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data/retrieval_battle-3403941f-f995-496f-9668-ac196a27ebc6.jsonl

@@ -109,3 +109,4 @@
 {"tstamp": 1742125175.6579, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "fc0fe688ad2b45459883af18d014cf03", "0_model_name": "voyage-multilingual-2", "0_prompt": "Woran ist Rainer Fassbinder gestorben?", "0_output": [["Woran ist Rainer Fassbinder gestorben?", "Rainer Werner Fassbinder\n\nFassbinder died on 10 June 1982, at age 37, from a lethal cocktail of cocaine and barbiturates. His career lasted less than two decades, but he was extremely prolific; between 1967 and 1982, he completed over 40 feature films, 24 plays, two television serials, three short films, and four video productions, winning five of the most prestigious prizes for feature film in Germany, including the Golden Bear and multiple German Film Awards. His premature death is often considered  the end of the New German Cinema timeframe.\nEarly life\nFassbinder was born in the small town of Bad Wörishofen on 31 May 1945. He was born three weeks after US Army occupied the town and the unconditional surrender of Germany. The aftermath of World War II deeply marked his childhood and the lives of his family. In compliance with his mother's wishes, Fassbinder later claimed he was born on 31 May 1946, to more clearly establish himself as a child of the post-war period; his real age was revealed shortly before his death. He was the only child of Liselotte Pempeit (1922–93), a translator, and Helmut Fassbinder, a doctor who worked from the couple's apartment in Sendlinger Straße, near Munich's red light district. When he was three months old, he was left with a paternal uncle and aunt in the country, since his parents feared he would not survive the winter with them. He was one year old when he was returned to his parents in Munich. Fassbinder's mother came from the Free City of Danzig (now Gdańsk, Poland), whence many Germans had fled following World War II. As a result, a number of her relatives came to live with them in Munich."]], "0_corpus": "wikipedia", "1_conv_id": "d1fad38b658d4354a65a4aee00b19c5b", "1_model_name": "BM25", "1_prompt": "Woran ist Rainer Fassbinder gestorben?", "1_output": [["Woran ist Rainer Fassbinder gestorben?", "The Marriage of Maria Braun\n\nAs Fengler had oversold the rights to the film, the profit share of Fassbinder was an open question. Eckelkamp saw himself as the sole owner of all rights, but sent a check in the amount of 70,000 DM to Fassbinder in 1982 to appease the director. After Fassbinder's death his mother and heiress Liselotte Eder revived the claims, but was rejected by Eckelkamp. In the course of legal proceedings Eckelkamp was ordered in 1986 to disclose the film's finances to the newly founded Rainer Werner Fassbinder Foundation. Eckelkamp's Trio Film disclosed a budget of almost 2 million DM, additional marketing costs of 1 million DM and a net profit of 1 million DM. When Trio-Film was ordered to pay to Fassbinder's heirs 290,000 DM Eckelkamp refused. At the request of the Rainer Werner Fassbinder Foundation Trio Film had to declare bankruptcy in 1988. In the course of the continuing legal proceedings, the Oberlandesgericht Düsseldorf certified in 1990 that Fassbinder was not a co-producer of the film. The ruling was upheld by the Federal Court of Justice, but also ruled that the Fassbinder heirs were entitled to a share of the film's profits. Today all film rights are owned by the Rainer Werner Fassbinder Foundation."]], "1_corpus": "wikipedia"}
 {"tstamp": 1742156699.7048, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "05aa736e8697418ba02728f1fa4c9940", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "0_corpus": "wikipedia", "1_conv_id": "7d53e2eed78942119999c08738804343", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "1_corpus": "wikipedia"}
 {"tstamp": 1742156765.2894, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "9f77821a54b743fdaafb2b87eaef2330", "0_model_name": "text-embedding-3-large", "0_prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "0_output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Alpha Centauri\n\nIn 2009, computer simulations showed that a planet might have been able to form near the inner edge of Alpha Centauri B's habitable zone, which extends from  from the star. Certain special assumptions, such as considering that the Alpha Centauri pair may have initially formed with a wider separation and later moved closer to each other (as might be possible if they formed in a dense star cluster), would permit an accretion-friendly environment farther from the star. Bodies around Alpha Centauri A would be able to orbit at slightly farther distances due to its stronger gravity. In addition, the lack of any brown dwarfs or gas giants in close orbits around Alpha Centauri make the likelihood of terrestrial planets greater than otherwise. A theoretical study indicates that a radial velocity analysis might detect a hypothetical planet of  in Alpha Centauri B's habitable zone.\nRadial velocity measurements of Alpha Centauri B made with the High Accuracy Radial Velocity Planet Searcher spectrograph were sufficiently sensitive to detect a  planet within the habitable zone of the star (i.e. with an orbital period P = 200 days), but no planets were detected.\nCurrent estimates place the probability of finding an Earth-like planet around Alpha Centauri at roughly 75%. The observational thresholds for planet detection in the habitable zones by the radial velocity method are currently (2017) estimated to be about  for Alpha Centauri A,  for Alpha Centauri B, and  for Proxima Centauri.\nEarly computer-generated models of planetary formation predicted the existence of terrestrial planets around both Alpha Centauri A and B, but most recent numerical investigations have shown that the gravitational pull of the companion star renders the accretion of planets difficult. Despite these difficulties, given the similarities to the Sun in spectral types, star type, age and probable stability of the orbits, it has been suggested that this stellar system could hold one of the best possibilities for harbouring extraterrestrial life on a potential planet."]], "0_corpus": "wikipedia", "1_conv_id": "20f8056b5e8647e5a5a973062d3a1223", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "1_output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Planetary habitability\n\nPlanetary habitability is the measure of a planet's or a natural satellite's potential to develop and maintain environments hospitable to life. Life may be generated directly on a planet or satellite endogenously or be transferred to it from another body, through a hypothetical process known as panspermia. Environments do not need to contain life to be considered habitable nor are accepted habitable zones (HZ) the only areas in which life might arise."]], "1_corpus": "wikipedia"}
+{"tstamp": 1742171365.8934, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "004594f617464d69851fdc6d38620e2a", "0_model_name": "BAAI/bge-large-en-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: 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"]], "0_corpus": "stackexchange", "1_conv_id": "3c26a6b1760946c8bd794f3f4a89b87f", "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"}

data/retrieval_individual-3403941f-f995-496f-9668-ac196a27ebc6.jsonl

@@ -475,3 +475,5 @@
 {"tstamp": 1742156679.6586, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1742156677.2937, "finish": 1742156679.6586, "ip": "", "conv_id": "7d53e2eed78942119999c08738804343", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "corpus": "wikipedia"}
 {"tstamp": 1742156739.0456, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1742156736.1584, "finish": 1742156739.0456, "ip": "", "conv_id": "9f77821a54b743fdaafb2b87eaef2330", "model_name": "text-embedding-3-large", "prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Alpha Centauri\n\nIn 2009, computer simulations showed that a planet might have been able to form near the inner edge of Alpha Centauri B's habitable zone, which extends from  from the star. Certain special assumptions, such as considering that the Alpha Centauri pair may have initially formed with a wider separation and later moved closer to each other (as might be possible if they formed in a dense star cluster), would permit an accretion-friendly environment farther from the star. Bodies around Alpha Centauri A would be able to orbit at slightly farther distances due to its stronger gravity. In addition, the lack of any brown dwarfs or gas giants in close orbits around Alpha Centauri make the likelihood of terrestrial planets greater than otherwise. A theoretical study indicates that a radial velocity analysis might detect a hypothetical planet of  in Alpha Centauri B's habitable zone.\nRadial velocity measurements of Alpha Centauri B made with the High Accuracy Radial Velocity Planet Searcher spectrograph were sufficiently sensitive to detect a  planet within the habitable zone of the star (i.e. with an orbital period P = 200 days), but no planets were detected.\nCurrent estimates place the probability of finding an Earth-like planet around Alpha Centauri at roughly 75%. The observational thresholds for planet detection in the habitable zones by the radial velocity method are currently (2017) estimated to be about  for Alpha Centauri A,  for Alpha Centauri B, and  for Proxima Centauri.\nEarly computer-generated models of planetary formation predicted the existence of terrestrial planets around both Alpha Centauri A and B, but most recent numerical investigations have shown that the gravitational pull of the companion star renders the accretion of planets difficult. Despite these difficulties, given the similarities to the Sun in spectral types, star type, age and probable stability of the orbits, it has been suggested that this stellar system could hold one of the best possibilities for harbouring extraterrestrial life on a potential planet."]], "corpus": "wikipedia"}
 {"tstamp": 1742156739.0456, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1742156736.1584, "finish": 1742156739.0456, "ip": "", "conv_id": "20f8056b5e8647e5a5a973062d3a1223", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Planetary habitability\n\nPlanetary habitability is the measure of a planet's or a natural satellite's potential to develop and maintain environments hospitable to life. Life may be generated directly on a planet or satellite endogenously or be transferred to it from another body, through a hypothetical process known as panspermia. Environments do not need to contain life to be considered habitable nor are accepted habitable zones (HZ) the only areas in which life might arise."]], "corpus": "wikipedia"}
+{"tstamp": 1742171350.7101, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1742171348.4828, "finish": 1742171350.7101, "ip": "", "conv_id": "004594f617464d69851fdc6d38620e2a", "model_name": "BAAI/bge-large-en-v1.5", "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"}
+{"tstamp": 1742171350.7101, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1742171348.4828, "finish": 1742171350.7101, "ip": "", "conv_id": "3c26a6b1760946c8bd794f3f4a89b87f", "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"}