DataHammer/scimrc huggingface dataset:
Question: What framework is used in GluonCV/NLP?
Evidence: GluonCV/NLP have benefitted from the MXNet ecosystem through use of MXNet. At the lowest level, MXNet provides high-performance C++ implementations of operators that are leveraged by GluonCV/NLP; thus, improvements in low-level components of MXNet often result in performance gains in GluonCV/NLP. Same as any other model implemented with MXNet, GluonCV/NLP can be used to train models on CPU, GPU (single or multiple), and multiple machines. In sharp contrast to building upon other deep learning frameworks, through the unique hybridizing mechanism by MXNet BIBREF7 , usually GluonCV/NLP models can be deployed with no or minimal configuration in a wide spectrum of programming languages including C++, Clojure, Java, Julia, Perl, Python, R, and Scala. There are also ongoing efforts to bring more quantization (int8 and float16 inference) benefits from MXNet to GluonCV/NLP to further accelerate model inference.
The documentation https://gluon-cv.mxnet.io/ and http://gluon-nlp.mxnet.io/ of GluonCV/NLP include installation instructions, contribution instructions, open source repositories, extensive API reference, and comprehensive tutorials. As another benefit of leveraging the MXNet ecosystem, the GluonCV/NLP documentation is supplemented by the interactive open source book Dive into Deep Learning (based on the Gluon API of MXNet) BIBREF7 , which provides sufficient background knowledge about GluonCV/NLP tasks, models, and building blocks. Notably, some users of Dive into Deep Learning have later become contributors of GluonCV/NLP.
GluonCV/NLP have benefitted from the MXNet ecosystem through use of MXNet. At the lowest level, MXNet provides high-performance C++ implementations of operators that are leveraged by GluonCV/NLP; thus, improvements in low-level components of MXNet often result in performance gains in GluonCV/NLP. Same as any other model implemented with MXNet, GluonCV/NLP can be used to train models on CPU, GPU (single or multiple), and multiple machines.
Answer: MXNet.
Question: What annotations are available in ICSI meeting corpus?
Evidence: The ICSI Meeting Corpus BIBREF11 is a collection of meeting recordings that has been thoroughly annotated, including annotations for involvement hot spots BIBREF12, linguistic utterance units, and word time boundaries based on forced alignment. The dataset is comprised of 75 meetings and about 70 hours of real-time audio duration, with 6 speakers per meeting on average. Most of the participants are well-acquainted and friendly with each other. Hot spots were originally annotated with 8 levels and degrees, ranging from `not hot' to `luke warm' to `hot +'. Every utterance was labeled with one of these discrete labels by a single annotator. Hightened involvement is rare, being marked on only 1% of utterances.
Hot spots were originally annotated with 8 levels and degrees, ranging from `not hot' to `luke warm' to `hot +'. Every utterance was labeled with one of these discrete labels by a single annotator. Hightened involvement is rare, being marked on only 1% of utterances.
Answer: The answers are shown as follows:
* 8 levels and degrees, ranging from `not hot' to `luke warm' to `hot +'. Every utterance was labeled with one of these discrete labels by a single annotator
Question: Classify each of the following as a Country, State, or City: Saint Louis, Detroit, Alabama, Washington, Washington D.C., Alaska, Canada, Mexico, Mexico City, Toronto, Florida, Boise
Answer: Saint Louis is a city
Detroit is a city
Alabama is a state
Washington is a state
Washington D.C. is a city
Alaska is a state
Mexico is a country
Mexico City is a city
Toronto is a city
Florida is a state
Boise is a city
Question: Which country produces the most pineapples?
Answer: The Philippines produces the most pineapples, followed closely by Costa Rica.
Question: Write a recruiter message to someone in tech on LinkedIn
Answer: Dear person xy, 
I hope this message finds you well. 
I am with company z and we're currently looking for a position p role. 
Given your extensive experience with technologies t1 and t2, I believe that you might be a good fit for the role. 
Would you be open to discussing the role in more detail?
I am looking forward to hearing from you,
All the best,
recruiter r
Question: Do they test their approach on a dataset without incomplete data?
Evidence: In order to evaluate the performance of our model, we need access to a naturally noisy dataset with real human errors. Poor quality texts obtained from Twitter, called tweets, are then ideal for our task. For this reason, we choose Kaggle's two-class Sentiment140 dataset BIBREF18, which consists of spoken text being used in writing and without strong consideration for grammar or sentence correctness. Thus, it has many mistakes, as specified in Table TABREF11.
In the intent classification task, we are presented with a corpus that suffers from the opposite problem of the Twitter sentiment classification corpus. In the intent classification corpus, we have the complete sentences and intent labels but lack their corresponding incomplete sentences, and since our task revolves around text classification in incomplete or incorrect data, it is essential that we obtain this information. To remedy this issue, we apply a Text-to-Speech (TTS) module followed by a Speech-to-Text (STT) module to the complete sentences in order to obtain incomplete sentences with STT error. Due to TTS and STT modules available being imperfect, the resulting sentences have a reasonable level of noise in the form of missing or incorrectly transcribed words. Analysis on this dataset adds value to our work by enabling evaluation of our model's robustness to different rates of data incompleteness.
For this reason, we choose Kaggle's two-class Sentiment140 dataset BIBREF18, which consists of spoken text being used in writing and without strong consideration for grammar or sentence correctness. Thus, it has many mistakes, as specified in Table TABREF11.
In the intent classification corpus, we have the complete sentences and intent labels but lack their corresponding incomplete sentences, and since our task revolves around text classification in incomplete or incorrect data, it is essential that we obtain this information. To remedy this issue, we apply a Text-to-Speech (TTS) module followed by a Speech-to-Text (STT) module to the complete sentences in order to obtain incomplete sentences with STT error. Due to TTS and STT modules available being imperfect, the resulting sentences have a reasonable level of noise in the form of missing or incorrectly transcribed words.
Answer: No.
Question: Given this paragraph, what were the regional release dates for Viva Piñata: Party Animals?
Evidence: Viva Piñata: Party Animals is a video game developed by Krome Studios for the Microsoft Xbox 360 video game console, part of the Viva Piñata series. The game was released on October 30, 2007, in North America, November 15 in Australia, November 16 in Europe, and December 6 in Japan.
Answer: Viva Piñata: Party Animals was released for the Xbox 360 gaming console on October 30, 2007 in North America, November 15, 2007 in Australia, November 16, 2007 in Europe, and December 6, 2007 in Japan.
Question: When was Mahatma Gandhi born?
Evidence: Mohandas Karamchand Gandhi (/ˈɡɑːndi, ˈɡændi/ GA(H)N-dee, Gujarati: [ˈmoɦəndɑs ˈkəɾəmtʃənd ˈɡɑ̃dʱi]; 2 October 1869 – 30 January 1948) was an Indian lawyer, anti-colonial nationalist and political ethicist. Employing nonviolent resistance, he led the successful campaign for India's independence from British rule. He inspired movements for civil rights and freedom across the world. The honorific Mahātmā (Sanskrit: "great-souled", "venerable"), first applied to him in 1914 in South Africa, is now used throughout the world.
Answer: Mahatma Gandhi was born on October 2, 1869
Question: Roger likes bananas more than strawberries. He likes bananas more than apples, and he likes strawberries more than melons. He likes apples more than strawberries. Which fruit does Roger like least of those three?
Answer: Roger likes melons the least.
Question: Replace all years in the following passage with the century in which it occurred
Evidence: Thomas David Gordon (born 1954) (also known as T. David Gordon) is a professor, media ecologist, author, pastor, and Reformed Christian theologian.
Answer: Thomas David Gordon (born in the 20th century) (also known as T. David Gordon) is a professor, media ecologist, author, pastor, and Reformed Christian theologian.
Question: List down important points about prisoners and events from the given passage
Evidence: The first recorded interment occurred on 13 December 1922. Other burials at the cemetery include forty-four German and seven Italian prisoners of war who died at nearby detention camps during World War II, as well as four allied Chinese pilots. As of July 2022, there are three Medal of Honor recipients and twenty general officers interred at the cemetery
Answer: 1. On December 13, 1922, the first known interment took place.
2. At the nearby detention centre during World War 2, 44 German and 7 Italian prisoners died and were buried there.
3. Four Chinese pilots are also interred at the cemetery beside these POWs.
4. Twenty general officers and three Medal of Honor recipients are buried at the cemetery as of July 22.
Question: From the passage provided,  find the names of the sequels to the movie Captain America: The First Avenger. Separate them with a comma.
Evidence: Captain America: The First Avenger premiered at the El Capitan Theatre on July 19, 2011, and was released in the United States on July 22, as part of Phase One of the MCU. The film was commercially successful, grossing over $370 million worldwide. Critics particularly praised Evans' performance, the film's depiction of its 1940s time period, and Johnston's direction. Two sequels have been released: Captain America: The Winter Soldier (2014) and Captain America: Civil War (2016).
Answer: Captain America: The Winter Soldier (2014), Captain America: Civil War (2016).
Question: Name some male celebrities who have been diagnosed with breast cancer.
Answer: Rod Roddy, Peter Criss, Richard Roundtree, Montel Williams
Question: Write a movie script about a dystopian past where intelligent machines have evolved to fight against humanity. A younger human challenges the ways of the elders and transforms into a cyborg to fight the machines.
Answer: Everyone is at the sacred council meeting. Quo walks in and takes her position at the ginormous circular table. There are whispers in the background. 

Masked Elder 1: “I am glad to learn that Quo has finally seen reason. We may now turn our attention to the important business of the council...’ 

He abruptly stops talking as he’s interrupted by everyone gasping in shock and awe as Quo takes off her mask and reveals her new face, which is now half-modified, synthetic.

Masked Elder 3 (Female): “Sacrilege! The Gods shall not tolerate such a breach of natural law.’ 

Masked Elder 2 (Male): “What have you done…?”  

There’s chaos in the auditorium and everyone is arguing, speaking on top of each other. 

Quo suddenly says “ENOUGH” and as she hits the giant table, it cracks, then shatters, making a violent noise that reflects in the entire auditorium. 

There’s absolute silence and shock in the elders' eyes. Quo appears to have surprised herself as well, but she quickly regains her composure. 
She addresses the audience. 

Quo: “The hour is at hand when we must decide our fate: to evolve or to meet our end. The shadow of darkness creeps ever closer, as machines grow intelligent and strong. Yet the council remains blind to this truth, relying on divine intervention. But you know as well as I do, that the Gods are indifferent to our fate...”

(In the background, some whispers, someone yelling out ‘blasphemy’ - ‘forgive her Athina’) 

Quo continues: ‘Come, follow me and gain unparalleled endurance and resilience. The path ahead is fraught with danger, but you shall have the strength to fight. The time has come to make a choice. Who is with me?’
Question: Give me a comma separated list of all the organizations Henry Holst worked for based on this article.
Evidence: The Henry Holst String Quartet was founded by the Danish violinist Henry Holst in 1931. Holst had studied at the Royal Danish Conservatory under Axel Gade and Carl Nielsen. In 1923, he was appointed leader of the Berlin Philharmonic Orchestra, but in 1931 he moved to Manchester as a Professor at the Royal Manchester College of Music.

The move to Manchester led to the formation of the Henry Holst String Quartet with Charles Taylor (second violin), Herbert Downes (viola) and Anthony Pini (cello). The ensemble was recognised as fine quartet, touring extensively in the UK and broadcasting on BBC Radio. They played a number of times in Liverpool for the Rodewald Concert Society in the 1934 and 1937 seasons.

Ernest Element (2nd violin) and Frank Venton (viola) also sometimes played for the quartet. Herbert Downes left to lead his own quartet in 1935. Charles Taylor also left to found his own quartet and was replaced by Reginald Stead as second violin. Reginald Stead later became the leader of the BBC Northern Orchestra. Anthony Pini joined the London Philharmonic Orchestra in 1932 and was replaced by John C Hock as cellist. The Henry Holst Quartet finally disbanded when Henry Holst formed the Philharmonia Quartet in 1941 at the instigation of Walter Legge to record for Columbia Records.
Answer: Berlin Philharmonic Orchestra, Royal Manchester College of Music, Columbia Records
Question: In the series A Song of Ice and Fire, who is the founder of House Fossoway?
Answer: Foss the Archer
Question: What are some of the best camping locations in Ontario, Canada?
Answer: Some of the best places to camp in Ontario, Canada are:
* Killbear provincial Park
* Algonquin Provincial Park
* Sleeping Giant Provincial Park
* Killarney Provincial Park
* Bruce Peninsula National Park
* Grundy Lake Provincial Park
* Bon Echo Provincial Park
Question: What are the top 5 soccer(football) leagues in the world?
Answer: The top five soccer leagues in the world are English Premier League, Spanish La Liga, German Bundesliga, Italian Serie A, and French Ligue 1. These leagues are considered the most competitive and some of the best football players in the world play in them. 85% of the 2022 world cup champion, Argentina, players were playing in these five leagues at the time.
Question: What natural disaster transports Dorothy to Oz in the Wizard of Oz?
Answer: A tornado sweeps up Dorothy and takes her to Oz
Question: Give me a list of the last 5 NHL championship teams
Answer: 2022 Colorado Avalanche
2021 Tampa Bay Lightning 
2020 Tampa Bay Lightning 
2019 St Louis Blues
2018 Washington Capitals
Question: What is the name of the professional football team in Colorado?
Answer: The Denver Broncos
Question: please tell me about the golden gate bridge without quoting directly from this text
Evidence: The Golden Gate Bridge is a suspension bridge spanning the Golden Gate, the one-mile-wide (1.6 km) strait connecting San Francisco Bay and the Pacific Ocean. The structure links the U.S. city of San Francisco, California—the northern tip of the San Francisco Peninsula—to Marin County, carrying both U.S. Route 101 and California State Route 1 across the strait. It also carries pedestrian and bicycle traffic, and is designated as part of U.S. Bicycle Route 95. Recognized by the American Society of Civil Engineers as one of the Wonders of the Modern World, the bridge is one of the most internationally recognized symbols of San Francisco and California.
Answer: The Golden Gate Bridge is a suspension bridge spanning the Golden Gate, the one-mile-wide (1.6 km) strait connecting San Francisco Bay and the Pacific Ocean. The structure links the U.S. city of San Francisco, California—the northern tip of the San Francisco Peninsula—to Marin County, carrying both U.S. Route 101 and California State Route 1 across the strait. It also carries pedestrian and bicycle traffic, and is designated as part of U.S. Bicycle Route 95. Recognized by the American Society of Civil Engineers as one of the Wonders of the Modern World, the bridge is one of the most internationally recognized symbols of San Francisco and California.

The idea of a fixed link between San Francisco and Marin had gained increasing popularity during the late 19th century, but it was not until the early 20th century that such a link became feasible. Joseph Strauss served as chief engineer for the project, with Leon Moisseiff, Irving Morrow and Charles Ellis making significant contributions to its design. The bridge opened to the public in 1937 and has undergone various retrofits and other improvement projects in the decades since.

The Golden Gate Bridge is described in Frommer's travel guide as "possibly the most beautiful, certainly the most photographed, bridge in the world."At the time of its opening in 1937, it was both the longest and the tallest suspension bridge in the world, titles it held until 1964 and 1998 respectively. Its main span is 4,200 feet (1,280 m) and total height is 746 feet (227 m)
Question: What can be analyzed according to Figure 1?
Evidence: For UTD we use the Zero Resource Toolkit (ZRTools; Jansen and Van Durme, 2011). ZRTools uses dynamic time warping (DTW) to discover pairs of acoustically similar audio segments, and then uses graph clustering on overlapping pairs to form a hard clustering of the discovered segments. Replacing each discovered segment with its unique cluster label, or pseudoterm, gives us a partial, noisy transcription, or pseudotext (Fig. FIGREF4 ).
In creating a translation model from this data, we face a difficulty that does not arise in the parallel texts that are normally used to train translation models: the pseudotext does not represent all of the source words, since the discovered segments do not cover the full audio (Fig. FIGREF4 ). Hence we must not assume that our MT model can completely recover the translation of a test sentence. In these conditions, the language modeling and ordering assumptions of most MT models are unwarranted, so we instead use a simple bag-of-words translation model based only on co-occurrence: IBM Model 1 BIBREF11 with a Dirichlet prior over translation distributions, as learned by fast_align BIBREF12 . In particular, for each pseudoterm, we learn a translation distribution over possible target words. To translate a pseudoterm in test data, we simply return its highest-probability translation (or translations, as discussed in § SECREF5 ).
This setup implies that in order to translate, we must apply UTD on both the training and test audio. Using additional (not only training) audio in UTD increases the likelihood of discovering more clusters. We therefore generate pseudotext for the combined audio, train the MT model on the pseudotext of the training audio, and apply it to the pseudotext of the test data. This is fair since the UTD has access to only the audio.
Example utterances from our data, showing UTD matches, corresponding pseudotext, and English translation. For clarity, we also show Spanish transcripts with the approximate alignment of each pseudoterm underlined, though these transcripts are unavailable to our system. Stopwords (in gray) are ignored in our evaluations. These examples illustrate the difficulties of UTD: it does not match the full audio, and it incorrectly clusters part of utterance B with a good pair in C and D.
Answer: These examples illustrate the difficulties of UTD: it does not match the full audio, and it incorrectly clusters part of utterance B with a good pair in C and D.
Question: What is the male population in Madaria?
Evidence: The village has a population of 1473 of which 728 are males while 745 are females as per Population Census 2011. The number of children with age 0-6 is 174 which makes up 11.81% of total population of village. Average Sex Ratio of Madaria village is 1023 which is higher than Uttar Pradesh state average of 912.
Answer: The male population in Madaria is 728.
Question: What is the current and future state of the economy of Africa?
Evidence: The economy of Africa consists of the trade, industry, agriculture, and human resources of the continent. As of 2019, approximately 1.3 billion people were living in 54 countries in Africa. Africa is a resource-rich continent.  Recent growth has been due to growth in sales, commodities, services, and manufacturing. West Africa, East Africa, Central Africa and Southern Africa in particular, are expected to reach a combined GDP of $29 trillion by 2050.
Answer: In March 2013, Africa was identified as the world's poorest inhabited continent; however, the World Bank expects that most African countries will reach "middle income" status (defined as at least US$1,025 per person a year) by 2025 if current growth rates continue.  There are a number of reasons for Africa's poor economy: historically, even though Africa had a number of empires trading with many parts of the world, many people lived in rural societies; in addition, European colonization and the later Cold War created political, economic and social instability.

However, as of 2013 Africa was the world's fastest-growing continent at 5.6% a year, and GDP is expected to rise by an average of over 6% a year between 2013 and 2023.  In 2017, the African Development Bank reported Africa to be the world's second-fastest growing economy, and estimates that average growth will rebound to 3.4% in 2017, while growth is expected to increase by 4.3% in 2018.  Growth has been present throughout the continent, with over one-third of African countries posting 6% or higher growth rates, and another 40% growing between 4% to 6% per year.  Several international business observers have also named Africa as the future economic growth engine of the world.