3e5cb4df8bc7ea3e372\", \"observed_at\": \"2026-11-06T10:07:32Z\", \"reference_sha256\": \"5c06366bf8126658e2a670e474956f5793bede567810598e0734f97e06186325\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=48562\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the name of the author, link of the species and image of this species of the photo\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Extract the name of the author, link of the species and image of this species of the photo; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species_image\": {\"description\": \"Extract the name of the author, link of the species and image of this species of the photo; target attribute: species_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"species_link\": {\"description\": \"Extract the name of the author, link of the species and image of this species of the photo; target attribute: species_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"species_link\", \"author\", \"species_image\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"author\": {\"Pillon, Roberto\": 1}, \"species_image\": {\"https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=700\": 1}, \"species_link\": {\"photogallery.php?album=2509\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509&pic=48562\", \"value_kinds\": {\"species_image\": \"url\", \"species_link\": \"url\"}, \"values\": {\"author\": [\"Pillon, Roberto\"], \"species_image\": [\"https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=700\"], \"species_link\": [\"photogallery.php?album=2509\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-a57ca8fc3d732dea37a6", "input": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=editing", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-a57ca8fc3d732dea37a6\", \"input\": \"dataset/html/liveweb-ie-a57ca8fc3d732dea37a6.html\", \"input_sha256\": \"d78631c154a2f2d527a8ea96526b0a7ba2c2a06ec11c8507d73f0cba269c76c0\", \"original_reference\": {\"title\": [\"GFlowNet Assisted Biological Sequence Editing\", \"DisCEdit: Model Editing by Identifying Discriminative Components\", \"Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing\", \"Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing\", \"Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps\", \"COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing\", \"I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing\", \"MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing\", \"ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping\", \"Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization\", \"D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup\", \"CigTime: Corrective Instruction Generation Through Inverse Motion Editing\", \"VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark\", \"Spectral Editing of Activations for Large Language Model Alignment\", \"Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration\", \"Towards Editing Time Series\", \"Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing\", \"UltraEdit: Instruction-based Fine-Grained Image Editing at Scale\", \"WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models\", \"ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation\", \"Provable Editing of Deep Neural Networks using Parametric Linear Relaxation\", \"Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models\", \"How Control Information Influences Multilingual Text Image Generation and Editing?\", \"NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing\", \"OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations\", \"Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing\", \"Aligning Large Language Models with Representation Editing: A Control Perspective\", \"GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing\", \"Learning Action and Reasoning-Centric Image Editing from Videos and Simulation\", \"TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control\", \"Zero-shot Image Editing with Reference Imitation\", \"HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion\", \"Reasons and Solutions for the Decline in Model Performance after Editing\", \"ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing\"]}, \"qualification\": {\"input_sha256\": \"d78631c154a2f2d527a8ea96526b0a7ba2c2a06ec11c8507d73f0cba269c76c0\", \"observed_at\": \"2026-11-06T10:07:17Z\", \"reference_sha256\": \"36c1f08cd011eb6b7602711f2ec13629e4a677040ec949d891e9b5d704219e6d\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=editing\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the titles of every paper on this page\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the titles of every paper on this page; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models\": 1, \"Aligning Large Language Models with Representation Editing: A Control Perspective\": 1, \"COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing\": 1, \"CigTime: Corrective Instruction Generation Through Inverse Motion Editing\": 1, \"ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation\": 1, \"D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup\": 1, \"DisCEdit: Model Editing by Identifying Discriminative Components\": 1, \"Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization\": 1, \"Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing\": 1, \"GFlowNet Assisted Biological Sequence Editing\": 1, \"GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing\": 1, \"HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion\": 1, \"How Control Information Influences Multilingual Text Image Generation and Editing?\": 1, \"I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing\": 1, \"Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps\": 1, \"Learning Action and Reasoning-Centric Image Editing from Videos and Simulation\": 1, \"MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing\": 1, \"NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing\": 1, \"OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations\": 1, \"ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping\": 1, \"ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing\": 1, \"Provable Editing of Deep Neural Networks using Parametric Linear Relaxation\": 1, \"Reasons and Solutions for the Decline in Model Performance after Editing\": 1, \"Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing\": 1, \"Spectral Editing of Activations for Large Language Model Alignment\": 1, \"TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control\": 1, \"Towards Editing Time Series\": 1, \"Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing\": 1, \"Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration\": 1, \"UltraEdit: Instruction-based Fine-Grained Image Editing at Scale\": 1, \"VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark\": 1, \"Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing\": 1, \"WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models\": 1, \"Zero-shot Image Editing with Reference Imitation\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/papers.html?filter=title&search=editing\", \"value_kinds\": {}, \"values\": {\"title\": [\"GFlowNet Assisted Biological Sequence Editing\", \"DisCEdit: Model Editing by Identifying Discriminative Components\", \"Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing\", \"Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing\", \"Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps\", \"COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing\", \"I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing\", \"MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing\", \"ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping\", \"Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization\", \"D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup\", \"CigTime: Corrective Instruction Generation Through Inverse Motion Editing\", \"VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark\", \"Spectral Editing of Activations for Large Language Model Alignment\", \"Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration\", \"Towards Editing Time Series\", \"Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing\", \"UltraEdit: Instruction-based Fine-Grained Image Editing at Scale\", \"WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models\", \"ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation\", \"Provable Editing of Deep Neural Networks using Parametric Linear Relaxation\", \"Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models\", \"How Control Information Influences Multilingual Text Image Generation and Editing?\", \"NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing\", \"OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations\", \"Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing\", \"Aligning Large Language Models with Representation Editing: A Control Perspective\", \"GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing\", \"Learning Action and Reasoning-Centric Image Editing from Videos and Simulation\", \"TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control\", \"Zero-shot Image Editing with Reference Imitation\", \"HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion\", \"Reasons and Solutions for the Decline in Model Performance after Editing\", \"ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-5a7b69eabcffa003d509", "input": "http://quotes.toscrape.com/page/1/", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-5a7b69eabcffa003d509\", \"input\": \"dataset/html/liveweb-ie-5a7b69eabcffa003d509.html\", \"input_sha256\": \"efdc2605a2062dceb335ba421bd61d3a6795fb88bfa9873096ecd4a9406de1e3\", \"original_reference\": {\"author\": [\"Albert Einstein\", \"J.K. Rowling\", \"Albert Einstein\", \"Jane Austen\", \"Marilyn Monroe\", \"Albert Einstein\", \"André Gide\", \"Thomas A. Edison\", \"Eleanor Roosevelt\", \"Steve Martin\"]}, \"qualification\": {\"input_sha256\": \"efdc2605a2062dceb335ba421bd61d3a6795fb88bfa9873096ecd4a9406de1e3\", \"observed_at\": \"2026-11-06T10:08:09Z\", \"reference_sha256\": \"3f9f3b3f83ca67eb2e299d53751fc19f34904bf47b6bf9834b3e9f73e0349baa\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/page/1/\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Collect each author of the quotes\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Collect each author of the quotes; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"author\": {\"Albert Einstein\": 3, \"André Gide\": 1, \"Eleanor Roosevelt\": 1, \"J.K. Rowling\": 1, \"Jane Austen\": 1, \"Marilyn Monroe\": 1, \"Steve Martin\": 1, \"Thomas A. Edison\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/page/1/\", \"value_kinds\": {}, \"values\": {\"author\": [\"Albert Einstein\", \"J.K. Rowling\", \"Jane Austen\", \"Marilyn Monroe\", \"André Gide\", \"Thomas A. Edison\", \"Eleanor Roosevelt\", \"Steve Martin\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-39e1b639e68c61eade51", "input": "https://sandbox.oxylabs.io/products?page=67", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-39e1b639e68c61eade51\", \"input\": \"dataset/html/liveweb-ie-39e1b639e68c61eade51.html\", \"input_sha256\": \"c3b56501035f2e84f05ec67486fbba35fee0c6e4fd222b5d1fa4ca2486bcf232\", \"original_reference\": {\"price\": [\"71,99 €\", \"79,99 €\", \"77,99 €\", \"74,99 €\", \"74,99 €\", \"75,99 €\", \"74,99 €\", \"69,99 €\", \"75,99 €\", \"71,99 €\", \"74,99 €\", \"58,99 €\", \"79,99 €\", \"63,99 €\", \"37,99 €\", \"73,99 €\", \"60,99 €\", \"64,99 €\", \"58,99 €\", \"88,99 €\", \"81,99 €\", \"83,99 €\", \"82,99 €\", \"75,99 €\", \"81,99 €\", \"80,99 €\", \"73,99 €\", \"77,99 €\", \"82,99 €\", \"79,99 €\", \"74,99 €\", \"68,99 €\"], \"title\": [\"Drox Operative\", \"Galaga Legions\", \"The Sims 2: FreeTime\", \"They Bleed Pixels\", \"Tumble\", \"Partisans 1941\", \"The Red Solstice\", \"Bejeweled 2\", \"Medal of Honor: Allied Assault - Spearhead\", \"Master of Orion: Conquer the Stars\", \"Sega Ages: G-LOC Air Battle\", \"Overwhelm\", \"Oriental Empires\", \"Minecraft: Story Mode Season Two - Episode 2: Giant Consequences\", \"Mirage: Arcane Warfare\", \"Stories: The Path of Destinies\", \"Fallout 4: Automatron\", \"Mega Coin Squad\", \"Dragon Age: Inquisition - Jaws Of Hakkon\", \"NFL Fever 2004\", \"Phantom Crash\", \"Cossacks: The Art of War\", \"Mario Party 3\", \"Delta Force: Land Warrior\", \"Kessen III\", \"What Did I Do to Deserve This, My Lord!? 2\", \"Pursuit Force: Extreme Justice\", \"Namco Museum Battle Collection\", \"Yggdra Union: We'll Never Fight Alone\", \"Naruto: Ultimate Ninja 2\", \"Ladykiller in a Bind\", \"New International Track & Field\"]}, \"qualification\": {\"input_sha256\": \"c3b56501035f2e84f05ec67486fbba35fee0c6e4fd222b5d1fa4ca2486bcf232\", \"observed_at\": \"2026-11-06T10:08:05Z\", \"reference_sha256\": \"fdac89e81445c170e5a02704f029fb7fec9f4bf42e3595fb364516178ec69592\", \"source_supported_corrections\": [], \"source_url\": \"https://sandbox.oxylabs.io/products?page=67\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve every game title with its price\", \"schema\": {\"properties\": {\"price\": {\"description\": \"Retrieve every game title with its price; target attribute: price\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Retrieve every game title with its price; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"price\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"price\": {\"37,99 €\": 1, \"58,99 €\": 2, \"60,99 €\": 1, \"63,99 €\": 1, \"64,99 €\": 1, \"68,99 €\": 1, \"69,99 €\": 1, \"71,99 €\": 2, \"73,99 €\": 2, \"74,99 €\": 5, \"75,99 €\": 3, \"77,99 €\": 2, \"79,99 €\": 3, \"80,99 €\": 1, \"81,99 €\": 2, \"82,99 €\": 2, \"83,99 €\": 1, \"88,99 €\": 1}, \"title\": {\"Bejeweled 2\": 1, \"Cossacks: The Art of War\": 1, \"Delta Force: Land Warrior\": 1, \"Dragon Age: Inquisition - Jaws Of Hakkon\": 1, \"Drox Operative\": 1, \"Fallout 4: Automatron\": 1, \"Galaga Legions\": 1, \"Kessen III\": 1, \"Ladykiller in a Bind\": 1, \"Mario Party 3\": 1, \"Master of Orion: Conquer the Stars\": 1, \"Medal of Honor: Allied Assault - Spearhead\": 1, \"Mega Coin Squad\": 1, \"Minecraft: Story Mode Season Two - Episode 2: Giant Consequences\": 1, \"Mirage: Arcane Warfare\": 1, \"NFL Fever 2004\": 1, \"Namco Museum Battle Collection\": 1, \"Naruto: Ultimate Ninja 2\": 1, \"New International Track & Field\": 1, \"Oriental Empires\": 1, \"Overwhelm\": 1, \"Partisans 1941\": 1, \"Phantom Crash\": 1, \"Pursuit Force: Extreme Justice\": 1, \"Sega Ages: G-LOC Air Battle\": 1, \"Stories: The Path of Destinies\": 1, \"The Red Solstice\": 1, \"The Sims 2: FreeTime\": 1, \"They Bleed Pixels\": 1, \"Tumble\": 1, \"What Did I Do to Deserve This, My Lord!? 2\": 1, \"Yggdra Union: We'll Never Fight Alone\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products?page=67\", \"value_kinds\": {}, \"values\": {\"price\": [\"71,99 €\", \"79,99 €\", \"77,99 €\", \"74,99 €\", \"75,99 €\", \"69,99 €\", \"58,99 €\", \"63,99 €\", \"37,99 €\", \"73,99 €\", \"60,99 €\", \"64,99 €\", \"88,99 €\", \"81,99 €\", \"83,99 €\", \"82,99 €\", \"80,99 €\", \"68,99 €\"], \"title\": [\"Drox Operative\", \"Galaga Legions\", \"The Sims 2: FreeTime\", \"They Bleed Pixels\", \"Tumble\", \"Partisans 1941\", \"The Red Solstice\", \"Bejeweled 2\", \"Medal of Honor: Allied Assault - Spearhead\", \"Master of Orion: Conquer the Stars\", \"Sega Ages: G-LOC Air Battle\", \"Overwhelm\", \"Oriental Empires\", \"Minecraft: Story Mode Season Two - Episode 2: Giant Consequences\", \"Mirage: Arcane Warfare\", \"Stories: The Path of Destinies\", \"Fallout 4: Automatron\", \"Mega Coin Squad\", \"Dragon Age: Inquisition - Jaws Of Hakkon\", \"NFL Fever 2004\", \"Phantom Crash\", \"Cossacks: The Art of War\", \"Mario Party 3\", \"Delta Force: Land Warrior\", \"Kessen III\", \"What Did I Do to Deserve This, My Lord!? 2\", \"Pursuit Force: Extreme Justice\", \"Namco Museum Battle Collection\", \"Yggdra Union: We'll Never Fight Alone\", \"Naruto: Ultimate Ninja 2\", \"Ladykiller in a Bind\", \"New International Track & Field\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-87f2e6098e645f72ce25", "input": "https://www.scrapethissite.com/pages/forms/?page_num=16", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-87f2e6098e645f72ce25\", \"input\": \"dataset/html/liveweb-ie-87f2e6098e645f72ce25.html\", \"input_sha256\": \"37364b26d6064d09899fa003ec88689fbf55def73fe4be7ef459357ec5af15ef\", \"original_reference\": {\"year\": [\"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\", \"2005\"]}, \"qualification\": {\"input_sha256\": \"37364b26d6064d09899fa003ec88689fbf55def73fe4be7ef459357ec5af15ef\", \"observed_at\": \"2026-11-06T10:07:59Z\", \"reference_sha256\": \"fbee82bb37a8e5973a1dcd5ff260de1559a1f5385d1fa8630e3ed01e938c05e8\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=16\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Return the whole set of years\", \"schema\": {\"properties\": {\"year\": {\"description\": \"Return the whole set of years; target attribute: year\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"year\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"year\": {\"2005\": 25}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=16\", \"value_kinds\": {}, \"values\": {\"year\": [\"2005\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-66146f8d62ab64e78880", "input": "https://www.thecocktaildb.com/browse/letter/g", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-66146f8d62ab64e78880\", \"input\": \"dataset/html/liveweb-ie-66146f8d62ab64e78880.html\", \"input_sha256\": \"28b0e8152d07d9f903cd418fd1cfad474fd772450942421143757f957d44ba86\", \"original_reference\": {\"cocktail\": [\"Gagliardo\", \"Garibaldi Negroni\", \"Gentleman's Club\", \"GG\", \"Gideon's Green Dinosaur\", \"Gimlet\", \"Gin and Soda\", \"Gin And Tonic\", \"Gin Basil Smash\", \"Gin Cooler\", \"Gin Daisy\", \"Gin Fizz\", \"Gin Lemon\", \"Gin Rickey\", \"Gin Sling\", \"Gin Smash\", \"Gin Sour\", \"Gin Squirt\", \"Gin Swizzle\", \"Gin Toddy\", \"Gin Tonic\", \"Girl From Ipanema\", \"Gluehwein\", \"Godchild\", \"Godfather\", \"Godmother\", \"Golden dream\", \"Grand Blue\", \"Grape lemon pineapple Smoothie\", \"Grass Skirt\", \"Grasshopper\", \"Green Goblin\", \"Greyhound\", \"Grim Reaper\", \"Grizzly Bear\"]}, \"qualification\": {\"input_sha256\": \"28b0e8152d07d9f903cd418fd1cfad474fd772450942421143757f957d44ba86\", \"observed_at\": \"2026-11-06T10:07:55Z\", \"reference_sha256\": \"5ccdfb6adb4902e05cad6304446fe454df438b1f4f6d49c7e78ca3454eae1eed\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/browse/letter/g\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the list of every drink's name\", \"schema\": {\"properties\": {\"cocktail\": {\"description\": \"Fetch the list of every drink's name; target attribute: cocktail\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"cocktail\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"cocktail\": {\"GG\": 1, \"Gagliardo\": 1, \"Garibaldi Negroni\": 1, \"Gentleman's Club\": 1, \"Gideon's Green Dinosaur\": 1, \"Gimlet\": 1, \"Gin And Tonic\": 1, \"Gin Basil Smash\": 1, \"Gin Cooler\": 1, \"Gin Daisy\": 1, \"Gin Fizz\": 1, \"Gin Lemon\": 1, \"Gin Rickey\": 1, \"Gin Sling\": 1, \"Gin Smash\": 1, \"Gin Sour\": 1, \"Gin Squirt\": 1, \"Gin Swizzle\": 1, \"Gin Toddy\": 1, \"Gin Tonic\": 1, \"Gin and Soda\": 1, \"Girl From Ipanema\": 1, \"Gluehwein\": 1, \"Godchild\": 1, \"Godfather\": 1, \"Godmother\": 1, \"Golden dream\": 1, \"Grand Blue\": 1, \"Grape lemon pineapple Smoothie\": 1, \"Grass Skirt\": 1, \"Grasshopper\": 1, \"Green Goblin\": 1, \"Greyhound\": 1, \"Grim Reaper\": 1, \"Grizzly Bear\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/browse/letter/g\", \"value_kinds\": {}, \"values\": {\"cocktail\": [\"Gagliardo\", \"Garibaldi Negroni\", \"Gentleman's Club\", \"GG\", \"Gideon's Green Dinosaur\", \"Gimlet\", \"Gin and Soda\", \"Gin And Tonic\", \"Gin Basil Smash\", \"Gin Cooler\", \"Gin Daisy\", \"Gin Fizz\", \"Gin Lemon\", \"Gin Rickey\", \"Gin Sling\", \"Gin Smash\", \"Gin Sour\", \"Gin Squirt\", \"Gin Swizzle\", \"Gin Toddy\", \"Gin Tonic\", \"Girl From Ipanema\", \"Gluehwein\", \"Godchild\", \"Godfather\", \"Godmother\", \"Golden dream\", \"Grand Blue\", \"Grape lemon pineapple Smoothie\", \"Grass Skirt\", \"Grasshopper\", \"Green Goblin\", \"Greyhound\", \"Grim Reaper\", \"Grizzly Bear\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-fe0c83ec6ea15097e479", "input": "https://www.themealdb.com/browse/letter/p", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-fe0c83ec6ea15097e479\", \"input\": \"dataset/html/liveweb-ie-fe0c83ec6ea15097e479.html\", \"input_sha256\": \"87ee79caf37d10075f13057d4a4bb7b86478ff5417ce79a9212f5343ea35d1d9\", \"original_reference\": {\"meal\": [\"Pad See Ew\", \"Potato Gratin with Chicken\", \"Poutine\", \"Pilchard puttanesca\", \"Pork Cassoulet\", \"Pancakes\", \"Pumpkin Pie\", \"Peanut Butter Cheesecake\", \"Peach & Blueberry Grunt\", \"Parkin Cake\", \"Pear Tarte Tatin\", \"Provençal Omelette Cake\", \"Prawn & Fennel Bisque\", \"Pate Chinois\", \"Pouding chomeur\", \"Peanut Butter Cookies\", \"Pizza Express Margherita\", \"Paszteciki (Polish Pasties)\", \"Pierogi (Polish Dumplings)\", \"Polskie Nalesniki (Polish Pancakes)\", \"Piri-piri chicken and slaw\", \"Portuguese prego with green piri-piri\", \"Portuguese barbecued pork (Febras assadas)\", \"Portuguese fish stew (Caldeirada de peixe)\", \"Portuguese custard tarts\", \"Potato Salad (Olivier Salad)\"]}, \"qualification\": {\"input_sha256\": \"87ee79caf37d10075f13057d4a4bb7b86478ff5417ce79a9212f5343ea35d1d9\", \"observed_at\": \"2026-11-06T10:07:51Z\", \"reference_sha256\": \"72128bff78bfcb39c11d0530a167ef4eaaec7c8ff5dd5f63def75f93122c042a\", \"source_supported_corrections\": [], \"source_url\": \"https://www.themealdb.com/browse/letter/p\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get a list of all food names\", \"schema\": {\"properties\": {\"meal\": {\"description\": \"Get a list of all food names; target attribute: meal\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"meal\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"meal\": {\"Pad See Ew\": 1, \"Pancakes\": 1, \"Parkin Cake\": 1, \"Paszteciki (Polish Pasties)\": 1, \"Pate Chinois\": 1, \"Peach & Blueberry Grunt\": 1, \"Peanut Butter Cheesecake\": 1, \"Peanut Butter Cookies\": 1, \"Pear Tarte Tatin\": 1, \"Pierogi (Polish Dumplings)\": 1, \"Pilchard puttanesca\": 1, \"Piri-piri chicken and slaw\": 1, \"Pizza Express Margherita\": 1, \"Polskie Nalesniki (Polish Pancakes)\": 1, \"Pork Cassoulet\": 1, \"Portuguese barbecued pork (Febras assadas)\": 1, \"Portuguese custard tarts\": 1, \"Portuguese fish stew (Caldeirada de peixe)\": 1, \"Portuguese prego with green piri-piri\": 1, \"Potato Gratin with Chicken\": 1, \"Potato Salad (Olivier Salad)\": 1, \"Pouding chomeur\": 1, \"Poutine\": 1, \"Prawn & Fennel Bisque\": 1, \"Provençal Omelette Cake\": 1, \"Pumpkin Pie\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/browse/letter/p\", \"value_kinds\": {}, \"values\": {\"meal\": [\"Pad See Ew\", \"Potato Gratin with Chicken\", \"Poutine\", \"Pilchard puttanesca\", \"Pork Cassoulet\", \"Pancakes\", \"Pumpkin Pie\", \"Peanut Butter Cheesecake\", \"Peach & Blueberry Grunt\", \"Parkin Cake\", \"Pear Tarte Tatin\", \"Provençal Omelette Cake\", \"Prawn & Fennel Bisque\", \"Pate Chinois\", \"Pouding chomeur\", \"Peanut Butter Cookies\", \"Pizza Express Margherita\", \"Paszteciki (Polish Pasties)\", \"Pierogi (Polish Dumplings)\", \"Polskie Nalesniki (Polish Pancakes)\", \"Piri-piri chicken and slaw\", \"Portuguese prego with green piri-piri\", \"Portuguese barbecued pork (Febras assadas)\", \"Portuguese fish stew (Caldeirada de peixe)\", \"Portuguese custard tarts\", \"Potato Salad (Olivier Salad)\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2f694f7fa5775c00f360", "input": "https://www.thesportsdb.com/event/1543904-south-korea-vs-ghana", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-2f694f7fa5775c00f360\", \"input\": \"dataset/html/liveweb-ie-2f694f7fa5775c00f360.html\", \"input_sha256\": \"0b59f887a734db6a9551755b4bb492fa4777a2f9b7dd95ad4c8db0b82ea2f229\", \"original_reference\": {\"event_link\": [\"/event/1543904-south-korea-vs-ghana\"], \"youtube_link\": [\"https://www.youtube.com/watch?v=pb4nQnRaQx8\"]}, \"qualification\": {\"input_sha256\": \"0b59f887a734db6a9551755b4bb492fa4777a2f9b7dd95ad4c8db0b82ea2f229\", \"observed_at\": \"2026-11-06T10:07:48Z\", \"reference_sha256\": \"eeade60ab8023a3398ec74f212e7232b3fc77325816a512e13d841659998c420\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/event/1543904-south-korea-vs-ghana\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Gather the link for the event name and the link to the youtube video.\", \"schema\": {\"properties\": {\"event_link\": {\"description\": \"Gather the link for the event name and the link to the youtube video.; target attribute: event_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"youtube_link\": {\"description\": \"Gather the link for the event name and the link to the youtube video.; target attribute: youtube_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"event_link\", \"youtube_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"event_link\": {\"/event/1543904-south-korea-vs-ghana\": 1}, \"youtube_link\": {\"https://www.youtube.com/watch?v=pb4nQnRaQx8\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/event/1543904-south-korea-vs-ghana\", \"value_kinds\": {\"event_link\": \"url\", \"youtube_link\": \"url\"}, \"values\": {\"event_link\": [\"/event/1543904-south-korea-vs-ghana\"], \"youtube_link\": [\"https://www.youtube.com/watch?v=pb4nQnRaQx8\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-3e7d19a802c8383d62f3", "input": "https://arxiv.org/abs/2401.16529", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-3e7d19a802c8383d62f3\", \"input\": \"dataset/html/liveweb-ie-3e7d19a802c8383d62f3.html\", \"input_sha256\": \"f0ce608fd2f740155ff6ce77b8fdcd59def85ef54395bdab2ebac83139af4eb7\", \"original_reference\": {\"author\": [\"Yidi Wang\", \"Cong Liu\", \"Daniel Wong\", \"Hyoseung Kim\"], \"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Liu,+C\", \"https://arxiv.org/search/cs?searchtype=author&query=Wong,+D\", \"https://arxiv.org/search/cs?searchtype=author&query=Kim,+H\"]}, \"qualification\": {\"input_sha256\": \"f0ce608fd2f740155ff6ce77b8fdcd59def85ef54395bdab2ebac83139af4eb7\", \"observed_at\": \"2026-11-06T10:07:06Z\", \"reference_sha256\": \"c9430897e69d829352a68251088dc5aa3458955804a9658f84e4574aff2a23d1\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.16529\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please provide each author's name and the link to their detailed profile\", \"schema\": {\"properties\": {\"author\": {\"description\": \"Please provide each author's name and the link to their detailed profile; target attribute: author\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"author_profile_link\": {\"description\": \"Please provide each author's name and the link to their detailed profile; target attribute: author_profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author\", \"author_profile_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"author\": {\"Cong Liu\": 1, \"Daniel Wong\": 1, \"Hyoseung Kim\": 1, \"Yidi Wang\": 1}, \"author_profile_link\": {\"https://arxiv.org/search/cs?searchtype=author&query=Kim,+H\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Liu,+C\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Wong,+D\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.16529\", \"value_kinds\": {\"author_profile_link\": \"url\"}, \"values\": {\"author\": [\"Yidi Wang\", \"Cong Liu\", \"Daniel Wong\", \"Hyoseung Kim\"], \"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Liu,+C\", \"https://arxiv.org/search/cs?searchtype=author&query=Wong,+D\", \"https://arxiv.org/search/cs?searchtype=author&query=Kim,+H\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-ee9cceeb9fb4016ef948", "input": "https://books.toscrape.com/catalogue/category/books/historical-fiction_4/index.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-ee9cceeb9fb4016ef948\", \"input\": \"dataset/html/liveweb-ie-ee9cceeb9fb4016ef948.html\", \"input_sha256\": \"8c5f37afece8826792910cc612ac8b469e1ce0cf19d75acc851a937c7272ea38\", \"original_reference\": {\"count\": [\"26\"]}, \"qualification\": {\"input_sha256\": \"8c5f37afece8826792910cc612ac8b469e1ce0cf19d75acc851a937c7272ea38\", \"observed_at\": \"2026-11-06T10:08:15Z\", \"reference_sha256\": \"b3e2317f88c77ac9227e62da469143d08fadf1cbd468625c82a207bcd1f79cac\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/category/books/historical-fiction_4/index.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Return the number of books\", \"schema\": {\"properties\": {\"count\": {\"description\": \"Return the number of books; target attribute: count\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"count\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"count\": {\"26\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/category/books/historical-fiction_4/index.html\", \"value_kinds\": {}, \"values\": {\"count\": [\"26\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-759977ed1d01e6feaec4", "input": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Macan&srchtyp=ymm&pageno=1&rowLimit=50", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-759977ed1d01e6feaec4\", \"input\": \"dataset/html/liveweb-ie-759977ed1d01e6feaec4.html\", \"input_sha256\": \"e9c1f7c3f58c90bd7f386afccfea45ebc922f33c7794f44990d91fbf505b58d7\", \"original_reference\": {\"driver_mpg\": [\"NA\", \"NA\", \"NA\", \"NA\"], \"vehicle_link\": [\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45834\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45836\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45835\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45837\"]}, \"qualification\": {\"input_sha256\": \"e9c1f7c3f58c90bd7f386afccfea45ebc922f33c7794f44990d91fbf505b58d7\", \"observed_at\": \"2026-11-06T10:07:43Z\", \"reference_sha256\": \"51da0e9d5d9d497dbc5ad1bc1bff456f4e8e51ebeccd7df668e3e6f6832ee400\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Macan&srchtyp=ymm&pageno=1&rowLimit=50\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the detail links of all cars and all driver mpg from the same page.\", \"schema\": {\"properties\": {\"driver_mpg\": {\"description\": \"Extract the detail links of all cars and all driver mpg from the same page.; target attribute: driver_mpg\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_link\": {\"description\": \"Extract the detail links of all cars and all driver mpg from the same page.; target attribute: vehicle_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_link\", \"driver_mpg\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"driver_mpg\": {\"NA\": 4}, \"vehicle_link\": {\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45834\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45835\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45836\": 1, \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45837\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Macan&srchtyp=ymm&pageno=1&rowLimit=50\", \"value_kinds\": {\"vehicle_link\": \"url\"}, \"values\": {\"driver_mpg\": [\"NA\"], \"vehicle_link\": [\"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45834\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45836\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45835\", \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45837\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-731e0aefd819d5575ccc", "input": "https://huggingface.co/papers/2408.14468", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-731e0aefd819d5575ccc\", \"input\": \"dataset/html/liveweb-ie-731e0aefd819d5575ccc.html\", \"input_sha256\": \"9e2c328ceac697b352e5e39803e14022eda3c7371454fe49ee1dd6d0131cb90d\", \"original_reference\": {\"source_link\": [\"https://arxiv.org/abs/2408.14468\"], \"title\": [\"K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models\"]}, \"qualification\": {\"input_sha256\": \"9e2c328ceac697b352e5e39803e14022eda3c7371454fe49ee1dd6d0131cb90d\", \"observed_at\": \"2026-11-06T10:07:38Z\", \"reference_sha256\": \"e5bee8297d391cbbad7dab9f795f0b9aa6f9033883860073ce16fbaaae2daa43\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/2408.14468\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the paper's title and its arxiv link.\", \"schema\": {\"properties\": {\"source_link\": {\"description\": \"Retrieve the paper's title and its arxiv link.; target attribute: source_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Retrieve the paper's title and its arxiv link.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"source_link\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"source_link\": {\"https://arxiv.org/abs/2408.14468\": 1}, \"title\": {\"K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/2408.14468\", \"value_kinds\": {\"source_link\": \"url\"}, \"values\": {\"source_link\": [\"https://arxiv.org/abs/2408.14468\"], \"title\": [\"K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-7a10e2f6dc5013e8b316", "input": "https://iclr.cc/virtual/2025/poster/30784", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"iclr\", \"id\": \"liveweb-ie-7a10e2f6dc5013e8b316\", \"input\": \"dataset/html/liveweb-ie-7a10e2f6dc5013e8b316.html\", \"input_sha256\": \"c99cfd91c4708e9a5412e70392704daa033d7826e4b72e63df66398d9f8b2085\", \"original_reference\": {\"title\": [\"HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis\"]}, \"qualification\": {\"input_sha256\": \"c99cfd91c4708e9a5412e70392704daa033d7826e4b72e63df66398d9f8b2085\", \"observed_at\": \"2026-11-06T10:07:10Z\", \"reference_sha256\": \"63b8802653a79c142fb6f5e292f9ee5464e0d866780572c22c35e41cb024ba90\", \"source_supported_corrections\": [], \"source_url\": \"https://iclr.cc/virtual/2025/poster/30784\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Retrieve the title of the research paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Retrieve the title of the research paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"iclr\", \"source_value_counts\": {\"title\": {\"HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis\": 1}}, \"unscored_fields\": {}, \"url\": \"https://iclr.cc/virtual/2025/poster/30784\", \"value_kinds\": {}, \"values\": {\"title\": [\"HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-3743e588c29ca46588ed", "input": "https://icml.cc/virtual/2025/poster/46207", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"icml\", \"id\": \"liveweb-ie-3743e588c29ca46588ed\", \"input\": \"dataset/html/liveweb-ie-3743e588c29ca46588ed.html\", \"input_sha256\": \"51a58b4706a8534d60fd2bf6ea490ba1a10793fde087176fe495dec8ee8603a6\", \"original_reference\": {\"title\": [\"TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision\"]}, \"qualification\": {\"input_sha256\": \"51a58b4706a8534d60fd2bf6ea490ba1a10793fde087176fe495dec8ee8603a6\", \"observed_at\": \"2026-11-06T10:07:24Z\", \"reference_sha256\": \"02e2885ae76449be7e78ff4a94aee155b3c9b63423ddcc62ea7b03dbf9052459\", \"source_supported_corrections\": [], \"source_url\": \"https://icml.cc/virtual/2025/poster/46207\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the title of this paper.\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Fetch the title of this paper.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"icml\", \"source_value_counts\": {\"title\": {\"TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision\": 1}}, \"unscored_fields\": {}, \"url\": \"https://icml.cc/virtual/2025/poster/46207\", \"value_kinds\": {}, \"values\": {\"title\": [\"TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-255be5e79cd2f927a528", "input": "https://marinespecies.org/photogallery.php?album=2509", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"marinespecies\", \"id\": \"liveweb-ie-255be5e79cd2f927a528\", \"input\": \"dataset/html/liveweb-ie-255be5e79cd2f927a528.html\", \"input_sha256\": \"e9d902b34b7fbba351399b8d0d869928dfa818075258dc4c65a8a95b8d5169d4\", \"original_reference\": {\"species_image\": [\"https://images.marinespecies.org/thumbs/162802_bonellia-viridis-fig-3.jpg?w=150\", \"https://images.marinespecies.org/thumbs/162800_bonellia-viridis-fig-2.jpg?w=150\", \"https://images.marinespecies.org/thumbs/117921_bonellia-viridis-original-plate-by-rolando-1822.jpg?w=150\", \"https://images.marinespecies.org/thumbs/114295_echiurus-echiurus---whole-preserved-specimen.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113740_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113274_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113273_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113272_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113271_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113270_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113269_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113268_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113267_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113266_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107455_echiurus-echiurus-echiuran-worm-from-cod-stomach.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107454_echiuran-worm-contracted.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107453_hamingia-arctica-echiuran-worm.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107452_hamingia-arctica-from-cod-stomach.jpg?w=150\", \"https://images.marinespecies.org/thumbs/106448_maxmuelleria-faex.jpg?w=150\", \"https://images.marinespecies.org/thumbs/80788_arhynchite-pugettensis.jpg?w=150\", \"https://images.marinespecies.org/thumbs/48564_bonellia-viridis.jpg?w=150\", \"https://images.marinespecies.org/thumbs/48563_bonellia-viridis.jpg?h=200\", \"https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=150\", \"https://images.marinespecies.org/thumbs/48561_bonellia-viridis.jpg?w=150\"]}, \"qualification\": {\"input_sha256\": \"e9d902b34b7fbba351399b8d0d869928dfa818075258dc4c65a8a95b8d5169d4\", \"observed_at\": \"2026-11-06T10:07:33Z\", \"reference_sha256\": \"e143b6f9873ed23e8ca6035070d74f86a92883886b4738b41ec4edd4821d6dd3\", \"source_supported_corrections\": [], \"source_url\": \"https://marinespecies.org/photogallery.php?album=2509\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Please extract all photo urls.\", \"schema\": {\"properties\": {\"species_image\": {\"description\": \"Please extract all photo urls.; target attribute: species_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"species_image\"], \"type\": \"object\"}, \"site\": \"marinespecies\", \"source_value_counts\": {\"species_image\": {\"https://images.marinespecies.org/thumbs/106448_maxmuelleria-faex.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/107452_hamingia-arctica-from-cod-stomach.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/107453_hamingia-arctica-echiuran-worm.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/107454_echiuran-worm-contracted.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/107455_echiurus-echiurus-echiuran-worm-from-cod-stomach.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113266_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113267_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113268_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113269_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113270_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113271_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113272_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113273_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113274_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/113740_echiurus-echiurus-pallas-1766.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/114295_echiurus-echiurus---whole-preserved-specimen.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/117921_bonellia-viridis-original-plate-by-rolando-1822.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/162800_bonellia-viridis-fig-2.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/162802_bonellia-viridis-fig-3.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/48561_bonellia-viridis.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/48563_bonellia-viridis.jpg?h=200\": 1, \"https://images.marinespecies.org/thumbs/48564_bonellia-viridis.jpg?w=150\": 1, \"https://images.marinespecies.org/thumbs/80788_arhynchite-pugettensis.jpg?w=150\": 1}}, \"unscored_fields\": {}, \"url\": \"https://marinespecies.org/photogallery.php?album=2509\", \"value_kinds\": {\"species_image\": \"url\"}, \"values\": {\"species_image\": [\"https://images.marinespecies.org/thumbs/162802_bonellia-viridis-fig-3.jpg?w=150\", \"https://images.marinespecies.org/thumbs/162800_bonellia-viridis-fig-2.jpg?w=150\", \"https://images.marinespecies.org/thumbs/117921_bonellia-viridis-original-plate-by-rolando-1822.jpg?w=150\", \"https://images.marinespecies.org/thumbs/114295_echiurus-echiurus---whole-preserved-specimen.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113740_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113274_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113273_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113272_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113271_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113270_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113269_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113268_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113267_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/113266_echiurus-echiurus-pallas-1766.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107455_echiurus-echiurus-echiuran-worm-from-cod-stomach.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107454_echiuran-worm-contracted.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107453_hamingia-arctica-echiuran-worm.jpg?w=150\", \"https://images.marinespecies.org/thumbs/107452_hamingia-arctica-from-cod-stomach.jpg?w=150\", \"https://images.marinespecies.org/thumbs/106448_maxmuelleria-faex.jpg?w=150\", \"https://images.marinespecies.org/thumbs/80788_arhynchite-pugettensis.jpg?w=150\", \"https://images.marinespecies.org/thumbs/48564_bonellia-viridis.jpg?w=150\", \"https://images.marinespecies.org/thumbs/48563_bonellia-viridis.jpg?h=200\", \"https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=150\", \"https://images.marinespecies.org/thumbs/48561_bonellia-viridis.jpg?w=150\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-cc15f1f55dd2beb8495e", "input": "https://neurips.cc/virtual/2024/poster/93667", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"neurips\", \"id\": \"liveweb-ie-cc15f1f55dd2beb8495e\", \"input\": \"dataset/html/liveweb-ie-cc15f1f55dd2beb8495e.html\", \"input_sha256\": \"39e311c9e7225f029cd4a99190f9167b01c35790862968f4c10a3c2602f7ffd7\", \"original_reference\": {\"title\": [\"Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning\"]}, \"qualification\": {\"input_sha256\": \"39e311c9e7225f029cd4a99190f9167b01c35790862968f4c10a3c2602f7ffd7\", \"observed_at\": \"2026-11-06T10:07:17Z\", \"reference_sha256\": \"6261f88a2cc2c21b28fa4e2712d545f7409c822fa08a41f8a704994858c01a50\", \"source_supported_corrections\": [], \"source_url\": \"https://neurips.cc/virtual/2024/poster/93667\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get the paper's title\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Get the paper's title; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"neurips\", \"source_value_counts\": {\"title\": {\"Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning\": 1}}, \"unscored_fields\": {}, \"url\": \"https://neurips.cc/virtual/2024/poster/93667\", \"value_kinds\": {}, \"values\": {\"title\": [\"Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-2b98e27bcff828ecf740", "input": "http://quotes.toscrape.com/author/George-Bernard-Shaw", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"quotestoscrape\", \"id\": \"liveweb-ie-2b98e27bcff828ecf740\", \"input\": \"dataset/html/liveweb-ie-2b98e27bcff828ecf740.html\", \"input_sha256\": \"1d984ae7ed5ec0025d02256929092ce93d28f0553a76c071c4159d25d14e0aa8\", \"original_reference\": {\"birth\": [\"July 26, 1856\"]}, \"qualification\": {\"input_sha256\": \"1d984ae7ed5ec0025d02256929092ce93d28f0553a76c071c4159d25d14e0aa8\", \"observed_at\": \"2026-11-06T10:08:11Z\", \"reference_sha256\": \"fee0d09c6a8172a7463569f79ec3a1ae192f76cb4589a5d3543566e841a2fa23\", \"source_supported_corrections\": [], \"source_url\": \"http://quotes.toscrape.com/author/George-Bernard-Shaw\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Collect the author's born details\", \"schema\": {\"properties\": {\"birth\": {\"description\": \"Collect the author's born details; target attribute: birth\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"birth\"], \"type\": \"object\"}, \"site\": \"quotestoscrape\", \"source_value_counts\": {\"birth\": {\"July 26, 1856\": 1}}, \"unscored_fields\": {}, \"url\": \"http://quotes.toscrape.com/author/George-Bernard-Shaw\", \"value_kinds\": {}, \"values\": {\"birth\": [\"July 26, 1856\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-a0a438bd8693c622ed24", "input": "https://sandbox.oxylabs.io/products/762", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"sandboxoxlabio\", \"id\": \"liveweb-ie-a0a438bd8693c622ed24\", \"input\": \"dataset/html/liveweb-ie-a0a438bd8693c622ed24.html\", \"input_sha256\": \"55452fcf08723d6f19e7d9f00e8007bcac98e66298c845aa6a4ebe862f195c6d\", \"original_reference\": {\"image\": [\"/assets/sports.svg\"], \"platform\": [\"pc\"], \"title\": [\"Virtual Pool 3\"]}, \"qualification\": {\"input_sha256\": \"55452fcf08723d6f19e7d9f00e8007bcac98e66298c845aa6a4ebe862f195c6d\", \"observed_at\": \"2026-11-06T10:08:05Z\", \"reference_sha256\": \"e8ed33d24beecfa63f37c318e428e267793f18e91eaaa3d65b4cab14a1c89118\", \"source_supported_corrections\": [{\"accepted\": \"Pc\", \"field\": \"platform\", \"original\": \"pc\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"55452fcf08723d6f19e7d9f00e8007bcac98e66298c845aa6a4ebe862f195c6d\"}], \"source_url\": \"https://sandbox.oxylabs.io/products/762\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game.\", \"schema\": {\"properties\": {\"image\": {\"description\": \"Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game.; target attribute: image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"platform\": {\"description\": \"Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game.; target attribute: platform\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"platform\", \"image\"], \"type\": \"object\"}, \"site\": \"sandboxoxlabio\", \"source_value_counts\": {\"image\": {\"/assets/sports.svg\": 1}, \"platform\": {\"Pc\": 1}, \"title\": {\"Virtual Pool 3\": 1}}, \"unscored_fields\": {}, \"url\": \"https://sandbox.oxylabs.io/products/762\", \"value_kinds\": {\"image\": \"url\"}, \"values\": {\"image\": [\"/assets/sports.svg\"], \"platform\": [\"Pc\"], \"title\": [\"Virtual Pool 3\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-de4ff4172cf2ebf6ece3", "input": "https://www.scrapethissite.com/pages/forms/?page_num=11", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"scrapethissite\", \"id\": \"liveweb-ie-de4ff4172cf2ebf6ece3\", \"input\": \"dataset/html/liveweb-ie-de4ff4172cf2ebf6ece3.html\", \"input_sha256\": \"d697d7bb484adef4519e76cf5da988407c7b136c4a3afa18c57b9c9ee3cd2129\", \"original_reference\": {\"team\": [\"Vancouver Canucks\", \"Washington Capitals\", \"Mighty Ducks of Anaheim\", \"Atlanta Thrashers\", \"Boston Bruins\", \"Buffalo Sabres\", \"Calgary Flames\", \"Carolina Hurricanes\", \"Columbus Blue Jackets\", \"Chicago Blackhawks\", \"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\"], \"wins\": [\"30\", \"44\", \"25\", \"23\", \"36\", \"46\", \"27\", \"38\", \"28\", \"29\", \"52\", \"48\", \"49\", \"39\", \"22\", \"38\", \"25\", \"28\", \"34\", \"48\", \"21\", \"33\", \"48\", \"43\", \"35\"]}, \"qualification\": {\"input_sha256\": \"d697d7bb484adef4519e76cf5da988407c7b136c4a3afa18c57b9c9ee3cd2129\", \"observed_at\": \"2026-11-06T10:07:59Z\", \"reference_sha256\": \"3d64b5a62f9463ccec5b693ba5bc039a6a8d7cda90888375e6b45690c9b67dc9\", \"source_supported_corrections\": [], \"source_url\": \"https://www.scrapethissite.com/pages/forms/?page_num=11\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Can you list all hockey team names and their wins\", \"schema\": {\"properties\": {\"team\": {\"description\": \"Can you list all hockey team names and their wins; target attribute: team\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"wins\": {\"description\": \"Can you list all hockey team names and their wins; target attribute: wins\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"team\", \"wins\"], \"type\": \"object\"}, \"site\": \"scrapethissite\", \"source_value_counts\": {\"team\": {\"Atlanta Thrashers\": 1, \"Boston Bruins\": 1, \"Buffalo Sabres\": 1, \"Calgary Flames\": 1, \"Carolina Hurricanes\": 1, \"Chicago Blackhawks\": 1, \"Colorado Avalanche\": 1, \"Columbus Blue Jackets\": 1, \"Dallas Stars\": 1, \"Detroit Red Wings\": 1, \"Edmonton Oilers\": 1, \"Florida Panthers\": 1, \"Los Angeles Kings\": 1, \"Mighty Ducks of Anaheim\": 1, \"Minnesota Wild\": 1, \"Montreal Canadiens\": 1, \"Nashville Predators\": 1, \"New Jersey Devils\": 1, \"New York Islanders\": 1, \"New York Rangers\": 1, \"Ottawa Senators\": 1, \"Philadelphia Flyers\": 1, \"Phoenix Coyotes\": 1, \"Vancouver Canucks\": 1, \"Washington Capitals\": 1}, \"wins\": {\"21\": 1, \"22\": 1, \"23\": 1, \"25\": 2, \"27\": 1, \"28\": 2, \"29\": 1, \"30\": 1, \"33\": 1, \"34\": 1, \"35\": 1, \"36\": 1, \"38\": 2, \"39\": 1, \"43\": 1, \"44\": 1, \"46\": 1, \"48\": 3, \"49\": 1, \"52\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.scrapethissite.com/pages/forms/?page_num=11\", \"value_kinds\": {}, \"values\": {\"team\": [\"Vancouver Canucks\", \"Washington Capitals\", \"Mighty Ducks of Anaheim\", \"Atlanta Thrashers\", \"Boston Bruins\", \"Buffalo Sabres\", \"Calgary Flames\", \"Carolina Hurricanes\", \"Columbus Blue Jackets\", \"Chicago Blackhawks\", \"Colorado Avalanche\", \"Dallas Stars\", \"Detroit Red Wings\", \"Edmonton Oilers\", \"Florida Panthers\", \"Los Angeles Kings\", \"Minnesota Wild\", \"Montreal Canadiens\", \"Nashville Predators\", \"New Jersey Devils\", \"New York Islanders\", \"New York Rangers\", \"Ottawa Senators\", \"Philadelphia Flyers\", \"Phoenix Coyotes\"], \"wins\": [\"30\", \"44\", \"25\", \"23\", \"36\", \"46\", \"27\", \"38\", \"28\", \"29\", \"52\", \"48\", \"49\", \"39\", \"22\", \"34\", \"21\", \"33\", \"43\", \"35\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-8867a65f7508da1620f7", "input": "https://www.thecocktaildb.com/drink/17252-greyhound", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thecocktaildb\", \"id\": \"liveweb-ie-8867a65f7508da1620f7\", \"input\": \"dataset/html/liveweb-ie-8867a65f7508da1620f7.html\", \"input_sha256\": \"3d73d93c41491fca564bef08890e89861b463c56d715582d6b7352865f10584e\", \"original_reference\": {\"ingredient\": [\"1 1/2 oz Vodka\", \"3 oz Grapefruit Juice\"], \"ingredient_image\": [\"../images/ingredients/vodka-medium.png\", \"../images/ingredients/grapefruit juice-medium.png\"], \"ingredient_link\": [\"/ingredient/1-vodka\", \"/ingredient/242-grapefruit-juice\"]}, \"qualification\": {\"input_sha256\": \"3d73d93c41491fca564bef08890e89861b463c56d715582d6b7352865f10584e\", \"observed_at\": \"2026-11-06T10:07:55Z\", \"reference_sha256\": \"2d7dbf645796dcc221952ff24b71335567224ff1687e966a96029cdb0242232f\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thecocktaildb.com/drink/17252-greyhound\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_image\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_link\": {\"description\": \"Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient\", \"ingredient_link\", \"ingredient_image\"], \"type\": \"object\"}, \"site\": \"thecocktaildb\", \"source_value_counts\": {\"ingredient\": {\"1 1/2 oz Vodka\": 1, \"3 oz Grapefruit Juice\": 1}, \"ingredient_image\": {\"../images/ingredients/grapefruit juice-medium.png\": 1, \"../images/ingredients/vodka-medium.png\": 1}, \"ingredient_link\": {\"/ingredient/1-vodka\": 1, \"/ingredient/242-grapefruit-juice\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thecocktaildb.com/drink/17252-greyhound\", \"value_kinds\": {\"ingredient_image\": \"url\", \"ingredient_link\": \"url\"}, \"values\": {\"ingredient\": [\"1 1/2 oz Vodka\", \"3 oz Grapefruit Juice\"], \"ingredient_image\": [\"../images/ingredients/vodka-medium.png\", \"../images/ingredients/grapefruit juice-medium.png\"], \"ingredient_link\": [\"/ingredient/1-vodka\", \"/ingredient/242-grapefruit-juice\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-00ffaed355957bd620ba", "input": "https://www.themealdb.com/meal/52833-salted-caramel-cheescake-recipe", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"themealdb\", \"id\": \"liveweb-ie-00ffaed355957bd620ba\", \"input\": \"dataset/html/liveweb-ie-00ffaed355957bd620ba.html\", \"input_sha256\": \"b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80\", \"original_reference\": {\"ingredient\": [\"250g Digestive Biscuits\", \"75g Pretzels\", \"135g Butter\", \"450g Cream Cheese\", \"1tsp Vanilla Extract\", \"100g  Icing Sugar\", \"150g Caramel\", \"1tsp Sea Salt\", \"300ml  Double Cream\", \"drizzle Caramel Sauce\", \"Top Toffee Popcorn\", \"Top Pretzels\"], \"ingredient_image\": [\"../images/ingredients/Digestive_Biscuits-medium.png\", \"../images/ingredients/Pretzels-medium.png\", \"../images/ingredients/Butter-medium.png\", \"../images/ingredients/Cream_Cheese-medium.png\", \"../images/ingredients/Vanilla_Extract-medium.png\", \"../images/ingredients/Icing_Sugar-medium.png\", \"../images/ingredients/Caramel-medium.png\", \"../images/ingredients/Sea_Salt-medium.png\", \"../images/ingredients/Double_Cream-medium.png\", \"../images/ingredients/Caramel_Sauce-medium.png\", \"../images/ingredients/Toffee_Popcorn-medium.png\", \"../images/ingredients/Pretzels-medium.png\"]}, \"qualification\": {\"input_sha256\": \"b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80\", \"observed_at\": \"2026-11-06T10:07:51Z\", \"reference_sha256\": \"dc63077541640cadb064896b0bbaddcb3e33b5ddfb959ad1c0d34ce8247b4b52\", \"source_supported_corrections\": [{\"accepted\": \"100g Icing Sugar\", \"field\": \"ingredient\", \"original\": \"100g  Icing Sugar\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80\"}, {\"accepted\": \"300ml Double Cream\", \"field\": \"ingredient\", \"original\": \"300ml  Double Cream\", \"reason\": \"whitespace and source-supported HTML entity decoding only\", \"source_sha256\": \"b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80\"}], \"source_url\": \"https://www.themealdb.com/meal/52833-salted-caramel-cheescake-recipe\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Collect the whole list of ingredient names and their images\", \"schema\": {\"properties\": {\"ingredient\": {\"description\": \"Collect the whole list of ingredient names and their images; target attribute: ingredient\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"ingredient_image\": {\"description\": \"Collect the whole list of ingredient names and their images; target attribute: ingredient_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"ingredient\", \"ingredient_image\"], \"type\": \"object\"}, \"site\": \"themealdb\", \"source_value_counts\": {\"ingredient\": {\"100g Icing Sugar\": 1, \"135g Butter\": 1, \"150g Caramel\": 1, \"1tsp Sea Salt\": 1, \"1tsp Vanilla Extract\": 1, \"250g Digestive Biscuits\": 1, \"300ml Double Cream\": 1, \"450g Cream Cheese\": 1, \"75g Pretzels\": 1, \"Top Pretzels\": 1, \"Top Toffee Popcorn\": 1, \"drizzle Caramel Sauce\": 1}, \"ingredient_image\": {\"../images/ingredients/Butter-medium.png\": 1, \"../images/ingredients/Caramel-medium.png\": 1, \"../images/ingredients/Caramel_Sauce-medium.png\": 1, \"../images/ingredients/Cream_Cheese-medium.png\": 1, \"../images/ingredients/Digestive_Biscuits-medium.png\": 1, \"../images/ingredients/Double_Cream-medium.png\": 1, \"../images/ingredients/Icing_Sugar-medium.png\": 1, \"../images/ingredients/Pretzels-medium.png\": 2, \"../images/ingredients/Sea_Salt-medium.png\": 1, \"../images/ingredients/Toffee_Popcorn-medium.png\": 1, \"../images/ingredients/Vanilla_Extract-medium.png\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.themealdb.com/meal/52833-salted-caramel-cheescake-recipe\", \"value_kinds\": {\"ingredient_image\": \"url\"}, \"values\": {\"ingredient\": [\"250g Digestive Biscuits\", \"75g Pretzels\", \"135g Butter\", \"450g Cream Cheese\", \"1tsp Vanilla Extract\", \"100g Icing Sugar\", \"150g Caramel\", \"1tsp Sea Salt\", \"300ml Double Cream\", \"drizzle Caramel Sauce\", \"Top Toffee Popcorn\", \"Top Pretzels\"], \"ingredient_image\": [\"../images/ingredients/Digestive_Biscuits-medium.png\", \"../images/ingredients/Pretzels-medium.png\", \"../images/ingredients/Butter-medium.png\", \"../images/ingredients/Cream_Cheese-medium.png\", \"../images/ingredients/Vanilla_Extract-medium.png\", \"../images/ingredients/Icing_Sugar-medium.png\", \"../images/ingredients/Caramel-medium.png\", \"../images/ingredients/Sea_Salt-medium.png\", \"../images/ingredients/Double_Cream-medium.png\", \"../images/ingredients/Caramel_Sauce-medium.png\", \"../images/ingredients/Toffee_Popcorn-medium.png\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-01b06224e39c1179f25c", "input": "https://www.thesportsdb.com/player/34146689-david-alaba", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"thesportsdb\", \"id\": \"liveweb-ie-01b06224e39c1179f25c\", \"input\": \"dataset/html/liveweb-ie-01b06224e39c1179f25c.html\", \"input_sha256\": \"834df74d93645cd5ea99180ad38e2aa76c5680e7eb835f7c776a61ecddd86e08\", \"original_reference\": {\"profile_link\": [\"/player/34146689-david-alaba\"]}, \"qualification\": {\"input_sha256\": \"834df74d93645cd5ea99180ad38e2aa76c5680e7eb835f7c776a61ecddd86e08\", \"observed_at\": \"2026-11-06T10:07:48Z\", \"reference_sha256\": \"e8b1ad580dc6c43553d00e9427508031ac3ad2e0295dc8f8dad093a7e7d48add\", \"source_supported_corrections\": [], \"source_url\": \"https://www.thesportsdb.com/player/34146689-david-alaba\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Give me the link of the player detail\", \"schema\": {\"properties\": {\"profile_link\": {\"description\": \"Give me the link of the player detail; target attribute: profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"profile_link\"], \"type\": \"object\"}, \"site\": \"thesportsdb\", \"source_value_counts\": {\"profile_link\": {\"/player/34146689-david-alaba\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.thesportsdb.com/player/34146689-david-alaba\", \"value_kinds\": {\"profile_link\": \"url\"}, \"values\": {\"profile_link\": [\"/player/34146689-david-alaba\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-9329ea63f1cce6e44537", "input": "https://arxiv.org/abs/2401.14361", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-9329ea63f1cce6e44537\", \"input\": \"dataset/html/liveweb-ie-9329ea63f1cce6e44537.html\", \"input_sha256\": \"4b11bfc669fa267e316322078f01393a0ec535675c8a6c9d9cd5b35bc1b47d48\", \"original_reference\": {\"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Xue,+L\", \"https://arxiv.org/search/cs?searchtype=author&query=Fu,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Lu,+Z\", \"https://arxiv.org/search/cs?searchtype=author&query=Mai,+L\", \"https://arxiv.org/search/cs?searchtype=author&query=Marina,+M\"]}, \"qualification\": {\"input_sha256\": \"4b11bfc669fa267e316322078f01393a0ec535675c8a6c9d9cd5b35bc1b47d48\", \"observed_at\": \"2026-11-06T10:07:06Z\", \"reference_sha256\": \"42ec165c322bb42be391a334bd8180f9443b988aff6f5d25e15552ff3e144c3c\", \"source_supported_corrections\": [], \"source_url\": \"https://arxiv.org/abs/2401.14361\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch the set of URLs that point to detailed author information\", \"schema\": {\"properties\": {\"author_profile_link\": {\"description\": \"Fetch the set of URLs that point to detailed author information; target attribute: author_profile_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"author_profile_link\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"author_profile_link\": {\"https://arxiv.org/search/cs?searchtype=author&query=Fu,+Y\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Lu,+Z\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Mai,+L\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Marina,+M\": 1, \"https://arxiv.org/search/cs?searchtype=author&query=Xue,+L\": 1}}, \"unscored_fields\": {}, \"url\": \"https://arxiv.org/abs/2401.14361\", \"value_kinds\": {\"author_profile_link\": \"url\"}, \"values\": {\"author_profile_link\": [\"https://arxiv.org/search/cs?searchtype=author&query=Xue,+L\", \"https://arxiv.org/search/cs?searchtype=author&query=Fu,+Y\", \"https://arxiv.org/search/cs?searchtype=author&query=Lu,+Z\", \"https://arxiv.org/search/cs?searchtype=author&query=Mai,+L\", \"https://arxiv.org/search/cs?searchtype=author&query=Marina,+M\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-9de4d75a839d06f9f34e", "input": "https://books.toscrape.com/catalogue/page-4.html", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"booktoscrape\", \"id\": \"liveweb-ie-9de4d75a839d06f9f34e\", \"input\": \"dataset/html/liveweb-ie-9de4d75a839d06f9f34e.html\", \"input_sha256\": \"2061aa106e22337d5a94a5316b912b963ee4f9a3237a8747e24c7631e5c09a27\", \"original_reference\": {\"book_image\": [\"../media/cache/f4/79/f479de5f305c2ac0512702cf7155bb74.jpg\", \"../media/cache/dc/44/dc44f8e2aebac48ca8553814d9b021a8.jpg\", \"../media/cache/d4/8d/d48d5122a15347e9fe2b15ad354d69bf.jpg\", \"../media/cache/f8/6d/f86d08178e3788563ac17be5aefd29f0.jpg\", \"../media/cache/95/64/95647d6a526bf54120b9445e124794e1.jpg\", \"../media/cache/75/dc/75dce2f5949b407161f37f0af249b018.jpg\", \"../media/cache/64/15/641570cd7e7aded53c7d33d78a9629f1.jpg\", \"../media/cache/2e/23/2e236e23ad52aa74505f224f6552eda8.jpg\", \"../media/cache/71/df/71df730cf38c232ee58a2e407135f055.jpg\", \"../media/cache/ee/3e/ee3e219d23e73ba71c79b700f183aaed.jpg\", \"../media/cache/70/fa/70fa6c0437d9c97dbeada6bd32bf9d2c.jpg\", \"../media/cache/2d/4e/2d4e358712e6c9f1d3bdd78d1a16e5a8.jpg\", \"../media/cache/96/db/96db61bb53930c560fb4c1c62b583816.jpg\", \"../media/cache/f3/4f/f34ffb24cc21c9f9f52dad4fd8f3ac21.jpg\", \"../media/cache/69/85/69852567cf97264a1442cbc882c84903.jpg\", \"../media/cache/da/df/dadfac66a89774b46b10225362724c83.jpg\", \"../media/cache/43/ae/43aee83ebb31e2122a7215e413770e5c.jpg\", \"../media/cache/e1/ea/e1ea6cb36e62ae6dc7b805f68ab9a700.jpg\", \"../media/cache/97/f8/97f8debeeaaece9603267653076e760f.jpg\", \"../media/cache/f3/ef/f3efd43ae0fa85d9b325d5e8783e7af5.jpg\"], \"price\": [\"£38.16\", \"£54.11\", \"£42.96\", \"£23.89\", \"£16.77\", \"£20.59\", \"£37.13\", \"£56.06\", \"£58.11\", \"£49.05\", \"£40.76\", \"£19.73\", \"£32.24\", \"£41.83\", \"£39.58\", \"£39.25\", \"£25.02\", \"£51.04\", \"£19.83\", \"£50.40\"]}, \"qualification\": {\"input_sha256\": \"2061aa106e22337d5a94a5316b912b963ee4f9a3237a8747e24c7631e5c09a27\", \"observed_at\": \"2026-11-06T10:08:16Z\", \"reference_sha256\": \"d346c1c9fa7d5f646250a3892d20ab7b55a8b0efb6da7973b1bf79cc5001d210\", \"source_supported_corrections\": [], \"source_url\": \"https://books.toscrape.com/catalogue/page-4.html\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Fetch every book's pricing and their corresponding product images.\", \"schema\": {\"properties\": {\"book_image\": {\"description\": \"Fetch every book's pricing and their corresponding product images.; target attribute: book_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"price\": {\"description\": \"Fetch every book's pricing and their corresponding product images.; target attribute: price\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"price\", \"book_image\"], \"type\": \"object\"}, \"site\": \"booktoscrape\", \"source_value_counts\": {\"book_image\": {\"../media/cache/2d/4e/2d4e358712e6c9f1d3bdd78d1a16e5a8.jpg\": 1, \"../media/cache/2e/23/2e236e23ad52aa74505f224f6552eda8.jpg\": 1, \"../media/cache/43/ae/43aee83ebb31e2122a7215e413770e5c.jpg\": 1, \"../media/cache/64/15/641570cd7e7aded53c7d33d78a9629f1.jpg\": 1, \"../media/cache/69/85/69852567cf97264a1442cbc882c84903.jpg\": 1, \"../media/cache/70/fa/70fa6c0437d9c97dbeada6bd32bf9d2c.jpg\": 1, \"../media/cache/71/df/71df730cf38c232ee58a2e407135f055.jpg\": 1, \"../media/cache/75/dc/75dce2f5949b407161f37f0af249b018.jpg\": 1, \"../media/cache/95/64/95647d6a526bf54120b9445e124794e1.jpg\": 1, \"../media/cache/96/db/96db61bb53930c560fb4c1c62b583816.jpg\": 1, \"../media/cache/97/f8/97f8debeeaaece9603267653076e760f.jpg\": 1, \"../media/cache/d4/8d/d48d5122a15347e9fe2b15ad354d69bf.jpg\": 1, \"../media/cache/da/df/dadfac66a89774b46b10225362724c83.jpg\": 1, \"../media/cache/dc/44/dc44f8e2aebac48ca8553814d9b021a8.jpg\": 1, \"../media/cache/e1/ea/e1ea6cb36e62ae6dc7b805f68ab9a700.jpg\": 1, \"../media/cache/ee/3e/ee3e219d23e73ba71c79b700f183aaed.jpg\": 1, \"../media/cache/f3/4f/f34ffb24cc21c9f9f52dad4fd8f3ac21.jpg\": 1, \"../media/cache/f3/ef/f3efd43ae0fa85d9b325d5e8783e7af5.jpg\": 1, \"../media/cache/f4/79/f479de5f305c2ac0512702cf7155bb74.jpg\": 1, \"../media/cache/f8/6d/f86d08178e3788563ac17be5aefd29f0.jpg\": 1}, \"price\": {\"£16.77\": 1, \"£19.73\": 1, \"£19.83\": 1, \"£20.59\": 1, \"£23.89\": 1, \"£25.02\": 1, \"£32.24\": 1, \"£37.13\": 1, \"£38.16\": 1, \"£39.25\": 1, \"£39.58\": 1, \"£40.76\": 1, \"£41.83\": 1, \"£42.96\": 1, \"£49.05\": 1, \"£50.40\": 1, \"£51.04\": 1, \"£54.11\": 1, \"£56.06\": 1, \"£58.11\": 1}}, \"unscored_fields\": {}, \"url\": \"https://books.toscrape.com/catalogue/page-4.html\", \"value_kinds\": {\"book_image\": \"url\"}, \"values\": {\"book_image\": [\"../media/cache/f4/79/f479de5f305c2ac0512702cf7155bb74.jpg\", \"../media/cache/dc/44/dc44f8e2aebac48ca8553814d9b021a8.jpg\", \"../media/cache/d4/8d/d48d5122a15347e9fe2b15ad354d69bf.jpg\", \"../media/cache/f8/6d/f86d08178e3788563ac17be5aefd29f0.jpg\", \"../media/cache/95/64/95647d6a526bf54120b9445e124794e1.jpg\", \"../media/cache/75/dc/75dce2f5949b407161f37f0af249b018.jpg\", \"../media/cache/64/15/641570cd7e7aded53c7d33d78a9629f1.jpg\", \"../media/cache/2e/23/2e236e23ad52aa74505f224f6552eda8.jpg\", \"../media/cache/71/df/71df730cf38c232ee58a2e407135f055.jpg\", \"../media/cache/ee/3e/ee3e219d23e73ba71c79b700f183aaed.jpg\", \"../media/cache/70/fa/70fa6c0437d9c97dbeada6bd32bf9d2c.jpg\", \"../media/cache/2d/4e/2d4e358712e6c9f1d3bdd78d1a16e5a8.jpg\", \"../media/cache/96/db/96db61bb53930c560fb4c1c62b583816.jpg\", \"../media/cache/f3/4f/f34ffb24cc21c9f9f52dad4fd8f3ac21.jpg\", \"../media/cache/69/85/69852567cf97264a1442cbc882c84903.jpg\", \"../media/cache/da/df/dadfac66a89774b46b10225362724c83.jpg\", \"../media/cache/43/ae/43aee83ebb31e2122a7215e413770e5c.jpg\", \"../media/cache/e1/ea/e1ea6cb36e62ae6dc7b805f68ab9a700.jpg\", \"../media/cache/97/f8/97f8debeeaaece9603267653076e760f.jpg\", \"../media/cache/f3/ef/f3efd43ae0fa85d9b325d5e8783e7af5.jpg\"], \"price\": [\"£38.16\", \"£54.11\", \"£42.96\", \"£23.89\", \"£16.77\", \"£20.59\", \"£37.13\", \"£56.06\", \"£58.11\", \"£49.05\", \"£40.76\", \"£19.73\", \"£32.24\", \"£41.83\", \"£39.58\", \"£39.25\", \"£25.02\", \"£51.04\", \"£19.83\", \"£50.40\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-dc0974897f01af4e210b", "input": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47291", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"fueleconomy\", \"id\": \"liveweb-ie-dc0974897f01af4e210b\", \"input\": \"dataset/html/liveweb-ie-dc0974897f01af4e210b.html\", \"input_sha256\": \"f255e9a37d13d1ed6b5426ecab2aa1fe23a7cdd60911e118efd158390b529373\", \"original_reference\": {\"vehicle\": [\"2024 Porsche 911 Carrera Cabriolet\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_Cabrio.jpg\"]}, \"qualification\": {\"input_sha256\": \"f255e9a37d13d1ed6b5426ecab2aa1fe23a7cdd60911e118efd158390b529373\", \"observed_at\": \"2026-11-06T10:07:43Z\", \"reference_sha256\": \"8f7423d34a63b9e5e2c255864de00a4c23e0260f0f4f4276870a856377491cb5\", \"source_supported_corrections\": [], \"source_url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47291\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the car name and its image from the page.\", \"schema\": {\"properties\": {\"vehicle\": {\"description\": \"Extract the car name and its image from the page.; target attribute: vehicle\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"vehicle_image\": {\"description\": \"Extract the car name and its image from the page.; target attribute: vehicle_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"vehicle_image\", \"vehicle\"], \"type\": \"object\"}, \"site\": \"fueleconomy\", \"source_value_counts\": {\"vehicle\": {\"2024 Porsche 911 Carrera Cabriolet\": 1}, \"vehicle_image\": {\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_Cabrio.jpg\": 1}}, \"unscored_fields\": {}, \"url\": \"https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47291\", \"value_kinds\": {\"vehicle_image\": \"url\"}, \"values\": {\"vehicle\": [\"2024 Porsche 911 Carrera Cabriolet\"], \"vehicle_image\": [\"https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_Cabrio.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-74e38ac70566794dbcf3", "input": "https://huggingface.co/papers/date/2024-07-16", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"huggingface\", \"id\": \"liveweb-ie-74e38ac70566794dbcf3\", \"input\": \"dataset/html/liveweb-ie-74e38ac70566794dbcf3.html\", \"input_sha256\": \"4139b8b90c13c7ee80027230fdbe397b65b0da00d8f631548358b1f9f8a64310\", \"original_reference\": {\"publish_date\": [\"Jul 16\"]}, \"qualification\": {\"input_sha256\": \"4139b8b90c13c7ee80027230fdbe397b65b0da00d8f631548358b1f9f8a64310\", \"observed_at\": \"2026-11-06T10:07:38Z\", \"reference_sha256\": \"fcf5132b8e1ee02ac64f861b7205b5ccb52a67a329998ee1cdcf3d3295977147\", \"source_supported_corrections\": [], \"source_url\": \"https://huggingface.co/papers/date/2024-07-16\", \"source_validation_sha256\": \"a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb\"}, \"query\": \"Extract the date when these papers were added\", \"schema\": {\"properties\": {\"publish_date\": {\"description\": \"Extract the date when these papers were added; target attribute: publish_date\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"publish_date\"], \"type\": \"object\"}, \"site\": \"huggingface\", \"source_value_counts\": {\"publish_date\": {\"Jul 16\": 1}}, \"unscored_fields\": {}, \"url\": \"https://huggingface.co/papers/date/2024-07-16\", \"value_kinds\": {}, \"values\": {\"publish_date\": [\"Jul 16\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-6f13d5ffc1c83576e59b", "input": "https://dp.la/exhibitions/breadandroses", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-6f13d5ffc1c83576e59b\", \"input\": \"dataset/html/liveweb-ie-6f13d5ffc1c83576e59b.html\", \"input_sha256\": \"e05e71f4f5e8a0601f3fe734a9956dfd968e5289bdcdafae5ea98f8a9f0fa7b6\", \"original_reference\": {\"title\": [\"Bread and Roses Strike of 1912: Two Months in Lawrence, Massachusetts, that Changed Labor History\"]}, \"qualification\": {\"input_sha256\": \"e05e71f4f5e8a0601f3fe734a9956dfd968e5289bdcdafae5ea98f8a9f0fa7b6\", \"observed_at\": \"2026-11-06T10:08:00Z\", \"reference_sha256\": \"c9b5c01e87e03b265e072d6167aa00563a4dc7d8284b4a4e70e30b11c84c758c\", \"source_url\": \"https://dp.la/exhibitions/breadandroses\"}, \"query\": \"Extract the title of the article\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title of the article; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"title\": {\"Bread and Roses Strike of 1912: Two Months in Lawrence, Massachusetts, that Changed Labor History\": 1}}, \"url\": \"https://dp.la/exhibitions/breadandroses\", \"value_kinds\": {}, \"values\": {\"title\": [\"Bread and Roses Strike of 1912: Two Months in Lawrence, Massachusetts, that Changed Labor History\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-4b8879b89b1433a8fc81", "input": "https://dp.la/browse-by-topic/photography", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-4b8879b89b1433a8fc81\", \"input\": \"dataset/html/liveweb-ie-4b8879b89b1433a8fc81.html\", \"input_sha256\": \"235fafc0554771b1903c12031ba6ef9fc05ad75013d90d398acadc9cbf86d474\", \"original_reference\": {\"topic\": [\"The Development of Photography\", \"Portraiture\", \"Documentary Photography\", \"Landscapes, Wildlife, and the Built Environment\", \"Art Photography\", \"Photography in Science and Technology\", \"Personal Cameras, Citizen Photographers\"]}, \"qualification\": {\"input_sha256\": \"235fafc0554771b1903c12031ba6ef9fc05ad75013d90d398acadc9cbf86d474\", \"observed_at\": \"2026-11-06T10:08:00Z\", \"reference_sha256\": \"4b901254adc78f7b3374cfce502849570210769e8691786f1193bf4f471ddd96\", \"source_url\": \"https://dp.la/browse-by-topic/photography\"}, \"query\": \"Please extract all sub topic titles\", \"schema\": {\"properties\": {\"topic\": {\"description\": \"Please extract all sub topic titles; target attribute: topic\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"topic\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"topic\": {\"Art Photography\": 1, \"Documentary Photography\": 1, \"Landscapes, Wildlife, and the Built Environment\": 1, \"Personal Cameras, Citizen Photographers\": 1, \"Photography in Science and Technology\": 1, \"Portraiture\": 1, \"The Development of Photography\": 1}}, \"url\": \"https://dp.la/browse-by-topic/photography\", \"value_kinds\": {}, \"values\": {\"topic\": [\"The Development of Photography\", \"Portraiture\", \"Documentary Photography\", \"Landscapes, Wildlife, and the Built Environment\", \"Art Photography\", \"Photography in Science and Technology\", \"Personal Cameras, Citizen Photographers\"]}}"}
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{"family": "structured-field-extraction", "id": "liveweb-ie-a81276bf3139ca2dc6e7", "input": "https://arxiv.org/list/cs.FL/2024-01", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"arxiv\", \"id\": \"liveweb-ie-a81276bf3139ca2dc6e7\", \"input\": \"dataset/html/liveweb-ie-a81276bf3139ca2dc6e7.html\", \"input_sha256\": \"e7f096d9afd770beb89b3603b0087edaef6a7f881dffe1616b670e4a49603f5c\", \"original_reference\": {\"subject\": [\"Formal Languages and Automata Theory\"]}, \"qualification\": {\"input_sha256\": \"e7f096d9afd770beb89b3603b0087edaef6a7f881dffe1616b670e4a49603f5c\", \"observed_at\": \"2026-11-06T10:07:05Z\", \"reference_sha256\": \"c752a1ba4a898d6e7dece19cdd48b8a0b586d0ac89c9a7cc971b522d1e0474bc\", \"source_url\": \"https://arxiv.org/list/cs.FL/2024-01\"}, \"query\": \"I'd like to know the subject of all the papers\", \"schema\": {\"properties\": {\"subject\": {\"description\": \"I'd like to know the subject of all the papers; target attribute: subject\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"subject\"], \"type\": \"object\"}, \"site\": \"arxiv\", \"source_value_counts\": {\"subject\": {\"Formal Languages and Automata Theory\": 1}}, \"url\": \"https://arxiv.org/list/cs.FL/2024-01\", \"value_kinds\": {}, \"values\": {\"subject\": [\"Formal Languages and Automata Theory\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-aef0401e683846275614", "input": "https://dp.la/exhibitions/erie-canal", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-aef0401e683846275614\", \"input\": \"dataset/html/liveweb-ie-aef0401e683846275614.html\", \"input_sha256\": \"3a030c06a90337bad7cf04af39485beb376f904ed3c9e6ed5761f43e5db0d6f0\", \"original_reference\": {\"exhibition_link\": [\"/exhibitions/erie-canal/why-new-york\"]}, \"qualification\": {\"input_sha256\": \"3a030c06a90337bad7cf04af39485beb376f904ed3c9e6ed5761f43e5db0d6f0\", \"observed_at\": \"2026-11-06T10:08:01Z\", \"reference_sha256\": \"b8dec89bb6afdf8121778f68ee715de6c29cded9110b0441d6b61434673c591a\", \"source_url\": \"https://dp.la/exhibitions/erie-canal\"}, \"query\": \"Which link in the article serves as the exhibition reference?\", \"schema\": {\"properties\": {\"exhibition_link\": {\"description\": \"Which link in the article serves as the exhibition reference?; target attribute: exhibition_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"exhibition_link\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"exhibition_link\": {\"/exhibitions/erie-canal/why-new-york\": 1}}, \"url\": \"https://dp.la/exhibitions/erie-canal\", \"value_kinds\": {\"exhibition_link\": \"url\"}, \"values\": {\"exhibition_link\": [\"/exhibitions/erie-canal/why-new-york\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-86369ee81229c837586e", "input": "https://dp.la/browse-by-topic/american-civil-war", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-86369ee81229c837586e\", \"input\": \"dataset/html/liveweb-ie-86369ee81229c837586e.html\", \"input_sha256\": \"ca24007f0d09c5810b6ec73890b588837310cee80814a2e799b3a72aefcdd92e\", \"original_reference\": {\"topic\": [\"Politics of the Union\", \"Creating the Confederacy\", \"Enlisting Armies\", \"Military Service\", \"African American Lives\", \"Battles\", \"The War at Home\", \"Remembering the Civil War\"], \"topic_link\": [\"/browse-by-topic/american-civil-war/politics-of-the-union\", \"/browse-by-topic/american-civil-war/creating-the-confederacy\", \"/browse-by-topic/american-civil-war/enlisting-armies\", \"/browse-by-topic/american-civil-war/military-service\", \"/browse-by-topic/american-civil-war/african-american-lives\", \"/browse-by-topic/american-civil-war/battles\", \"/browse-by-topic/american-civil-war/the-war-at-home\", \"/browse-by-topic/american-civil-war/remembering-the-civil-war\"]}, \"qualification\": {\"input_sha256\": \"ca24007f0d09c5810b6ec73890b588837310cee80814a2e799b3a72aefcdd92e\", \"observed_at\": \"2026-11-06T10:08:01Z\", \"reference_sha256\": \"94a4f22a737c920191b7db9f77f0980491ae346a3121cccc088a3d4f9d0e47ea\", \"source_url\": \"https://dp.la/browse-by-topic/american-civil-war\"}, \"query\": \"Please extract all sub topic titles and links\", \"schema\": {\"properties\": {\"topic\": {\"description\": \"Please extract all sub topic titles and links; target attribute: topic\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"topic_link\": {\"description\": \"Please extract all sub topic titles and links; target attribute: topic_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"topic\", \"topic_link\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"topic\": {\"African American Lives\": 1, \"Battles\": 1, \"Creating the Confederacy\": 1, \"Enlisting Armies\": 1, \"Military Service\": 1, \"Politics of the Union\": 1, \"Remembering the Civil War\": 1, \"The War at Home\": 1}, \"topic_link\": {\"/browse-by-topic/american-civil-war/african-american-lives\": 1, \"/browse-by-topic/american-civil-war/battles\": 1, \"/browse-by-topic/american-civil-war/creating-the-confederacy\": 1, \"/browse-by-topic/american-civil-war/enlisting-armies\": 1, \"/browse-by-topic/american-civil-war/military-service\": 1, \"/browse-by-topic/american-civil-war/politics-of-the-union\": 1, \"/browse-by-topic/american-civil-war/remembering-the-civil-war\": 1, \"/browse-by-topic/american-civil-war/the-war-at-home\": 1}}, \"url\": \"https://dp.la/browse-by-topic/american-civil-war\", \"value_kinds\": {\"topic_link\": \"url\"}, \"values\": {\"topic\": [\"Politics of the Union\", \"Creating the Confederacy\", \"Enlisting Armies\", \"Military Service\", \"African American Lives\", \"Battles\", \"The War at Home\", \"Remembering the Civil War\"], \"topic_link\": [\"/browse-by-topic/american-civil-war/politics-of-the-union\", \"/browse-by-topic/american-civil-war/creating-the-confederacy\", \"/browse-by-topic/american-civil-war/enlisting-armies\", \"/browse-by-topic/american-civil-war/military-service\", \"/browse-by-topic/american-civil-war/african-american-lives\", \"/browse-by-topic/american-civil-war/battles\", \"/browse-by-topic/american-civil-war/the-war-at-home\", \"/browse-by-topic/american-civil-war/remembering-the-civil-war\"]}}"}
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\"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_05_076c94e4403d301fa4e0a949a34812ff_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_06_94965de550e24dfff0251d273a82ffb7_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_07_8caba62b34f3acfb24f7a49c85656d0e_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_08_4c40c2e74b103c69a158279d63d473a7_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_09_a2934675d1315e697c8e5de3c2c7b0cd_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_10_1752c32add4bd19d020d7909916b0923_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_11_7683bc80b832bbceb16a1d6017ffc7e0_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_12_0c8bbcbcd2cfbfd6a693a5278950fd34_thumb.jpg\"], \"source_link\": [\"/primary-source-sets/henry-clay-the-great-compromiser/sources/512\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/513\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/514\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/515\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/516\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/517\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/518\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/519\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/520\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/521\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/522\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/523\"]}, \"qualification\": {\"input_sha256\": \"9e41082e53672b1593531660edc1c898af092f626752858fd7ee5a8cbe74ddd9\", \"observed_at\": \"2026-11-06T10:08:01Z\", \"reference_sha256\": \"149f01728477dd28fe63a2ded8896c72d33667fd73f95f49f8e0fbbebd101aa0\", \"source_url\": \"https://dp.la/primary-source-sets/henry-clay-the-great-compromiser\"}, \"query\": \"Retrieve the full set of source images and their corresponding links for this collection.\", \"schema\": {\"properties\": {\"source_image\": {\"description\": \"Retrieve the full set of source images and their corresponding links for this collection.; target attribute: source_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"source_link\": {\"description\": \"Retrieve the full set of source images and their corresponding links for this collection.; target attribute: source_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"source_image\", \"source_link\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"source_image\": 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\"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_09_a2934675d1315e697c8e5de3c2c7b0cd_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_10_1752c32add4bd19d020d7909916b0923_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_11_7683bc80b832bbceb16a1d6017ffc7e0_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_12_0c8bbcbcd2cfbfd6a693a5278950fd34_thumb.jpg\": 1}, \"source_link\": {\"/primary-source-sets/henry-clay-the-great-compromiser/sources/512\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/513\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/514\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/515\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/516\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/517\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/518\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/519\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/520\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/521\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/522\": 1, \"/primary-source-sets/henry-clay-the-great-compromiser/sources/523\": 1}}, \"url\": \"https://dp.la/primary-source-sets/henry-clay-the-great-compromiser\", \"value_kinds\": {\"source_image\": \"url\", \"source_link\": \"url\"}, \"values\": {\"source_image\": [\"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_01_8f750ed40bf1db08410957142e70d37c_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_02_04d7d9809c0726bb4a947bb6cb912bf9_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_03a_be6383e0200fa2156ed7ae3acfbdd747_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_04_17966231a882eb4bf38cc07b5ea42e5d_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_05_076c94e4403d301fa4e0a949a34812ff_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_06_94965de550e24dfff0251d273a82ffb7_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_07_8caba62b34f3acfb24f7a49c85656d0e_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_08_4c40c2e74b103c69a158279d63d473a7_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_09_a2934675d1315e697c8e5de3c2c7b0cd_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_10_1752c32add4bd19d020d7909916b0923_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_11_7683bc80b832bbceb16a1d6017ffc7e0_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/henry-clay-great-compromiser_12_0c8bbcbcd2cfbfd6a693a5278950fd34_thumb.jpg\"], \"source_link\": [\"/primary-source-sets/henry-clay-the-great-compromiser/sources/512\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/513\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/514\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/515\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/516\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/517\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/518\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/519\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/520\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/521\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/522\", \"/primary-source-sets/henry-clay-the-great-compromiser/sources/523\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-3c87b91db801b57d9d33", "input": "https://dp.la/exhibitions/shoe-industry-massachusetts", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-3c87b91db801b57d9d33\", \"input\": \"dataset/html/liveweb-ie-3c87b91db801b57d9d33.html\", \"input_sha256\": \"d33c90b0dda0871f6fd8131eb4cbb6d2a3e751e9198e88d7ba7235d858df2ecb\", \"original_reference\": {\"title\": [\"Best Foot Forward: The Shoe Industry in Massachusetts\"]}, \"qualification\": {\"input_sha256\": \"d33c90b0dda0871f6fd8131eb4cbb6d2a3e751e9198e88d7ba7235d858df2ecb\", \"observed_at\": \"2026-11-06T10:08:01Z\", \"reference_sha256\": \"e2249ebbda41ec456b8957b9f6656baf15209340971887f29d41d213fb78bcc8\", \"source_url\": \"https://dp.la/exhibitions/shoe-industry-massachusetts\"}, \"query\": \"Extract the title of the article\", \"schema\": {\"properties\": {\"title\": {\"description\": \"Extract the title of the article; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"title\": {\"Best Foot Forward: The Shoe Industry in Massachusetts\": 1}}, \"url\": \"https://dp.la/exhibitions/shoe-industry-massachusetts\", \"value_kinds\": {}, \"values\": {\"title\": [\"Best Foot Forward: The Shoe Industry in Massachusetts\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-affcb220e0ab3bcdb673", "input": "https://dp.la/browse-by-topic/food", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-affcb220e0ab3bcdb673\", \"input\": \"dataset/html/liveweb-ie-affcb220e0ab3bcdb673.html\", \"input_sha256\": \"f9abdf291ed146dfe53afe4f9fe288c4926c57e358f2247311392be6e9877983\", \"original_reference\": {\"topic\": [\"Farm and Factory\", \"Cooking at Home\", \"Markets\", \"Dining out\", \"Food in Wartime\", \"Food and Social Justice\"]}, \"qualification\": {\"input_sha256\": \"f9abdf291ed146dfe53afe4f9fe288c4926c57e358f2247311392be6e9877983\", \"observed_at\": \"2026-11-06T10:08:03Z\", \"reference_sha256\": \"fd52d8d55eea51cdeddd465bc7fbd91e4e9ca7a7337fb8923f31e25df8cff6f5\", \"source_url\": \"https://dp.la/browse-by-topic/food\"}, \"query\": \"Please extract all sub topic titles\", \"schema\": {\"properties\": {\"topic\": {\"description\": \"Please extract all sub topic titles; target attribute: topic\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"topic\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"topic\": {\"Cooking at Home\": 1, \"Dining out\": 1, \"Farm and Factory\": 1, \"Food and Social Justice\": 1, \"Food in Wartime\": 1, \"Markets\": 1}}, \"url\": \"https://dp.la/browse-by-topic/food\", \"value_kinds\": {}, \"values\": {\"topic\": [\"Farm and Factory\", \"Cooking at Home\", \"Markets\", \"Dining out\", \"Food in Wartime\", \"Food and Social Justice\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-68efd9c30de6ba26d397", "input": "https://dp.la/primary-source-sets/cross-cultural-colonial-conflicts", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-68efd9c30de6ba26d397\", \"input\": \"dataset/html/liveweb-ie-68efd9c30de6ba26d397.html\", \"input_sha256\": \"57d355229a213eeb0d97ee887ef3394f08045495d3ecc8c933e39aca2cb493f5\", \"original_reference\": {\"collection\": [\"Cross-Cultural Colonial Conflicts\"]}, \"qualification\": {\"input_sha256\": \"57d355229a213eeb0d97ee887ef3394f08045495d3ecc8c933e39aca2cb493f5\", \"observed_at\": \"2026-11-06T10:08:02Z\", \"reference_sha256\": \"910d6ee06f04a806d78a2fc42bcebd1c6a057e3c4a995f5e4e0edec66f873f78\", \"source_url\": \"https://dp.la/primary-source-sets/cross-cultural-colonial-conflicts\"}, \"query\": \"Which title belongs to this collection?\", \"schema\": {\"properties\": {\"collection\": {\"description\": \"Which title belongs to this collection?; target attribute: collection\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"collection\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"collection\": {\"Cross-Cultural Colonial Conflicts\": 1}}, \"url\": \"https://dp.la/primary-source-sets/cross-cultural-colonial-conflicts\", \"value_kinds\": {}, \"values\": {\"collection\": [\"Cross-Cultural Colonial Conflicts\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-4cb74b4667bb77f0b904", "input": "https://dp.la/exhibitions/1918-influenza", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-4cb74b4667bb77f0b904\", \"input\": \"dataset/html/liveweb-ie-4cb74b4667bb77f0b904.html\", \"input_sha256\": \"30b23c67b6c2d9b1f4d94aa23fa6fac6a04026542d7abc8fab2b35015e1f20f6\", \"original_reference\": {\"exhibition_link\": [\"/exhibitions/1918-influenza/flu-strikes\"], \"title\": [\"America during the 1918 Influenza Pandemic\"]}, \"qualification\": {\"input_sha256\": \"30b23c67b6c2d9b1f4d94aa23fa6fac6a04026542d7abc8fab2b35015e1f20f6\", \"observed_at\": \"2026-11-06T10:08:01Z\", \"reference_sha256\": \"a5f5117a4adbd4a4b554350bf350c3485b0e78834e58aff2c1a215db15b1fbb9\", \"source_url\": \"https://dp.la/exhibitions/1918-influenza\"}, \"query\": \"Extract the title and exhibition link of the article\", \"schema\": {\"properties\": {\"exhibition_link\": {\"description\": \"Extract the title and exhibition link of the article; target attribute: exhibition_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Extract the title and exhibition link of the article; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"exhibition_link\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"exhibition_link\": {\"/exhibitions/1918-influenza/flu-strikes\": 1}, \"title\": {\"America during the 1918 Influenza Pandemic\": 1}}, \"url\": \"https://dp.la/exhibitions/1918-influenza\", \"value_kinds\": {\"exhibition_link\": \"url\"}, \"values\": {\"exhibition_link\": [\"/exhibitions/1918-influenza/flu-strikes\"], \"title\": [\"America during the 1918 Influenza Pandemic\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-bd04c8b23b2010c70b0b", "input": "https://dp.la/browse-by-topic/immigration-since-1840", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-bd04c8b23b2010c70b0b\", \"input\": \"dataset/html/liveweb-ie-bd04c8b23b2010c70b0b.html\", \"input_sha256\": \"274752237e9a51c9899554842a4cfcad7c52a2e5a88c58e6fa28d0d787b4d6dc\", \"original_reference\": {\"topic\": [\"Coming to America\", \"From East and West, 1840-1870\", \"Through Ellis Island and Angel Island, 1870-1920\", \"Becoming an American\", \"Discrimination and Reform\", \"Immigration Quotas, 1920-1939\", \"Laborers, Aliens, and Refugees, 1940-1965\", \"Immigration since 1965\"], \"topic_link\": [\"/browse-by-topic/immigration-since-1840/coming-to-america\", \"/browse-by-topic/immigration-since-1840/from-east-and-west-1840-1870\", \"/browse-by-topic/immigration-since-1840/through-ellis-island-and-angel-island-1870-1920\", \"/browse-by-topic/immigration-since-1840/becoming-an-american\", \"/browse-by-topic/immigration-since-1840/discrimination-and-reform\", \"/browse-by-topic/immigration-since-1840/immigration-quotas-1920-1939\", \"/browse-by-topic/immigration-since-1840/laborers-aliens-refugees-1940-1965\", \"/browse-by-topic/immigration-since-1840/immigration-since-1965\"]}, \"qualification\": {\"input_sha256\": \"274752237e9a51c9899554842a4cfcad7c52a2e5a88c58e6fa28d0d787b4d6dc\", \"observed_at\": \"2026-11-06T10:08:03Z\", \"reference_sha256\": \"a1103805349c5f805b1ea7aa6e3e03323b16d127cd1c9b6d04aba46ec1635265\", \"source_url\": \"https://dp.la/browse-by-topic/immigration-since-1840\"}, \"query\": \"Please extract all sub topic titles and links\", \"schema\": {\"properties\": {\"topic\": {\"description\": \"Please extract all sub topic titles and links; target attribute: topic\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"topic_link\": {\"description\": \"Please extract all sub topic titles and links; target attribute: topic_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"topic\", \"topic_link\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"topic\": {\"Becoming an American\": 1, \"Coming to America\": 1, \"Discrimination and Reform\": 1, \"From East and West, 1840-1870\": 1, \"Immigration Quotas, 1920-1939\": 1, \"Immigration since 1965\": 1, \"Laborers, Aliens, and Refugees, 1940-1965\": 1, \"Through Ellis Island and Angel Island, 1870-1920\": 1}, \"topic_link\": {\"/browse-by-topic/immigration-since-1840/becoming-an-american\": 1, \"/browse-by-topic/immigration-since-1840/coming-to-america\": 1, \"/browse-by-topic/immigration-since-1840/discrimination-and-reform\": 1, \"/browse-by-topic/immigration-since-1840/from-east-and-west-1840-1870\": 1, \"/browse-by-topic/immigration-since-1840/immigration-quotas-1920-1939\": 1, \"/browse-by-topic/immigration-since-1840/immigration-since-1965\": 1, \"/browse-by-topic/immigration-since-1840/laborers-aliens-refugees-1940-1965\": 1, \"/browse-by-topic/immigration-since-1840/through-ellis-island-and-angel-island-1870-1920\": 1}}, \"url\": \"https://dp.la/browse-by-topic/immigration-since-1840\", \"value_kinds\": {\"topic_link\": \"url\"}, \"values\": {\"topic\": [\"Coming to America\", \"From East and West, 1840-1870\", \"Through Ellis Island and Angel Island, 1870-1920\", \"Becoming an American\", \"Discrimination and Reform\", \"Immigration Quotas, 1920-1939\", \"Laborers, Aliens, and Refugees, 1940-1965\", \"Immigration since 1965\"], \"topic_link\": [\"/browse-by-topic/immigration-since-1840/coming-to-america\", \"/browse-by-topic/immigration-since-1840/from-east-and-west-1840-1870\", \"/browse-by-topic/immigration-since-1840/through-ellis-island-and-angel-island-1870-1920\", \"/browse-by-topic/immigration-since-1840/becoming-an-american\", \"/browse-by-topic/immigration-since-1840/discrimination-and-reform\", \"/browse-by-topic/immigration-since-1840/immigration-quotas-1920-1939\", \"/browse-by-topic/immigration-since-1840/laborers-aliens-refugees-1940-1965\", \"/browse-by-topic/immigration-since-1840/immigration-since-1965\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-17ba119993ac77ee97e3", "input": "https://dp.la/primary-source-sets/the-panic-of-1837", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-17ba119993ac77ee97e3\", \"input\": \"dataset/html/liveweb-ie-17ba119993ac77ee97e3.html\", \"input_sha256\": \"45a932a30ba1e7dd730a918ba0938f79cc6066deff02c72c077bceea77e61eb6\", \"original_reference\": {\"source_image\": [\"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_01_b164a728cb23c90c22d6e562b04d37d6_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_02_352b22c62314cc50a42f1a42e40d9920_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_03_a560e20356ccefb5a5d9e8a86fb32823_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_04_826167643834faa2cf931c4615552617_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_05_a3572421fd7561cc0d242d17b6e4ec30_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_06_dc6ea846c0367dd7e86b0a3a597a0190_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_07_afa23a335d05126e9aa5ae23c7ab8295_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_08_11f35a933881202ff7acf8587ec8cf06_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_09_68fd883a8ff984b7d378a75882247c0a_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_10_5dcb9c70f7f093dfd0b3752e28e181f4_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_11_5dcb9c70f7f093dfd0b3752e28e181f4_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_12_70848a5284f1d7eb835d18845038042d_thumb.jpg\"]}, \"qualification\": {\"input_sha256\": \"45a932a30ba1e7dd730a918ba0938f79cc6066deff02c72c077bceea77e61eb6\", \"observed_at\": \"2026-11-06T10:08:02Z\", \"reference_sha256\": \"d8ecc44f345f8060fa4c29034f57474f42a5c0469337e6a6b8e2861e8ebbaa24\", \"source_url\": \"https://dp.la/primary-source-sets/the-panic-of-1837\"}, \"query\": \"Extract all source set images from the document\", \"schema\": {\"properties\": {\"source_image\": {\"description\": \"Extract all source set images from the document; target attribute: source_image\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"source_image\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"source_image\": {\"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_01_b164a728cb23c90c22d6e562b04d37d6_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_02_352b22c62314cc50a42f1a42e40d9920_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_03_a560e20356ccefb5a5d9e8a86fb32823_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_04_826167643834faa2cf931c4615552617_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_05_a3572421fd7561cc0d242d17b6e4ec30_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_06_dc6ea846c0367dd7e86b0a3a597a0190_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_07_afa23a335d05126e9aa5ae23c7ab8295_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_08_11f35a933881202ff7acf8587ec8cf06_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_09_68fd883a8ff984b7d378a75882247c0a_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_10_5dcb9c70f7f093dfd0b3752e28e181f4_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_11_5dcb9c70f7f093dfd0b3752e28e181f4_thumb.jpg\": 1, \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_12_70848a5284f1d7eb835d18845038042d_thumb.jpg\": 1}}, \"url\": \"https://dp.la/primary-source-sets/the-panic-of-1837\", \"value_kinds\": {\"source_image\": \"url\"}, \"values\": {\"source_image\": [\"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_01_b164a728cb23c90c22d6e562b04d37d6_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_02_352b22c62314cc50a42f1a42e40d9920_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_03_a560e20356ccefb5a5d9e8a86fb32823_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_04_826167643834faa2cf931c4615552617_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_05_a3572421fd7561cc0d242d17b6e4ec30_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_06_dc6ea846c0367dd7e86b0a3a597a0190_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_07_afa23a335d05126e9aa5ae23c7ab8295_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_08_11f35a933881202ff7acf8587ec8cf06_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_09_68fd883a8ff984b7d378a75882247c0a_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_10_5dcb9c70f7f093dfd0b3752e28e181f4_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_11_5dcb9c70f7f093dfd0b3752e28e181f4_thumb.jpg\", \"https://d2jf00asb0fe6y.cloudfront.net/panic-1837_12_70848a5284f1d7eb835d18845038042d_thumb.jpg\"]}}"}
{"family": "structured-field-extraction", "id": "liveweb-ie-715e4b997d99bb3680da", "input": "https://dp.la/exhibitions/leo-frank", "language": "und", "source_suite": "liveweb-ie", "task": "{\"assets\": [], \"domain\": \"dp\", \"id\": \"liveweb-ie-715e4b997d99bb3680da\", \"input\": \"dataset/html/liveweb-ie-715e4b997d99bb3680da.html\", \"input_sha256\": \"cee64e5ab02b77d45523cbf8651c0db8dc734e0a91d820f074f54bc7f040b73f\", \"original_reference\": {\"exhibition_link\": [\"/exhibitions/leo-frank/setting-atlanta-in-1913\"], \"title\": [\"Tragedy in the New South: The Murder of Mary Phagan and the Lynching of Leo Frank\"]}, \"qualification\": {\"input_sha256\": \"cee64e5ab02b77d45523cbf8651c0db8dc734e0a91d820f074f54bc7f040b73f\", \"observed_at\": \"2026-11-06T10:08:02Z\", \"reference_sha256\": \"97a3f0848501c14faba8d0b610e56af2ae4fc53448b5f47b2b7f572872dd7e2a\", \"source_url\": \"https://dp.la/exhibitions/leo-frank\"}, \"query\": \"Obtain the article's title and the corresponding exhibition link.\", \"schema\": {\"properties\": {\"exhibition_link\": {\"description\": \"Obtain the article's title and the corresponding exhibition link.; target attribute: exhibition_link\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}, \"title\": {\"description\": \"Obtain the article's title and the corresponding exhibition link.; target attribute: title\", \"items\": {\"type\": \"string\"}, \"type\": \"array\"}}, \"required\": [\"title\", \"exhibition_link\"], \"type\": \"object\"}, \"site\": \"dp\", \"source_value_counts\": {\"exhibition_link\": {\"/exhibitions/leo-frank/setting-atlanta-in-1913\": 1}, \"title\": {\"Tragedy in the New South: The Murder of Mary Phagan and the Lynching of Leo Frank\": 1}}, \"url\": \"https://dp.la/exhibitions/leo-frank\", \"value_kinds\": {\"exhibition_link\": \"url\"}, \"values\": {\"exhibition_link\": [\"/exhibitions/leo-frank/setting-atlanta-in-1913\"], \"title\": [\"Tragedy in the New South: The Murder of Mary Phagan and the Lynching of Leo Frank\"]}}"}