Scheduled Commit

data/retrieval_battle-b05ca3f8-c521-4bfc-a840-ff14f8eda5db.jsonl

@@ -158,3 +158,4 @@
 {"tstamp": 1734762585.1382, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "dc32d15eade14086b984a13449685923", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "0_corpus": "stackexchange", "1_conv_id": "b8268af079de418fa28501219d8021d0", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "What's the purpose of `if __name__ == '__main__'`?", "1_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Reading h264 stream in Python I am trying to read a video stream from a Parrot Bebop 2 drone. \nThe video stream is written as \"socket\" to a file as H264 stream.\n$ ffmpeg -i [STREAM]\nInput #0, h264, from 'stream_h264':\n  Duration: N/A, bitrate: N/A\n  Stream #0:0: Video: h264 (Constrained Baseline), 1 reference frame, yuv420p(progressive, left), 1280x720, 23.98 fps, 23.98 tbr, 1200k tbn, 47.95 tbc\n\nReading the video stream in MPlayer is not a problem using the parameters below. Playing it using VLC or ffmpeg should also not be too hard. For MPlayer the following works:\nmplayer -fs -demuxer h264es -benchmark stream_h264\n\nThis plays the stream in high-res. However my goal is to perform image processing on the frames using Python (mostly OpenCV). Therefore, I would like to read the frames into NumPy arrays. I have already considered using cv2.VideoCapture but this does not seem to work for my stream. Other (somewhat easy) to use options I am not aware of, therefore my question is whether someone recommend me how to read the video frames in Python? \nAll recommendations are more than welcome!\n"]], "1_corpus": "stackexchange"}
 {"tstamp": 1734779113.0864, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "6a0ff819b2064f31a750c8f12c843d1a", "0_model_name": "voyage-multilingual-2", "0_prompt": "set up a zfs fs", "0_output": [["set up a zfs fs", "Serverfault Stackexchange\n\nQ: zfs pool not automatically mounted I recently installed freebsd 8 on a file server and created a raidz-pool from 4 drives. It works fine, except the filesystems are not mounted automatically on boot. zpool status and zfs list shows nothing wrong but I have to do a zpool export and import for the pool and filesystems to get mounted, and consequently for the shares to be accessible from the network.\nThis also happens on a vmware test system I have, also running freebsd 8 (x64 in both cases). After the manual import everything works fine.\nI assume this is a small bug in freebsd 8 since it happens with two different installs, and I can work around it with a small script, but what's the (proper) way to solve it?\n\nA: Sounds like your ZFS isn't enabled in rc.conf...\necho 'zfs_enable=\"YES\"' >> /etc/rc.conf\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "e06a78049e92419eace60897d4fc4a3b", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "set up a zfs fs", "1_output": [["set up a zfs fs", "Askubuntu Stackexchange\n\nQ: How to use ZFS on Ubuntu 16.04? It seem that Ubuntu 16.04 LTS supports the ZFS filesystem. But how do I use it?\nI'm sorry, I don't know very much about ZFS, but it sounds good. I want it.\n\nA: As root in an Ubuntu 16.04.1 LTS this works:\napt update\napt install -y zfs\n\nYou are then done. You can check it is there by doing:\nzfs list\n\nyou can then create a pool by doing:\nzpool create -f zxavi /dev/sdb\n\nor whatever disk you want to use; and after that:\nzpool status\n\nBoom, done!\n"]], "1_corpus": "stackexchange"}
 {"tstamp": 1734792910.5666, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "dd0b0ae34d414976b4de1e8025595445", "0_model_name": "voyage-multilingual-2", "0_prompt": "I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "0_output": [["I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "Title: The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding\n\nAbstract: The evaluation of English text embeddings has transitioned from evaluating a handful of datasets to broad coverage across many tasks through benchmarks such as MTEB. However, this is not the case for multilingual text embeddings due to a lack of available benchmarks. To address this problem, we introduce the Scandinavian Embedding Benchmark (SEB). SEB is a comprehensive framework that enables text embedding evaluation for Scandinavian languages across 24 tasks, 10 subtasks, and 4 task categories. Building on SEB, we evaluate more than 26 models, uncovering significant performance disparities between public and commercial solutions not previously captured by MTEB. We open-source SEB and integrate it with MTEB, thus bridging the text embedding evaluation gap for Scandinavian languages."]], "0_corpus": "arxiv", "1_conv_id": "6ac49c918e974913a9efa1d23e48ddf2", "1_model_name": "text-embedding-004", "1_prompt": "I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "1_output": [["I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "Title: MTEB: Massive Text Embedding Benchmark\n\nAbstract: Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. This suggests that the field has yet to converge on a universal text embedding method and scale it up sufficiently to provide state-of-the-art results on all embedding tasks. MTEB comes with open-source code and a public leaderboard at https://github.com/embeddings-benchmark/mteb."]], "1_corpus": "arxiv"}
+{"tstamp": 1734802466.5086, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "e4c831e15fde49b19e2e8c4e09d1c0c3", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "0_corpus": "stackexchange", "1_conv_id": "f537e0cbbb6746d89103c69105809dc5", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "What's the purpose of `if __name__ == '__main__'`?", "1_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "1_corpus": "stackexchange"}

data/retrieval_individual-b05ca3f8-c521-4bfc-a840-ff14f8eda5db.jsonl

@@ -556,3 +556,7 @@
 {"tstamp": 1734792896.8454, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1734792894.3709, "finish": 1734792896.8454, "ip": "", "conv_id": "6ac49c918e974913a9efa1d23e48ddf2", "model_name": "text-embedding-004", "prompt": "I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "output": [["I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "Title: MTEB: Massive Text Embedding Benchmark\n\nAbstract: Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. This suggests that the field has yet to converge on a universal text embedding method and scale it up sufficiently to provide state-of-the-art results on all embedding tasks. MTEB comes with open-source code and a public leaderboard at https://github.com/embeddings-benchmark/mteb."]], "corpus": "arxiv"}
 {"tstamp": 1734796462.7954, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1734796462.5851, "finish": 1734796462.7954, "ip": "", "conv_id": "210c02e7b43b41439c164e3f3fd37e0e", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "what is the average time in hospice care", "output": [["what is the average time in hospice care", "Hospice care in the United States\n\nMany physicians are slow to refer to hospice care, waiting until they are absolutely certain of a terminal prognosis. Some physicians believe that the patient must have a six-month prognosis or less to receive hospice care, while others are overly optimistic in their assessment of prognosis, presuming treatment will be more effective than it is. As a result, the majority of patients are referred to hospice in the very end-stages of their diseases, or choose that time to seek hospice care. The average length of stay in hospice before a patient dies was 26 days in 1994 and 19 days in 1998. Although the length of average stays has since increased, the term of care continues to be underused. In 2004 the average stay was 57 days and the median length was 22 days. 33% of hospice patients admitted in 2004 died within seven days of admission.\nSuch late admission is inconsistent with the process of hospice, which is to alleviate patient distress over a period of time, based on time for patients and family members to develop relationships with the hospice team.\nSome people believe that only individuals suffering from cancer or AIDS can receive hospice care. Hospice in the United States developed around the model of cancer care, with a relatively predictable pattern of deterioration. According to 2002's The Case Against Assisted Suicide: For the Right to End-of-life Care, \"60% of hospice patients have cancer.\" But, patients can be on hospice for numerous other illnesses, such as end-stage heart and lung diseases, stroke, renal failure, Alzheimers, or many other conditions. Any diagnosis that would be an acceptable cause of death on a death certificate is, if expected to be terminal, an acceptable diagnosis for hospice care."]], "corpus": "wikipedia"}
 {"tstamp": 1734796462.7954, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1734796462.5851, "finish": 1734796462.7954, "ip": "", "conv_id": "9871d7dd4dd2490f9d8f4851e5a260cd", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "what is the average time in hospice care", "output": [["what is the average time in hospice care", "Hospice care in the United States\n\nMany physicians are slow to refer to hospice care, waiting until they are absolutely certain of a terminal prognosis. Some physicians believe that the patient must have a six-month prognosis or less to receive hospice care, while others are overly optimistic in their assessment of prognosis, presuming treatment will be more effective than it is. As a result, the majority of patients are referred to hospice in the very end-stages of their diseases, or choose that time to seek hospice care. The average length of stay in hospice before a patient dies was 26 days in 1994 and 19 days in 1998. Although the length of average stays has since increased, the term of care continues to be underused. In 2004 the average stay was 57 days and the median length was 22 days. 33% of hospice patients admitted in 2004 died within seven days of admission.\nSuch late admission is inconsistent with the process of hospice, which is to alleviate patient distress over a period of time, based on time for patients and family members to develop relationships with the hospice team.\nSome people believe that only individuals suffering from cancer or AIDS can receive hospice care. Hospice in the United States developed around the model of cancer care, with a relatively predictable pattern of deterioration. According to 2002's The Case Against Assisted Suicide: For the Right to End-of-life Care, \"60% of hospice patients have cancer.\" But, patients can be on hospice for numerous other illnesses, such as end-stage heart and lung diseases, stroke, renal failure, Alzheimers, or many other conditions. Any diagnosis that would be an acceptable cause of death on a death certificate is, if expected to be terminal, an acceptable diagnosis for hospice care."]], "corpus": "wikipedia"}
+{"tstamp": 1734802440.0647, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1734802439.7848, "finish": 1734802440.0647, "ip": "", "conv_id": "e4c831e15fde49b19e2e8c4e09d1c0c3", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "corpus": "stackexchange"}
+{"tstamp": 1734802440.0647, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1734802439.7848, "finish": 1734802440.0647, "ip": "", "conv_id": "f537e0cbbb6746d89103c69105809dc5", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "corpus": "stackexchange"}
+{"tstamp": 1734802544.7676, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1734802544.564, "finish": 1734802544.7676, "ip": "", "conv_id": "ae5e1131226a40e4be35205d32f4a62e", "model_name": "GritLM/GritLM-7B", "prompt": "I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "output": [["I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "Title: MTEB: Massive Text Embedding Benchmark\n\nAbstract: Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. This suggests that the field has yet to converge on a universal text embedding method and scale it up sufficiently to provide state-of-the-art results on all embedding tasks. MTEB comes with open-source code and a public leaderboard at https://github.com/embeddings-benchmark/mteb."]], "corpus": "arxiv"}
+{"tstamp": 1734802544.7676, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1734802544.564, "finish": 1734802544.7676, "ip": "", "conv_id": "e414f12638414790a4165dfad18b0b47", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "output": [["I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "Title: MTEB: Massive Text Embedding Benchmark\n\nAbstract: Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. This suggests that the field has yet to converge on a universal text embedding method and scale it up sufficiently to provide state-of-the-art results on all embedding tasks. MTEB comes with open-source code and a public leaderboard at https://github.com/embeddings-benchmark/mteb."]], "corpus": "arxiv"}