DataHammer/scimrc huggingface dataset:
Question: Given this paragraph, who was the President of Mexico during the seige of Bexar?
Evidence: The siege of Béxar (or Béjar) was an early campaign of the Texas Revolution in which a volunteer Texian army defeated Mexican forces at San Antonio de Béxar (now San Antonio, Texas). Texians had become disillusioned with the Mexican government as President and General Antonio López de Santa Anna's tenure became increasingly dictatorial. In early October 1835, Texas settlers gathered in Gonzales to stop Mexican troops from reclaiming a small cannon. The resulting skirmish, known as the Battle of Gonzales, launched the Texas Revolution. Men continued to assemble in Gonzales and soon established the Texian Army. Despite a lack of military training, well-respected local leader General Stephen F. Austin was elected commander.
Answer: Based on this text, during the seige of Bexar Antonio Lopez de Santa Anna was the President of Mexico.
Question: Write a short story (under 250 words) about meditation. The narrator should be uncomfortable.
Answer: Our guide asks us to close our eyes and softly leads us through a meditation: we’re in a meadow, leaning against an old tree. The trunk supports us as we become one with the earth, anchoring ourselves in place, feeling at peace.

She gives us a mantra: “I am…” and we fill in the blank and silently repeat the statement in our minds.  

“I am human,” I think to myself as I visualize myself becoming one with the tree, growing roots and hardening, knowing I will eventually be chopped down along with the other trees that must have once been in this lonely meadow. 

When our guide softly brings us back to reality she encourages us to share our “I am” mantras and I panic as the other participants declare: “I am brave.” “I am enough.” “I am still.” 

I don’t repeat my mantra. I don’t want to explain why I needed to feel human, how I saw myself transforming into not only the tree, but then a sprite, a creature of the forest.

“I am okay,” I whisper. My declaration is met with universal head nodding.

I feel guilty about changing my mantra for a moment, but reassure myself of my statement’s authenticity: I’m no longer a tree, I’m in a studio with several other people, attempting to let go of my social anxieties, and I am okay.
Question: Why do babies cry?
Answer: Babies can cry from a variety of reasons. Either the baby is hungry, uncomfortable, needs a change of diaper or just in need of a hug. Babies cannot speak so the only way they express their emotions is via crying or smiling. When a baby cries they are typically looking for  attention or for you to address a matter for them. Try to see what is making your baby uncomfortable and try to address the root cause. When a baby cries uncontrollably and you cannot decipher the cause, check with your pediatrician.
Question: What triggers urticaria at night and why are hives and itching at their worst?
Answer: Getting hives at night could mean that you have come into contact that triggers the allergic reaction. It could very well be something you ate or the fabric of your sheets or your current environment. One must avoid triggers and use anti-itch medicine without prescription to alleviate the problem.
Question: Give me a list of the best golf movies I've never seen.
Answer: - Caddyshack
- Tin Cup
- The Greatest Game Ever Played
- The Legend of Bagger Vance
Question: Was the USS Rachel Seaman built in the 20th century?
Evidence: USS Rachel Seaman was a wooden schooner purchased by the Union Navy during the American Civil War.
Answer: No, it was purchased during the American Civil War, so it was likely built in the 19th century.
Question: What are some interesting facts around Wilmer McLean's residencies when it comes to the American Civil War?
Evidence: Wilmer McLean (May 3, 1814 – June 5, 1882) was an American wholesale grocer from Virginia. His house, near Manassas, Virginia, was involved in the First Battle of Bull Run in 1861. After the battle, he moved to Appomattox, Virginia, to escape the war, thinking that it would be safe. Instead, in 1865, General Robert E. Lee surrendered to Ulysses S. Grant in McLean's house in Appomattox. His houses were, therefore, involved in one of the first and one of the last encounters of the American Civil War.
Answer: He lived near Manassas, Virginia, where one for the first battles of the Civil War was fought, and then moved to Appomattox, also in Virginia, on this later home General Robert E. Lee surrendered to Ulysses S. Grant, near the end of the Civil War.
Question: Tell me whether these are days of the week or months in the year: Monday, Saturday, March, December, October, Tuesday,  January, Wednesday, Friday, April.
Answer: The following are days of the week: Monday, Tuesday, Wednesday, Friday and Saturday. The following are are months in the year: January, March, April, October, December.
Question: What dataset did they use?
Evidence: Table TABREF14 shows the experiment measuring improvements from the MWA attention on test sets of four datasets. Generally, our method consistently outperforms all baselines on all of four tasks, which clearly indicates the advantage of introducing word segmentation information into the encoding of character sequences. Moreover, the Wilcoxon’s test shows that significant difference ($p< 0.01$) exits between our model with baseline models.
FLOAT SELECTED: Table 2: Results of word-aligned attention models on multi NLP task. All of results are f1-score evaluated on test set and each experiment are enacted five times, the average is taken as result. Part of results are similar to results from BERT-wwm technical report (Cui et al., 2019).
Table TABREF14 shows the experiment measuring improvements from the MWA attention on test sets of four datasets.
FLOAT SELECTED: Table 2: Results of word-aligned attention models on multi NLP task. All of results are f1-score evaluated on test set and each experiment are enacted five times, the average is taken as result. Part of results are similar to results from BERT-wwm technical report (Cui et al., 2019).
Answer: weibo-100k, Ontonotes, LCQMC and XNLI
Question: How are the characters Balrog, Vega and M. Bison connected in Street Fighter II?
Evidence: Balrog, an American boxer with a similar appearance to Mike Tyson. Called M. Bison in Japan. Once one of the world's greatest heavyweight boxers, he began working for Shadaloo for easy money. Vega, a Spanish bullfighter who wields a claw and uses a unique style of ninjutsu. Called Balrog in Japan. He is vain and wishes to eliminate ugly people from the world. Sagat, a Muay Thai kickboxer from Thailand and former World Warrior champion from the original Street Fighter. He was once known as The King of Street Fighters until he got demoted as The King of Muai Thai in his own tournament due to a narrow defeat at the hands of Ryu's shoryuken (rising dragon punch) which left a deep gash across his chest. Ever since that moment he felt disgrace, and will do anything to have a grudge match with Ryu to get his title back, even if it takes joining forces with Shadaloo. M. Bison, the leader of the criminal organization Shadaloo, who uses a mysterious power known as Psycho Power, and the final opponent of the game. Called Vega in Japan.
Answer: Balrog, an American boxer who resembles Mike Tyson, is called M. Bison in Japan. Vega, a Spanish bullfighter with a claw is called Balrog in Japan. M. Bison, the final opponent of the game, is called Vega in Japan.
Question: Give me a list of things that pose a challenge to cryptos
Answer: 1) Crypto is an invention that has yet to find a real life purpose. Bitcoin narrative has changed from a peer to peer payment processor to now being store of value.
2) Crypto also is banned in several countries. That is a challenge with wider adoption
3) Crypto is also bound to a regulatory event that could bring it to grinding halt
4) There's also a growing concern around energy consumption of them mining rigs.
5) In recent events, the demise of major crypto exchange like FTX has also lead to poor optics
Question: Which two subtasks they are?
Evidence: The shared task features two subtasks:
Fragment-Level Classification task (FLC). Given a news article, detect all spans of the text in which a propaganda technique is used. In addition, for each span the propaganda technique applied must be identified. Sentence-Level Classification task (SLC). A sentence is considered propagandist if it contains at least one propagandist fragment.  We then define a binary classification task in which, given a sentence, the correct label, either propaganda or non-propaganda, is to be predicted.
Answer: Fragment-Level Classification task (FLC) and Sentence-Level Classification task (SLC).
Question: How much improvement do they get?
Evidence: FLOAT SELECTED: Table 7. Experimental results
FLOAT SELECTED: Table 7. Experimental results
Answer: Their GTRS approach got an improvement of 3.89% compared to SVM and 27.91% compared to Pawlak.
Question: What is the difference between a snap shot and a slap shot in hockey?
Answer: A snap shot is an abbreviated wrist shot in ice hockey. The purpose of the snap shot is to combine the main advantages of the wrist shot (shot accuracy and quick delivery) and slap shot (puck speed).

The snap shot is accomplished with a quick snap of the wrists while the puck rests in place.  The slap shot, on the other hand, is accomplished with a wind-up involving lifting the hockey stick to shoulder height or higher and then slapping the ice slightly behind the puck, using the weight to bend the stick, storing energy in it like a spring. The player then rolls their wrists and shifts their weight so that the energy stored in the stick is released through the puck.
Question: What origins and destinations does Delta Vacations offer?
Answer: Delta Vacations offers great vacation experiences from any city in the U.S. and Canada served by Delta Air Lines to more than 300+ vacation destinations around the world, including Mexico, the Caribbean, U.S., Hawaii, Canada, Central America, South America, Europe, Asia, Australia, New Zealand, Africa and the Middle East.
Question: Based on this article, what was the relationship between Ala-ud-Din Bahman Shah and Alauddin Mujahid Shah?
Evidence: Mohammed Shah I (reigned 1358–1375) was the second ruler of the Bahmani Sultanate, a late medieval kingdom of India. He succeeded his father Ala-ud-Din Bahman Shah. His reign was marked by a series of wars between his kingdom and two neighboring kingdoms, the Vijayanagara and the Warangal under Kapaya Nayaka. He was succeeded by his son Alauddin Mujahid Shah.
Answer: Alauddin Mujahid Shah was the grandson of Ala-ud-Din Bahman Shah by his son Mohammed Shah I.
Question: What is the difference between a research university and a liberal arts college?
Answer: A research university is an institution that grants graduate doctoral degrees and where the emphasis is on academic research.  Liberal arts colleges, while also conducting research (but not so at the doctoral level), has more emphasis on undergraduate instruction and puts its mission more on expanding the development of intellectual curiosity and general knowledge, rather than professional, vocational or technical curriculum.
Question: What is an idea?
Answer: In common usage and in philosophy, ideas are the results of thought. Also in philosophy, ideas can also be mental representational images of some object. Many philosophers have considered ideas to be a fundamental ontological category of being.
Question: How big is dataset used?
Evidence: FLOAT SELECTED: Table 1: Statistics of the datasets.
FLOAT SELECTED: Table 1: Statistics of the datasets.
Answer: 553,451 documents
Question: What are Roland's most famous synthesizers and drum machines from the 1980s and what do they do?
Answer: The most famous Roland synthesizer and drum machines from the 1980s are the Roland TB-303, TR-606, TR-808, and TR-909. Although all were generally commercial failures at first, the TB-303 Bass Line became widely used in techno because of its distinctive resonant filter, beginning with Phuture's "Acid Tracks". The TR-606 Drumatix was also later widely used in electronica. However the TR-808 Rhythm Composer's booming kick and snare sound were even more popular, appearing widely in hip-hop tracks. The TR-909 was and is widely used in dance and pop music, known for its signature snare and hi hat cymbal sounds.
Question: What is 1.5-entmax?
Evidence: We apply our adaptively sparse Transformers on four machine translation tasks. For comparison, a natural baseline is the standard Transformer architecture using the softmax transform in its multi-head attention mechanisms. We consider two other model variants in our experiments that make use of different normalizing transformations:
1.5-entmax: a Transformer with sparse entmax attention with fixed $\alpha =1.5$ for all heads. This is a novel model, since 1.5-entmax had only been proposed for RNN-based NMT models BIBREF14, but never in Transformers, where attention modules are not just one single component of the seq2seq model but rather an integral part of all of the model components.
$\alpha $-entmax: an adaptive Transformer with sparse entmax attention with a different, learned $\alpha _{i,j}^t$ for each head.
The adaptive model has an additional scalar parameter per attention head per layer for each of the three attention mechanisms (encoder self-attention, context attention, and decoder self-attention), i.e.,
and we set $\alpha _{i,j}^t = 1 + \operatornamewithlimits{\mathsf {sigmoid}}(a_{i,j}^t) \in ]1, 2[$. All or some of the $\alpha $ values can be tied if desired, but we keep them independent for analysis purposes.
1.5-entmax: a Transformer with sparse entmax attention with fixed α = 1.5 for all heads. This is a novel model, since 1.5-entmax had only been proposed for RNN-based NMT models (Peters et al., 2019), but never in Transformers, where attention modules are not just one single component of the seq2seq model but rather an integral part of all of the model components.
Answer: A Transformer with sparse entmax attention with fixed α = 1.5 for all heads.
Question: What is the fastest street legal car, actually demonstrated, in the world?
Answer: On Dec. 9, 2022, the Gas Monkey Garage-sponsored 2006 Ford GT known as the “BADD GT,” achieved a top speed of 310.8 mph (500.1 km/h) at Space Florida’s Launch and Landing Facility, located in Kennedy Space Center, Florida, making this car the fastest street legal car in the world.
Question: Which variants are considered in the model variants?
Evidence: We evaluate our method on natural language inference (NLI), paraphrase identification (PI), and sentiment classification. We also conduct analysis on gate values and experiments on model variants. For detailed experimental settings, we refer readers to the supplemental material.
For the NLI and PI tasks, there exists recent work specializing in sentence pair classification. However in this work we confine our model to the architecture that encodes each sentence using a shared encoder without any inter-sentence interaction, in order to focus on the effectiveness of the models in extracting semantics. But note that the applicability of CAS-LSTM is not limited to sentence encoding based approaches.
In this subsection, we see the influence of each component of a model on performance by removing or replacing its components. the SNLI dataset is used for experiments, and the best performing configuration is used as a baseline for modifications. We consider the following variants: (i) models with different λ, (ii) models without λ, and (iii) models that integrate lower contexts via peephole connections.
Answer: (i) models with different λ, (ii) models without λ, and (iii) models that integrate lotheyr contexts via peephole connections.
Question: Who is Paul McIver
Answer: Paul McIver (born 26 March 1986) is a New Zealand actor and musician. His first film appearance was in the television series The Ray Bradbury Theater. He has appeared in the Hercules: The Legendary Journeys films and the television show as Hercules' son.
Question: Provide a short summary of Ian Leslie Campbell's first three books.
Evidence: Ian Leslie Campbell (born 22 February 1945) is a British historian specialising in Ethiopia with a focus on the Italian occupation of Ethiopia. During his career, he worked together with Ethiopianist Richard Pankhurst.

His first book on Italian colonialism in Ethiopia is The Plot to Kill Graziani (Addis Ababa University Press in 2010), an analysis of the assassination attempt on Rodolfo Graziani that took place on 19 February 1937. The Plot to Kill Graziani was declared Ethiopian Book of the Year by Richard Pankhurst, presented by the Ethiopian Broadcasting Corporation, and featured in Eland's travel series, Ethiopia Through Writers' Eyes.

His second book, The Massacre of Debre Libanos (AAU Press, 2014), reports the massacre of members of the Ethiopian Coptic Church in the monastery village of Debre Libanos in Italian East Africa between 21 and 29 May 1937. Campbell's findings were featured in the Italian documentaries Debre Libanos and If Only I Were That Warrior.

His third book is The Addis Ababa Massacre (Hurst, London & Oxford University Press, New York, 2017), an account of the atrocities following the attack on Rodolfo Graziani referred to as Yekatit 12. The book got recognition from a spectrum of international reviewers, and in 2018 became available in an Italian edition, Il massacro di Addis Abeba (Rizzoli, 2018), raising a debate in Italy about the responsibilities of Italian colonialism.
Answer: Ian Leslie Campbells first three books were "The Plot to Kill Graziani", "The Massacre of Debre Libanos", and "The Addis Ababa Massacre". Each of the books are about violent attacks on people.
Question: Give me a list of the last ten Grammy Award for Best New Artist winners.
Answer: Samara Joy, Olivia Rodrigo, Megan Thee Stallion, Billie Eilish, Dua Lipa, Alessia Cara, Chance the Rapper, Meghan Trainor, Sam Smith,  Macklemore & Ryan Lewis
Question: What is the key to longevity?
Answer: Researchers and doctors have been studying this for many years and a number of patterns has consistently shown to be true: It's a combination of nutrition, exercise and sleep. From a nutrition perspective, a predominantly plant-based diet is the way to go. The Mediterranean diet continues to outperform all other diets year after year. A plant-based diet can not only prevent disease but it can reverse cardiovascular illness and many others. We now also have enough evidence on the importance of movement, exercise and specifically a combination of resistance and endurance training. Muscle growth is not only positive for the muscles themselves but it also positively affects bone density (which we tend to lose as we age), as well as effects on your immune system, gut microbiome and even mental health. The positives are endless. Lastly, if we do not get proper sleep (typically 7-9hours/night), the other two factors, diet and exercise, will not be optimal. Consistency in going to sleep and waking up at the same time is crucial to overall wellbeing and recovery. 
Researchers of the Blue Zones argue that another crucial part to living healthily into old age is the social circle or community we are part of. 
If you want to live a long and healthy life, eat more plants, exercise, get some sleep and spend time with your friends and family.
Question: If the authors' best model outperforms all the previous models?
Evidence: We report the ROUGE F1 scores for both datasets of all the competing models using ROUGE F1 scores BIBREF27 . We report the results on the Gigaword and the CNN dataset in Table 2 and Table 3 , respectively. In Gigaword dataset where the texts are short, our best model achieves a comparable performance with the current state-of-the-art. In CNN dataset where the texts are longer, our best model outperforms all the previous models. We emphasize that E2T module is easily attachable to better models, and we expect E2T to improve their performance as well. Overall, E2T achieves a significant improvement over the baseline model base, with at least 2 ROUGE-1 points increase in the Gigaword dataset and 6 ROUGE-1 points increase in the CNN dataset. In fact, all variants of E2T gain improvements over the baseline, implying that leveraging on linked entities improves the performance of the summarizer. Among the model variants, the CNN-based encoder with selective disambiguation and firm attention performs the best.
Automatic evaluation on the Gigaword dataset shows that the CNN and RNN variants of base+E2T have similar performance. To break the tie between both models, we also conduct human evaluation on the Gigaword dataset. We instruct two annotators to read the input sentence and rank the competing summaries from first to last according to their relevance and fluency: (a) the original summary gold, and from models (b) base, (c) base+E2Tcnn, and (d) base+E2Trnn. We then compute (i) the proportion of every ranking of each model and (ii) the mean rank of each model. The results are reported in Table 4 . The model with the best mean rank is base+E2Tcnn, followed by gold, then by base+E2Trnn and base, respectively. We also perform ANOVA and post-hoc Tukey tests to show that the CNN variant is significantly ( $p<0.01$ ) better than the RNN variant and the base model. The RNN variant does not perform as well as the CNN variant, contrary to the automatic ROUGE evaluation above. Interestingly, the CNN variant produces better (but with no significant difference) summaries than the gold summaries. We posit that this is due to the fact that the article title does not correspond to the summary of the first sentence.
In CNN dataset where the texts are longer, our best model outperforms all the previous models.
Answer: Yes.
Question: From the passage identify the type of medications used to treat infections. Display the results in comma separated format.
Evidence: An infection is the invasion of tissues by pathogens, their multiplication, and the reaction of host tissues to the infectious agent and the toxins they produce. An infectious disease, also known as a transmissible disease or communicable disease, is an illness resulting from an infection.Infections can be caused by a wide range of pathogens, most prominently bacteria and viruses. Hosts can fight infections using their immune system. Mammalian hosts react to infections with an innate response, often involving inflammation, followed by an adaptive response.Specific medications used to treat infections include antibiotics, antivirals, antifungals, antiprotozoals, and antihelminthics. Infectious diseases resulted in 9.2 million deaths in 2013 (about 17% of all deaths). The branch of medicine that focuses on infections is referred to as infectious diseases.
Answer: antibiotics, antivirals, antifungals, antiprotozoals, antihelminthics
Question: Who is the company Roche
Answer: F. Hoffmann-La Roche AG, commonly known as Roche, is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel. Roche is the fifth largest pharmaceutical company in the world by revenue, and the leading provider of cancer treatments globally.