Scheduled Commit
Browse files
data/retrieval_individual-f36c9f97-e795-4522-8eb7-7dee254b42c7.jsonl
CHANGED
@@ -363,3 +363,5 @@
|
|
363 |
{"tstamp": 1723687426.6471, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723687424.4888, "finish": 1723687426.6471, "ip": "", "conv_id": "893229cb3ec146f08f260faf97d3f551", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Abandoned cart retargerting", "output": [["Abandoned cart retargerting", "Shopping cart\n\nElectronic and magnetic Electronic systems are sometimes used by retailers. Each shopping cart is fitted with an electronic locking wheel clamp, or \"boot\". A transmitter with a thin wire is placed around the perimeter of the parking lot, and the boot locks when the cart leaves the designated area. Store personnel must then deactivate the lock with a handheld remote control to return the cart to stock. Often, a line is painted in front of the broadcast range to warn customers that their cart will stop when rolled past the line. However, these systems are very expensive to install and although helpful, are not foolproof. The wheels can be lifted over the electronic barrier and/or pushed hard enough that the locks break. There are also safety concerns if the person pushing the trolley is running, and also if the trolley doesn't lock and is taken onto a road, locking due to magnetic materials under the road. Some cities have required retailers to install locking wheel systems on their shopping carts. In some cases, electronic systems companies have encouraged passage of such laws to create a captive audience of potential customers.\nPhysical\nA low-tech form of theft prevention utilizes a physical impediment, such as vertical posts at the store entrance to keep carts from being taken into the parking lot. This method also impedes physically disabled customers, which may be illegal in many jurisdictions. For example, in the United States it would be a violation of the Americans with Disabilities Act of 1990."]], "corpus": "wikipedia"}
|
364 |
{"tstamp": 1723687547.1365, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1723687546.9485, "finish": 1723687547.1365, "ip": "", "conv_id": "7c49bfe3653b4fa4944dcb8026b8078e", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "Automatic customer follow up", "output": [["Automatic customer follow up", "Title: Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing\n\nAbstract: Customer experience plays a critical role for a profitable organisation or company. A satisfied customer for a company corresponds to higher rates of customer retention, and better representation in the market. One way to improve customer experience is to optimize the functionality of its call center. In this work, we have collaborated with the largest provider of telecommunications and Internet access in the country, and we formulate the customer-agent pairing problem as a machine learning problem. The proposed learning-based method causes a significant improvement in performance of about $215\\%$ compared to a rule-based method."]], "corpus": "arxiv"}
|
365 |
{"tstamp": 1723687547.1365, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1723687546.9485, "finish": 1723687547.1365, "ip": "", "conv_id": "645dfee15ed047849cca81f10a31f707", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "Automatic customer follow up", "output": [["Automatic customer follow up", "Title: Intent Matching based Customer Services Chatbot with Natural Language Understanding\n\nAbstract: Customer service is the lifeblood of any business. Excellent customer service not only generates return business but also creates new customers. Looking at the demanding market to provide a 24/7 service to customers, many organisations are increasingly engaged in popular social media and text messaging platforms such as WhatsApp and Facebook Messenger in providing a 24/7 service to customers in the current demanding market. In this paper, we present an intent matching based customer services chatbot (IMCSC), which is capable of replacing the customer service work of sales personnel, whilst interacting in a more natural and human-like manner through the employment of Natural Language Understanding (NLU). The bot is able to answer the most common frequently asked questions and we have also integrated features for the processing and exporting of customer orders to a Google Sheet."]], "corpus": "arxiv"}
|
|
|
|
|
|
363 |
{"tstamp": 1723687426.6471, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723687424.4888, "finish": 1723687426.6471, "ip": "", "conv_id": "893229cb3ec146f08f260faf97d3f551", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Abandoned cart retargerting", "output": [["Abandoned cart retargerting", "Shopping cart\n\nElectronic and magnetic Electronic systems are sometimes used by retailers. Each shopping cart is fitted with an electronic locking wheel clamp, or \"boot\". A transmitter with a thin wire is placed around the perimeter of the parking lot, and the boot locks when the cart leaves the designated area. Store personnel must then deactivate the lock with a handheld remote control to return the cart to stock. Often, a line is painted in front of the broadcast range to warn customers that their cart will stop when rolled past the line. However, these systems are very expensive to install and although helpful, are not foolproof. The wheels can be lifted over the electronic barrier and/or pushed hard enough that the locks break. There are also safety concerns if the person pushing the trolley is running, and also if the trolley doesn't lock and is taken onto a road, locking due to magnetic materials under the road. Some cities have required retailers to install locking wheel systems on their shopping carts. In some cases, electronic systems companies have encouraged passage of such laws to create a captive audience of potential customers.\nPhysical\nA low-tech form of theft prevention utilizes a physical impediment, such as vertical posts at the store entrance to keep carts from being taken into the parking lot. This method also impedes physically disabled customers, which may be illegal in many jurisdictions. For example, in the United States it would be a violation of the Americans with Disabilities Act of 1990."]], "corpus": "wikipedia"}
|
364 |
{"tstamp": 1723687547.1365, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1723687546.9485, "finish": 1723687547.1365, "ip": "", "conv_id": "7c49bfe3653b4fa4944dcb8026b8078e", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "Automatic customer follow up", "output": [["Automatic customer follow up", "Title: Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing\n\nAbstract: Customer experience plays a critical role for a profitable organisation or company. A satisfied customer for a company corresponds to higher rates of customer retention, and better representation in the market. One way to improve customer experience is to optimize the functionality of its call center. In this work, we have collaborated with the largest provider of telecommunications and Internet access in the country, and we formulate the customer-agent pairing problem as a machine learning problem. The proposed learning-based method causes a significant improvement in performance of about $215\\%$ compared to a rule-based method."]], "corpus": "arxiv"}
|
365 |
{"tstamp": 1723687547.1365, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1723687546.9485, "finish": 1723687547.1365, "ip": "", "conv_id": "645dfee15ed047849cca81f10a31f707", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "Automatic customer follow up", "output": [["Automatic customer follow up", "Title: Intent Matching based Customer Services Chatbot with Natural Language Understanding\n\nAbstract: Customer service is the lifeblood of any business. Excellent customer service not only generates return business but also creates new customers. Looking at the demanding market to provide a 24/7 service to customers, many organisations are increasingly engaged in popular social media and text messaging platforms such as WhatsApp and Facebook Messenger in providing a 24/7 service to customers in the current demanding market. In this paper, we present an intent matching based customer services chatbot (IMCSC), which is capable of replacing the customer service work of sales personnel, whilst interacting in a more natural and human-like manner through the employment of Natural Language Understanding (NLU). The bot is able to answer the most common frequently asked questions and we have also integrated features for the processing and exporting of customer orders to a Google Sheet."]], "corpus": "arxiv"}
|
366 |
+
{"tstamp": 1723691457.0512, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1723691456.5476, "finish": 1723691457.0512, "ip": "", "conv_id": "751d5e8350fd4bf1b26190e1d0fbf381", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "who is the writer of 50 shades of grey", "output": [["who is the writer of 50 shades of grey", "Fifty Shades of Grey (film)\n\nFifty Shades of Grey is a 2015 American erotic romantic drama film directed by Sam Taylor-Johnson from a screenplay by Kelly Marcel. Produced by Focus Features, Michael De Luca Productions, and Trigger Street Productions, and distributed by Universal Pictures, it is based on E. L. James' 2011 novel of the same name, and serves as the first installment in the Fifty Shades film series. Starring Dakota Johnson, Jamie Dornan, Jennifer Ehle and Marcia Gay Harden, the film's story follows Anastasia \"Ana\" Steele (Johnson), a college graduate, who begins a sadomasochistic relationship with young business magnate Christian Grey (Dornan).\nDevelopment of the film commenced in March 2012, when Universal and Focus Features secured the rights to the trilogy following a bidding war. After Marcel was hired to write the film's screenplay, multiple directors, including Joe Wright, Patty Jenkins, Bill Condon, Bennett Miller, and Steven Soderbergh, were attached to the film. Taylor-Johnson was confirmed as the director in June 2013. She cited 9½ Weeks (1986), Last Tango in Paris (1972), and Blue Is the Warmest Colour (2013) as her inspirations for the film. The main cast joined the project between October and December 2013. Principal photography commenced in December 2013 and concluded in February 2014. Reshoots involving scenes between Dornan and Johnson took place in Vancouver during the week of October 2014. Danny Elfman was hired to compose the film's score."]], "corpus": "wikipedia"}
|
367 |
+
{"tstamp": 1723691457.0512, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723691456.5476, "finish": 1723691457.0512, "ip": "", "conv_id": "15863f028cfd4e2c9d54540758fd4246", "model_name": "text-embedding-3-large", "prompt": "who is the writer of 50 shades of grey", "output": [["who is the writer of 50 shades of grey", "E. L. James\n\nErika Mitchell (born 7 March 1963), known by her pen name E. L. James, is a British author. She wrote the best-selling Fifty Shades series of erotic romance novels, which spawned a multimedia franchise including a film trilogy of the same name. Prior to this, she wrote the Twilight fan fiction \"Master of the Universe\" that served as the basis for the Fifty Shades series under the web name Snowqueens Icedragon. In 2019 she published her first book unconnected with the fictional world of Fifty Shades, The Mister, to negative critical reaction.\nThe Fifty Shades novels have sold over 150 million copies worldwide, over 35 million copies in the United States and set the record in the United Kingdom as the fastest selling paperback of all time. In 2012, Time magazine named her one of \"The World's 100 Most Influential People\"."]], "corpus": "wikipedia"}
|