dataset stringclasses 9
values | input stringlengths 351 18.6k | output stringlengths 8 7.48k | id stringlengths 20 47 | messages listlengths 2 2 |
|---|---|---|---|---|
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["cohort B, the administration of hCG occurred just prior to embryo transfer on day 5 with top blastocysts and with non-top blastocysts ", "control", "live birth rates (LBR)", "no significant difference", "In cohort B, LBR with top blastocysts was 53.3 % (hCG) and 48.4 % (control), with non-top blastocysts it came to ... | science.evidence_inference.151 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
Most termination events in Okazaki fragments are dictated by initiation patterns.
Research Abstract:
Many fundamental aspects of DNA replication, such as the exact locations where DNA synthesis is initiated and terminated, how fre... | {"verdict": "SUPPORT", "evidence": ["The replication profile is predominantly determined by the kinetics of origin firing, allowing us to reconstruct chromosome-wide timing profiles from an asynchronous culture."]} | science.scifact_entailment.519 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nMost termination events in Okazaki fragments are dictated by initiation patterns.\n\nResearch Abstract:\nMany fundamental aspects of DNA replication, such as the exact locations where DNA synthesis is initiat... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Adversarial Reweighting for Partial Domain Adaptation
Main Content:
1 Introduction . Deep learning has achieved impressive success in image recognition [ 15 , 20 ,... | The paper introduces the adversarial reweighting (AR) technique for estimating weights in the source domain. Compared to the previous methods on partial domain adaptation, the proposed method seems robust on the effect of negative domain transfer during the adaptation. Authors demonstrate the effectiveness of AR in sev... | science.mup_single_document_summarization.15412 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nAdversarial Reweighting for Partial Domain Adaptation\n\nMain Content:\n1 Introduction . Deep learning has achieved impressive success in i... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Mannoheptulose", "Control", "Body weight", "no significant difference", "Diet did not affect body weight, resting EE or skeletal muscle AMPK phosphorylation."], ["Mannoheptulose", "Control", "Resting energy expenditure", "no significant difference", "Diet did not affect body weight, resting EE or skeletal muscle AMP... | science.evidence_inference.139 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Dive Deeper Into Integral Pose Regression
Main Content:
1 INTRODUCTION . 2D human pose estimation aims to detect the image coordinates of the body and or the hand ... | This paper investigates the performance inconsistency of integral pose regression (IPR) methods on 'easy' pose samples and 'hard' pose samples (v.s. argmax methods). The authors find that the heatmap shrinkage caused by the IPR methods leads to the lower accuracy on 'easy' samples than argmax based methods. They give s... | science.mup_single_document_summarization.7396 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nDive Deeper Into Integral Pose Regression\n\nMain Content:\n1 INTRODUCTION . 2D human pose estimation aims to detect the image coordinates ... |
science.scierc_ner | Analyze the given abstract from a computer science paper. Identify and list entities in a structured JSON format. Focus on capturing distinct elements relevant to the research context.
Input Abstract:
We present the first application of the head-driven statistical parsing model of Collins (1999) as a simultaneous lan... | Output Entities:
{"Generic": [], "Material": ["lattice corpora", "Wall Street Journal treebank"], "Method": ["online left to right chart-parser", "n-gram models", "n-gram language model", "head-driven statistical parsing model", "simultaneous language model"], "Metric": ["word error rates"], "OtherScientificTerm": ["w... | science.scierc_ner.22 | [
{
"content": "Analyze the given abstract from a computer science paper. Identify and list entities in a structured JSON format. Focus on capturing distinct elements relevant to the research context.\n\nInput Abstract:\n\nWe present the first application of the head-driven statistical parsing model of Collins (1... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Background"] | science.multicite_intent_classification.2122 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.qasper_abstractive_qa | Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.
Document Content:
Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation
Both grammatical error correction and text style transfer can be viewed as monolingual se... | {"answer": "Data already contain errors", "evidence": ["Test Data and Metrics", "We use the following error-corrected corpora both for scoring and as basis for manual analysis:", "for English: CoNLL-2014 BIBREF5 and JFLEG BIBREF20 corpora", "for Estonian: the Learner Language Corpus BIBREF21", "for Latvian: the Error-a... | science.qasper_abstractive_qa.266.0 | [
{
"content": "Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.\n\nDocument Content:\n\nGrammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation\n\nBoth grammatical error correction and text style transfer can... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Connecting Sphere Manifolds Hierarchically for Regularization
Main Content:
1 INTRODUCTION . Applying inductive biases or prior knowledge to inference models is a ... | In this paper, the authors proposed a novel reparameterization framework of the last network layer that takes semantic hierarchy into account. Specifically, the authors assume a predefined hierarchy graph, and model the classifier of child classes as a parent classifier plus offsets $\delta$ recursively. The authors sh... | science.mup_single_document_summarization.129 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nConnecting Sphere Manifolds Hierarchically for Regularization\n\nMain Content:\n1 INTRODUCTION . Applying inductive biases or prior knowled... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
Charcoal is an effective treatment for acute paraquat poisoning.
Research Abstract:
The present study retrospectively analyzed 19 patients diagnosed with paraquat (PQ) poisoning with the aim to investigate the effect of activated ... | {"verdict": "CONTRADICT", "evidence": ["Activated charcoal hemoperfusion had little effect on avoiding acute kidney injury in patients with severe PQ poisoning."]} | science.scifact_entailment.162 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nCharcoal is an effective treatment for acute paraquat poisoning.\n\nResearch Abstract:\nThe present study retrospectively analyzed 19 patients diagnosed with paraquat (PQ) poisoning with the aim to investigat... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
FACT and other histone chaperone(s) compensate for Histone 2A (H2A)-histone 2B (H2B) dimer eviction during the histone exchange process.
Research Abstract:
FACT, a heterodimer of Spt16 and Pob3, is an essential histone chaperone.
... | {"verdict": "NEI", "evidence": []} | science.scifact_entailment.272 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nFACT and other histone chaperone(s) compensate for Histone 2A (H2A)-histone 2B (H2B) dimer eviction during the histone exchange process.\n\nResearch Abstract:\nFACT, a heterodimer of Spt16 and Pob3, is an ess... |
science.qasper_abstractive_qa | Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.
Document Content:
UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish
The present study describes our submission to SemEval 2018 Task 1:... | {"answer": " Selection of tweets with for each tweet a label describing the intensity of the emotion or sentiment provided by organizers and tweets translated form English to Spanish.", "evidence": ["For each task, the training data that was made available by the organizers is used, which is a selection of tweets with... | science.qasper_abstractive_qa.236.1 | [
{
"content": "Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.\n\nDocument Content:\n\nUG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish\n\nThe present study describes our submis... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Enriching Knowledge Bases with Interesting Negative Statements
Main Content:
In this paper , we make the case for explicitly stating interesting statements which a... | The paper addresses the problem of negative statements in knowledgebase. They formalize the types of negative statements: (a) grounded statement: [s,p,o] does not exist in KB, (b) not exist [s, p, o] (there's no object that satisfy s,p]. To find negative statements, they proposes two methods (a) peer-based candidate re... | science.mup_single_document_summarization.16704 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nEnriching Knowledge Bases with Interesting Negative Statements\n\nMain Content:\nIn this paper , we make the case for explicitly stating in... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Main Content:
1 INTRODUCTION . Score-based generative models ( SGMs ) and denoising diffu... | The authors propose critically-damped Langevin dynamics (CLD) for score-based generative modeling. This consists of a higher-order Langevin dynamics scheme with particle velocity and position coupled to each other, as in Hamiltonian dynamics. The Langevin dynamics is critical in the sense that it is neither over- nor u... | science.mup_single_document_summarization.9182 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nScore-Based Generative Modeling with Critically-Damped Langevin Diffusion\n\nMain Content:\n1 INTRODUCTION . Score-based generative models ... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
Androgenetic haploid mouse embryonic stem cells (ESCs) can be derived and genetically manipulated in vitro.
Research Abstract:
Haploid cells are amenable for genetic analysis.
Recent success in the derivation of mouse haploid embr... | {"verdict": "SUPPORT", "evidence": ["Strikingly, live mice can be obtained upon injection of AG-haESCs into MII oocytes, and these mice bear haESC-carried genetic traits and develop into fertile adults.", "Our results demonstrate that AG-haESCs can be used as a genetically tractable fertilization agent for the producti... | science.scifact_entailment.85 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nAndrogenetic haploid mouse embryonic stem cells (ESCs) can be derived and genetically manipulated in vitro.\n\nResearch Abstract:\nHaploid cells are amenable for genetic analysis.\nRecent success in the deriv... |
science.discomat_te | | Compound | Glass sample | Glass sample | Glass sample | Glass sample | Glass sample | Glass sample |
| Compound | SBNx | SBNx | SBNxCs | SBNxCs | SBNxVy | SBNx... | {"value": "42.3", "type": "Glass_Compound_Amount", "constituent": "SiO2", "unit": "wt", "material": "SBNx"}
{"value": "58.3", "type": "Other"}
{"value": "41", "type": "Glass_Compound_Amount", "constituent": "SiO2", "unit": "wt", "material": "SBNx"}
{"value": "59", "type": "Other"}
{"value": "42.5", "type": "Glass_Compo... | science.discomat_te.64 | [
{
"content": "| Compound | Glass sample | Glass sample | Glass sample | Glass sample | Glass sample | Glass sample |\n| Compound | SBNx | SBNx | SBNxCs | SBNxCs | SBNxV... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
EGR2 is important to myelination of the peripheral nervous system.
Research Abstract:
Lymphocytes provide optimal responses against pathogens with minimal inflammatory pathology.
However, the intrinsic mechanisms regulating these ... | {"verdict": "NEI", "evidence": []} | science.scifact_entailment.237 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nEGR2 is important to myelination of the peripheral nervous system.\n\nResearch Abstract:\nLymphocytes provide optimal responses against pathogens with minimal inflammatory pathology.\nHowever, the intrinsic m... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
Taxation of sugar-sweetened beverages reduced the incidence rate of type II diabetes in India.
Research Abstract:
BACKGROUND Taxing sugar-sweetened beverages (SSBs) has been proposed in high-income countries to reduce obesity and ... | {"verdict": "SUPPORT", "evidence": ["The 20% SSB tax was anticipated to reduce overweight and obesity prevalence by 3.0% (95% CI 1.6%-5.9%) and type 2 diabetes incidence by 1.6% (95% CI 1.2%-1.9%) among various Indian subpopulations over the period 2014-2023, if SSB consumption continued to increase linearly in accorda... | science.scifact_entailment.748 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nTaxation of sugar-sweetened beverages reduced the incidence rate of type II diabetes in India.\n\nResearch Abstract:\nBACKGROUND Taxing sugar-sweetened beverages (SSBs) has been proposed in high-income countr... |
science.biored_ner | Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: ["CellLine", "Variant", "Species", "Disease", "Chemical", "Gene"].
Ensure the output is strictly the JSON object.
Source Text:
Identification of apolipoprotein E Guangzhou (arginine 150 proline), a new variant... | {"CellLine": [], "Chemical": ["lipids"], "Disease": ["LPG", "thrombus", "lipoprotein glomerulopathy", "Lipoprotein glomerulopathy", "dilated glomerular capillaries", "proteinuria"], "Gene": ["apolipoprotein E", "apoE"], "Species": ["patients"], "Variant": ["proline residue for arginine residue at position 150", "argini... | science.biored_ner.8 | [
{
"content": "Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: [\"CellLine\", \"Variant\", \"Species\", \"Disease\", \"Chemical\", \"Gene\"].\n\nEnsure the output is strictly the JSON object.\n\nSource Text:\n\nIdentification of apolipoprotein E Guangzh... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Biperiden", "Placebo", "Learned irrelevance index", "no significant difference", "Biperiden had no effect on the behavioural LIrr measures,"]] | science.evidence_inference.148 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
Angiotensin converting enzyme inhibitors are associated with decreased risk for functional renal insufficiency.
Research Abstract:
Angiotensin converting enzyme (ACE) inhibitors are now one of the most frequently used classes of a... | {"verdict": "CONTRADICT", "evidence": ["Although ACE inhibitor therapy usually improves renal blood flow (RBF) and sodium excretion rates in CHF and reduces the rate of progressive renal injury in chronic renal disease, its use can also be associated with a syndrome of \u201cfunctional renal insufficiency\u201d and/or ... | science.scifact_entailment.86 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nAngiotensin converting enzyme inhibitors are associated with decreased risk for functional renal insufficiency.\n\nResearch Abstract:\nAngiotensin converting enzyme (ACE) inhibitors are now one of the most fr... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
RUNX1 is downregulated or mutated in TLX1 T-ALL.
Research Abstract:
The TLX1 and TLX3 transcription factor oncogenes have a key role in the pathogenesis of T cell acute lymphoblastic leukemia (T-ALL).
Here we used reverse engineer... | {"verdict": "SUPPORT", "evidence": ["Notably, a network structure analysis of this hierarchical network identified RUNX1 as a key mediator of the T-ALL induced by TLX1 and TLX3 and predicted a tumor-suppressor role for RUNX1 in T cell transformation.", "Overall, these results place TLX1 and TLX3 at the top of an oncoge... | science.scifact_entailment.661 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nRUNX1 is downregulated or mutated in TLX1 T-ALL.\n\nResearch Abstract:\nThe TLX1 and TLX3 transcription factor oncogenes have a key role in the pathogenesis of T cell acute lymphoblastic leukemia (T-ALL).\nHe... |
science.biored_ner | Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: ["CellLine", "Variant", "Species", "Disease", "Chemical", "Gene"].
Ensure the output is strictly the JSON object.
Source Text:
Succimer chelation improves learning, attention, and arousal regulation in lead-ex... | {"CellLine": [], "Chemical": ["Succimer", "succimer", "Pb", "lead"], "Disease": ["impairments in learning, attention, inhibitory control, and arousal regulation", "Pb poisoning", "cognitive deficits", "cognitive impairment", "cognitive and affective dysfunction"], "Gene": [], "Species": ["rats"], "Variant": []} | science.biored_ner.87 | [
{
"content": "Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: [\"CellLine\", \"Variant\", \"Species\", \"Disease\", \"Chemical\", \"Gene\"].\n\nEnsure the output is strictly the JSON object.\n\nSource Text:\n\nSuccimer chelation improves learning, atte... |
science.discomat_te | | No. | (1) | (2) | (3) | (4) | (6) | (7) | (8) | (9) | (12) | (13) | (14) | (15) |
| T0 (%) | 78.59 | 79.63 | 79.11 | 79.06 | 76.58 | 78.45 | 76.84 | 79.31 | 79.01 | 75.33 | 70.60 | 74.46 |
Caption: The maximum transmission of glass samples.
Examine the table provided from a materials science ... | {"value": "1", "type": "Other"}
{"value": "2", "type": "Other"}
{"value": "3", "type": "Other"}
{"value": "4", "type": "Other"}
{"value": "6", "type": "Other"}
{"value": "7", "type": "Other"}
{"value": "8", "type": "Other"}
{"value": "9", "type": "Other"}
{"value": "12", "type": "Other"}
{"value": "13", "type": "Other"... | science.discomat_te.56 | [
{
"content": "| No. | (1) | (2) | (3) | (4) | (6) | (7) | (8) | (9) | (12) | (13) | (14) | (15) |\n| T0 (%) | 78.59 | 79.63 | 79.11 | 79.06 | 76.58 | 78.45 | 76.84 | 79.31 | 79.01 | 75.33 | 70.60 | 74.46 |\n\nCaption: The maximum transmission of glass samples.\n\nExamine the table provide... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Main Content:
1 Introduction . Logistic regression is a workhorse in statis... | The paper is based on a work by Sur and Candès (2019) who propose a way to correct the bias of the MLE estimator and correct confidence intervals and p-values for logistic regression. The results in Sur Candes are asymptotic results n \to \infty but assume a fixed aspect ration $p / n = \kappa$ where p is the number of... | science.mup_single_document_summarization.11452 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nSLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression\n\nMain Content:\n1 Introduction . Logistic regress... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Main Content:
1 Introduction . As deep networks become more e... | The model aims to train a pair of two ConvNets in the setup of the so-called discrimination game -- one ConvNet (sender) can pass discrete information to the other ConvNet (receiver) to identify the same image presented to the Sender among a set of images. Generating such discrete (bottlenecked) information is learned ... | science.mup_single_document_summarization.12775 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nInterpretable agent communication from scratch (with a generic visual processor emerging on the side)\n\nMain Content:\n1 Introduction . As... |
science.bioasq_list_qa | Examine the following excerpts from biomedical literature. Your objective is to extract relevant information to answer the posed question. Format your answer as a JSON array.
Context: Recently, Gordon syndrome has been associated to heterozygous mutations in the piezo-type mechanosensitive ion channel component 2 gene... | ["Gordon syndrome", "distal arthrogryposis type 5", "Marden-Walker syndrome"] | science.bioasq_list_qa.421 | [
{
"content": "Examine the following excerpts from biomedical literature. Your objective is to extract relevant information to answer the posed question. Format your answer as a JSON array.\n\nContext: Recently, Gordon syndrome has been associated to heterozygous mutations in the piezo-type mechanosensitive ion ... |
science.discomat_te | | Transition | Mean wavelength (nm) | A (s-1) | b (%) | t rad (ms) |
| 3H4 - 3H5 | 2369.3 | 17.4 | 2.2 | 1.2 |
| - 3F4 | 1459.5 | 62.7 | 8.0 | |
| - 3H6 | 801.6 | 703.9 | 89.8 | |
| | | ... | {"value": "2369.3", "type": "Other"}
{"value": "17.4", "type": "Other"}
{"value": "2.2", "type": "Other"}
{"value": "1.2", "type": "Other"}
{"value": "1459.5", "type": "Other"}
{"value": "62.7", "type": "Other"}
{"value": "8.0", "type": "Other"}
{"value": "801.6", "type": "Other"}
{"value": "703.9", "type": "Other"}
{"... | science.discomat_te.148 | [
{
"content": "| Transition | Mean wavelength (nm) | A (s-1) | b (%) | t rad (ms) |\n| 3H4 - 3H5 | 2369.3 | 17.4 | 2.2 | 1.2 |\n| - 3F4 | 1459.5 | 62.7 | 8.0 | |\n| - 3H6 | 801.6 | 703.9 | 89.8 | |\n| | ... |
science.discomat_te | | b (K/min) | First crystallization curve | First crystallization curve | First crystallization curve | | Second crystallization curve | Second crystallization curve | Second crystallization curve | Second crystallization curve |
| b (K/min) | T p1 (K) | 103(dkh/dt)(s-1) | n 1 ... | {"value": "103", "type": "Other"}
{"value": "103", "type": "Other"}
{"value": "5", "type": "Other"}
{"value": "1061", "type": "Other"}
{"value": "0.0014", "type": "Other"}
{"value": "2.034", "type": "Other"}
{"value": "2.1257", "type": "Other"}
{"value": "1077", "type": "Other"}
{"value": "0.0019", "type": "Other"}
{"v... | science.discomat_te.440 | [
{
"content": "| b (K/min) | First crystallization curve | First crystallization curve | First crystallization curve | | Second crystallization curve | Second crystallization curve | Second crystallization curve | Second crystallization curve |\n| b (K/min) | T p1 (K) | 103(dkh/dt)(s-1)... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Zero-Shot Coordination via Semantic Relationships Between Actions and Observations
Main Content:
1 INTRODUCTION . Successful collaboration between agents requires ... | This paper explores several architectures for reinforcement-learning in the context of a newly proposed card game (Hinter-Guesser). A number of the architectures seem to have poor performance on the game. Moreover, whatever they learn is not compatible with what other learners learn, so that they cannot mutually unders... | science.mup_single_document_summarization.6772 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nZero-Shot Coordination via Semantic Relationships Between Actions and Observations\n\nMain Content:\n1 INTRODUCTION . Successful collaborat... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Differences"] | science.multicite_intent_classification.2023 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.discomat_te | | Atomic pair | Distance (A) | Coordination number | FWHM (A) |
| Si-O | 1.62 | 4.1+-0.1 | 0.060+-0.005 |
| Ti-O(short) | 1.68 | 0.8+-0.1 | 0.060+-0.005 |
| Ti-O(long) | 1.96 | 4.0+-0.1 | 0.08+-0.05 |
| O-O | 2.66 | 5.0+-0.1 ... | {"value": "1.62", "type": "Other"}
{"value": "4.1", "type": "Other"}
{"value": "0.060", "type": "Other"}
{"value": "1.68", "type": "Other"}
{"value": "0.8", "type": "Other"}
{"value": "0.060", "type": "Other"}
{"value": "1.96", "type": "Other"}
{"value": "4.0", "type": "Other"}
{"value": "0.08", "type": "Other"}
{"valu... | science.discomat_te.205 | [
{
"content": "| Atomic pair | Distance (A) | Coordination number | FWHM (A) |\n| Si-O | 1.62 | 4.1+-0.1 | 0.060+-0.005 |\n| Ti-O(short) | 1.68 | 0.8+-0.1 | 0.060+-0.005 |\n| Ti-O(long) | 1.96 | 4.0+-0.1 | 0.08+-0.05 |\n| O-O | 2.66 ... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
Destination container port throughput(CPT) is positively related to dengue virus (DENV-1) diffusion in air traffic shipments.
Research Abstract:
BACKGROUND Aedes aegypti, the major vector of dengue viruses, often breeds in water s... | {"verdict": "NEI", "evidence": []} | science.scifact_entailment.218 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nDestination container port throughput(CPT) is positively related to dengue virus (DENV-1) diffusion in air traffic shipments.\n\nResearch Abstract:\nBACKGROUND Aedes aegypti, the major vector of dengue viruse... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Differences"] | science.multicite_intent_classification.612 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["FutureWork"] | science.multicite_intent_classification.288 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.qasper_abstractive_qa | Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.
Document Content:
Emotion Detection in Text: Focusing on Latent Representation
In recent years, emotion detection in text has become more popular due to its vast potential applications in marke... | {"answer": "They use the embedding layer with a size 35 and embedding dimension of 300. They use a dense layer with 70 units and a dropout layer with a rate of 50%.", "evidence": ["Minimal pre-processing was done by converting text to lower case, removing the hashtags at the end of tweets and separating each punctuatio... | science.qasper_abstractive_qa.138.0 | [
{
"content": "Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.\n\nDocument Content:\n\nEmotion Detection in Text: Focusing on Latent Representation\n\nIn recent years, emotion detection in text has become more popular due to its vast pot... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Training-based strategies (experimental group)", "No intervention (control group)", "Means scores of expectations and childbirth self-efficacy", "significantly increased", "mean scores of childbirth in intervention group was reduced and expectation and childbirth self-efficacy had a significant increase after interv... | science.evidence_inference.53 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.discomat_te | | Barium glasses | T p 1 | T p 1 | T p 1 | T p 2 | T p 2 | T p 2 | T p 3 | T p 3 | T p 3 |
| S value | 0.00 | 0.50 | 1.00 | 0.00 | 0.50 | 1.00 | 0.00 | 0.50 | 1.00 |
| E a Marotta (kJ/mol) | 307 | 221 | 266 | 156 | 245 | 306 | None | None | 209 |
| Linear fit (R 2... | {"value": "0.00", "type": "Other"}
{"value": "0.50", "type": "Other"}
{"value": "1.00", "type": "Other"}
{"value": "0.00", "type": "Other"}
{"value": "0.50", "type": "Other"}
{"value": "1.00", "type": "Other"}
{"value": "0.00", "type": "Other"}
{"value": "0.50", "type": "Other"}
{"value": "1.00", "type": "Other"}
{"val... | science.discomat_te.14 | [
{
"content": "| Barium glasses | T p 1 | T p 1 | T p 1 | T p 2 | T p 2 | T p 2 | T p 3 | T p 3 | T p 3 |\n| S value | 0.00 | 0.50 | 1.00 | 0.00 | 0.50 | 1.00 | 0.00 | 0.50 | 1.00 |\n| E a Marotta (kJ/mol) | 307 | 221 | 266 | 156 | 245 | 306 | None | None | 2... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Stochastic bandits with groups of similar arms.
Main Content:
1 Introduction . The finite stochastic multi-armed bandit problem is a popular framework for studying... | This paper considers a new variant of the classic stochastic bandit problem, analysing the complexity of the problem and proposing an effective algorithm. The new problem matches the classic problem definition of the K-armed bandit, except all arms are grouped into classes with identical distributions. Each class conta... | science.mup_single_document_summarization.11698 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nStochastic bandits with groups of similar arms.\n\nMain Content:\n1 Introduction . The finite stochastic multi-armed bandit problem is a po... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Educational program and ED protocol for syncope evaluation", "No standardized guidelines or educational programs", "Admission rate", "significantly decreased", "The admission rate decreased by 8.3% in the intervention group (adjusted odds ratio 0.31, 95% confidence interval 0.13-0.70, p=0.005)."]] | science.evidence_inference.21 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees
Main Content:
1 INTRODUCTION . Deep Reinforcement Learning ( DRL ) has achiev... | The paper proposes an extension to the Viper[1] method for interpreting and verifying deep RL policies by learning a mixture of decision trees to mimic the originally learned policy. The proposed approach can imitate the deep policy better compared with Viper while preserving verifiability. Empirically the proposed met... | science.mup_single_document_summarization.18796 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nMoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees\n\nMain Content:\n1 INTRODUCTION . Deep Reinforcement... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["10 mg rosuvastatin over 4 months with zinc (30 mg/d) and selenium (150 I\u03021\u20444g/d) supplementation.", "10 mg rosuvastatin over 4 months", "glutathione peroxidase (GPx) and superoxide dismutase (SOD) levels", "no significant difference", "Similarly, the activities of the antioxidant enzymes GPx and SOD were u... | science.evidence_inference.32 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["astigmatism of 1.25 to 4.0 D", "baseline", "The mean astigmatic refractive error", "significantly decreased", "A total of 19 subjects (31 eyes) completed the trial after five subjects (eight eyes) dropped out. In the patients who completed the study by wearing lenses for 4 weeks, the myopic refractive error decrease... | science.evidence_inference.39 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Insulin + Pramlintide (6 mcg/U)", "Insulin + Pramlintide (12 mcg/U)", "Elevation of glucose and glucagon after 1 hour", "no significant difference", "All ratios reduced 0\u20133\u2010h glucose and glucagon increments by \u003e50%."], ["Insulin + Pramlintide (all doses)", "Insulin alone", "Hypoglycemia after 24 hours... | science.evidence_inference.72 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["3 breakfasts (B1: milk and cereals; B2: milk, apple, and chocolate cream-filled sponge cake; B3: milk, apple, bread, and hazelnut chocolate cream)", "50?g OGTT (A)", "glucose incremental peaks", "significantly decreased", "the repeated measures ANOVA with Greenhouse-Geisser correction resulted significant (p \u003c ... | science.evidence_inference.15 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.biored_ner | Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: ["CellLine", "Variant", "Species", "Disease", "Chemical", "Gene"].
Ensure the output is strictly the JSON object.
Source Text:
Two distinct mutations at a single BamHI site in phenylketonuria. Classical phenyl... | {"CellLine": [], "Chemical": [], "Disease": ["phenylketonuria", "deficiency of hepatic phenylalanine hydroxylase", "PKU", "PAH deficiencies", "autosomal recessive disease", "Classical phenylketonuria"], "Gene": ["PAH"], "Species": [], "Variant": ["273ser----phe", "272gly----stop"]} | science.biored_ner.4 | [
{
"content": "Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: [\"CellLine\", \"Variant\", \"Species\", \"Disease\", \"Chemical\", \"Gene\"].\n\nEnsure the output is strictly the JSON object.\n\nSource Text:\n\nTwo distinct mutations at a single BamHI s... |
science.biored_ner | Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: ["CellLine", "Variant", "Species", "Disease", "Chemical", "Gene"].
Ensure the output is strictly the JSON object.
Source Text:
Identification of three F5 gene mutations associated with inherited coagulation fa... | {"CellLine": [], "Chemical": [], "Disease": ["inherited coagulation FV deficiency", "inherited factor V (FV) deficiency", "inherited coagulation factor V deficiency", "congenital FV deficiency"], "Gene": ["F5", "FV"], "Species": [], "Variant": ["G6410 by T", "Gly2079Val", "IVS8 -2A\u003eG", "insertion introduced eight ... | science.biored_ner.59 | [
{
"content": "Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: [\"CellLine\", \"Variant\", \"Species\", \"Disease\", \"Chemical\", \"Gene\"].\n\nEnsure the output is strictly the JSON object.\n\nSource Text:\n\nIdentification of three F5 gene mutations ... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Background"] | science.multicite_intent_classification.1294 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.bioasq_list_qa | Examine the following excerpts from biomedical literature. Your objective is to extract relevant information to answer the posed question. Format your answer as a JSON array.
Context: The prevention of paediatric bacterial meningitis and septicaemia has recently entered a new era with the availability of two vaccines ... | ["meningitis", "septicemia"] | science.bioasq_list_qa.707 | [
{
"content": "Examine the following excerpts from biomedical literature. Your objective is to extract relevant information to answer the posed question. Format your answer as a JSON array.\n\nContext: The prevention of paediatric bacterial meningitis and septicaemia has recently entered a new era with the avail... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Background"] | science.multicite_intent_classification.526 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Uses"] | science.multicite_intent_classification.1687 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["pH 3.8 saliva ", "pH 6.8 saliva", "Shear bond strength", "significantly decreased", "The mean SBS value in group one (pH 3.8) was significantly lower than that in other groups (P\u003c0.05). The differences between other groups were not significant (P\u003e0.05)."], ["pH 6.8 saliva", "pH 5.8 saliva", "Shear bond str... | science.evidence_inference.117 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Training + coaching ", "Control", "Suicidal ideas", "significantly decreased", "teacher training plus coaching was associated with the best outcomes: a significant increase in student-reported pro-social behavior from pre-test to post-test 1 (maintained at post-test 2) and significantly lower incidence rates from su... | science.evidence_inference.97 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.discomat_te | | Host materials | FOM for gain (t x s em) (10-20 mscm2) | FOM for bandwidth (Dl x s em) (10-20 nmcm2) | Reference |
| GC containing BaF2 | 5.7 | 16.7 | Present work |
| GC containing CaF2 | 4.4 | 40.6 ... | {"value": "5.7", "type": "Other"}
{"value": "16.7", "type": "Other"}
{"value": "4.4", "type": "Other"}
{"value": "40.6", "type": "Other"}
{"value": "2.1", "type": "Other"}
{"value": "32.3", "type": "Other"}
{"value": "5.7", "type": "Other"}
{"value": "13.4", "type": "Other"} | science.discomat_te.355 | [
{
"content": "| Host materials | FOM for gain (t x s em) (10-20 mscm2) | FOM for bandwidth (Dl x s em) (10-20 nmcm2) | Reference |\n| GC containing BaF2 | 5.7 | 16.7 | Present work |\n| GC containing CaF2 | 4.4 ... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Tranexamic acid", "Placebo", "Deep vein thrombosis", "no significant difference", "None of the patients in any of the groups developed deep vein thrombosis."], ["Tranexamic acid", "Placebo", "Units of PRBC needed", "significantly decreased", "Control group patients received 26 units of PRBC as compared to 4 units in... | science.evidence_inference.126 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["olanzapine", "placebo", "sleep efficiency ", "significantly increased", "A significant improvement in olanzapine-treated participants over placebo-treated participants was observed in secondary outcome measures, including sleep efficiency, total sleep time, and sleep latency."], ["olanzapine", "placebo", "Spatial Wo... | science.evidence_inference.6 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Differences"] | science.multicite_intent_classification.633 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.discomat_te | | Powder | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | CaO/SiO2 | NBO/T |
| Powder | CaO | SiO2 | Na2O | Al2O3 | CaF2 | MnO | MgO | B2O3 | Li2O | CaO/SiO2 | NBO/T |
| CAS-1 | 32.6 | 23.4 | 10.0 | 10.0 | 16.4 | 1.0 | 3.0 | 2.0 | 1.6 | 1.4 | 3.1 |
| CAS-2 | 29.... | {"value": "32.6", "type": "Glass_Compound_Amount", "constituent": "CaO", "unit": "wt", "material": "CAS-1"}
{"value": "23.4", "type": "Glass_Compound_Amount", "constituent": "SiO2", "unit": "wt", "material": "CAS-1"}
{"value": "10.0", "type": "Glass_Compound_Amount", "constituent": "Na2O", "unit": "wt", "material": "CA... | science.discomat_te.431 | [
{
"content": "| Powder | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | Mass% | CaO/SiO2 | NBO/T |\n| Powder | CaO | SiO2 | Na2O | Al2O3 | CaF2 | MnO | MgO | B2O3 | Li2O | CaO/SiO2 | NBO/T |\n| CAS-1 | 32.6 | 23.4 | 10.0 | 10.0 | 16.4 | 1.0 | 3.0 | 2.0 | 1.6 | 1.4 ... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Canagliflozin", "Placebo", "Glycosuria", "significantly increased", "Canagliflozin increased urinary glucose excretion in a dose-dependent manner and produced statistically significant reductions in body weight compared with placebo (least squares mean percent changes from baseline of \u22122.2%, \u22122.9%, \u22122... | science.evidence_inference.47 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.discomat_te | | | Ge [1,22] | Se [1,22] | Sb [1] | Ag [15,22,25] |
| Density (g/cm3) | 5.32 | 4.80 | 6.68 | 10.50 |
| Coordination number | 4 | 2 | 3 | 2 |
| Hs (kcal/mol) | 90.0 | 49.4 | 62.0 | 68.0 |
| Bond energy (k... | {"value": "5.32", "type": "Other"}
{"value": "4.80", "type": "Other"}
{"value": "6.68", "type": "Other"}
{"value": "10.50", "type": "Other"}
{"value": "4", "type": "Other"}
{"value": "2", "type": "Other"}
{"value": "3", "type": "Other"}
{"value": "2", "type": "Other"}
{"value": "90.0", "type": "Other"}
{"value": "49.4"... | science.discomat_te.180 | [
{
"content": "| | Ge [1,22] | Se [1,22] | Sb [1] | Ag [15,22,25] |\n| Density (g/cm3) | 5.32 | 4.80 | 6.68 | 10.50 |\n| Coordination number | 4 | 2 | 3 | 2 |\n| Hs (kcal/mol) | 90.0 | 49.4 | 62.0 | 68.0 ... |
science.bioasq_list_qa | Examine the following excerpts from biomedical literature. Your objective is to extract relevant information to answer the posed question. Format your answer as a JSON array.
Context: The combination of neurological symptoms, thrombocytopenia, fever, renal failure and hemolytic anemia in a patient taking ticlopidine p... | ["thrombocytopenia", "haemolysis", "fever", "coma", "renal failure"] | science.bioasq_list_qa.470 | [
{
"content": "Examine the following excerpts from biomedical literature. Your objective is to extract relevant information to answer the posed question. Format your answer as a JSON array.\n\nContext: The combination of neurological symptoms, thrombocytopenia, fever, renal failure and hemolytic anemia in a pati... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["group 1, treated with an injection of hyaluronic acid alone (66 mg) into each knee; group 2, treated with an injection of hyaluronic acid (49.5 mg) plus diclofenac sodium (5 mg) into each knee;", "group 3, treated with an injection of hyaluronic acid (49.5 mg) plus sodium clodronate (5 mg) into each knee", "erythroc... | science.evidence_inference.179 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["LPS exposure", "Saline axposure", "macrophage activation", "significantly increased", "We observed a significant two-fold increase in plasma sCD163 levels following LPS exposure (P \u003c 0.001), and sCD163 concentrations correlated positively with the plasma concentration of free fatty acids, Rapalmitate, lipid oxi... | science.evidence_inference.127 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Similarities"] | science.multicite_intent_classification.1929 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Periodic Email Prompt", "Control", "Revisiting the program", "significantly increased", "Finally, using a proactive strategy influenced sustained use, with people from the prompting condition being more likely to revisit the program (odds ratio 28.92, 95% confidence interval 10.65\u201378.52; P \u003c .001)."]] | science.evidence_inference.172 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Exercise program", "No exercise", "Gait speed", "significantly increased", "When compared to the control group, the exercise group experienced significant improvements in gait speed (F(4.078) = 8.265, p = 0.007), sit to stand performance (F(3.24) = 11.033, p = 0.002) and handgrip strength (F(3.697) = 26.359, p \u003... | science.evidence_inference.19 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.qasper_abstractive_qa | Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.
Document Content:
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring
Data for human-human spoken dialogues for research and development are c... | {"answer": "A sample from nurse-initiated telephone conversations for congestive heart failure patients undergoing telepmonitoring, post-discharge from the Health Management Unit at Changi General Hospital", "evidence": ["We used recordings of nurse-initiated telephone conversations for congestive heart failure patient... | science.qasper_abstractive_qa.150.0 | [
{
"content": "Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.\n\nDocument Content:\n\nFast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring\n\nData for human-human spoken dialogues for re... |
science.biored_ner | Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: ["CellLine", "Variant", "Species", "Disease", "Chemical", "Gene"].
Ensure the output is strictly the JSON object.
Source Text:
TNFR-associated factor 2 deficiency in B lymphocytes predisposes to chronic lympho... | {"CellLine": ["Traf2DN-tg", "Traf2DN-tg B"], "Chemical": [], "Disease": ["small lymphocytic lymphoma", "chronic lymphocytic leukemia"], "Gene": ["X-linked inhibitor of apoptosis", "p38", "TRAF3", "TNFR-associated factor 2", "cellular inhibitors of apoptosis 1 and 2", "CD40", "TRAF2", "proteasome", "Bcl-X(L)", "p38 MAPK... | science.biored_ner.10 | [
{
"content": "Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: [\"CellLine\", \"Variant\", \"Species\", \"Disease\", \"Chemical\", \"Gene\"].\n\nEnsure the output is strictly the JSON object.\n\nSource Text:\n\nTNFR-associated factor 2 deficiency in B l... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Lax-Asab powder", "placebo", "efficacy of treating patients with chronic functional constipation", "significantly increased", "This study confirms the efficacy and tolerability of an Iranian herbal preparation, Lax-Asab, in treating patients with chronic functional constipation."], ["Lax-Asab powder", "placebo", "me... | science.evidence_inference.88 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Simvastatine", "Placebo", "Overall survival", "no significant difference", "No significant difference was observed between the two groups with respect to OS (median, 15.9 months (simvastatin) vs 19.9 months (placebo), P=0.826)."], ["Simvastatine", "Placebo", "Toxicity ", "no significant difference", "The addition of... | science.evidence_inference.83 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.discomat_te | | Sample | O 2 | O 4 | O 6 | Rms (%) | O 4/O 6 |
| Glass | 4.88 | 0.95 | 0.37 | 1.6% | 2.57 |
| Glass ceramic | 3.81 | 0.57 | 0.18 | 2.9% | 3.17 |
Caption: Judd-Ofelt parameters, O t (in unit of 10-20 cm2), of Er3+ in the precursor glass and glass ceramic (rms: the root-mean-square errors... | {"value": "4.88", "type": "Other"}
{"value": "0.95", "type": "Other"}
{"value": "0.37", "type": "Other"}
{"value": "2.57", "type": "Other"}
{"value": "3.81", "type": "Other"}
{"value": "0.57", "type": "Other"}
{"value": "0.18", "type": "Other"}
{"value": "3.17", "type": "Other"} | science.discomat_te.352 | [
{
"content": "| Sample | O 2 | O 4 | O 6 | Rms (%) | O 4/O 6 |\n| Glass | 4.88 | 0.95 | 0.37 | 1.6% | 2.57 |\n| Glass ceramic | 3.81 | 0.57 | 0.18 | 2.9% | 3.17 |\n\nCaption: Judd-Ofelt parameters, O t (in unit of 10-20 cm2), of Er3+ in the precursor glass and glass ceramic (rms: t... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
RAR: Region-Aware Point Cloud Registration
Main Content:
Point set registration is a challenging but meaningful task , which has wide application in many fields Ba... | This paper aims to solve the rigid registration of 3D point clouds using a deep neural network. The key difference from previous methods is that this paper proposes a region-conditioned transformation. Specifically, this method first estimates k transformation matrices and then adopts a region segmentation module to di... | science.mup_single_document_summarization.6739 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nRAR: Region-Aware Point Cloud Registration\n\nMain Content:\nPoint set registration is a challenging but meaningful task , which has wide a... |
science.discomat_te | | Li/V | 0 | 0.5 | 1 | 1.5 | 2 |
| E a (eV) | 0.44 | 0.57 | 0.95 | 0.84 | 0.77 |
| %V4+ (+-0.01) | 9.20 | 5.92 | 3.75 | 2.78 | 3.11 |
Caption: Determined activation energy and V4+ amount of Li2CO3 based glasses
Examine the table provided from a materials science study. Your task is to convert... | {"value": "0", "type": "Other"}
{"value": "0.5", "type": "Other"}
{"value": "1", "type": "Other"}
{"value": "1.5", "type": "Other"}
{"value": "2", "type": "Other"}
{"value": "0.44", "type": "Other"}
{"value": "0.57", "type": "Other"}
{"value": "0.95", "type": "Other"}
{"value": "0.84", "type": "Other"}
{"value": "0.77"... | science.discomat_te.395 | [
{
"content": "| Li/V | 0 | 0.5 | 1 | 1.5 | 2 |\n| E a (eV) | 0.44 | 0.57 | 0.95 | 0.84 | 0.77 |\n| %V4+ (+-0.01) | 9.20 | 5.92 | 3.75 | 2.78 | 3.11 |\n\nCaption: Determined activation energy and V4+ amount of Li2CO3 based glasses\n\nExamine the table provided from a materials science st... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Imitation with Neural Density Models
Main Content:
1 Introduction . Imitation Learning ( IL ) algorithms aim to learn optimal behavior by mimicking expert demonstr... | This paper presents an imitation learning approach based on density estimation of the state-action pairs. The underlying idea is to take expert demonstrations and find a distribution over the inherent state occupancy and then follow-up with a reinforcement learning step. As a result, the learner visits the high density... | science.mup_single_document_summarization.14758 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nImitation with Neural Density Models\n\nMain Content:\n1 Introduction . Imitation Learning ( IL ) algorithms aim to learn optimal behavior ... |
science.discomat_te | | SUMo2-12c | SUMo2-12c |
| SiO2 | 35.99 |
| Na2O | 8.79 |
| B2O3 | 12.96 |
| Al2O3 | 6.18 |
| P2O5 | 3.69 |
| MoO3 | 12.00 |
| ZnO | 5.62 |
| ZrO2 | 7.14 |
| CaO | 5.67 |
| Others | 1.96 |
Caption: Glass composition (wt%)
... | {"value": "35.99", "type": "Glass_Compound_Amount", "constituent": "SiO2", "unit": "wt", "material": "SUMo2-12c"}
{"value": "8.79", "type": "Glass_Compound_Amount", "constituent": "Na2O", "unit": "wt", "material": "SUMo2-12c"}
{"value": "12.96", "type": "Glass_Compound_Amount", "constituent": "B2O3", "unit": "wt", "mat... | science.discomat_te.149 | [
{
"content": "| SUMo2-12c | SUMo2-12c |\n| SiO2 | 35.99 |\n| Na2O | 8.79 |\n| B2O3 | 12.96 |\n| Al2O3 | 6.18 |\n| P2O5 | 3.69 |\n| MoO3 | 12.00 |\n| ZnO | 5.62 |\n| ZrO2 | 7.14 |\n| CaO | 5.67 |\n| Others | 1.96 |\n\... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Contrastive Learning for Neural Topic Model
Main Content:
1 Introduction . Topic models have been successfully applied in Natural Language Processing with various ... | This paper proposed a Neural Topic Model based on contrastive learning, which considers both effects of positive and negative pairs. They proposed a sampling strategy that takes inspiration from human behavior in differentiating documents. Experimental results show that it outperforms other state-of-the-art neural topi... | science.mup_single_document_summarization.12847 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nContrastive Learning for Neural Topic Model\n\nMain Content:\n1 Introduction . Topic models have been successfully applied in Natural Langu... |
science.discomat_te | | | T m [K] | T d [K] | e(T d ) | T g [K] | e(T g ) | log e T g e T d |
| PS [11] | 1037 | 775 | 2.97106 | 683 | 2.71011 | 4.959 |
| L2B [22] | 1190 | 795 | 2.20108 | 768 | 2.091011 | 2.979 |... | {"value": "1037", "type": "Other"}
{"value": "775", "type": "Other"}
{"value": "2.97106", "type": "Other"}
{"value": "683", "type": "Other"}
{"value": "2.71011", "type": "Other"}
{"value": "4.959", "type": "Other"}
{"value": "1190", "type": "Other"}
{"value": "795", "type": "Other"}
{"value": "2.20108", "type": "Other"... | science.discomat_te.456 | [
{
"content": "| | T m [K] | T d [K] | e(T d ) | T g [K] | e(T g ) | log e T g e T d |\n| PS [11] | 1037 | 775 | 2.97106 | 683 | 2.71011 | 4.959 |\n| L2B [22] | 1190 | 795 | 2.20108 | 768 | 2.091011 | 2.97... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Alcohol consumption ", "Control", "TNF-\u03b1 ", "no significant difference", "the serum TNF-\u03b1 levels did not differ among groups (all P\u003e0.05)."], ["Alcohol consumption + H. pylori ", "Alcohol consumption", "E-selectin", "significantly decreased", "The serum IL-10 and E-selectin levels in group A were sign... | science.evidence_inference.143 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.discomat_te | | Glass | SiO2 | CaO | Na2O |
| G1 | 51.50 | 13.50 | 35.00 |
| G2 | 55.00 | 13.50 | 31.50 |
| G3 | 55.00 | 35.00 | 10.00 |
| G4 | 42.00 | 23.00 | 35.00 |
| G5 | 42.00 | 48.00 | 10.00 |
| G6 | 42.00 | 35.50 | 22.50 |
| G7 | 55.00 | 24.25 | 20.75 |
| G8 | 53.25 | 13.50 | 33.25 |
| G9 | 48.5... | {"value": "51.50", "type": "Glass_Compound_Amount", "constituent": "SiO2", "unit": "mol", "material": "G1"}
{"value": "13.50", "type": "Glass_Compound_Amount", "constituent": "CaO", "unit": "mol", "material": "G1"}
{"value": "35.00", "type": "Glass_Compound_Amount", "constituent": "Na2O", "unit": "mol", "material": "G1... | science.discomat_te.448 | [
{
"content": "| Glass | SiO2 | CaO | Na2O |\n| G1 | 51.50 | 13.50 | 35.00 |\n| G2 | 55.00 | 13.50 | 31.50 |\n| G3 | 55.00 | 35.00 | 10.00 |\n| G4 | 42.00 | 23.00 | 35.00 |\n| G5 | 42.00 | 48.00 | 10.00 |\n| G6 | 42.00 | 35.50 | 22.50 |\n| G7 | 55.00 | 24.25 | 20.75 |\n| G8 | 53.25 | ... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
Eliminating the last sporadic cases of malaria requires considerable funding.
Research Abstract:
The marginal costs and benefits of converting malaria programmes from a control to an elimination goal are central to strategic decis... | {"verdict": "NEI", "evidence": []} | science.scifact_entailment.247 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nEliminating the last sporadic cases of malaria requires considerable funding.\n\nResearch Abstract:\nThe marginal costs and benefits of converting malaria programmes from a control to an elimination goal are ... |
science.qasper_abstractive_qa | Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.
Document Content:
Distant supervision for emotion detection using Facebook reactions
We exploit the Facebook reaction feature in a distant supervised fashion to train a support vector machine c... | {"answer": "Answer with content missing: (Table 3) Best author\u0027s model B-M average micro f-score is 0.409, 0.459, 0.411 on Affective, Fairy Tales and ISEAR datasets respectively. ", "evidence": ["In Table TABREF26 we report the results of our model on the three datasets standardly used for the evaluation of emotio... | science.qasper_abstractive_qa.203.0 | [
{
"content": "Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.\n\nDocument Content:\n\nDistant supervision for emotion detection using Facebook reactions\n\nWe exploit the Facebook reaction feature in a distant supervised fashion to trai... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Main Content:
1 Introduction . We consider an imitation learning setting that learn... | The paper proposes Confidence-Aware Imitation Learning (CAIL) that learns from sub-optimal demonstrations collected by different policies. The main idea is to train an imitating policy from demonstrations weighted by an estimated confidence scores, while the confidence scores are simultaneously estimated by using the i... | science.mup_single_document_summarization.14653 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nConfidence-Aware Imitation Learning from Demonstrations with Varying Optimality\n\nMain Content:\n1 Introduction . We consider an imitation... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Differences"] | science.multicite_intent_classification.2429 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Learning with Feature-Dependent Label Noise: A Progressive Approach
Main Content:
1 INTRODUCTION . Addressing noise in training set labels is an important problem ... | Label noise is very frequently in many real world applications. However, the noise can be with different distributions. If we build the learning model under a certain distribution, it is difficult to capture the discriminative information. In this paper, without assuming that the noise is a certain distribution, the pr... | science.mup_single_document_summarization.1730 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nLearning with Feature-Dependent Label Noise: A Progressive Approach\n\nMain Content:\n1 INTRODUCTION . Addressing noise in training set lab... |
science.scierc_ner | Analyze the given abstract from a computer science paper. Identify and list entities in a structured JSON format. Focus on capturing distinct elements relevant to the research context.
Input Abstract:
This paper introduces a system for categorizing unknown words. The system is based on a multi-component architecture ... | Output Entities:
{"Generic": ["system", "components"], "Material": ["live closed captions"], "Method": ["multi-component architecture", "decision tree architecture"], "Metric": [], "OtherScientificTerm": ["unknown words", "names", "unknown word", "spelling errors"], "Task": ["categorizing unknown words"]} | science.scierc_ner.19 | [
{
"content": "Analyze the given abstract from a computer science paper. Identify and list entities in a structured JSON format. Focus on capturing distinct elements relevant to the research context.\n\nInput Abstract:\n\nThis paper introduces a system for categorizing unknown words. The system is based on a mul... |
science.qasper_abstractive_qa | Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.
Document Content:
Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets
We report results of a comparison of the accuracy of... | {"answer": "neutral sentiment", "evidence": ["Crowdworkers correctly identified 62% of the neutral, 85% of the positive, and 92% of the negative sentiments. Google Cloud correctly identified 88% of the neutral sentiments, but only 3% of the positive, and 19% of the negative sentiments. TensiStrength correctly identifie... | science.qasper_abstractive_qa.274.1 | [
{
"content": "Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.\n\nDocument Content:\n\nPerformance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets\n\nWe report results of a c... |
science.scifact_entailment | Determine the relationship between them and generate a JSON response. Scientific Claim:
A deficiency of folate increases blood levels of homocysteine.
Research Abstract:
BACKGROUND Lowering serum homocysteine levels with folic acid is expected to reduce mortality from ischemic heart disease.
Homocysteine reduction is... | {"verdict": "SUPPORT", "evidence": ["RESULTS Median serum homocysteine level decreased with increasing folic acid dosage, to a maximum at 0.8 mg of folic acid per day, when the homocysteine reduction (placebo adjusted) was 2.7 micromol/L (23%), similar to the known effect of folic acid dosages of 1 mg/d and above."]} | science.scifact_entailment.23 | [
{
"content": "Determine the relationship between them and generate a JSON response. Scientific Claim: \nA deficiency of folate increases blood levels of homocysteine.\n\nResearch Abstract:\nBACKGROUND Lowering serum homocysteine levels with folic acid is expected to reduce mortality from ischemic heart disease.... |
science.discomat_te | | Glass ID | f O | N | E c (kJmol -1) | E b (kJmol -1) | m (GPa) | r d (A) | E s (kJmol -1) | Ex (kJmol -1) | r x , calc (molm -2 s -1) |
| NaSiO-0Al | 1.00 | 5.1 | 0 | 25.8 | 25.7 | 0.976 | 7.87 | 33.6 | 6.7x10-6 |
| NaSiO-5Al | 0.89 | 4.... | {"value": "1.00", "type": "Other"}
{"value": "5.1", "type": "Other"}
{"value": "0", "type": "Other"}
{"value": "25.8", "type": "Other"}
{"value": "25.7", "type": "Other"}
{"value": "0.976", "type": "Other"}
{"value": "7.87", "type": "Other"}
{"value": "33.6", "type": "Other"}
{"value": "0.89", "type": "Other"}
{"value"... | science.discomat_te.200 | [
{
"content": "| Glass ID | f O | N | E c (kJmol -1) | E b (kJmol -1) | m (GPa) | r d (A) | E s (kJmol -1) | Ex (kJmol -1) | r x , calc (molm -2 s -1) |\n| NaSiO-0Al | 1.00 | 5.1 | 0 | 25.8 | 25.7 | 0.976 | 7.87 | 33.6 | 6.7x10-6 |\n... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Informed Temporal Modeling via Logical Specification of Factorial LSTMs
Main Content:
Consider a world in which events occur that involve various entities . Learni... | This paper builds an interesting connection between Datalog rules and temporal point processes. The novelty of the approach is to factorize the latent state of LSTM into different blocks that represent three major interactions between temporal events, including: dependency, affects, and updates. The design of the node ... | science.mup_single_document_summarization.17431 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nInformed Temporal Modeling via Logical Specification of Factorial LSTMs\n\nMain Content:\nConsider a world in which events occur that invol... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["a water-intake group", "a prolonged fasting group", "The proportion of successful preparations at follow-up endoscopy", "significantly increased", "The proportion of successful preparations at follow-up endoscopy was higher for the water-intake group (70%) than for the prolonged fasting group (40%, p=0.025)."]] | science.evidence_inference.222 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["a group for training of methamphetamine users who were in recovery phase (intervention group 1) and control", "baseline", "mean post-test scores of health-promoting lifestyle scale, health-related QoL scale, and all constructs of Pender\u0027s health promotion model (self-efficacy, perceived affect, perceived social... | science.evidence_inference.66 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
science.scierc_ner | Analyze the given abstract from a computer science paper. Identify and list entities in a structured JSON format. Focus on capturing distinct elements relevant to the research context.
Input Abstract:
A new approach for Interactive Machine Translation where the author interacts during the creation or the modification... | Output Entities:
{"Generic": ["approach"], "Material": [], "Method": ["translation process", "paraphrasing", "linguistic theory"], "Metric": [], "OtherScientificTerm": [], "Task": ["Interactive Machine Translation"]} | science.scierc_ner.13 | [
{
"content": "Analyze the given abstract from a computer science paper. Identify and list entities in a structured JSON format. Focus on capturing distinct elements relevant to the research context.\n\nInput Abstract:\n\nA new approach for Interactive Machine Translation where the author interacts during the cr... |
science.discomat_te | | Sample no. | DE 1 (eV) | DE 2 (eV) | ln s 1 (Ocm)-1 | ln s 2 (Ocm)-1 | ln s RT (Ocm)-1 |
| Base | 0.72+-0.004 (373-293K) | 0.37+-0.002 (283-213K) | 4.36+-0.02 | -9.49+-0.05 | -24.15+-0.12 |
| Second | 0.79+-0.004 (373-273K) | 0.11+-0.0006 (283-153K) | 6.02+-0.03 | -... | {"value": "0.72", "type": "Other"}
{"value": "0.37", "type": "Other"}
{"value": "4.36", "type": "Other"}
{"value": "0.79", "type": "Other"}
{"value": "0.11", "type": "Other"}
{"value": "6.02", "type": "Other"}
{"value": "0.5", "type": "Other"}
{"value": "0.08", "type": "Other"}
{"value": "0.43", "type": "Other"}
{"valu... | science.discomat_te.48 | [
{
"content": "| Sample no. | DE 1 (eV) | DE 2 (eV) | ln s 1 (Ocm)-1 | ln s 2 (Ocm)-1 | ln s RT (Ocm)-1 |\n| Base | 0.72+-0.004 (373-293K) | 0.37+-0.002 (283-213K) | 4.36+-0.02 | -9.49+-0.05 | -24.15+-0.12 |\n| Second | 0.79+-0.004 (373-273K) | 0.11+-0.0006 (283-15... |
science.qasper_abstractive_qa | Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.
Document Content:
Combating Adversarial Misspellings with Robust Word Recognition
To combat adversarial spelling mistakes, we propose placing a word recognition model in front of the downstream... | {"answer": "Sentiment analysis and paraphrase detection under adversarial attacks", "evidence": ["For sentiment classification, we systematically study the effect of character-level adversarial attacks on two architectures and four different input formats. The first architecture encodes the input sentence into a sequen... | science.qasper_abstractive_qa.169.1 | [
{
"content": "Examine the provided sections from a research document and address the accompanying query. The text is divided by newlines.\n\nDocument Content:\n\nCombating Adversarial Misspellings with Robust Word Recognition\n\nTo combat adversarial spelling mistakes, we propose placing a word recognition mode... |
science.biored_ner | Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: ["CellLine", "Variant", "Species", "Disease", "Chemical", "Gene"].
Ensure the output is strictly the JSON object.
Source Text:
Identification of the BRAF V600E mutation in gastroenteropancreatic neuroendocrine... | {"CellLine": [], "Chemical": ["pazopanib"], "Disease": ["gastroenteropancreatic neuroendocrine tumors", "intestine NETs", "cancer", "intestinal grade (G) 1 NET", "NET", "GEP-NET", "GEP-NETs", "tumor", "NETs"], "Gene": ["APC", "CNBD1", "PTEN", "RB1", "ERBB3", "MGA", "SMARCB1", "BRAF", "SPEN", "KDM6A", "TP53", "EGFR", "K... | science.biored_ner.24 | [
{
"content": "Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: [\"CellLine\", \"Variant\", \"Species\", \"Disease\", \"Chemical\", \"Gene\"].\n\nEnsure the output is strictly the JSON object.\n\nSource Text:\n\nIdentification of the BRAF V600E mutation ... |
science.discomat_te | | Standard | r-factor | r (A) | n (atoms) | s 2 (A2) |
| SrCO 3 | SrCO 3 | SrCO 3 | SrCO 3 | SrCO 3 |
| Sr-O fit | 0.006 | 2.59 (0.01) | 9.3 (0.8) | 0.0121 (0.0013) |
| | 0.031 | 2.59 (0.01) | 7.1 (0.6) | 0.0080 |
| ... | {"value": "0.006", "type": "Other"}
{"value": "2.59", "type": "Other"}
{"value": "9.3", "type": "Other"}
{"value": "0.0121", "type": "Other"}
{"value": "0.031", "type": "Other"}
{"value": "2.59", "type": "Other"}
{"value": "7.1", "type": "Other"}
{"value": "0.0080", "type": "Other"}
{"value": "2.59", "type": "Other"}
{... | science.discomat_te.219 | [
{
"content": "| Standard | r-factor | r (A) | n (atoms) | s 2 (A2) |\n| SrCO 3 | SrCO 3 | SrCO 3 | SrCO 3 | SrCO 3 |\n| Sr-O fit | 0.006 | 2.59 (0.01) | 9.3 (0.8) | 0.0121 (0.0013) |\n| | 0.031 | 2.59 (0.01) | 7.1 (0.6) | 0.008... |
science.biored_ner | Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: ["CellLine", "Variant", "Species", "Disease", "Chemical", "Gene"].
Ensure the output is strictly the JSON object.
Source Text:
Mutational analysis of CYP2C8 in hypertensive patients using denaturing high perfo... | {"CellLine": [], "Chemical": ["Arachidonic acid", "epoxyeicosatrienenoic acids", "hydroxyeicosatetrenoic acids"], "Disease": ["hypertensive", "hypertension"], "Gene": ["cytochrome P450 (CYP) epoxygenase", "CYP2C8"], "Species": ["patients"], "Variant": ["C35322T", "T deletion at 5063", "C to T at 33468", "C35322C"]} | science.biored_ner.9 | [
{
"content": "Analyze the provided biomedical abstract and identify distinct entities. Focus on the specified categories: [\"CellLine\", \"Variant\", \"Species\", \"Disease\", \"Chemical\", \"Gene\"].\n\nEnsure the output is strictly the JSON object.\n\nSource Text:\n\nMutational analysis of CYP2C8 in hypertens... |
science.mup_single_document_summarization | Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.
Title of the Paper:
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Main Content:
1 Introduction . Meaningful exploration remains a challenge for robot... | This paper proposes a novel action space for efficient learning of robotic manipulation tasks. In contrast to typical joint space and task space control, the proposed action space consists of a set of hand-designed agent-centric primitive skills (e.g. lift arm for $d$ cm, close grippers to $d$ cm, and rotate wrist for ... | science.mup_single_document_summarization.12680 | [
{
"content": "Summarize the key points and contributions of the following computer science research paper. Your summary should be clear and concise.\n\nTitle of the Paper:\nAccelerating Robotic Reinforcement Learning via Parameterized Action Primitives\n\nMain Content:\n1 Introduction . Meaningful exploration r... |
science.multicite_intent_classification | Examine the text below, which includes a citation marked by "<cite>" and "</cite>". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.
Provide your analysis as a JSON array. Ensure your response is concise and directly related... | ["Background"] | science.multicite_intent_classification.2110 | [
{
"content": "Examine the text below, which includes a citation marked by \"<cite>\" and \"</cite>\". Your objective is to identify the intent behind this citation. Focus on understanding the role the cited work plays in the context of the text.\n\nProvide your analysis as a JSON array. Ensure your response is ... |
science.evidence_inference | Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:
- Treatment: The specific medical procedure or drug being evaluated.
- Control: The standard or placebo used for comparison. If absent, use `nul... | [["Succinylcholine group", "Cisatracurium group", "sore throat 2 hours post\u2013operation", "significantly increased", "Number of patients who developed sore throat was significantly higher in the Succinylcholine group (75%) compared to Cisatracurium group (27.5%) at the time of entrance to the recovery room (P = 0.00... | science.evidence_inference.52 | [
{
"content": "Analyze the provided abstract from a clinical trial. Extract relevant data points and compile them into a structured JSON format. Focus on identifying key components such as:\n\n- Treatment: The specific medical procedure or drug being evaluated.\n- Control: The standard or placebo used for compar... |
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