Scheduled Commit

data/clustering_individual-407c4836-37e2-4f9f-8e9b-06706cc4440c.jsonl

@@ -4,3 +4,5 @@
 {"tstamp": 1722465608.9748, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722465608.2091, "finish": 1722465608.9748, "ip": "", "conv_id": "a410501fd5954b768b52dda204d4868d", "model_name": "text-embedding-3-large", "prompt": ["North America", "Antarctica", "Asia", "South America", "Europe", "Australia", "Africa", "top hat", "cowboy hat", "beret", "silk", "denim", "linen", "cotton", "leather", "polyester", "wool"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1722497199.4688, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722497198.0356, "finish": 1722497199.4688, "ip": "", "conv_id": "114d9a0c8a624b8a965faf4512ef2987", "model_name": "text-embedding-3-large", "prompt": ["square", "circle", "hexagon", "rectangle", "octagon", "triangle", "livestock", "mixed", "dairy", "fruit", "vegetable", "poultry", "sushi bar", "fine dining", "cafe", "pu-erh", "rooibos", "chamomile", "white", "comma", "colon", "hyphen", "exclamation point", "semicolon"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1722497199.4688, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722497198.0356, "finish": 1722497199.4688, "ip": "", "conv_id": "d59845cab9fc485580acae1f32625473", "model_name": "embed-english-v3.0", "prompt": ["square", "circle", "hexagon", "rectangle", "octagon", "triangle", "livestock", "mixed", "dairy", "fruit", "vegetable", "poultry", "sushi bar", "fine dining", "cafe", "pu-erh", "rooibos", "chamomile", "white", "comma", "colon", "hyphen", "exclamation point", "semicolon"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1722500419.1053, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722500418.8483, "finish": 1722500419.1053, "ip": "", "conv_id": "bad35373d54d4cd08e171ec257ae889a", "model_name": "embed-english-v3.0", "prompt": ["English", "Mandarin", "Spanish", "Brave", "Safari", "confirmation bias", "availability bias"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1722500419.1053, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722500418.8483, "finish": 1722500419.1053, "ip": "", "conv_id": "88d6f28e0dcb48e0810c8cbebdea7541", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["English", "Mandarin", "Spanish", "Brave", "Safari", "confirmation bias", "availability bias"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}

data/retrieval_individual-407c4836-37e2-4f9f-8e9b-06706cc4440c.jsonl

@@ -372,3 +372,5 @@
 {"tstamp": 1722497484.2757, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722497482.0851, "finish": 1722497484.2757, "ip": "", "conv_id": "7f72633aeb9b4ed6b74dde06a6dbc22e", "model_name": "embed-english-v3.0", "prompt": "a paper which evaluates LLMs abilities to roleplay as a character", "output": [["a paper which evaluates LLMs abilities to roleplay as a character", "Title: Character-LLM: A Trainable Agent for Role-Playing\n\nAbstract: Large language models (LLMs) can be used to serve as agents to simulate human behaviors, given the powerful ability to understand human instructions and provide high-quality generated texts. Such ability stimulates us to wonder whether LLMs can simulate a person in a higher form than simple human behaviors. Therefore, we aim to train an agent with the profile, experience, and emotional states of a specific person instead of using limited prompts to instruct ChatGPT API. In this work, we introduce Character-LLM that teach LLMs to act as specific people such as Beethoven, Queen Cleopatra, Julius Caesar, etc. Our method focuses on editing profiles as experiences of a certain character and training models to be personal simulacra with these experiences. To assess the effectiveness of our approach, we build a test playground that interviews trained agents and evaluates whether the agents \\textit{memorize} their characters and experiences. Experimental results show interesting observations that help build future simulacra of humankind."]], "corpus": "arxiv"}
 {"tstamp": 1722500119.6458, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722500117.4285, "finish": 1722500119.6458, "ip": "", "conv_id": "4b176b81cf88472caae1cfc0d81ce685", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: html dangerous tags to avoid while developing a chat application I am developing a chat application using PHP and jQuery... all messages sent by the chat pair are appended to a <div>. While doing this, I found that tags such as <script> can be entered by users. What tags should I avoid while appending the user's message?\n\nA: Avoid tags that will inject content into the page:\n\n\n*\n\n*applet\n\n*script\n\n*style\n\n*link\n\n*iframe\n\n\nOther tags may be necessary to remove, as well. Maybe you don't want to embed images. These are things that you will need to determine. At the bare minimum, allow <p> and <br />.\n"]], "corpus": "stackexchange"}
 {"tstamp": 1722500119.6458, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722500117.4285, "finish": 1722500119.6458, "ip": "", "conv_id": "303956372a97407f85c1fc9575894a34", "model_name": "BM25", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What is the purpose of __name__? What does __name__ do? I have only seen it paired with __main__ and nothing else.\nI know that the classic if __name__ == __main__: defines the behavior when acting as a package vs running as stand-alone.\nHowever what other usages are there for __name__?\n\nA: __name__ is \"__main__\" if you're executing the script directly. If you're importing a module, __name__ is the name of the module.\nfoo.py:\nprint(__name__)\n\nbar.py \nimport foo\n\nRun the scripts:\n$ python foo.py\n__main__\n$ python bar.py \nfoo\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722500375.9599, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722500375.8182, "finish": 1722500375.9599, "ip": "", "conv_id": "f01a1a9bcfc44f5baac61c72666eff23", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "In English when to use –, — vs -?", "output": [["In English when to use –, — vs -?", "English Stackexchange\n\nQ: When to use -, – and —? \nPossible Duplicate:\nWhen should I use an em-dash, an en-dash, and a hyphen? \n\nThis is about hyphens (-), en-dashes (–) and em-dashes (—).\nWhen to use which one? To be honest, I always use em-dashes unless I join words with a hyphen, but I never use an en-dash.\n\nA: Hyphens are used in compound modifiers.\n\n\n*\n\n*a well-trained professional\n\n*over-the-counter drugs\n\n\nEn dashes are used in place of \"to\" to connect numbers or words.\n\n\n*\n\n*The London–Amsterdam flight is delayed.\n\n*The meeting is from 3:00–4:30 p.m.\n\n\nEm dashes help set off amplifying or explanatory statements.\n\n\n*\n\n*The vampire—it had been awake half the night—flew out of its coffin.\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722500375.9599, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722500375.8182, "finish": 1722500375.9599, "ip": "", "conv_id": "5486fea1d5544847b6eba3d043e37f62", "model_name": "BM25", "prompt": "In English when to use –, — vs -?", "output": [["In English when to use –, — vs -?", "English Stackexchange\n\nQ: When to use \"If I was\" vs. \"If I were\"? \n*\n\n*If I was...\n\n*If I were...\n\n\nWhen is it correct to use \"If I was\" vs. \"If I were\" in standard English?\n\nA: When in doubt, always use the subjunctive mood:\n\nIf I were you...\n\nIt will make you sound smarter and it is technically correct since \"the subjunctive mood is used to express a wish or possible situation that is currently not true.\"\n"]], "corpus": "stackexchange"}