DataHammer/scimrc huggingface dataset:
Question: Describe a plan for training to compete in a long distance gravel cycling event, including nutrition, preparation, and recovery requirements. Your plan should include a timeline and be relevant to someone who works a full time job.
Answer: General guidelines call for four rides a week but no less than three days a week. Your overall weekly training time commitment will vary, as you professional demands permit, but will increase as you get closer to your event.

In the early stages of your training, expect to spend about six to eight hours on your bike each week. Many part time riders with full time work commitments will be looking at a few weeks of eight to 10 hours of riding time, the bulk of which will come from your long rides. 

During the week, your rides will be shorter, but a little bit harder. Typically those who work and train for long distance riding events perform measured short distance rides in the early morning before work or mid-afternoon during breaks. On the weekends (or whenever you have days off), they’ll be longer and a bit easier. Recovery and nutrition will be important for non-ride days

Most people in training benefit from a recovery drink after hard workouts, eating plenty of fruits and veggies, drinking lots of water, meditating, and practicing yoga, along with flushing her legs with self-massage tools and foam rollers. 

It is important to get a good nights sleep. Bedtime is prime time for bone, muscle, hormone, and immune system restoration. Do allow for seven to eight hours of sleep per night.

The following lead time is generally required for each time of event: 

If you are training for event in the 50- to 75-mile range, you'll want to begin training at least six to eight weeks in advance.

If you’re training for anything in the 100-plus range, allow 10 to 12 weeks.

If you’re preparing for an event in the 200-mile range, begin training 16 weeks out.

A typical training week should include the three types of targeted training, plus one or two days of cross training (strength and core training) and rest days

Before your event, you will want to be within 75% to 80% of miles and elevation required for the event with the final week before your event tapering off to rides at 20-25% of length compared to the event.
Question: Make a list, using dot points, of the five foods I might find in the dairy section of a supermarket
Answer: You will likely find the following items in the dairy section at a supermarket:
 - milk
- cheese
- yoghurt
- cream
- eggs
Question: Write a story about a dark and scary night.
Answer: The night was unyieldingly dark and the winds bitingly cold. Suddenly I heard the sound of drums. The rhythm was eerie and struck incomprehensible fear into my heart. I stopped crying and looked up at the casket. I froze, why was there noise coming from there? I looked around at all the others but no one noticed any sound coming from the coffin. I pushed through people to get closer and assure myself I wasn’t imagining any noise. The closer I walked the louder the noise got.
                    I wanted to do something. They could have been alive! More and more people finish saying their goodbyes. Soon they would lower the coffin. Without a second thought, I jolt out of the crowd and I stand right next to the casket, I now feel everyone's eyes staring at me. It was too late to turn back, either I get embarrassed for life or I save someone from getting buried alive. I reach for the casket but suddenly I see someone appear right on the top of it.
                     “Hello” uttered the strange person. The voice sounded as if nails on the chalkboard could speak. I take a step back and take a good look at her. They seem to be floating a tiny bit off of the casket like a…. 
                     “GHOST!!!!” I screamed. I clasp my hands around my mouth. I start running with my head down, I don’t want to see everyone's reactions. It’s so hard to see in the dark but I just keep on running. I trip over a stick that was laying in the middle of the path. I’m glad I’m far enough from the funeral now that no one could see me fall. 
                   I look up just to see the ghost barely one foot away from me with a grin on her face. Have they been following me this whole time? I rub my eyes hoping they wouldn’t be there anymore once I open them again. 
                  “Did you like my drum solo?” questioned the ghost. I looked at her hands to see she had drumsticks in her hand. 
                    “No way,” I responded. I didn’t know much about the girl whose funeral it was but one thing I knew was that she loved to drum and that her name was Callie.
                     “Is your name Callie?” I asked
               “Bingo,” she replied. We sit in silence for a moment.
                                   “Sucks having to watch your own funeral” She brings up to stop the silence. I chuckle uncomfortably, that's not something I could relate to. 
                     “Why can I see you?” I burst out of curiosity. 
               “It’s kind of like that one wedding tradition where they toss the flower bouquet out into the crowd and whoever catches it gets married next. Except if you see a ghost at a funeral it means you are next to die.” She shrugs. 
                        “Oh,” I say, processing what she just said. Then it hits me. Literally. A tree hits me and it was fatal.
Question: What are the four main types of debt securities?
Answer: Common types of debt securities include commercial paper, corporate bonds, government bonds, municipal bonds, and treasury bills/bonds.
Question: What's the precision of the system?
Evidence: FLOAT SELECTED: Table 3. Overall typing performance of our method and the baselines on S-Lite and R-Lite.
FLOAT SELECTED: Table 4. Overall performance of entity matching on R-Lite with and without type constraint.
FLOAT SELECTED: Table 3. Overall typing performance of our method and the baselines on S-Lite and R-Lite.
FLOAT SELECTED: Table 4. Overall performance of entity matching on R-Lite with and without type constraint.
Answer: 0.8320 on semantic typing, 0.7194 on entity matching
Question: What type of syntactic analysis is performed?
Evidence: The BLEU score is an indication of how close the automated translation is to the reference translation, but does not tell us what exactly changed concerning the gender and number properties we attempt to control. We perform a finer-grained analysis focusing on the relation between the injected speaker and audience information, and the morphological realizations of the corresponding elements. We parse the translations and the references using a Hebrew dependency parser. In addition to the parse structure, the parser also performs morphological analysis and tagging of the individual tokens. We then perform the following analysis.
Speaker's Gender Effects: We search for first-person singular pronouns with subject case (ani, unmarked for gender, corresponding to the English I), and consider the gender of its governing verb (or adjectives in copular constructions such as `I am nice'). The possible genders are `masculine', `feminine' and `both', where the latter indicates a case where the none-diacriticized written form admits both a masculine and a feminine reading. We expect the gender to match the ones requested in the prefix.
Interlocutors' Gender and Number Effects: We search for second-person pronouns and consider their gender and number. For pronouns in subject position, we also consider the gender and number of their governing verbs (or adjectives in copular constructions). For a singular audience, we expect the gender and number to match the requested ones. For a plural audience, we expect the masculine-plural forms.
We then perform the following analysis.

Speaker's Gender Effects: We search for first-person singular pronouns with subject case (ani, unmarked for gender, corresponding to the English I), and consider the gender of its governing verb (or adjectives in copular constructions such as `I am nice'). The possible genders are `masculine', `feminine' and `both', where the latter indicates a case where the none-diacriticized written form admits both a masculine and a feminine reading. We expect the gender to match the ones requested in the prefix.

Interlocutors' Gender and Number Effects: We search for second-person pronouns and consider their gender and number. For pronouns in subject position, we also consider the gender and number of their governing verbs (or adjectives in copular constructions). For a singular audience, we expect the gender and number to match the requested ones. For a plural audience, we expect the masculine-plural forms.
Answer: The answers are shown as follows:
* Speaker's Gender Effects
* Interlocutors' Gender and Number Effects
Question: What are the four major tournaments in professional golf?
Answer: The four major tournaments in professional golf are the Masters, PGA Championship, Open Championship, and U.S. Open.
Question: Based on this paragraph about religions of the world, what are the "big five" religions?
Evidence: World religions is a category used in the study of religion to demarcate the five—and in some cases more—largest and most internationally widespread religious movements. Hinduism, Buddhism, Judaism, Christianity, and Islam are always included in the list, being known as the "Big Five". Some scholars also include other world religions, such as Taoism, Jainism, Sikhism, Zoroastrianism, and the Baháʼí Faith, in the category. These are often juxtaposed against other categories, such as indigenous religions and new religious movements, which are also used by scholars in this field of research.
Answer: The "Big Five" refers to the five most prominent religious movements globally: Hinduism, Buddhism, Judaism, Christianity, and Islam.
Question: Give me a list of best places to take vacation.
Answer: Italy is a beautiful and old country in Europe, it has ancient history for you explore. The fascinating fact is the view of some old towns haven't been changed much compared to hundreds of years ago. I recommend Florence and Rome since both of them are not just beautiful but also make you feel flashing back to old Rome era when you visit Colossus, San Peter Catholic church and Pantheon. Also you can find authentic Italian local food and I bet who doesn't love pizza!
Question: What was MarCal's restaurant?
Answer: MarCal's restaurant was originally started as a small diner in Chilton, WI, by its proprietors, Marty and Margie Salm.  The name "MarCal's" was formed by combining part of Marty and Margie's first names with the first name of the banker who was willing to take the risk and loan them the capital to start the business.  It took several years for the business to take hold, and as it gained popularity, MarCal's moved to a larger location in Chilton that also had space for events.  Marty would later partner with his brother, Ed, to start MarCal's Too in Valders, WI. When his son, Dave, finished culinary training, Dave partnered with his sister Nancy to run the Chilton location.  Marty and Margie moved to start another MarCal's diner in the city of Brillion, WI.  The business thrived for many years, with Marty leading operations and being the primary cook, and Margie working as a waitress and running the front of the business, as well as the accounting. Sunday morning breakfasts were always busy, and one item on the menu Marty was particularly proud of was the potato pancakes.  The recipe for these pancakes came from Marty's mother, Eva Salm, who knew a thing or two about feeding a large number of people since she had to keep her family of 15 children fed, as well as their many farm hands.  MarCals restaurants no longer exist, as they were all closed at various times after Marty and Margie's retirement, but many a fond memory of Sunday breakfasts and lunch time buffets still remain.
Question: How do archaeologist use stratigraphy?
Answer: Stratigraphy is very important for archaeologists and is used to interpret time and space within a site. In general, the soil horizons near the top are the most recent and those lower down are older. Stratigraphy can help archaeologist determine how old a site is as well as different events that might have taken place at the site.
Question: Best TV shows I've ever seen.
Answer: Here is a list of the best TV shows I've ever seen: Succession, Yellowstone, The Last of Us, Emily in Paris, Grey's Anatomy, The OC, Outer Banks, You, Vanderpump Rules, How I Met your Mother, Peaky Blinders, Game of Thrones, Girls, The Marvelous Mrs. Maisel, Sex in the City, Gossip Girl, Gilmore Girls, and One Tree Hill,
Question: Did they use a crowdsourcing platform for the summaries?
Evidence: We used a dataset provided by Shortir, an Indonesian news aggregator and summarizer company. The dataset contains roughly 20K news articles. Each article has the title, category, source (e.g., CNN Indonesia, Kumparan), URL to the original article, and an abstractive summary which was created manually by a total of 2 native speakers of Indonesian. There are 6 categories in total: Entertainment, Inspiration, Sport, Showbiz, Headline, and Tech. A sample article-summary pair is shown in Fig. FIGREF4 .
We used a dataset provided by Shortir, an Indonesian news aggregator and summarizer company. The dataset contains roughly 20K news articles. Each article has the title, category, source (e.g., CNN Indonesia, Kumparan), URL to the original article, and an abstractive summary which was created manually by a total of 2 native speakers of Indonesian
Answer: No.
Question: Tell me which months have 30 days and which have 31 days, based on this list: January, February, March, April, May, June, July, August, September, October, November, and December.
Answer: Months that have 30 days are: April, June, September and November.
Months that have 31 days are: January, March, May, July, August, October and December.
Question: Which is a bird or fish: Red snapper or Red kite
Answer: Red kit is a bird, Red snapper is a fish
Question: How many years passed from Ghana's decline to the Mali Empire consolidating western Sudan?
Evidence: By the ninth century CE, a string of dynastic states, including the earliest Hausa states, stretched across the sub-Saharan savannah from the western regions to central Sudan. The most powerful of these states were Ghana, Gao, and the Kanem-Bornu Empire. Ghana declined in the eleventh century, but was succeeded by the Mali Empire which consolidated much of western Sudan in the thirteenth century. Kanem accepted Islam in the eleventh century.
Answer: Ghana declined in the 11th century, Mali Empire consolidated much of western Sudan in the 13th century, so 2 centuries passed which equals 200 years.
Question: What is SCSS?
Answer: The Sassy Cascading Style Sheets (SCSS) is basically a more advanced and evolved variant of the CSS language. Natalie Weizenbaum and Chris Eppstein created it, and Hampton Catlin designed it. It comes with more advanced features- thus often called Sassy CSS.
Question: Classify the movies into Thriller and Action genres.

Aks, Pyaar Tune Kya Kiya, Vadh, Farz, Angaar: The Fire
Answer: Thriller: Aks, Pyaar Tune Kya Kiya, Vadh

Action: Farz, Angaar: The Fire
Question: What is the game called Lacrosse
Answer: Lacrosse is a team sport played with a lacrosse stick and a lacrosse ball. It is the oldest organized sport in North America,[ with its origins with the indigenous people of North America as early as the 12th century.The game was extensively modified by European colonists, reducing the violence, to create its current collegiate and professional form.

Players use the head of the lacrosse stick to carry, pass, catch, and shoot the ball into the goal. The sport has four versions that have different sticks, fields, rules and equipment: field lacrosse, women's lacrosse, box lacrosse and intercrosse. The men's games, field lacrosse (outdoor) and box lacrosse (indoor), are contact sports and all players wear protective gear: helmet, gloves, shoulder pads, and elbow pads. The women's game is played outdoors and does not allow body contact but does allow stick to stick contact.The only protective gear required for women players is eyegear, while goalies wear helmets and protective pads. Both men's and women's field lacrosse have 6v6 versions played on smaller fields, gaining acceptance in multi-sport events. Intercrosse is a mixed-gender non-contact sport played indoors that uses an all-plastic stick and a softer ball.

The modern sport is governed by World Lacrosse and is the only international sport organization to recognize First Nations bands and Native American tribes as sovereign nations.The organization hosts the World Lacrosse Championship for men, the Women's Lacrosse World Cup, the World Indoor Lacrosse Championship for box lacrosse, and the Under-19 World Lacrosse Championships for both men and women. Each is held every four years. Lacrosse at the Summer Olympics has been contested at two editions of the Summer Olympic Games, 1904 and 1908.It was also held as a demonstration event at the 1928, 1932, and 1948 Summer Olympics.
Question: What are their baseline models?
Evidence: Majority: the text picks the label of the largest size.
ESA: A dataless classifier proposed in BIBREF0. It maps the words (in text and label names) into the title space of Wikipedia articles, then compares the text with label names. This method does not rely on train.
We implemented ESA based on 08/01/2019 Wikipedia dump. There are about 6.1M words and 5.9M articles.
Word2Vec BIBREF23: Both the representations of the text and the labels are the addition of word embeddings element-wisely. Then cosine similarity determines the labels. This method does not rely on train either.
Binary-BERT: We fine-tune BERT on train, which will yield a binary classifier for entailment or not; then we test it on test – picking the label with the maximal probability in single-label scenarios while choosing all the labels with “entailment” decision in multi-label cases.
Majority: the text picks the label of the largest size.


ESA: A dataless classifier proposed in BIBREF0. It maps the words (in text and label names) into the title space of Wikipedia articles, then compares the text with label names. This method does not rely on train.

We implemented ESA based on 08/01/2019 Wikipedia dump. There are about 6.1M words and 5.9M articles.
Word2Vec BIBREF23: Both the representations of the text and the labels are the addition of word embeddings element-wisely. Then cosine similarity determines the labels. This method does not rely on train either.
Binary-BERT: We fine-tune BERT on train, which will yield a binary classifier for entailment or not; then we test it on test – picking the label with the maximal probability in single-label scenarios while choosing all the labels with “entailment” decision in multi-label cases.
Answer: The answers are shown as follows:
* Majority
* ESA
* Word2Vec 
* Binary-BERT
Question: Manchester of South India ?
Evidence: Coimbatore, also spelt as Koyamputhur[note 1] (Tamil pronunciation: [koːjambʊt̪ːuːɾ]), sometimes shortened as Kovai (IPA: [koːʋaj]), is one of the major metropolitan cities in the Indian state of Tamil Nadu. It is located on the banks of the Noyyal River and surrounded by the Western Ghats. Coimbatore is the second largest city in Tamil Nadu after Chennai in terms of population and the 16th largest urban agglomeration in India as per the census 2011. It is administered by the Coimbatore Municipal Corporation and is the administrative capital of Coimbatore District. In 1981, Coimbatore formed as the third municipal corporation in Tamil Nadu after Chennai and Madurai. Podanur Junction is the oldest railway station in Coimbatore City. The city is one of the largest exporters of jewellery, wet grinders, poultry and auto components; the "Coimbatore Wet Grinder" and the "Kovai Cora Cotton" are recognised as Geographical Indications by the Government of India. Being a hub of textile industry in South India, the city is sometimes referred to as the "Manchester of South India". It was ranked the 7th best city in India in the Ease of Living index 2020.
Answer: Coimbatore
Question: Is Aetolia at sea level?
Evidence: Aetolia is a mountainous region of Greece on the north coast of the Gulf of Corinth, forming the eastern part of the modern regional unit of Aetolia-Acarnania.
Answer: Aetolia is a mountainous region of Greece, so probably not.
Question: How much training data is used?
Evidence: The following data sources were used to train the RNN-T and associated RNN-LMs in this study.
Source-domain baseline RNN-T: approximately 120M segmented utterances (190,000 hours of audio) from YouTube videos, with associated transcripts obtained from semi-supervised caption filtering BIBREF28.
Source-domain normalizing RNN-LM: transcripts from the same 120M utterance YouTube training set. This corresponds to about 3B tokens of the sub-word units used (see below, Section SECREF30).
Target-domain RNN-LM: 21M text-only utterance-level transcripts from anonymized, manually transcribed audio data, representative of data from a Voice Search service. This corresponds to about 275M sub-word tokens.
Target-domain RNN-T fine-tuning data: 10K, 100K, 1M and 21M utterance-level {audio, transcript} pairs taken from anonymized, transcribed Voice Search data. These fine-tuning sets roughly correspond to 10 hours, 100 hours, 1000 hours and 21,000 hours of audio, respectively.
The following data sources were used to train the RNN-T and associated RNN-LMs in this study.

Source-domain baseline RNN-T: approximately 120M segmented utterances (190,000 hours of audio) from YouTube videos, with associated transcripts obtained from semi-supervised caption filtering BIBREF28.

Source-domain normalizing RNN-LM: transcripts from the same 120M utterance YouTube training set. This corresponds to about 3B tokens of the sub-word units used (see below, Section SECREF30).

Target-domain RNN-LM: 21M text-only utterance-level transcripts from anonymized, manually transcribed audio data, representative of data from a Voice Search service. This corresponds to about 275M sub-word tokens.

Target-domain RNN-T fine-tuning data: 10K, 100K, 1M and 21M utterance-level {audio, transcript} pairs taken from anonymized, transcribed Voice Search data. These fine-tuning sets roughly correspond to 10 hours, 100 hours, 1000 hours and 21,000 hours of audio, respectively.
Answer: 163,110,000 utterances
Question: Do pilots of civil aircraft know the exact weight of the aircraft prior to take-off?
Answer: No, not the exact weight.  They estimate the likely weight, with a margin for error, and on more modern aircraft (like the A330), onboard software will calculate the actual weight once airborne and then suggest the optimal angle of attack for the flight.
Question: Find the bird in this list: Avocado, Avocet, Avian
Answer: Avocet
Question: How much more coverage is in the new dataset?
Evidence: The measured precision with respect to PropBank is low for adjuncts due to the fact that our annotators were capturing many correct arguments not covered in PropBank. To examine this, we analyzed 100 false positive arguments. Only 32 of those were due to wrong or incomplete QA annotations in our gold, while most others were outside of PropBank's scope, capturing either implied arguments or roles not covered in PropBank. Extrapolating from this manual analysis estimates our true precision (on all roles) to be about 91%, which is consistent with the 88% precision figure in Table TABREF19. Compared with 2015, our QA-SRL gold yielded 1593 annotations, with 989 core and 604 adjuncts, while theirs yielded 1315 annotations, 979 core and 336 adjuncts. Overall, the comparison to PropBank reinforces the quality of our gold dataset and shows its better coverage relative to the 2015 dataset.
Compared with 2015, our QA-SRL gold yielded 1593 annotations, with 989 core and 604 adjuncts, while theirs yielded 1315 annotations, 979 core and 336 adjuncts. 
Answer: 278 more annotations