DataHammer/scimrc huggingface dataset:
Question: Which features do they use?
Evidence: In this paper, we present the problem of DAR from the viewpoint of extending richer CRF-attentive structural dependencies along with neural network without abandoning end-to-end training. For simplicity, we call the framework as CRF-ASN (CRF-Attentive Structured Network). Specifically, we propose the hierarchical semantic inference integrated with memory mechanism on the utterance modeling. The memory mechanism is adopted in order to enable the model to look beyond localized features and have access to the entire sequence. The hierarchical semantic modeling learns different levels of granularity including word level, utterance level and conversation level. We then develop internal structured attention network on the linear-chain conditional random field (CRF) to specify structural dependencies in a soft manner. This approach generalizes the soft-selection attention on the structural CRF dependencies and takes into account the contextual influence on the nearing utterances. It is notably that the whole process is differentiable thus can be trained in an end-to-end manner.
The memory mechanism is adopted in order to enable the model to look beyond localized features and have access to the entire sequence.
Answer: The answers are shown as follows:
* beyond localized features and have access to the entire sequence
Question: Which notable person in this list with surname Liebers was born last?
Evidence: Liebers is a German language surname. Notable people with the name include:

Mario Liebers (born 1960), German former competitive figure skater
Martin Liebers (born 1985), German former competitive figure skater
Matthias Liebers (born 1958), former German footballer
Peter Liebers (born 1988), German former figure skater.
Answer: Peter Liebers
Question: What are results of comparison between novel method to other approaches for creating compositional generalization benchmarks?
Evidence: The MCD splits achieve a significantly higher compound divergence at a similar atom divergence when compared to the other experiments. The reason for this is that, instead of focusing on only one intuitive but rather arbitrary aspect of compositional generalization, the MCD splits aim to optimize divergence across all compounds directly.
The MCD splits achieve a significantly higher compound divergence at a similar atom divergence when compared to the other experiments. 
Answer: The answers are shown as follows:
* The MCD splits achieve a significantly higher compound divergence at a similar atom divergence when compared to the other experiments
Question: What are some vacation ideas this summer?
Answer: Summer is a great time to go on vacation especially to enjoy the outdoor. Most commonly visited places during summer are beaches for some water fun, mountains if looking for a calm retreat, a nice lake with recreation options or even a amusement parks since it's holiday time for kids.
Question: From the passage provided, extract the different bordering regions to Southeast Asia
Evidence: Southeast Asia, also spelled South East Asia and South-East Asia, and also known as Southeastern Asia, South-eastern Asia or SEA, is the geographical south-eastern region of Asia, consisting of the regions that are situated south of mainland China, east of the Indian subcontinent, and north-west of mainland Australia which is part of Oceania. Southeast Asia is bordered to the north by East Asia, to the west by South Asia and the Bay of Bengal, to the east by Oceania and the Pacific Ocean, and to the south by Australia and the Indian Ocean. Apart from the British Indian Ocean Territory and two out of 26 atolls of Maldives in South Asia, Maritime Southeast Asia is the only other subregion of Asia that lies partly within the Southern Hemisphere. Mainland Southeast Asia is completely in the Northern Hemisphere. Timor-Leste and the southern portion of Indonesia are the only parts in Southeast Asia that are south of the Equator.
Answer: Southeast Asia is bordered to the north by East Asia, to the west by South Asia and the Bay of Bengal, to the east by Oceania and the Pacific Ocean, and to the south by Australia and the Indian Ocean.
Question: What is OEE in manufacturing?
Answer: OEE stands for Overall Equipment Effectiveness. OEE is computed by multiplying machine availability, process efficiency and product quality. 

In manufacturing, the OEE metric is used by different teams for a variety of objectives. On the manufacturing shop floor, for instance, OEE is used to identify lagging processes. Business executives on the other hand may use aggregated values to monitor the overall performance of their manufacturing business. In addition, OEE is used as an indicator to evaluate the need to modernize equipment, i.e. to justify CAPEX investments and to monitor the return on invested capital (ROIC). In this instance, OEE is used as the metric for sweating assets.
Question: What automatic and human evaluation metrics are used to compare SPNet to its counterparts?
Evidence: We also perform human evaluation to verify if our method's increased performance on automatic evaluation metrics entails better human perceived quality. We randomly select 100 test samples from MultiWOZ test set for evaluation. We recruit 150 crowd workers from Amazon Mechanical Turk. For each sample, we show the conversation, reference summary, as well as summaries generated by Pointer-Generator and SPNet to three different participants. The participants are asked to score each summary on three indicators: relevance, conciseness and readability on a 1 to 5 scale, and rank the summary pair (tie allowed).
We show all the models' results in Table TABREF24. We observe that SPNet reaches the highest score in both ROUGE and CIC. Both Pointer-Generator and Transformer achieve high ROUGE scores, but a relative low CIC scores. It suggests that the baselines have more room for improvement on preserving critical slot information. All the scaffolds we propose can be applied to different neural network models. In this work we select Pointer-Generator as our base model in SPNet because we observe that Transformer only has a small improvement over Pointer-Generator but is having a higher cost on training time and computing resources. We observe that SPNet outperforms other methods in all the automatic evaluation metrics with a big margin, as it incorporates all the three semantic scaffolds. Semantic slot contributes the most to SPNet's increased performance, bringing the largest increase on all automatic evaluation metrics.
The participants are asked to score each summary on three indicators: relevance, conciseness and readability on a 1 to 5 scale, and rank the summary pair (tie allowed).
We observe that SPNet reaches the highest score in both ROUGE and CIC
Answer: The answers are shown as follows:
* ROUGE and CIC
* relevance, conciseness and readability on a 1 to 5 scale, and rank the summary pair
Question: What is the meaning of life?
Answer: Some say it's love and family, others say it's 42. I say you should probably figure this one out for yourself.
Question: Do they compare with the MAML algorithm?
Evidence: We compare our method to the following baselines: (1) Single-task CNN: training a CNN model for each task individually; (2) Single-task FastText: training one FastText model BIBREF23 with fixed embeddings for each individual task; (3) Fine-tuned the holistic MTL-CNN: a standard transfer-learning approach, which trains one MTL-CNN model on all the training tasks offline, then fine-tunes the classifier layer (i.e. $\mathrm {M}^{(cls)}$ Figure 1 (a)) on each target task; (4) Matching Network: a metric-learning based few-shot learning model trained on all training tasks; (5) Prototypical Network: a variation of matching network with different prediction function as Eq. 9 ; (6) Convex combining all single-task models: training one CNN classifier on each meta-training task individually and taking the encoder, then for each target task training a linear combination of all the above single-task encoders with Eq. ( 24 ). This baseline can be viewed as a variation of our method without task clustering. We initialize all models with pre-trained 100-dim Glove embeddings (trained on 6B corpus) BIBREF24 .
We compare our method to the following baselines: (1) Single-task CNN: training a CNN model for each task individually; (2) Single-task FastText: training one FastText model BIBREF23 with fixed embeddings for each individual task; (3) Fine-tuned the holistic MTL-CNN: a standard transfer-learning approach, which trains one MTL-CNN model on all the training tasks offline, then fine-tunes the classifier layer (i.e. $\mathrm {M}^{(cls)}$ Figure 1 (a)) on each target task; (4) Matching Network: a metric-learning based few-shot learning model trained on all training tasks; (5) Prototypical Network: a variation of matching network with different prediction function as Eq. 9 ; (6) Convex combining all single-task models: training one CNN classifier on each meta-training task individually and taking the encoder, then for each target task training a linear combination of all the above single-task encoders with Eq. ( 24 ). 
Answer: No.
Question: What is a multiverse?
Evidence: Some physicists say the multiverse is not a legitimate topic of scientific inquiry. Concerns have been raised about whether attempts to exempt the multiverse from experimental verification could erode public confidence in science and ultimately damage the study of fundamental physics. Some have argued that the multiverse is a philosophical notion rather than a scientific hypothesis because it cannot be empirically falsified. The ability to disprove a theory by means of scientific experiment is a critical criterion of the accepted scientific method. Paul Steinhardt has famously argued that no experiment can rule out a theory if the theory provides for all possible outcomes.
Answer: While there is nothing scientific around the term multiverse, the term has been popularized by science fiction, and conveys the idea that there are many iterations of universes that are tied together, but each in it's own way unique
Question: What hemispheres is the United States in?
Answer: The US is in the Northern and Western Hemispheres
Question: Identify which instrument is string or percussion: Mbira, Chanzy
Answer: Chanzy is string, Mbira is percussion.
Question: What are some creative inspirations for a beginner photographer?
Answer: First and foremost, change the scenery. Travel to a new city. Take a walk in a new neighborhood. Adventure into the nature. A fresh sight to behold may inspire you in ways you never thought would be possible.

Second, vary the lighting conditions. Revisit your familiar photo spots at different hours - during the sunrise, sunset, at noon, in pitch darkness and of course, during the golden hours when the world around you embraces that warm glow.

Third, limit your gear options. Do you love zoom lenses? Try committing to a single prime lens for your next photo walk. Try out a super-telephoto lens for a landscape shot. Use a wide angle lens for a portrait photo. Limiting your gear options will force you to worry less about which lens to use and think more about getting the shot with the unique constraints you have.

Fourth, take some time to look around with your eyes before looking through the viewfinder. Take a look at the scenery. Imagine - without looking - how your lens will render the scene. Think ahead about the depth of field you want, think about the composition ahead.

Last but not the least, try out different types of photography. Try a hike to a scenic location for a great landscape shot,. Take photos of people, especially your loved ones. Try to photograph wildlife and birds. Take your camera to the city street and snap away the city scapes and the people. Try indoor photography if you haven't. Experiment with artificial lighting and flashes.
Question: How many twitter users are surveyed using the clinically validated survey?
Evidence: We download 210 users' all twitter posts who are war veterans and clinically diagnosed with PTSD sufferers as well which resulted a total 12,385 tweets. Fig FIGREF16 shows each of the 210 veteran twitter users' monthly average tweets. We categorize these Tweets into two groups: Tweets related to work and Tweets not related to work. That is, only the Tweets that use a form of the word “work*” (e.g. work,worked, working, worker, etc.) or “job*” (e.g. job, jobs, jobless, etc.) are identified as work-related Tweets, with the remaining categorized as non-work-related Tweets. This categorization method increases the likelihood that most Tweets in the work group are indeed talking about work or job; for instance, “Back to work. Projects are firing back up and moving ahead now that baseball is done.” This categorization results in 456 work-related Tweets, about 5.4% of all Tweets written in English (and 75 unique Twitter users). To conduct weekly-level analysis, we consider three categorizations of Tweets (i.e. overall Tweets, work-related Tweets, and non work-related Tweets) on a daily basis, and create a text file for each week for each group.
We download 210 users' all twitter posts who are war veterans and clinically diagnosed with PTSD sufferers as well which resulted a total 12,385 tweets. 
Answer: The answers are shown as follows:
* 210
Question: Give me a list of south Indian breakfast dishes I should try.
Answer: Some of the south Indian breakfast dishes you could try are:
* Dosa
* Idly
* Appam
* Puttu
* Vada
* Pongal
* Upma
* Idiyappam
* Uttappam
Question: What is the difference between futures and options?
Answer: An option gives the buyer the right, but not the obligation, to buy (or sell) an asset at a specific price at any time during the life of the contract. A futures contract obligates the buyer to purchase a specific asset, and the seller to sell and deliver that asset, at a specific future date.
Question: How are the substitution rules built?
Evidence: In this paper, we describe and evaluate Nefnir BIBREF0 , a new open source lemmatizer for Icelandic. Nefnir uses suffix substitution rules derived (learned) from the Database of Modern Icelandic Inflection (DMII) BIBREF1 , which contains over 5.8 million inflectional forms.
In this paper, we describe and evaluate Nefnir BIBREF0 , a new open source lemmatizer for Icelandic. Nefnir uses suffix substitution rules derived (learned) from the Database of Modern Icelandic Inflection (DMII) BIBREF1 , which contains over 5.8 million inflectional forms.
Answer: The answers are shown as follows:
* from the Database of Modern Icelandic Inflection (DMII) BIBREF1
Question: What is a group loan?
Answer: A lending mechanism which allows a group of individuals - often called a solidarity group to provide collateral or loan guarantee through a group repayment pledge. The incentive to repay the loan is based on peer pressure, if one group member defaults, the other group members make up the payment amount.
Question: What is a lawn mower?
Evidence: A lawn mower (also known as a mower, grass cutter or lawnmower) is a device utilizing one or more revolving blades (or a reel) to cut a grass surface to an even height. The height of the cut grass may be fixed by the design of the mower, but generally is adjustable by the operator, typically by a single master lever, or by a lever or nut and bolt on each of the machine's wheels. The blades may be powered by manual force, with wheels mechanically connected to the cutting blades so that when the mower is pushed forward, the blades spin or the machine may have a battery-powered or plug-in electric motor. The most common self-contained power source for lawn mowers is a small (typically one cylinder) internal combustion engine. Smaller mowers often lack any form of propulsion, requiring human power to move over a surface; "walk-behind" mowers are self-propelled, requiring a human only to walk behind and guide them. Larger lawn mowers are usually either self-propelled "walk-behind" types or more often, are "ride-on" mowers, equipped so the operator can ride on the mower and control it. A robotic lawn mower ("lawn-mowing bot", "mowbot", etc.) is designed to operate either entirely on its own or less commonly by an operator by remote control.
Answer: A lawn mower is a machine that uses blades to cut grass to a desired height.
Question: What are the characteristics of the dataset?
Evidence: We use the Ultrax Typically Developing dataset (UXTD) from the publicly available UltraSuite repository BIBREF19 . This dataset contains synchronized acoustic and ultrasound data from 58 typically developing children, aged 5-12 years old (31 female, 27 male). The data was aligned at the phone-level, according to the methods described in BIBREF19 , BIBREF25 . For this work, we discarded the acoustic data and focused only on the B-Mode ultrasound images capturing a midsaggital view of the tongue. The data was recorded using an Ultrasonix SonixRP machine using Articulate Assistant Advanced (AAA) software at INLINEFORM0 121fps with a 135 field of view. A single ultrasound frame consists of 412 echo returns from each of the 63 scan lines (63x412 raw frames). For this work, we only use UXTD type A (semantically unrelated words, such as pack, tap, peak, tea, oak, toe) and type B (non-words designed to elicit the articulation of target phones, such as apa, eepee, opo) utterances.
We use the Ultrax Typically Developing dataset (UXTD) from the publicly available UltraSuite repository BIBREF19 . This dataset contains synchronized acoustic and ultrasound data from 58 typically developing children, aged 5-12 years old (31 female, 27 male). The data was aligned at the phone-level, according to the methods described in BIBREF19 , BIBREF25 .
The data was recorded using an Ultrasonix SonixRP machine using Articulate Assistant Advanced (AAA) software at INLINEFORM0 121fps with a 135 field of view. A single ultrasound frame consists of 412 echo returns from each of the 63 scan lines (63x412 raw frames).
Answer: The answers are shown as follows:
* synchronized acoustic and ultrasound data from 58 typically developing children, aged 5-12 years old (31 female, 27 male)
* data was aligned at the phone-level
* 121fps with a 135 field of view
* single ultrasound frame consists of 412 echo returns from each of the 63 scan lines (63x412 raw frames)
Question: What are some of the achievements of James Hightower
Answer: James Allen Hightower (born January 11, 1943) is an American syndicated columnist, progressive political activist, and author. From 1983 to 1991 he served as the elected commissioner of the Texas Department of Agriculture. He publishes a monthly newsletter that is notable for its in-depth investigative reporting, The Hightower Lowdown.
Question: Who was the second man to set foot on the moon
Answer: Buzz Aldrin. He was also the first person to hold a religious ceremony on the Moon when he privately took communion.
Question: Extract the names of universities from this paragraph and separate them by semicolons (;).
Evidence: The first NCAA tournament was organized by the National Association of Basketball Coaches. Oregon won the inaugural tournament, defeating Ohio State 46–33 in the first championship game. Before the 1941 tournament, control of the event was given to the NCAA. In the early years of the tournament, it was considered less important than the National Invitation Tournament (NIT), a New York City-based event. Teams were able to compete in both events in the same year, and three of those that did so—Utah in 1944, Kentucky in 1949, and City College of New York (CCNY) in 1950—won the NCAA Tournament. The 1949–50 CCNY team won both tournaments (defeating Bradley in both finals), and is the only college basketball team to accomplish this feat. By the mid-1950s, the NCAA Tournament became the more prestigious of the two events, and in 1971 the NCAA barred universities from playing in other tournaments, such as the NIT, if they were invited to the NCAA Tournament. The 2013 championship won by Louisville was the first men's basketball national title to ever be vacated by the NCAA after the school and its coach at the time, Rick Pitino, were implicated in a 2015 sex scandal involving recruits.
Answer: Oregon; Ohio State; Utah; Kentucky; City College of New York (CCNY); Bradley; NIT; Louisville
Question: What is the process called by which matter is converted from a solid directly into gas?
Answer: Sublimation
Question: "William Bowery" is a pseudonym for whom?
Answer: Joe Alwyn
Question: What happens during the section called "Giggle Box"?
Evidence: The TV series was starred and created by Justin Fletcher, who plays the characters in all of the comedy sketches and also wrote a few sketches in its first series. Some of the sketches are filmed in the studio, while other sketches are filmed outside; for example, one is filmed at Portmeirion, used for the fictional town of Wiggyville where Captain Adorable's sketches are set from Series 1 to 2. The show is interspersed with a selection of children called the Gigglekids, who tell jokes to Justin himself, in their own section called 'Giggle Box'.
Answer: Children called the Gigglekids tell jokes to Justin.
Question: What is the Altair based on the paragraph?
Evidence: Childhood friends Bill Gates and Paul Allen sought to make a business using their skills in computer programming. In 1972, they founded Traf-O-Data, which sold a rudimentary computer to track and analyze automobile traffic data. Gates enrolled at Harvard University while Allen pursued a degree in computer science at Washington State University, though he later dropped out to work at Honeywell. The January 1975 issue of Popular Electronics featured Micro Instrumentation and Telemetry Systems's (MITS) Altair 8800 microcomputer, which inspired Allen to suggest that they could program a BASIC interpreter for the device. Gates called MITS and claimed that he had a working interpreter, and MITS requested a demonstration. Allen worked on a simulator for the Altair while Gates developed the interpreter, and it worked flawlessly when they demonstrated it to MITS in March 1975 in Albuquerque, New Mexico. MITS agreed to distribute it, marketing it as Altair BASIC.: 108, 112–114  Gates and Allen established Microsoft on April 4, 1975, with Gates as CEO, and Allen suggested the name "Micro-Soft", short for micro-computer software. In August 1977, the company formed an agreement with ASCII Magazine in Japan, resulting in its first international office of ASCII Microsoft. Microsoft moved its headquarters to Bellevue, Washington, in January 1979.
Answer: The Altair as mentioned in the paragraph was a microcomputer developed by Micro Instrumentation and Telemetry Systems's (MITS). Its official name was the "Altair 8800 microcomputer". Altair BASIC was an interpreter that Bill Gates developed and demonstrated to MITS in March 1975 in Albuquerque, New Mexico. Paul Allen also worked on a simulator for the Altair.
Question: Suggest some TV shows I should watch in a few different genres.
Answer: Mystery:
White Collar
The Flight Attendant

Sci-Fi:
For All Mankind
Firefly

Comedy:
Ted Lasso
Schitt's Creek

Superhero:
Titans
Loki