DataHammer/scimrc huggingface dataset:
Question: How did the Royal Navy Protect the British Task Force from Argentine air attacks during the Falklands War?
Answer: The British managed to minimize their shipping losses through a combination of layered air defenses and signals intelligence. Type 42 destroyers and Sea Dart missiles provided adequate high-altitude air defense, forcing Argentine pilots to fly at very low altitudes to evade Royal Navy ship-based radar. Royal Navy submarines operating off the coast of Argentina could use electronic sensors in their periscopes to detect electronic signals from Argentine aircraft as they took off. These subs provided the fleet with enough advanced warning to launch Sea Harriers on interception missions. Consequently, an Argentine pilot needed to be ready to dogfight a Harrier, dodge surface-to-air missiles, and then pull off a low-level bombing run. All three of these tasks required a level of training that most Argentine pilots lacked. Argentina ran out of fighter jets before the British ran out of ships.
Question: What is DeFi?
Answer: Decentralized finance (often stylized as DeFi) offers financial instruments without relying on intermediaries such as brokerages, exchanges, or banks by using smart contracts on a blockchain. DeFi platforms allow people to lend or borrow funds from others, speculate on price movements on assets using derivatives, trade cryptocurrencies, insure against risks, and earn interest in savings-like accounts. DeFi uses a layered architecture and highly composable building blocks. Some applications promote high interest rates but are subject to high risk. Coding errors and hacks have been common in DeFi.
Question: How much does their system increase the speed of the collection of diverse answers from a crowd?
Evidence: We proposed a new problem of predicting whether different people would answer with the same response to the same visual question. Towards motivating the practical implications for this problem, we analyzed nearly half a million visual questions and demonstrated there is nearly a 50/50 split between visual questions that lead to answer agreement versus disagreement. We observed that crowd disagreement arose for various types of answers (yes/no, counting, other) for many different reasons. We next proposed a system that automatically predicts whether a visual question will lead to a single versus multiple answers from a crowd. Our method outperforms a strong existing VQA system limited to estimating system uncertainty rather than crowd disagreement. Finally, we demonstrated how to employ the prediction system to accelerate the collection of diverse answers from a crowd by typically at least 20% over today's status quo of fixed redundancy allocation.
Finally, we demonstrated how to employ the prediction system to accelerate the collection of diverse answers from a crowd by typically at least 20% over today’s status quo of fixed redundancy allocation.
Answer: At least 20%.
Question: how many parameters did their model use?
Evidence: On the SR dataset, we outperform BIBREF8 's text based model by 3 F1 points, while just falling short of the Text + Metadata Interleaved Training model. While we appreciate the potential added value of metadata, we believe a tweet-only classifier has merits because retrieving features from the social graph is not always tractable in production settings. Excluding the embedding weights, our model requires 100k parameters , while BIBREF8 requires 250k parameters.
Excluding the embedding weights, our model requires 100k parameters , while BIBREF8 requires 250k parameters.
Answer: The answers are shown as follows:
* Excluding the embedding weights, our model requires 100k parameters
Question: what datasets were used?
Evidence: We use three datasets for our experiments: IWSLT14 German-English, Turkish-English, and WMT14 English-German.
We use three datasets for our experiments: IWSLT14 German-English, Turkish-English, and WMT14 English-German.
Answer: IWSLT14 German-English, IWSLT14 Turkish-English, WMT14 English-German
Question: What is the national bird of New Zealand?
Answer: The kiwi bird is the national bird of New Zealand.  This bird is particularly interesting because it cannot fly and it runs very fast.  If you see one in person consider yourself lucky because sightings are rare during the day and in highly populated areas.  It also has strong legs and no tail.  New Zealanders adore this bird and often refer to it as the 'humble kiwi.'
Question: Based on the above passage mention the parts of Atlantic Ocean formed by Equatorial Counter Current. Display the results in a comma separated format.
Evidence: The Atlantic Ocean is the second-largest of the world's five oceans, with an area of about 106,460,000 km2 (41,100,000 sq mi). It covers approximately 20% of Earth's surface and about 29% of its water surface area. It is known to separate the "Old World" of Africa, Europe, and Asia from the "New World" of the Americas in the European perception of the World.

Through its separation from Africa, Europe, and Asia from the Americas, the Atlantic Ocean has played a central role in the development of human society, globalization, and the histories of many nations. While the Norse were the first humans to cross the Atlantic, it was the 1492 expedition of Christopher Columbus that proved to be the most consequential. Columbus's expedition ushered in an age of exploration and colonization of the Americas by European powers, most notably Spain, France, Portugal, and the United Kingdom. From the 16th to 19th centuries, the Atlantic Ocean was the center of both an eponymous slave trade and the Columbian exchange while occasionally hosting naval battles. Such naval battles, as well as growing trade from regional American powers like the United States and Brazil, both increased in degree during the 20th century, and while no major military conflicts took place in the Atlantic in the present 21st century, the ocean remains a core component of trade across the world.

The Atlantic Ocean occupies an elongated, S-shaped basin extending longitudinally between Europe and Africa to the east, and North and South America to the west. As one component of the interconnected World Ocean, it is connected in the north to the Arctic Ocean, to the Pacific Ocean in the southwest, the Indian Ocean in the southeast, and the Southern Ocean in the south (other definitions describe the Atlantic as extending southward to Antarctica). The Atlantic Ocean is divided in two parts, by the Equatorial Counter Current, with the North(ern) Atlantic Ocean and the South(ern) Atlantic Ocean split at about 8°N.
Answer: North(ern) Atlantic Ocean, South(ern) Atlantic Ocean
Question: From the passage identify the various products and services which are provided by HDFC Bank including the digital products. Display the results in comma separated format.
Evidence: HDFC Bank Limited (also known as HDB) is an Indian banking and financial services company headquartered in Mumbai. It is India's largest private sector bank by assets and world's 10th largest bank by market capitalisation as of April 2021. It is the third largest company by market capitalisation of $127.16 billion on the Indian stock exchanges. It is also the fifteenth largest employer in India with nearly 150,000 employees.
HDFC Bank was incorporated in 1994 as a subsidiary of the Housing Development Finance Corporation, with its registered office in Mumbai, Maharashtra, India. Its first corporate office and a full-service branch at Sandoz House, Worli were inaugurated by the then Union Finance Minister, Manmohan Singh.
As of 30 June 2022, the bank's distribution network was at 6,378 branches across 3,203 cities. It has installed 430,000 POS terminals and issued 23,570,000 debit cards and 12 million credit cards in FY 2017. It has a base of 1,52,511 permanent employees as of 30 June 2022.
HDFC Bank provides a number of products and services including wholesale banking, retail banking, treasury, auto loans, two-wheeler loans, personal loans, loans against property, consumer durable loan, lifestyle loan and credit cards. Along with this various digital products are Payzapp and SmartBUY.
Answer: wholesale banking, retail banking, treasury, auto loans, two-wheeler loans, personal loans, loans against property, consumer durable loan, lifestyle loan , credit cards, Payzapp, SmartBUY
Question:  What percentage of improvement in inference speed is obtained by the proposed method over the newest state-of-the-art methods?
Evidence: Table TABREF34 shows the inference speed of our method when implementing the sequnece modeling layer with the LSTM-based, CNN-based, and Transformer-based architecture, respectively. The speed was evaluated by average sentences per second using a GPU (NVIDIA TITAN X). For a fair comparison with Lattice-LSTM and LR-CNN, we set the batch size of our method to 1 at inference time. From the table, we can see that our method has a much faster inference speed than Lattice-LSTM when using the LSTM-based sequence modeling layer, and it was also much faster than LR-CNN, which used an CNN architecture to implement the sequence modeling layer. And as expected, our method with the CNN-based sequence modeling layer showed some advantage in inference speed than those with the LSTM-based and Transformer-based sequence model layer.
Table TABREF34 shows the inference speed of our method when implementing the sequnece modeling layer with the LSTM-based, CNN-based, and Transformer-based architecture, respectively. 
From the table, we can see that our method has a much faster inference speed than Lattice-LSTM when using the LSTM-based sequence modeling layer, and it was also much faster than LR-CNN, which used an CNN architecture to implement the sequence modeling layer. And as expected, our method with the CNN-based sequence modeling layer showed some advantage in inference speed than those with the LSTM-based and Transformer-based sequence model layer.
Answer: Across 4 datasets, the best performing proposed model (CNN) achieved an average of 363% improvement over the state of the art method (LR-CNN)
Question: Identify which car manufacturer is Japanese or American: GMC or Nissan
Answer: Nissan is Japanese, GMC is American
Question: List the number of warehouses Costco has. Segregate based on location in a descending order. Use the format ‘ Number of warehouse : Location’.
Evidence: Costco Wholesale Corporation (doing business as Costco Wholesale and also known simply as Costco) is an American multinational corporation which operates a chain of membership-only big-box retail stores (warehouse club). As of 2022, Costco is the fifth largest retailer in the world  and is the world's largest retailer of choice and prime beef, organic foods, rotisserie chicken, and wine as of 2016. Costco is ranked #11 on the Fortune 500 rankings of the largest United States corporations by total revenue.

Costco's worldwide headquarters are in Issaquah, Washington, an eastern suburb of Seattle, although its Kirkland Signature house label bears the name of its former location in Kirkland. The company opened its first warehouse (the chain's term for its retail outlets) in Seattle in 1983. Through mergers, however, Costco's corporate history dates back to 1976, when its former competitor Price Club was founded in San Diego, California. As of February 2023, Costco has 848 warehouses worldwide: 584 in the United States, 107 in Canada, 40 in Mexico, 31 in Japan, 29 in the United Kingdom, 18 in South Korea, 14 in Taiwan, 14 in Australia, four in Spain, two each in France and China, and one each in Iceland, New Zealand and Sweden.
Answer: 584 : United States
107 : Canada, 
40 : Mexico, 
31 : Japan, 
29 : the United Kingdom
18 : South Korea, 
14 : Taiwan, 
14 : Australia, 
4 : Spain, 
2 : France
2 : China
1 : Iceland
1 : New Zealand
1 : Sweden
Question: Classify each as of the following as physical or digital: pencil, pen, paper, email, social media, pavers, gutters, cryptocurrency
Answer: Pencil: Physical
Pen: Physical
Paper: Physical
Email: Digital
Social Media: Digital
Pavers: Physical
Gutters: Physical
Cryptocurrency: Digital
Question: What did the Triceratops use their horns for?
Evidence: There has been much speculation over the functions of Triceratops' head adornments. The two main theories have revolved around use in combat and in courtship display, with the latter now thought to be the most likely primary function.

Early on, Lull postulated that the frills may have served as anchor points for the jaw muscles to aid chewing by allowing increased size and thus power for the muscles. This has been put forward by other authors over the years, but later studies do not find evidence of large muscle attachments on the frill bones.

Triceratops were long thought to have used their horns and frills in combat with predators such as Tyrannosaurus, the idea being discussed first by Charles H. Sternberg in 1917 and 70 years later by Robert Bakker. There is evidence that Tyrannosaurus did have aggressive head-on encounters with Triceratops, based on partially healed tyrannosaur tooth marks on a Triceratops brow horn and squamosal; the bitten horn is also broken, with new bone growth after the break. Which animal was the aggressor is not known. Paleontologist Peter Dodson estimates that in a battle against a bull Triceratops, the Triceratops had the upper hand and would successfully defend itself by inflicting fatal wounds to the Tyrannosaurus using its sharp horns. Tyrannosaurus is also known to have fed on Triceratops, as shown by a heavily tooth-scored Triceratops ilium and sacrum.
Answer: The Triceratops used their horns for both courtship and combat, including defending against aggressive predators such as the Tyrannosaurus.
Question: What is the SELQA?
Evidence: Four publicly available corpora are selected for our analysis. These corpora are based on Wikipedia, so more comparable than the others, and have already been used for the evaluation of several QA systems.
WikiQA BIBREF6 comprises questions selected from the Bing search queries, where user click data give the questions and their corresponding Wikipedia articles. The abstracts of these articles are then extracted to create answer candidates. The assumption is made that if many queries lead to the same article, it must contain the answer context; however, this assumption fails for some occasions, which makes this dataset more challenging. Since the existence of answer contexts is not guaranteed in this task, it is called answer triggering instead of answer selection.
SelQA BIBREF7 is a product of five annotation tasks through crowdsourcing. It consists of about 8K questions where a half of the questions are paraphrased from the other half, aiming to reduce contextual similarities between questions and answers. Each question is associated with a section in Wikipedia where the answer context is guaranteed, and also with five sections selected from the entire Wikipedia where the selection is made by the Lucene search engine. This second dataset does not assume the existence of the answer context, so can be used for the evaluation of answer triggering.
SQuAD BIBREF12 presents 107K+ crowdsourced questions on 536 Wikipedia articles, where the answer contexts are guaranteed to exist within the provided paragraph. It contains annotation of answer phrases as well as the pointers to the sentences including the answer phrases; thus, it can be used for both answer extraction and selection. This corpus also provides human accuracy on those questions, setting up a reasonable upper bound for machines. To avoid overfitting, the evaluation set is not publicly available although system outputs can be evaluated by their provided script.
InfoboxQA BIBREF13 gives 15K+ questions based on the infoboxes from 150 articles in Wikipedia. Each question is crowdsourced and associated with an infobox, where each line of the infobox is considered an answer candidate. This corpus emphasizes the gravity of infoboxes, which summary arguably the most commonly asked information about those articles. Although the nature of this corpus is different from the others, it can also be used to evaluate answer selection.
SELQA (Jurczyk et al., 2016) is a product of five annotation tasks through crowdsourcing.
Answer: SELQA is a product of five annotation tasks through crowdsourcing.
Question: How is sentiment polarity measured?
Evidence: Sentiment: For each cluster, its overall sentiment score is quantified by the mean of the sentiment scores among all tweets.
Sentiment: For each cluster, its overall sentiment score is quantified by the mean of the sentiment scores among all tweets.
Answer: The answers are shown as follows:
* For each cluster, its overall sentiment score is quantified by the mean of the sentiment scores among all tweets
Question: Give me a list of authors from Florida
Evidence: Florida literature is as varied as the state itself. Genres traditionally include fiction, nonfiction, and poetry, and some of it may be considered part of the American regional Southern literature genre. Writers affiliated with the locale of Florida include William Bartram, Elizabeth Bishop, James Branch Cabell, Hart Crane, Stephen Crane, Harry Crews, Nilo Cruz, John Fleming, Ernest Hemingway, Carl Hiaasen, Jay Hopler, Zora Neale Hurston, José Martí, Campbell McGrath, Marjorie Kinnan Rawlings, Wallace Stevens, and Harriet Beecher Stowe.
Answer: The most well-known authors from Florida include:
- Ernest Heminway
- John Fleming
- José Martí
- Wallace Stevens
- Harriet Beecher Stowe
- Jay Hopler
- William Bartram
- Elizabeth Bishop
- Stephen Crane
- Hart Crane
- Harry Crews
- Campbell McGrath
- Marjorie Kinnan Rawlings
- James Branch Cabell
- Nilo Cruz
- Zora Neale Hurston
Question: Given this table of races and dates, how many races took place after July? Give the answer as a number.
Evidence: Round	Circuit	Date
1	United States Circuit of the Americas, Elroy, Texas	2–3 March
2	United States Virginia International Raceway, Alton, Virginia	27–28 April
3	Canada Canadian Tire Motorsport Park, Bowmanville, Ontario	18–19 May
4	United States Sonoma Raceway, Sonoma, California	8–9 June
5	United States Watkins Glen International, Watkins Glen, New York	31 August–1 September
6	United States Road America, Elkhart Lake, Wisconsin	21–22 September
7	United States Las Vegas Motor Speedway, Las Vegas, Nevada	19–20 October
Answer: 3
Question: Do they evaluate on NER data sets?
Evidence: To evaluate the influence of our hypersphere feature for off-the-shelf NER systems, we perform the NE recognition on two standard NER benchmark datasets, CoNLL2003 and ONTONOTES 5.0. Our results in Table 6 and Table 7 demonstrate the power of hypersphere features, which contribute to nearly all of the three types of entities as shown in Table 6, except for a slight drop in the PER type of BIBREF22 on a strong baseline. HS features stably enhance all strong state-of-the-art baselines, BIBREF22 , BIBREF21 and BIBREF23 by 0.33/0.72/0.23 $F_1$ point and 0.13/0.3/0.1 $F_1$ point on both benchmark datasets, CoNLL-2003 and ONTONOTES 5.0. We show that our HS feature is also comparable with previous much more complicated LS feature, and our model surpasses their baseline (without LS feature) by 0.58/0.78 $F_1$ point with only HS features. We establish a new state-of-the-art $F_1$ score of 89.75 on ONTONOTES 5.0, while matching state-of-the-art performance with a $F_1$ score of 92.95 on CoNLL-2003 dataset.
To evaluate the influence of our hypersphere feature for off-the-shelf NER systems, we perform the NE recognition on two standard NER benchmark datasets, CoNLL2003 and ONTONOTES 5.0.
Answer: Yes.
Question: Think of all the ways having a diverse group of employees helps an organization.
Answer: Improves overall employee morale,  improves the organization's cultural competence skills, reduces fear amongst employees, increases creativity in the workplace, reduces micro-aggressions in the workplace, improves reputation of the organization, increases workplace innovation
Question: Given the reference text about the genus Banksia, tell me how many species of Banksia there are and what size they can grow to.
Evidence: Banksia is a genus of around 170 species in the plant family Proteaceae. These Australian wildflowers and popular garden plants are easily recognised by their characteristic flower spikes, and fruiting "cones" and heads. Banksias range in size from prostrate woody shrubs to trees up to 30 metres (100 ft) tall. They are found in a wide variety of landscapes: sclerophyll forest, (occasionally) rainforest, shrubland, and some more arid landscapes, though not in Australia's deserts.
Answer: There are around 170 species of Banksia. Banksias range in size from prostrate woody shrubs to trees up to 30 metres (100 ft) tall.
Question: Which corpus do they use?
Evidence: To create our training dataset, we followed an approach similar to LASER. The dataset contains 6 languages: English, Spanish, German, Dutch, Korean and Chinese Mandarin. These languages use 3 different scripts, 2 different language orderings, and belong to 4 language families.
The dataset was created by using translations provided by Tatoeba and OpenSubtitles BIBREF16. They were chosen for their high availability in multiple languages.
To create our training dataset, we followed an approach similar to LASER. The dataset contains 6 languages: English, Spanish, German, Dutch, Korean and Chinese Mandarin.
The dataset was created by using translations provided by Tatoeba and OpenSubtitles BIBREF16.
Answer: The answers are shown as follows:
* The dataset was created by using translations provided by Tatoeba and OpenSubtitles BIBREF16.