DataHammer/scimrc huggingface dataset:
Question: Tell me a bulleted list of events that happened in this paragraph grouped by year
Evidence: The Purdue University football team traces its origin back to October 29, 1887, when its team fell to Butler College by a score of 48–6 in Indianapolis, Indiana. A group of students at Purdue University formed the school's first football team in 1887. Albert Berg was hired as the coach. Despite being deaf, Berg was reportedly "the only man in the territory with any knowledge of the game." Berg was 23 years old when he became Purdue's football "coacher." He was paid $1 for each lesson he gave to the newly organized football team and had only one week to prepare the team for its first game. The 1887 Purdue team played its only game on October 29, 1887, against the Butler College team at Athletic Park in Indianapolis. Butler soundly defeated Berg's squad by a score of 48–6. After the loss to Butler, Purdue did not field a football team again until 1889.
Answer: Sure, here is a bulleted list of events that happened in the mentioned paragraph grouped by year:

1887
* A group of students at Purdue University formed the school's first football team
* Albert Berg was hired as the coach
* On October 29, 1887, Purdue University football team fell to Butler College by a score of 48–6 in Indianapolis, Indiana

1889
* First time that Purdue fielded a football team since their loss to Butler College on October 29, 1887
Question: Do they impose any grammatical constraints over the generated output?
Evidence: In the TCM prescription generation task, the textual symptom descriptions can be seen as the question and the aim of the task is to produce a set of TCM herbs that form a prescription as the answer to the question. However, the set of herbs is different from the textual answers to a question in the QA task. A difference that is most evident is that there will not be any duplication of herbs in the prescription. However, the basic seq2seq model sometimes produces the same herb tokens repeatedly when applied to the TCM prescription generation task. This phenomenon can hurt the performance of recall rate even after applying a post-process to eliminate repetitions. Because in a limited length of the prescription , the model would produce the same token over and over again, rather than real and novel ones. Furthermore, the basic seq2seq assumes a strict order between generated tokens, but in reality, we should not severely punish the model when it predicts the correct tokens in the wrong order. In this paper, we explore to automatically generate TCM prescriptions based on textual symptoms. We propose a soft seq2seq model with coverage mechanism and a novel soft loss function. The coverage mechanism is designed to make the model aware of the herbs that have already been generated while the soft loss function is to relieve the side effect of strict order assumption. In the experiment results, our proposed model beats all the baselines in professional evaluations, and we observe a large increase in both the recall rate and the F1 score compared with the basic seq2seq model.
Furthermore, the basic seq2seq assumes a strict order between generated tokens, but in reality, we should not severely punish the model when it predicts the correct tokens in the wrong order.
Answer: No.
Question: Who was the Apostle Paul?
Answer: Apostle Paul, who was also known as Saint Paul, was a Christian Apostle who spread the teachings of Jesus Christ. According to the book of Acts in the bible, Paul was Pharisees and lead persecution of early disciples of Jesus. He encountered Jesus on the road to Damascus to find Christians there and bring them bound to Jerusalem. But on his way a light brighter than a sun shone around him and those with him from heaven at mid day. Then he fell to the ground and heard a voice, "Saul, saul, why are you persecuting me?". and he said "who are you?" then the lord said, "I am Jesus, whom you are persecuting. It is hard for you to kick against the goads." Paul asked "What do you want me to do?" then the lord said "Arise and go into the city, and you will be told what you must do." Having been made blind, he was lead to the city and days later his sight was restored by Ananias of Damascus. Then Paul was baptized and immediately started to proclaim Christian message. He proclaimed mainly to the gentiles and he is also known as an Apostle to the gentiles.  He planted several churches in Galatia, Philippi, Thessalonika, Corinth and Ephesus.Thirteen or Fourteen of the twenty seven books in the new Testament was written by Paul through the guidance of the holy spirit.
Question: Tell me about StarCraft.
Evidence: StarCraft is a real-time strategy video game developed and published by Blizzard Entertainment for Microsoft Windows. The first installment of the video game series of the same name, it was released in 1998. A Classic Mac OS version was released in 1999, and a Nintendo 64 port co-developed with Mass Media and published by Nintendo was released in 2000.

Blizzard started work on the game shortly after Warcraft II, another real-time strategy game, was released in 1995. The first incarnation debuted at the 1996 Electronic Entertainment Expo, where it was unfavorably compared to Warcraft II. As a result, the project was entirely overhauled before being showcased to the public in early 1997, at which time it received a far more positive response. The game's multiplayer is particularly popular in South Korea, where players and teams participate in professional competitions, earn sponsorships, and compete in televised tournaments.

Set in a fictitious future timeline during the 25th century AD in a distant part of the Milky Way galaxy known as the Koprulu Sector, the game revolves around three intelligent species fighting for dominance: the Terrans are humans exiled from Earth who are now skilled at adapting to any situation; the Zerg are a race of insectoid aliens in pursuit of genetic perfection and obsessed with assimilating other races; the Protoss are a humanoid species with advanced technology and psionic abilities who are attempting to preserve their civilization and strict philosophy about their way of life from the Zerg.

Many journalists of the video game industry have praised StarCraft as one of the most important, and one of the greatest video games of all time. The game is also said to have raised the bar for developing real-time strategy (RTS) games. With more than 11 million copies sold worldwide by February 2009, StarCraft became one of the best-selling games for the personal computer. It has been praised for pioneering the use of unique factions in RTS gameplay, and for having a compelling story.

StarCraft has had its storyline adapted and expanded through a series of novels published between 2000 and 2016, the expansion pack StarCraft: Brood War, and two officially authorized add-ons, Insurrection and Retribution. A sequel, StarCraft II: Wings of Liberty, was released in July 2010, along with two expansion packs and a campaign pack between 2013 and 2016, while a remastered edition of the original and its expansion pack was released in August 2017. The original game, along with the expansion, was released for free in April 2017.
Answer: StarCraft is a Real Time Strategy game released in 1998 by Blizzard Entertainment. It is widely considered one of the greatest video games of all time. The story is set in the 25th century and features three races struggling for power: Terran, Zerg, and Protoss. There have been one sequel and multiple expansions. The multiplayer mode was very popular, spawning professional competitions.
Question: Tell me which of the following guitars are hollow bodies or not: Gibson ES-175, Gibson ES-335, Gibson SG, Gibson Les Paul, Fender Stratocaster, Fender Telecaster.
Answer: Gibson ES-175 is one of the most famous examples of a well-crafted hollow-body guitar, beloved by numerous jazz guitarists over many decades. Most variants of Gibson's SG, Les Paul, and Fender's Stratocaster and Telecaster are considered solid bodies. However, there were numerous variant models which featured "hollowed" or "chambered" bodies. One prime example is Fender's Telecaster Thinline model from the 1970's, which features a semi-hollow design with an open f-hole on only one side of the body. Speaking of "semi-hollows," Gibson's ES-335 is a semi-hollow body guitar where a solid "center block" of wood passes through the middle of the body, providing additional structural stability over full hollow body guitars.
Question: What standard large speaker verification corpora is used for evaluation?
Evidence: The Business Language Testing Service (BULATS) test of Cambridge Assessment English BIBREF27 is a multi-level computer-based English test. It consists of read speech and free-speaking components, with the candidate responding to prompts. The BULATS spoken test has five sections, all with materials appropriate to business scenarios. The first section (A) contains eight questions about the candidate and their work. The second section (B) is a read-aloud section in which the candidates are asked to read eight sentences. The last three sections (C, D and E) have longer utterances of spontaneous speech elicited by prompts. In section C the candidates are asked to talk for one minute about a prompted business related topic. In section D, the candidate has one minute to describe a business situation illustrated in graphs or charts, such as pie or bar charts. The prompt for section E asks the candidate to imagine they are in a specific conversation and to respond to questions they may be asked in that situation (e.g. advice about planning a conference). This section is made up of 5x 20 seconds responses.
In this work, non-native speech from the BULATS test is used as both training and test data for the speaker verification systems. To investigate how the systems generalise, data for testing is also taken from the Cambridge Assessment English Linguaskill online test. Like BULATS, this is also a multi-level test and has a similar format composed of the same five sections as described before but assesses general English ability.
The Business Language Testing Service (BULATS) test of Cambridge Assessment English BIBREF27 is a multi-level computer-based English test. It consists of read speech and free-speaking components, with the candidate responding to prompts. The BULATS spoken test has five sections, all with materials appropriate to business scenarios. 
In this work, non-native speech from the BULATS test is used as both training and test data for the speaker verification systems. To investigate how the systems generalise, data for testing is also taken from the Cambridge Assessment English Linguaskill online test. Like BULATS, this is also a multi-level test and has a similar format composed of the same five sections as described before but assesses general English ability.
Answer: The answers are shown as follows:
* non-native speech from the BULATS test
Question: Summarize the battle of Pävankhind.
Evidence: Battle of Pävankhind was a rearguard last stand that took place on 13 July 1660, at a mountain pass in the vicinity of fort Vishalgad, near the city of Kolhapur with the Maratha warrior Baji Prabhu Deshpande and Sambhu Singh Jadhav against Siddi Masud of the Bijapur Sultanate. The engagement ended with the destruction of the Maratha forces, and a tactical victory for the Bijapur Sultanate that failed to achieve a strategic victory.
Answer: In 1660, Shivaji Maharaj was trapped in the fort of Panhala, under siege and vastly outnumbered by an Adilshah army led by an Abyssinian General called Siddi Masud. Shivaji Maharaj planned to escape to the Maratha fort of Vishalgad. Two Maratha sardars under the Adilshahi General Siddi Jouhar, namely Suryarao Surve and Jaswantrao Dalvi had also encircled the fort of Vishalgad simultaneously. Shivaji Maharaj waited for months, planning and depleting the Adilshah's food source.

Shivaji Maharaj, Baji Prabhu, and around 600 of their best troops, would dash through the Adilshahi force at night. A man named Shiva Kashid, who resembled Shivaji Maharaj in appearance, had volunteered to dress like the king and get captured. This bought some additional time due to the confusion over identity, before Siddi Masud realised the error and gave chase.


Baji Prabhu Deshpande Statue in Panhala Fort
Shivaji Maharaj made his escape on the dark night of 13 July, with his troops and the Adilshah army was in pursuit with an army of 10,000. It was clear that there was no way to shake off the enemy, and that the Marathas would not simultaneously prevail over both the Moghul garrison at Vishalgad and the chasing Adilshahi army.

The only option was for a section of the Marathas to stay back and fight the larger Adilshahi forces in a rearguard action, while the rest of the Marathas would carry on to their destination. Shivaji Maharaj decided to split his forces. Baji Prabhu agreed to face the troops of Bijapur with 300 soldiers. Shivaji Maharaj told Baji Prabhu that he would hear cannons being fired 5 times from Vishalgad, signaling Shivaji Maharaj’s safety. The strategic position of Ghod Khind (Horse Pass) was chosen for the defence, as it was very narrow and only a few soldiers could pass at any one time.
Question: What are the primary causes of inflation?
Answer: The 5 causes of inflation are increase in wages, increase in the price of raw materials, increase in taxes, decline in productivity, increase in money supply.
Question: What activities an admin or an administrator of any data tools & platform or data tools can do?
Answer: An administrator in general is someone who has can perform more elevated operations, they will have all access. As the famous quote goes "With great power, comes great responsibility". With custom encryption keys and ability to encrypt data it is now possible to encrypt data being processed in the platform which will not be accessible/visible by the administrator.
Question: What is used to represent each target type in order to fit target embeddings smoothly into the architecture?
Evidence: Finally we test whether the target really needs to be represented by natural language (e.g. “Do you support X?”). Namely, an alternative is to represent the target with a trainable embedding instead of a question.
In order to fit target embeddings smoothly into our architecture, we represent each target type with a different reserved symbol from the M-Bert vocabulary. Segment A is then set to this symbol instead of a natural language question.
The results for this experiment are listed in the bottom row of Table TABREF39. An M-Bert model that learns target embeddings instead of encoding a question performs clearly worse in the supervised and cross-lingual settings. From this we conclude that spelled-out natural language questions provide important linguistic detail that can help in stance detection.
In order to fit target embeddings smoothly into our architecture, we represent each target type with a different reserved symbol from the M-BERT vocabulary.
Answer: A different reserved symbol from the M-BERT vocabulary.
Question: What can I make with leftover stale bread?
Answer: You can pulse it in the food processor to make bread crumbs.  You can bake it by itself to make croutons.  You can bake it in the oven with other ingredients to make dishes such as bread pudding, french onion soup.  You can cook it on a stovetop to make french toast.  You can also use it to make stuffing for a turkey.
Question: When was Amsterdam founded?
Answer: Amsterdam was founded in the late 13th century.
Question: Given the passage below, tell me how many Grammy Awards, Emmy Awards, and Billboard Music Awards Taylor Swift has won and how many simultaneous entries she had on the Billboard Global 200 when she had the most simultaneous entries for an artist.
Evidence: Swift has won 12 Grammy Awards (including three for Album of the Year—tying for the most by an artist), an Emmy Award, 40 American Music Awards (the most won by an artist),29 Billboard Music Awards (the most won by a woman), 92 Guinness World Records, 14 MTV Video Music Awards (including three Video of the Year wins—the most by an act), 12 Country Music Association Awards (including the Pinnacle Award), eight Academy of Country Music Awards, and two Brit Awards. As a songwriter, she has been honored by the Nashville Songwriters Association, the Songwriters Hall of Fame, and the National Music Publishers' Association and was the youngest person on Rolling Stone's list of the 100 Greatest Songwriters of All Time in 2015. At the 64th BMI Awards in 2016, Swift was the first woman to be honored with an award named after its recipient. In 2023, Swift became the first act to be named the global best-selling artist of the year by the International Federation of the Phonographic Industry (IFPI) thrice.

From available data, Swift has amassed over 50 million album sales, 150 million single sales, and 114 million units globally, including 78 billion streams. The International Federation of the Phonographic Industry (IFPI) ranked her as the Global Recording Artist of the Year for a record three times (2014, 2019 and 2022). Swift has the most number-one albums in the United Kingdom and Ireland for a female artist this millennium and earned the highest income for an artist on Chinese digital music platforms—RMB 159,000,000. Swift is the most streamed female act on Spotify, and the only artist to have received more than 200 million streams in one day (228 million streams on October 21, 2022).The most entries and the most simultaneous entries for an artist on the Billboard Global 200, with 94 and 31 songs, respectively, are among her feats. Her Reputation Stadium Tour (2018) is the highest-grossing North American tour ever, and she was the world's highest-grossing female touring act of the 2010s. Beginning with Fearless, all of her studio albums opened with over a million global units.
Answer: Taylor Swift won 12 Grammy Awards, one Emmy Awards, 29 Billboard Music Awards, and had 31 songs on the Billboard Global 200 simultaneously, breaking the record for the most simultaneous entries for an artist on the Billboard Global 200.
Question: Give me list of top 10 countries by GDP
Answer: Below is the list of top 10 countries by GDP in 2023:

1.	United States (approx. 26.2 trillion USD)
2.	China (approx. 19.2 trillion USD)
3.	Japan (approx. 4.4 trillion USD)
4.	Germany (approx. 4.1 trillion USD)
5.	India (approx. 3.8 trillion USD)
6.	United Kingdom (approx. 3.5 trillion USD)
7.	France (approx. 2.8 trillion USD)
8.	Canada (approx. 2.3 trillion USD)
9.	Russia (approx. 2.1 trillion USD)
10.	Brazil (approx. 2 trillion USD)
Question: what are the different activities you can engage 5 year old kid during spring break
Answer: kids loves outdoor so its a great idea to have them do some activities outdoors like cycling.
5 year old also love crafts so you can teach them how to build a paper plane or party popper.
painting is another great idea , of course make sure you are not letting them do it on the carpet or wall  !!
some kids loves baking cookies or making pancakes with parent and at the end of day a good nice story telling by reading a book is always fun.
spring breaks are not easy but with a little planning you and your kid can have lots of fun together.
Question: What is a mainframe?
Answer: A mainframe is the central data repository, or hub , in a corporation's data processing center, linked to users through less powerful devices such as workstations or terminals.
Question: What are the ways you can use Zoom?
Answer: Most people primarily use Zoom for work purposes.

But “Zoom” cemented itself as a verb in 2020 when it felt like the whole world was Zooming into virtual happy hours, birthday parties, bridal showers, memorials, yoga classes, and doctor's appointments. At first, it was a novelty — people took screenshots of their crowded Zoom calls, smiling faces raising a glass to show that even though they couldn't be physically together, they were still in it together.

Zoom is often still used for social gatherings, but less so after many users complained of "Zoom fatigue" in 2020 and the years that followed.
Question: Does they focus on any specific product/service domain?
Evidence: Our data are collected from the yelp academic dataset, provided by Yelp.com, a popular restaurant review website. The data set contains three types of objects: business, user, and review, where business objects contain basic information about local businesses (i.e. restaurants), review objects contain review texts and star rating, and user objects contain aggregate information about a single user across all of Yelp. Table TABREF31 illustrates the general statistics of the dataset.
Our data are collected from the yelp academic dataset, provided by Yelp.com, a popular restaurant review website. The data set contains three types of objects: business, user, and review, where business objects contain basic information about local businesses (i.e. restaurants), review objects contain review texts and star rating, and user objects contain aggregate information about a single user across all of Yelp. Table TABREF31 illustrates the general statistics of the dataset.
Answer: The answers are shown as follows:
* local businesses (i.e. restaurants)
Question: Give me a list of things to ask while triaging a support ticket
Answer: 1) Is this issue being observed in your production or non production environment
2) If its in production since how long it has been in production
3) Are you aware of any changes done by you or your team recently that could have contributed to this failure. Like upgrades of software and libraries. Or changes in infrastructure. Changes in user interaction
4) If the response to question #3 is no, please request for verification
5) Understand if this is impacting single user, multiple users or all users. Along the same lines understand if this is impacting just one use case, multiple use cases or all use cases
6) Understand the precise symptom of the issue
7) Understand the business impact. As in financial impact or delivery (SLA) impact from this issue.
8) Understand if there is interest in workarounds to get unblocked. Or they seek full RCA with a proper fix.
Question: What was the dataset developed for?
Evidence: We describe a dataset developed for Named Entity Recognition in German federal court decisions. It consists of approx. 67,000 sentences with over 2 million tokens. The resource contains 54,000 manually annotated entities, mapped to 19 fine-grained semantic classes: person, judge, lawyer, country, city, street, landscape, organization, company, institution, court, brand, law, ordinance, European legal norm, regulation, contract, court decision, and legal literature. The legal documents were, furthermore, automatically annotated with more than 35,000 TimeML-based time expressions. The dataset, which is available under a CC-BY 4.0 license in the CoNNL-2002 format, was developed for training an NER service for German legal documents in the EU project Lynx.
The dataset, which is available under a CC-BY 4.0 license in the CoNNL-2002 format, was developed for training an NER service for German legal documents in the EU project Lynx.
Answer: The dataset was developed for training an NER service for German legal documents in the EU project Lynx.