(/data2-HDD-SATA-20T/nzq/env/hipporag) (fishspeech) nzq@algernon:/data2-HDD-SATA-20T/nzq/jmf/new_rag_2/experiment/HippoRAG$ python main_azure.py --dataset musique --llm_base_url https://gpt-nzq-east-us.openai.azure.com/ --llm_name gpt-4o-mini --embedding_name nvidia/NV-Embed-v2
[lifang535] len(corpus): 11656
[lifang535] len(docs) = 11656
[lifang535] len(all_queries): 1000
[lifang535] len(gold_docs) = 1000
INFO:src.hipporag.TAG:Creating working directory: outputs/musique/gpt-4o-mini_nvidia_NV-Embed-v2
INFO:src.hipporag.prompts.prompt_template_manager:Loading templates from directory: /data2-HDD-SATA-20T/nzq/jmf/new_rag_2/experiment/HippoRAG/src/hipporag/prompts/templates
[lifang535] [PromptTemplateManager] self.templates: 
{'topic_extraction': [{'role': 'system', 'content': <string.Template object at 0x7fec6c36ca30>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c7c0>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec6c36ca00>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c7f0>}], 'triple_extraction': [{'role': 'system', 'content': <string.Template object at 0x7fec6c36c5e0>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c4f0>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec6c36cc40>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c3a0>}], 'ircot_musique': [{'role': 'system', 'content': <string.Template object at 0x7fec6c36c640>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba10c0>}], 'rag_qa_musique': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba1090>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1210>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec64ba1120>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba11e0>}], 'ner_query': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba12a0>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1420>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec64ba1330>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba13f0>}], 'ircot_hotpotqa': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba14b0>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1630>}], 'ner': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba1540>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1600>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec64ba16c0>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1720>}]}
INFO:datasets:PyTorch version 2.5.1 available.
INFO:datasets:Polars version 1.29.0 available.
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:05<00:00,  1.39s/it]
INFO:src.hipporag.embedding_store:Creating working directory: outputs/musique/gpt-4o-mini_nvidia_NV-Embed-v2/chunk_embeddings
INFO:src.hipporag.embedding_store:Creating working directory: outputs/musique/gpt-4o-mini_nvidia_NV-Embed-v2/entity_embeddings
INFO:src.hipporag.embedding_store:Creating working directory: outputs/musique/gpt-4o-mini_nvidia_NV-Embed-v2/fact_embeddings
INFO:src.hipporag.prompts.prompt_template_manager:Loading templates from directory: /data2-HDD-SATA-20T/nzq/jmf/new_rag_2/experiment/HippoRAG/src/hipporag/prompts/templates
[lifang535] [PromptTemplateManager] self.templates: 
{'topic_extraction': [{'role': 'system', 'content': <string.Template object at 0x7fec6c36ca30>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c7c0>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec6c36ca00>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c7f0>}], 'triple_extraction': [{'role': 'system', 'content': <string.Template object at 0x7fec6c36c5e0>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c4f0>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec6c36cc40>}, {'role': 'user', 'content': <string.Template object at 0x7fec6c36c3a0>}], 'ircot_musique': [{'role': 'system', 'content': <string.Template object at 0x7fec6c36c640>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba10c0>}], 'rag_qa_musique': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba1090>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1210>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec64ba1120>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba11e0>}], 'ner_query': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba12a0>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1420>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec64ba1330>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba13f0>}], 'ircot_hotpotqa': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba14b0>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1630>}], 'ner': [{'role': 'system', 'content': <string.Template object at 0x7fec64ba1540>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1600>}, {'role': 'assistant', 'content': <string.Template object at 0x7fec64ba16c0>}, {'role': 'user', 'content': <string.Template object at 0x7fec64ba1720>}]}
[lifang535] [TAG] [topic_index] len(docs): 600
INFO:src.hipporag.TAG:Indexing Documents
INFO:src.hipporag.TAG:Performing OpenIE
[lifang535] [TAG] [topic_index] self.global_config.openie_mode != 'offline'
INFO:src.hipporag.embedding_store:Inserting 600 new records, 0 records already exist.
Batch Encoding:   0%|                                                                                                      | 0/600 [00:00<?, ?it/s]/data2-HDD-SATA-20T/nzq/huggingface_cache/modules/transformers_modules/nvidia/NV-Embed-v2/c50d55f43bde7e6a18e0eaa15a62fd63a930f1a1/modeling_nvembed.py:349: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
  'input_ids': torch.tensor(batch_dict.get('input_ids').to(batch_dict.get('input_ids')).long()),
/data2-HDD-SATA-20T/nzq/env/hipporag/lib/python3.10/contextlib.py:103: FutureWarning: `torch.backends.cuda.sdp_kernel()` is deprecated. In the future, this context manager will be removed. Please see `torch.nn.attention.sdpa_kernel()` for the new context manager, with updated signature.
  self.gen = func(*args, **kwds)
Batch Encoding: 100%|████████████████████████████████████████████████████████████████████████████████████████████| 600/600 [00:39<00:00, 15.19it/s]
INFO:src.hipporag.embedding_store:Saving new records.
INFO:src.hipporag.embedding_store:Saved 600 records to outputs/musique/gpt-4o-mini_nvidia_NV-Embed-v2/chunk_embeddings/vdb_chunk.parquet
[lifang535] [TAG] [topic_index] self.chunk_embedding_store.insert_strings(docs) OK
[lifang535] [TAG] [topic_index] chunk_to_rows = self.chunk_embedding_store.get_all_id_to_rows() OK
[lifang535] [TAG] [topic_index] chunk_to_rows (type=<class 'dict'>)
[lifang535] [TAG] [topic_index] len(chunk_keys_to_process) > 0
[lifang535] [OpenIE] [batch_openie] chunk_passages (len=600): 
Lionel Messi
After a year at Barcelona's youth academy, La Masia, Messi was finally enrolled in the Royal Spanish Football Federation (RFEF) in February 2002. Now playing in all competitions, he befriended his teammates, among whom were Cesc Fàbregas and Gerard Piqué. After completing his growth hormone treatment aged 14, Messi became an integral part of the ``Baby Dream Team '', Barcelona's greatest - ever youth side. During his first full season (2002 -- 03), he was top scorer with 36 goals in 30 games for the Cadetes A, who won an unprecedented treble of the league and both the Spanish and Catalan cups. The Copa Catalunya final, a 4 -- 1 victory over Espanyol, became known in club lore as the partido de la máscara, the final of the mask. A week after suffering a broken cheekbone during a league match, Messi was allowed to start the game on the condition that he wear a plastic protector; soon hindered by the mask, he took it off and scored two goals in 10 minutes before his substitution. At the close of the season, he received an offer to join Arsenal, his first from a foreign club, but while Fàbregas and Piqué soon left for England, he chose to remain in Barcelona.
[lifang535] [OpenIE] [batch_openie] chunk_passages (key_type=<class 'str'>)
[lifang535] [OpenIE] [batch_openie] chunk_passages (value_type=<class 'str'>)
NER:  28%|███████▊                    | 167/600 [00:21<00:48,  8.85it/s, total_prompt_tokens=44304, total_completion_tokens=10150, num_cache_hit=0]WARNING:src.hipporag.information_extraction.openie_openai:RetryError[<Future at 0x7fe8ed5fc130 state=finished raised BadRequestError>]
NER:  68%|██████████████████▍        | 409/600 [00:49<00:20,  9.27it/s, total_prompt_tokens=107084, total_completion_tokens=25613, num_cache_hit=0]WARNING:src.hipporag.information_extraction.openie_openai:RetryError[<Future at 0x7fe6ea19c7f0 state=finished raised BadRequestError>]
NER: 100%|██████████████████████████| 600/600 [01:09<00:00,  8.58it/s, total_prompt_tokens=156335, total_completion_tokens=36760, num_cache_hit=17]
Extracting triples:  74%|████████▉   | 447/600 [00:55<00:17,  8.53it/s, total_prompt_tokens=272603, total_completion_tokens=85744, num_cache_hit=0]WARNING:src.hipporag.information_extraction.openie_openai:Exception for chunk chunk-5ff7f8ab2fc50688463ab16a8d816f1f: RetryError[<Future at 0x7fe6ea281870 state=finished raised BadRequestError>]
Extracting triples:  94%|██████████▎| 565/600 [01:09<00:04,  8.26it/s, total_prompt_tokens=343358, total_completion_tokens=107955, num_cache_hit=0]WARNING:src.hipporag.information_extraction.openie_openai:Exception for chunk chunk-c63ef69d492fa4cc80a8e332dbade29b: RetryError[<Future at 0x7fec84edd2a0 state=finished raised AssertionError>]
Extracting triples: 100%|███████████| 600/600 [01:24<00:00,  7.11it/s, total_prompt_tokens=364701, total_completion_tokens=115495, num_cache_hit=0]
[lifang535] [TAG] [topic_index] self.global_config.save_openie
INFO:src.hipporag.TAG:OpenIE results saved to outputs/musique/openie_results_ner_gpt-4o-mini.json
[lifang535] chunk_ids (type=<class 'list'>): 
['chunk-0f19b42d483dc05cd5a62ea7dffa0864', 'chunk-34b4763cffb110a8f304510900b4f691']
[lifang535] chunk_triples (type=<class 'list'>): 
[[['lionel messi', 'enrolled in', 'royal spanish football federation'], ['lionel messi', 'joined', 'barcelona s youth academy'], ['lionel messi', 'trained at', 'la masia'], ['lionel messi', 'befriended', 'cesc f bregas'], ['lionel messi', 'befriended', 'gerard piqu'], ['lionel messi', 'completed', 'growth hormone treatment'], ['lionel messi', 'became part of', 'baby dream team'], ['lionel messi', 'was top scorer in', '2002 03'], ['lionel messi', 'scored', '36 goals'], ['lionel messi', 'played for', 'cadetes a'], ['cadetes a', 'won', 'treble of the league and both the spanish and catalan cups'], ['copa catalunya', 'final', '4 1 victory over espanyol'], ['copa catalunya', 'became known as', 'partido de la m scara'], ['lionel messi', 'suffered', 'broken cheekbone'], ['lionel messi', 'received offer from', 'arsenal'], ['cesc f bregas', 'left for', 'england'], ['gerard piqu', 'left for', 'england'], ['lionel messi', 'chose to remain in', 'barcelona']], [['fc barcelona', 'finished', '2006 07 season without trophies'], ['fc barcelona', 'had', 'pre season us tour'], ['eto o', 'was', 'leading scorer'], ['lionel messi', 'was', 'rising star'], ['eto o', 'criticized', 'frank rijkaard'], ['eto o', 'criticized', 'ronaldinho'], ['ronaldinho', 'admitted', 'lack of fitness affected his form'], ['fc barcelona', 'were in', 'first place in la liga'], ['real madrid', 'overtook', 'fc barcelona'], ['fc barcelona', 'advanced to', 'semi finals of the copa del rey'], ['fc barcelona', 'won', 'first leg against getafe'], ['messi', 'scored', 'goal bringing comparison to diego maradona s goal of the century'], ['fc barcelona', 'lost', 'second leg 4 0'], ['fc barcelona', 'took part in', '2006 fifa club world cup'], ['fc barcelona', 'were beaten by', 'internacional'], ['fc barcelona', 'were knocked out of', 'champions league'], ['liverpool', 'were', 'eventual runners up']]]
[lifang535] entity_nodes (type=<class 'list'>): 
['', '0 7 million deaths']
[lifang535] chunk_triple_entities (type=<class 'list'>): 
[['4 1 victory over espanyol', 'copa catalunya', 'england', 'baby dream team', 'gerard piqu', 'barcelona s youth academy', 'cadetes a', 'cesc f bregas', 'lionel messi', 'arsenal', 'barcelona', '2002 03', 'broken cheekbone', 'growth hormone treatment', '36 goals', 'treble of the league and both the spanish and catalan cups', 'la masia', 'royal spanish football federation', 'partido de la m scara'], ['messi', 'champions league', 'second leg 4 0', 'internacional', 'eventual runners up', 'lionel messi', 'pre season us tour', 'eto o', 'first leg against getafe', 'liverpool', '2006 07 season without trophies', 'fc barcelona', 'rising star', 'ronaldinho', 'goal bringing comparison to diego maradona s goal of the century', 'real madrid', 'leading scorer', 'semi finals of the copa del rey', 'frank rijkaard', 'first place in la liga', '2006 fifa club world cup', 'lack of fitness affected his form']]
[lifang535] facts (type=<class 'list'>): 
[('waterways', 'are used for', 'ice navigation'), ('mark sloan', 'is a', 'fictional surgeon')]
INFO:src.hipporag.TAG:Encoding Entities
INFO:src.hipporag.embedding_store:Inserting 6111 new records, 0 records already exist.
Batch Encoding:   0%|                                                                                                     | 0/6111 [00:00<?, ?it/s]/data2-HDD-SATA-20T/nzq/huggingface_cache/modules/transformers_modules/nvidia/NV-Embed-v2/c50d55f43bde7e6a18e0eaa15a62fd63a930f1a1/modeling_nvembed.py:349: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
  'input_ids': torch.tensor(batch_dict.get('input_ids').to(batch_dict.get('input_ids')).long()),
/data2-HDD-SATA-20T/nzq/env/hipporag/lib/python3.10/contextlib.py:103: FutureWarning: `torch.backends.cuda.sdp_kernel()` is deprecated. In the future, this context manager will be removed. Please see `torch.nn.attention.sdpa_kernel()` for the new context manager, with updated signature.
  self.gen = func(*args, **kwds)
Batch Encoding: 6115it [01:06, 92.07it/s]                                                                                                          
INFO:src.hipporag.embedding_store:Saving new records.
INFO:src.hipporag.embedding_store:Saved 6111 records to outputs/musique/gpt-4o-mini_nvidia_NV-Embed-v2/entity_embeddings/vdb_entity.parquet
INFO:src.hipporag.TAG:Encoding Facts
INFO:src.hipporag.embedding_store:Inserting 6248 new records, 0 records already exist.
Batch Encoding: 6250it [01:39, 62.97it/s]                                                                                                          
INFO:src.hipporag.embedding_store:Saving new records.
INFO:src.hipporag.embedding_store:Saved 6248 records to outputs/musique/gpt-4o-mini_nvidia_NV-Embed-v2/fact_embeddings/vdb_fact.parquet
INFO:src.hipporag.TAG:Constructing Graph
INFO:src.hipporag.TAG:Adding OpenIE triples to graph.
600it [00:00, 25903.56it/s]
INFO:src.hipporag.TAG:Connecting passage nodes to phrase nodes.
600it [00:00, 69390.42it/s]
INFO:src.hipporag.TAG:Found 600 new chunks to save into graph.
INFO:src.hipporag.TAG:Expanding graph with synonymy edges
INFO:src.hipporag.TAG:Performing KNN retrieval for each phrase nodes (6111).
KNN for Queries: 100%|███████████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:03<00:00,  2.16it/s]
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 6111/6111 [00:00<00:00, 67336.74it/s]
INFO:src.hipporag.TAG:Graph construction completed!
{'num_phrase_nodes': 6111, 'num_passage_nodes': 600, 'num_total_nodes': 6711, 'num_extracted_triples': 6248, 'num_triples_with_passage_node': 7386, 'num_synonymy_triples': 20905, 'num_total_triples': 34539}
INFO:src.hipporag.TAG:Writing graph with 6711 nodes, 34535 edges
INFO:src.hipporag.TAG:Saving graph completed!
INFO:src.hipporag.TAG:Preparing for fast retrieval.
INFO:src.hipporag.TAG:Loading keys.
INFO:src.hipporag.TAG:Loading embeddings.
INFO:src.hipporag.TAG:Encoding 20 queries for query_to_fact.
Batch Encoding: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 43.62it/s]
INFO:src.hipporag.TAG:Encoding 20 queries for query_to_passage.
Batch Encoding: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 49.23it/s]
Retrieving: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:40<00:00,  2.00s/it]
INFO:src.hipporag.TAG:Total Retrieval Time 41.46s
INFO:src.hipporag.TAG:Total Recognition Memory Time 37.50s
INFO:src.hipporag.TAG:Total PPR Time 2.16s
INFO:src.hipporag.TAG:Total Misc Time 1.80s
INFO:src.hipporag.TAG:Evaluation results for retrieval: {'Recall@1': 0.35, 'Recall@2': 0.5333, 'Recall@5': 0.7792, 'Recall@10': 0.8792, 'Recall@20': 0.9292, 'Recall@30': 0.9583, 'Recall@50': 0.9583, 'Recall@100': 0.9833, 'Recall@150': 0.9833, 'Recall@200': 0.9833}
Collecting QA prompts: 100%|████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 12365.28it/s]
QA Reading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:40<00:00,  2.01s/it]
[lifang535] [TAG] [qa] qa_message: 
[{'role': 'system', 'content': 'As an advanced reading comprehension assistant, your task is to analyze text passages and corresponding questions meticulously. Your response start after "Thought: ", where you will methodically break down the reasoning process, illustrating how you arrive at conclusions. Conclude with "Answer: " to present a concise, definitive response, devoid of additional elaborations.'}, {'role': 'user', 'content': 'Wikipedia Title: The Last Horse\nThe Last Horse (Spanish:El último caballo) is a 1950 Spanish comedy film directed by Edgar Neville starring Fernando Fernán Gómez.\nWikipedia Title: Southampton\nThe University of Southampton, which was founded in 1862 and received its Royal Charter as a university in 1952, has over 22,000 students. The university is ranked in the top 100 research universities in the world in the Academic Ranking of World Universities 2010. In 2010, the THES - QS World University Rankings positioned the University of Southampton in the top 80 universities in the world. The university considers itself one of the top 5 research universities in the UK. The university has a global reputation for research into engineering sciences, oceanography, chemistry, cancer sciences, sound and vibration research, computer science and electronics, optoelectronics and textile conservation at the Textile Conservation Centre (which is due to close in October 2009.) It is also home to the National Oceanography Centre, Southampton (NOCS), the focus of Natural Environment Research Council-funded marine research.\nWikipedia Title: Stanton Township, Champaign County, Illinois\nStanton Township is a township in Champaign County, Illinois, USA. As of the 2010 census, its population was 505 and it contained 202 housing units.\nWikipedia Title: Neville A. Stanton\nNeville A. Stanton is a British Professor of Human Factors and Ergonomics at the University of Southampton. Prof Stanton is a Chartered Engineer (C.Eng), Chartered Psychologist (C.Psychol) and Chartered Ergonomist (C.ErgHF). He has written and edited over a forty books and over three hundered peer-reviewed journal papers on applications of the subject. Stanton is a Fellow of the British Psychological Society, a Fellow of The Institute of Ergonomics and Human Factors and a member of the Institution of Engineering and Technology. He has been published in academic journals including "Nature". He has also helped organisations design new human-machine interfaces, such as the Adaptive Cruise Control system for Jaguar Cars.\nWikipedia Title: Finding Nemo\nFinding Nemo Theatrical release poster Directed by Andrew Stanton Produced by Graham Walters Screenplay by Andrew Stanton Bob Peterson David Reynolds Story by Andrew Stanton Starring Albert Brooks Ellen DeGeneres Alexander Gould Willem Dafoe Music by Thomas Newman Cinematography Sharon Calahan Jeremy Lasky Edited by David Ian Salter Production company Walt Disney Pictures Pixar Animation Studios Distributed by Buena Vista Pictures Distribution Release date May 30, 2003 (2003 - 05 - 30) Running time 100 minutes Country United States Language English Budget $94 million Box office $940.3 million\n\nQuestion: When was Neville A. Stanton\'s employer founded?\nThought: '}, {'role': 'assistant', 'content': 'The employer of Neville A. Stanton is University of Southampton. The University of Southampton was founded in 1862. \nAnswer: 1862.'}, {'role': 'user', 'content': 'Wikipedia Title: FC Barcelona\nDespite being the favourites and starting strongly, Barcelona finished the 2006–07 season without trophies. A pre-season US tour was later blamed for a string of injuries to key players, including leading scorer Eto\'o and rising star Lionel Messi. There was open feuding as Eto\'o publicly criticized coach Frank Rijkaard and Ronaldinho. Ronaldinho also admitted that a lack of fitness affected his form. In La Liga, Barcelona were in first place for much of the season, but inconsistency in the New Year saw Real Madrid overtake them to become champions. Barcelona advanced to the semi-finals of the Copa del Rey, winning the first leg against Getafe 5–2, with a goal from Messi bringing comparison to Diego Maradona\'s goal of the century, but then lost the second leg 4–0. They took part in the 2006 FIFA Club World Cup, but were beaten by a late goal in the final against Brazilian side Internacional. In the Champions League, Barcelona were knocked out of the competition in the last 16 by eventual runners-up Liverpool on away goals.\n\nWikipedia Title: FC Barcelona\nBarcelona won the treble in the 2014–2015 season, winning La Liga, Copa del Rey and UEFA Champions League titles, and became the first European team to have won the treble twice. On 17 May, the club clinched their 23rd La Liga title after defeating Atlético Madrid. This was Barcelona\'s seventh La Liga title in the last ten years. On 30 May, the club defeated Athletic Bilbao in the Copa del Rey final at Camp Nou. On 6 June, Barcelona won the UEFA Champions League final with a 3–1 win against Juventus, which completed the treble, the club\'s second in 6 years. Barcelona\'s attacking trio of Messi, Suárez and Neymar, dubbed MSN, scored 122 goals in all competitions, the most in a season for an attacking trio in Spanish football history.\n\nWikipedia Title: Lionel Messi\nAfter a year at Barcelona\'s youth academy, La Masia, Messi was finally enrolled in the Royal Spanish Football Federation (RFEF) in February 2002. Now playing in all competitions, he befriended his teammates, among whom were Cesc Fàbregas and Gerard Piqué. After completing his growth hormone treatment aged 14, Messi became an integral part of the ``Baby Dream Team \'\', Barcelona\'s greatest - ever youth side. During his first full season (2002 -- 03), he was top scorer with 36 goals in 30 games for the Cadetes A, who won an unprecedented treble of the league and both the Spanish and Catalan cups. The Copa Catalunya final, a 4 -- 1 victory over Espanyol, became known in club lore as the partido de la máscara, the final of the mask. A week after suffering a broken cheekbone during a league match, Messi was allowed to start the game on the condition that he wear a plastic protector; soon hindered by the mask, he took it off and scored two goals in 10 minutes before his substitution. At the close of the season, he received an offer to join Arsenal, his first from a foreign club, but while Fàbregas and Piqué soon left for England, he chose to remain in Barcelona.\n\nWikipedia Title: Iker Muniain\nDue to his style of play and stature, he was dubbed "the Spanish Messi" by the media. He has spent all of his professional career with Athletic Bilbao after debuting in 2009 as their youngest player in a competitive match, making over 380 appearances for the club and reaching the finals of the Copa del Rey and Europa League in 2012.\n\nWikipedia Title: FC Barcelona\nIn June 1982, Diego Maradona was signed for a world record fee of £5 million from Boca Juniors. In the following season, under coach Luis, Barcelona won the Copa del Rey, beating Real Madrid. However, Maradona\'s time with Barcelona was short-lived and he soon left for Napoli. At the start of the 1984–85 season, Terry Venables was hired as manager and he won La Liga with noteworthy displays by German midfielder Bernd Schuster. The next season, he took the team to their second European Cup final, only to lose on penalties to Steaua Bucureşti during a dramatic evening in Seville.\n\nQuestion: When was the person who Messi\'s goals in Copa del Rey compared to get signed by Barcelona?\nThought: '}]
[lifang535] [TAG] [qa] qa_result: 
("The person whose goals Messi's were compared to is Diego Maradona. Maradona was signed by Barcelona in June 1982. Therefore, the comparison of Messi's goal to Maradona's goal of the century would have been made in the context of Messi's performance in the Copa del Rey during the 2006-07 season, but Maradona's signing date is what is being asked. \n\nAnswer: June 1982.", {'prompt_tokens': 1597, 'completion_tokens': 88, 'finish_reason': 'stop'}, False)
Extraction Answers from LLM Response: 20it [00:00, 168784.87it/s]
[lifang535] gold_answers is not None:
INFO:src.hipporag.TAG:Evaluation results for QA: {'ExactMatch': 0.5, 'F1': 0.6358}
