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data/clustering_individual-8d38bb89-1e1a-471a-8b9e-35c1f784690e.jsonl CHANGED
@@ -36,3 +36,7 @@
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  {"tstamp": 1722367016.4134, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722367016.1449, "finish": 1722367016.4134, "ip": "", "conv_id": "1d7ff0ec14534a8a8e417bc5e41188f7", "model_name": "GritLM/GritLM-7B", "prompt": ["A", "O", "caldera", "composite", "shield", "elephant", "giraffe", "penguin", "tiger", "lion", "dolphin", "square", "rectangle", "circle", "hexagon", "triangle", "octagon", "Ursa Major", "Cygnus", "Cassiopeia", "Leo", "Scorpius", "Taurus", "Orion"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1722367072.765, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722367071.9605, "finish": 1722367072.765, "ip": "", "conv_id": "49918e2cfa004e65b3d3d613733b7f66", "model_name": "text-embedding-3-large", "prompt": ["mathematics", "literature", "Norse", "Hindu", "contemporary", "salsa", "ballet", "hip-hop", "ballroom", "jazz", "conscientiousness", "openness", "neuroticism", "extroversion", "stomach", "lungs", "pancreas", "heart", "brain"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1722367072.765, "task_type": "clustering", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722367071.9605, "finish": 1722367072.765, "ip": "", "conv_id": "bfefbf9a7a1446ffbf84e23200f20d1f", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": ["mathematics", "literature", "Norse", "Hindu", "contemporary", "salsa", "ballet", "hip-hop", "ballroom", "jazz", "conscientiousness", "openness", "neuroticism", "extroversion", "stomach", "lungs", "pancreas", "heart", "brain"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 
 
 
 
 
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  {"tstamp": 1722367016.4134, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722367016.1449, "finish": 1722367016.4134, "ip": "", "conv_id": "1d7ff0ec14534a8a8e417bc5e41188f7", "model_name": "GritLM/GritLM-7B", "prompt": ["A", "O", "caldera", "composite", "shield", "elephant", "giraffe", "penguin", "tiger", "lion", "dolphin", "square", "rectangle", "circle", "hexagon", "triangle", "octagon", "Ursa Major", "Cygnus", "Cassiopeia", "Leo", "Scorpius", "Taurus", "Orion"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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  {"tstamp": 1722367072.765, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722367071.9605, "finish": 1722367072.765, "ip": "", "conv_id": "49918e2cfa004e65b3d3d613733b7f66", "model_name": "text-embedding-3-large", "prompt": ["mathematics", "literature", "Norse", "Hindu", "contemporary", "salsa", "ballet", "hip-hop", "ballroom", "jazz", "conscientiousness", "openness", "neuroticism", "extroversion", "stomach", "lungs", "pancreas", "heart", "brain"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
38
  {"tstamp": 1722367072.765, "task_type": "clustering", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722367071.9605, "finish": 1722367072.765, "ip": "", "conv_id": "bfefbf9a7a1446ffbf84e23200f20d1f", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": ["mathematics", "literature", "Norse", "Hindu", "contemporary", "salsa", "ballet", "hip-hop", "ballroom", "jazz", "conscientiousness", "openness", "neuroticism", "extroversion", "stomach", "lungs", "pancreas", "heart", "brain"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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+ {"tstamp": 1722369158.5386, "task_type": "clustering", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722369158.4888, "finish": 1722369158.5386, "ip": "", "conv_id": "655d241a42174f3bad02c05df2f3e727", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": ["Randy Kehler (July 16, 1944 – July 21, 2024) was an American pacifist, tax resister, and social justice advocate. Kehler objected to America's involvement in the Vietnam War and refused to cooperate with the draft. He is also known for his decision, along with his wife Betsy Corner, to stop paying federal income taxes in protest of war and military spending, a decision that led to the Internal Revenue Service (IRS) seizing their house in 1989.\n\nKehler was involved in several anti-war organizations in the 1960s and 1970s, and in the early 1980s was a leader in the movement against nuclear weapons.[1]\n\nEarly life and education\nKehler was born on July 16, 1944, in Bronxville, New York, and was raised in Scarsdale.[1] He attended Phillips Exeter Academy and graduated from Harvard University in 1967 with a degree in government.[1] While at Harvard, Kehler became involved with the Harlem chapter of Congress of Racial Equality (CORE).[1] Kehler has credited Martin Luther King Jr.'s \"I Have a Dream\" during the March on Washington for Jobs and Freedom in 1963 with shaping his interest in radical politics.[1]\n\nOpposition to the Vietnam War\nIn 1969, during the Vietnam War, Kehler returned his draft card to the Selective Service System. He refused to seek exemption as a conscientious objector, because he felt that doing so would be a form of cooperation with the US government's actions in Vietnam. After being called for induction and refusing to submit, he was charged with a federal crime. Found guilty at trial, Kehler served twenty-two months of a two-year sentence.[1]\n\nA 2020 documentary film, The Boys Who Said No!, features footage of and an interview with Kehler as one of several Vietnam-era draft resisters discussing that form of anti-war activism.[2]\n\nDaniel Ellsberg's exposure to Kehler in August 1969 (as Kehler was preparing to submit to his sentence) at the 13th Triennial Meeting of the War Resisters International, held at Haverford College, was a pivotal event in Ellsberg's decision to copy and release the Pentagon Papers.[3]\n\nAnti-nuclear activism\nKehler became active in anti-nuclear proliferation and nuclear disarmament movements while leading a grassroots campaign in western Massachusetts to support the concept of a nuclear freeze. His efforts led to his meeting fellow activist Randy Forsberg, who was leading a similar effort at a national level.[4] From 1981 through 1984, Kehler served as Executive Director of the National Nuclear Weapons Freeze Campaign.[5]\n\nKehler advocated against the use of nuclear power and led campaigns for the closure of nuclear power plants, including Vermont Yankee in Vernon, Vermont.[6][7]\n\nResistance of federal income tax\nFrom 1977 onward, Kehler and his wife Betsy Corner refused to pay their federal income taxes in protest of war and military expenditures; they continued to pay their state and local taxes, and donated the money they owed in federal income taxes to charity.[8] This led to the seizure of their house in Colrain, Massachusetts by the IRS in 1989. The home was subsequently purchased by the federal government. Kehler and Corner, along with supporters from the local community, struggled for years with the government and with another couple who attempted to purchase and move in to the home. The events were documented in the 1997 documentary film An Act of Conscience.[9][10][11]\n\nKehler died at his home in Shelburne Falls, Massachusetts, on July 21, 2024, at the age of 80.[5]\n\n"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
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+ {"tstamp": 1722369179.7486, "task_type": "clustering", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722369168.9576, "finish": 1722369179.7486, "ip": "", "conv_id": "655d241a42174f3bad02c05df2f3e727", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": ["Randy Kehler (July 16, 1944 – July 21, 2024) was an American pacifist, tax resister, and social justice advocate. Kehler objected to America's involvement in the Vietnam War and refused to cooperate with the draft. He is also known for his decision, along with his wife Betsy Corner, to stop paying federal income taxes in protest of war and military spending, a decision that led to the Internal Revenue Service (IRS) seizing their house in 1989.\n\nKehler was involved in several anti-war organizations in the 1960s and 1970s, and in the early 1980s was a leader in the movement against nuclear weapons.[1]\n\nEarly life and education\nKehler was born on July 16, 1944, in Bronxville, New York, and was raised in Scarsdale.[1] He attended Phillips Exeter Academy and graduated from Harvard University in 1967 with a degree in government.[1] While at Harvard, Kehler became involved with the Harlem chapter of Congress of Racial Equality (CORE).[1] Kehler has credited Martin Luther King Jr.'s \"I Have a Dream\" during the March on Washington for Jobs and Freedom in 1963 with shaping his interest in radical politics.[1]\n\nOpposition to the Vietnam War\nIn 1969, during the Vietnam War, Kehler returned his draft card to the Selective Service System. He refused to seek exemption as a conscientious objector, because he felt that doing so would be a form of cooperation with the US government's actions in Vietnam. After being called for induction and refusing to submit, he was charged with a federal crime. Found guilty at trial, Kehler served twenty-two months of a two-year sentence.[1]\n\nA 2020 documentary film, The Boys Who Said No!, features footage of and an interview with Kehler as one of several Vietnam-era draft resisters discussing that form of anti-war activism.[2]\n\nDaniel Ellsberg's exposure to Kehler in August 1969 (as Kehler was preparing to submit to his sentence) at the 13th Triennial Meeting of the War Resisters International, held at Haverford College, was a pivotal event in Ellsberg's decision to copy and release the Pentagon Papers.[3]\n\nAnti-nuclear activism\nKehler became active in anti-nuclear proliferation and nuclear disarmament movements while leading a grassroots campaign in western Massachusetts to support the concept of a nuclear freeze. His efforts led to his meeting fellow activist Randy Forsberg, who was leading a similar effort at a national level.[4] From 1981 through 1984, Kehler served as Executive Director of the National Nuclear Weapons Freeze Campaign.[5]\n\nKehler advocated against the use of nuclear power and led campaigns for the closure of nuclear power plants, including Vermont Yankee in Vernon, Vermont.[6][7]\n\nResistance of federal income tax\nFrom 1977 onward, Kehler and his wife Betsy Corner refused to pay their federal income taxes in protest of war and military expenditures; they continued to pay their state and local taxes, and donated the money they owed in federal income taxes to charity.[8] This led to the seizure of their house in Colrain, Massachusetts by the IRS in 1989. The home was subsequently purchased by the federal government. Kehler and Corner, along with supporters from the local community, struggled for years with the government and with another couple who attempted to purchase and move in to the home. The events were documented in the 1997 documentary film An Act of Conscience.[9][10][11]\n\nKehler died at his home in Shelburne Falls, Massachusetts, on July 21, 2024, at the age of 80.[5]\n\n", "convex", "plane", "parabolic", "concave", "wool", "denim", "linen", "question mark", "colon", "comma", "exclamation point", "period", "hyphen", "jiu-jitsu", "muay thai", "kung fu", "Chinese", "French"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
data/retrieval_individual-8d38bb89-1e1a-471a-8b9e-35c1f784690e.jsonl CHANGED
@@ -92,3 +92,5 @@
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  {"tstamp": 1722368878.8033, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722368878.6836, "finish": 1722368878.8033, "ip": "", "conv_id": "7cffcfc7754c4aa781e6dff22cb8b716", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "who created gcsl?", "output": [["who created gcsl?", "Title: Supporting the GLAST User Community\n\nAbstract: The Gamma-ray Large Area Space Telescope (GLAST) Science Support Center (GSSC) is the scientific community's interface with GLAST. The GSSC will provide data, analysis software and documentation. In addition, the GSSC will administer the guest investigator program for NASA HQ. Consequently, the GSSC will provide proposal preparation tools to assist proposers in assessing the feasibility of observing sources of interest."]], "corpus": "arxiv"}
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  {"tstamp": 1722368926.1276, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722368925.9586, "finish": 1722368926.1276, "ip": "", "conv_id": "ea5e400b4db942b7adbea39fd7263a77", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Why does it do this ? if - __name__ == '__main__' \nDuplicate of:\nWhat does if __name__== \"__main__\" do? \n\nConsider this code:\nif __name__ == '__main__':\n import pdb\n pdb.run(\"interact()\\n\")\n\nWhat does the following line mean?\nif(__name__=='__main__')\n\nI fainted.\n\nA: That is a check to see if you are directly running the script or if it is included in a library.\nWhen you run a python script like this:\npython myScript.py\n\nIt sends a parameter, telling you to run the programs first method, which is widely called \"main\", so when __name__ is __main__ you know that the program was executed from a command line or double clicked.\n"]], "corpus": "stackexchange"}
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  {"tstamp": 1722368926.1276, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722368925.9586, "finish": 1722368926.1276, "ip": "", "conv_id": "ae5db96d81e84d8b8daa0d3142568b97", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "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"]], "corpus": "stackexchange"}
 
 
 
92
  {"tstamp": 1722368878.8033, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722368878.6836, "finish": 1722368878.8033, "ip": "", "conv_id": "7cffcfc7754c4aa781e6dff22cb8b716", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "who created gcsl?", "output": [["who created gcsl?", "Title: Supporting the GLAST User Community\n\nAbstract: The Gamma-ray Large Area Space Telescope (GLAST) Science Support Center (GSSC) is the scientific community's interface with GLAST. The GSSC will provide data, analysis software and documentation. In addition, the GSSC will administer the guest investigator program for NASA HQ. Consequently, the GSSC will provide proposal preparation tools to assist proposers in assessing the feasibility of observing sources of interest."]], "corpus": "arxiv"}
93
  {"tstamp": 1722368926.1276, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722368925.9586, "finish": 1722368926.1276, "ip": "", "conv_id": "ea5e400b4db942b7adbea39fd7263a77", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Why does it do this ? if - __name__ == '__main__' \nDuplicate of:\nWhat does if __name__== \"__main__\" do? \n\nConsider this code:\nif __name__ == '__main__':\n import pdb\n pdb.run(\"interact()\\n\")\n\nWhat does the following line mean?\nif(__name__=='__main__')\n\nI fainted.\n\nA: That is a check to see if you are directly running the script or if it is included in a library.\nWhen you run a python script like this:\npython myScript.py\n\nIt sends a parameter, telling you to run the programs first method, which is widely called \"main\", so when __name__ is __main__ you know that the program was executed from a command line or double clicked.\n"]], "corpus": "stackexchange"}
94
  {"tstamp": 1722368926.1276, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722368925.9586, "finish": 1722368926.1276, "ip": "", "conv_id": "ae5db96d81e84d8b8daa0d3142568b97", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "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"]], "corpus": "stackexchange"}
95
+ {"tstamp": 1722369064.2119, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722369062.051, "finish": 1722369064.2119, "ip": "", "conv_id": "a293ecb0868a4b12a15357205eacd509", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "where do the sirens live in the odyssey", "output": [["where do the sirens live in the odyssey", "Siren (mythology)\n\nIn Greek mythology, sirens () are humanlike beings with alluring voices; they appear in a scene in the Odyssey in which Odysseus saves his crew's lives. Roman poets place them on some small islands called Sirenum scopuli. In some later, rationalized traditions, the literal geography of the \"flowery\" island of Anthemoessa, or Anthemusa, is fixed: sometimes on Cape Pelorum and at others in the islands known as the Sirenuse, near Paestum, or in Capreae. All such locations were surrounded by cliffs and rocks.\nSirens continued to be used as a symbol for the dangerous temptation embodied by women regularly throughout Christian art of the medieval era. \"Siren\" can also be used as a slang term for a woman considered both very attractive and dangerous.\nNomenclature\nThe etymology of the name is contested. Robert S. P. Beekes has suggested a Pre-Greek origin. Others connect the name to σειρά (seirá, \"rope, cord\") and εἴρω (eírō, \"to tie, join, fasten\"), resulting in the meaning \"binder, entangler\", i.e. one who binds or entangles through magic song. This could be connected to the famous scene of Odysseus being bound to the mast of his ship, in order to resist their song.\nSirens were later often used as a synonym for mermaids, and portrayed with upper human bodies and fish tails. This combination became iconic in the medieval period. The circumstances leading to the commingling involve the treatment of sirens in the medieval Physiologus and bestiaries, both iconographically, as well as textually in translations from Latin to vulgar languages, as described below.\nIconography"]], "corpus": "wikipedia"}
96
+ {"tstamp": 1722369064.2119, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722369062.051, "finish": 1722369064.2119, "ip": "", "conv_id": "5fbd2684062f435bad280bb2050c59e0", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "where do the sirens live in the odyssey", "output": [["where do the sirens live in the odyssey", "Siren (mythology)\n\nIn Greek mythology, sirens () are humanlike beings with alluring voices; they appear in a scene in the Odyssey in which Odysseus saves his crew's lives. Roman poets place them on some small islands called Sirenum scopuli. In some later, rationalized traditions, the literal geography of the \"flowery\" island of Anthemoessa, or Anthemusa, is fixed: sometimes on Cape Pelorum and at others in the islands known as the Sirenuse, near Paestum, or in Capreae. All such locations were surrounded by cliffs and rocks.\nSirens continued to be used as a symbol for the dangerous temptation embodied by women regularly throughout Christian art of the medieval era. \"Siren\" can also be used as a slang term for a woman considered both very attractive and dangerous.\nNomenclature\nThe etymology of the name is contested. Robert S. P. Beekes has suggested a Pre-Greek origin. Others connect the name to σειρά (seirá, \"rope, cord\") and εἴρω (eírō, \"to tie, join, fasten\"), resulting in the meaning \"binder, entangler\", i.e. one who binds or entangles through magic song. This could be connected to the famous scene of Odysseus being bound to the mast of his ship, in order to resist their song.\nSirens were later often used as a synonym for mermaids, and portrayed with upper human bodies and fish tails. This combination became iconic in the medieval period. The circumstances leading to the commingling involve the treatment of sirens in the medieval Physiologus and bestiaries, both iconographically, as well as textually in translations from Latin to vulgar languages, as described below.\nIconography"]], "corpus": "wikipedia"}