cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14598940
title: SPIKE-QA: A 22K size English dataset for SLM

description: SPIKE-QA is a human-indicated QA dataset generated by the GPT4o-small model, the dataset is collected as well as merged by the author with Python script. It contains 22,653 pairs of Q&A samples without time information but just single independent questions and answers.

The topic covers basic science like physics, chemistry, or math to complex generation problems or some daily chat. The dataset is in the form of a bunch of Excel tables, each of which holds two feature meanings as they are named "Question" and "Answer." The file name SPIKE-QA.csv is the complete dataset in the form of CSV. The data collected by giving a prompt to GPT to ensure the generation is in a form in pairs of tuples, like lis=[("Question1", "Answer1"),("Question2", "Answer2"),...], and transform it with python script

The size of the data might not be enough to pre-train an LLM from the start, it only seems to be used for parameter tuning, but paraphrasing the dataset might be one way to change the data into a useful resource. The dataset could also be used for model evaluation due to its diversity and vary length of the samples. The most important thing is accessibility, this dataset is a CSV file, making it easy for beginner to practice.

Copy right reserved by the author(ORCID:0009-0002-1449-2803). An alternative of doi for this dataset is 10.34740/kaggle/dsv/10346351.
DOI: 10.5281/zenodo.14604491
title: SPIKE-QA: A 34K size English dataset for SLM

description: SPIKE-QA is a human-indicated QA dataset generated by the GPT4o-small model, the dataset is collected as well as merged by the author with Python script. It contains 34,110 pairs of Q&A samples without time information but just single independent questions and answers.(Zero-Shot)

The topic covers basic science like physics, chemistry, or math to complex generation problems or some daily chat. The dataset is in the form of a bunch of Excel tables, each of which holds two feature meanings as they are named "Question" and "Answer." The file name SPIKE-QA.csv is the complete dataset in the form of CSV. The data collected by giving a prompt to GPT to ensure the generation is in a form in pairs of tuples, like lis=[("Question1", "Answer1"),("Question2", "Answer2"),...], and transform it with python script

The size of the data might not be enough to pre-train an LLM from the start, it only seems to be used for parameter tuning, but paraphrasing the dataset might be one way to change the data into a useful resource. The dataset could also be used for model evaluation due to its diversity and vary length of the samples. The most important thing is accessibility, this dataset is a CSV file, making it easy for beginner to practice.

Copy right reserved by the author(ORCID:0009-0002-1449-2803). An alternative of doi for this dataset is 10.34740/kaggle/dsv/10346351.
DOI: 10.5281/zenodo.14609843
title: SPIKE-QA: A 42K size English dataset for SLM

description: SPIKE-QA is a human-indicated QA dataset generated by the GPT4o-small model, the dataset is collected as well as merged by the author with Python script. It contains 42,158 pairs of Q&A samples without time information but just single independent questions and answers.(Zero-Shot)

The topic covers basic science like physics, chemistry, or math to complex generation problems or some daily chat. The dataset is in the form of a bunch of Excel tables, each of which holds two feature meanings as they are named "Question" and "Answer." The file name SPIKE-QA.csv is the complete dataset in the form of CSV. The data collected by giving a prompt to GPT to ensure the generation is in a form in pairs of tuples, like lis=[("Question1", "Answer1"),("Question2", "Answer2"),...], and transform it with python script

The size of the data might not be enough to pre-train an LLM from the start, it only seems to be used for parameter tuning, but paraphrasing the dataset might be one way to change the data into a useful resource. The dataset could also be used for model evaluation due to its diversity and vary length of the samples. The most important thing is accessibility, this dataset is a CSV file, making it easy for beginner to practice.

Copy right reserved by the author(ORCID:0009-0002-1449-2803). An alternative of doi for this dataset is 10.34740/kaggle/dsv/10346351.
DOI: 10.5281/zenodo.14619717
title: SPIKE-QA: A 50K size English dataset for SLM

description: SPIKE-QA is a human-indicated QA dataset generated by the GPT4o-small model, the dataset is collected as well as merged by the author with Python script. It contains 50,262 pairs of Q&A samples without time information but just single independent questions and answers.(Zero-Shot)

The topic covers basic science like physics, chemistry, or math to complex generation problems or some daily chat. The dataset is in the form of a bunch of Excel tables, each of which holds two feature meanings as they are named "Question" and "Answer." The file name SPIKE-QA.csv is the complete dataset in the form of CSV. The data collected by giving a prompt to GPT to ensure the generation is in a form in pairs of tuples, like lis=[("Question1", "Answer1"),("Question2", "Answer2"),...], and transform it with python script

The size of the data might not be enough to pre-train an LLM from the start, it only seems to be used for parameter tuning, but paraphrasing the dataset might be one way to change the data into a useful resource. The dataset could also be used for model evaluation due to its diversity and vary length of the samples. The most important thing is accessibility, this dataset is a CSV file, making it easy for beginner to practice.

Copy right reserved by the author(ORCID:0009-0002-1449-2803). An alternative of doi for this dataset is 10.34740/kaggle/dsv/10346351.
DOI: 10.5281/zenodo.14584015
title: SPIKE-QA: A 50K size English dataset for SLM

description: SPIKE-QA is a human-indicated QA dataset generated by the GPT4o-small model, the dataset is collected as well as merged by the author with Python script. It contains 50,236 pairs of Q&A samples without time information but just single independent questions and answers.(Zero-Shot)

The topic covers basic science like physics, chemistry, or math to complex generation problems or some daily chat. The dataset is in the form of a bunch of Excel tables, each of which holds two feature meanings as they are named "Question" and "Answer." The file name SPIKE-QA.csv is the complete dataset in the form of CSV. The data collected by giving a prompt to GPT to ensure the generation is in a form in pairs of tuples, like lis=[("Question1", "Answer1"),("Question2", "Answer2"),...], and transform it with python script.

The size of the data might not be enough to pre-train an LLM from the start, it only seems to be used for parameter tuning, but paraphrasing the dataset might be one way to change the data into a useful resource. The dataset could also be used for model evaluation due to its diversity and vary length of the samples. The most important thing is accessibility, this dataset is a CSV file, making it easy for beginner to practice.

Copy right reserved by the author(ORCID:0009-0002-1449-2803). An alternative of doi for this dataset is 10.34740/kaggle/dsv/10346351.
DOI: 10.5281/zenodo.14619790
title: SPIKE-QA: A 50K size English dataset for SLM

description: SPIKE-QA is a human-indicated QA dataset generated by the GPT4o-small model, the dataset is collected as well as merged by the author with Python script. It contains 50,236 pairs of Q&A samples without time information but just single independent questions and answers.(Zero-Shot)

The topic covers basic science like physics, chemistry, or math to complex generation problems or some daily chat. The dataset is in the form of a bunch of Excel tables, each of which holds two feature meanings as they are named "Question" and "Answer." The file name SPIKE-QA.csv is the complete dataset in the form of CSV. The data collected by giving a prompt to GPT to ensure the generation is in a form in pairs of tuples, like lis=[("Question1", "Answer1"),("Question2", "Answer2"),...], and transform it with python script.

The size of the data might not be enough to pre-train an LLM from the start, it only seems to be used for parameter tuning, but paraphrasing the dataset might be one way to change the data into a useful resource. The dataset could also be used for model evaluation due to its diversity and vary length of the samples. The most important thing is accessibility, this dataset is a CSV file, making it easy for beginner to practice.

Copy right reserved by the author(ORCID:0009-0002-1449-2803). An alternative of doi for this dataset is 10.34740/kaggle/dsv/10346351.
DOI: 10.5281/zenodo.11060369
title: Multimodal Fish Feeding Intensity Assessment in Aquaculture Part 3

description: Multimodal Fish Feeding Intensity Assessment in Aquaculture (The paper you can find on Arxiv: https://arxiv.org/pdf/2309.05058.pdf)
DOI: 10.5281/zenodo.11060370
title: Multimodal Fish Feeding Intensity Assessment in Aquaculture Part 3

description: Multimodal Fish Feeding Intensity Assessment in Aquaculture (The paper you can find on Arxiv: https://arxiv.org/pdf/2309.05058.pdf)
DOI: 10.25345/c5b56dh1s
title: MassIVE MSV000096809 - Data of biological samples analyzed based on column switching 2DLC-HRMS/TQMS method
title: Data of biological samples analyzed based on column switching 2DLC-HRMS/TQMS method
DOI: 10.15468/dl.hnhmxg
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.202 45.218,25.271 45.218,25.271 45.688,24.202 45.688,24.202 45.218))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Emys orbicularis (Linnaeus, 1758), Anguis colchica (Nordmann, 1840), Anguis fragilis Linnaeus, 1758, Natrix tessellata (Laurenti, 1768), Coronella austriaca Laurenti, 1768, Zamenis longissimus (Laurenti, 1768))"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062049-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97dywv
title: Occurrence Download

description: A dataset containing 1235075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fagus sylvatica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1235075 records from 2100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062048-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqeg25
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dahlia imperialis Roezl ex Ortgies"
 ]
}

 The dataset includes 264 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098148-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45dxuq
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphicrossus lewisi Reitter, 1873",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312775-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adxhre
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chalcostephia flavifrons Kirby, 1889"
 ]
}

 The dataset includes 697 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011917-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpar4b
title: Occurrence Download

description: A dataset listing the 231 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is TUR",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset's 231 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098141-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvufbe
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antillotyphlops monastus (Thomas, 1966)"
 ]
}

 The dataset includes 69 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292632-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6hsfh
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea anitae Bogert, 1967"
 ]
}

 The dataset includes 60 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0310780-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fszsfg
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea pumila Griseb. ex Baker"
 ]
}

 The dataset includes 38 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098174-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wxah4
title: Occurrence Download

description: A dataset containing 59754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Althaea L."
 ]
}

 The dataset includes 59754 records from 441 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292668-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcnbnw
title: Occurrence Download

description: A dataset containing 4674470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-166.381 26.152,-53.217 26.152,-53.217 69.367,-166.381 69.367,-166.381 26.152))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Achillea L., Agastache Clayton ex Gronov., Alcea L., Anaphalis DC., Anethum L., Apocynum L., Aquilegia L., Arctostaphylos Adans., Arnica L., Asclepias L., Balsamorhiza Hook., Bistorta (L.) Scop., Buddleja L., Camassia Lindl., Carduus L., Carex L., Caryopteris Bunge, Castilleja L.f., Ceanothus L., Centaurea L., Chamaenerion Seguier, Cichorium L., Cirsium Mill., Cleome L., Cosmos Cav., Delphinium L., Dicentra Bernh., Dipsacus L., Echinacea Moench, Echinops Martin, 1838, Eremogone Fenzl, Ericameria Nutt., Erigeron L., Eriogonum Michx., Eryngium L., Erythranthe Spach, Escallonia Mutis ex L.f., Eschscholzia Cham., Eucephalacris Descamps, 1976, Gentiana Tourn. ex L., Grindelia Willd., Helianthus L., Heracleum L., Hieracium L., Horkelia Cham. & Schltdl., Hydrangea Gronov. ex L., Hypericum L., Hypochaeris L., Iris Tourn. ex L., Lavandula L., Leptosiphon Benth., Leucanthemum Hill, Ligusticum L., Ligustrum L., Linaria Mill., Lotus L., Lupinus L., Lythrum L., Mahonia Nutt., Malus Mill., Melilotus Mill., Mentha L., Mertensia Lesson, 1830, Microseris de Fromentel, 1867, Mimulus L., Monarda L., Nepeta L., Onopordum L., Origanum L., Orthocarpus Nutt., Paeonia L., Pedicularis L., Penstemon Schmidel, Perideridia Rchb., Perovskia Kar., Phacelia Juss., Picea A.Dietr., Plantago L., Polygonum L., Potentilla L., Prunus L., Rhododendron L., Ribes L., Rosa L., Rubus L., Rudbeckia L., Salvia L., Securigera Bolívar, 1909, Sedum L., Senecio L., Sidalcea A.Gray ex Benth., Sium L., Solidago L., Spiraea L., Symphoricarpos Dill. ex Juss., Symphyotrichum Nees, Tanacetum L., Taraxacum Weber, Tilia L., Trifolium Tourn. ex L., Valeriana L., Verbascum L., Veronica L., Vicia L., Viola L., Wyethia Nutt., Zauschneria C.Presl, Zinnia L.)"
 ]
}

 The dataset includes 4674470 records from 435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098120-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qndxy
title: Occurrence Download

description: A dataset containing 8296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leucospermum R.Br."
 ]
}

 The dataset includes 8296 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151807-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbdpd7
title: Occurrence Download

description: A dataset listing the 215 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Heuchera L."
 ]
}

 The dataset's 215 records were derived from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292622-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fha8hy
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea patacoensis Herb."
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098152-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3z7me
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphe hodgsoni (Günther, 1860)"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292654-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fsfcz
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Martes americana (Turton, 1806)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2011",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "Geometry POLYGON ((-100.85621118062 48.98465628484826, -90.14676320528898 38.33277227770486, -66.1868134925584 40.41982687677709, -61.36177461071644 48.68822738359057, -88.47189913158086 53.50566333927917, -100.85621118062 48.98465628484826))",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 134 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205058-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2asau
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea parvifolia Baker"
 ]
}

 The dataset includes 21 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098149-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruxk2r
title: Occurrence Download

description: A dataset containing 13798 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Canada",
 "Country is United States of America"
 ]
 },
 "MediaType is Image",
 "TaxonKey is Fragaria virginiana Duchesne"
 ]
}

 The dataset includes 13798 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0385048-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qze9js
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Profundulus candalarius Hubbs, 1924"
 ]
}

 The dataset includes 201 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098147-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvr4c9
title: Occurrence Download

description: A dataset containing 41376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "DatasetKey is Museum of Comparative Zoology, Harvard University",
 "Issue is Taxon match none",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119479-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzej2g
title: Occurrence Download

description: A dataset containing 26023956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26023956 records from 3511 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0368319-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfcrav
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassia cochleata Knowles & Westc."
 ]
}

 The dataset includes 63 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149163-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvdrsg
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bacteria from Penguin Guano, Antarctica"
 ]
}

 The dataset includes 70 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044845-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.