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7ed52494ccba7f98e168cb692b06ebf8c335966d | # Dataset Card for "english-arabic-text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | majedk01/english-arabic-text | [
"region:us"
] | 2024-01-30T15:46:59+00:00 | {"dataset_info": {"features": [{"name": "translation", "struct": [{"name": "ar", "dtype": "string"}, {"name": "en", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 4585416789, "num_examples": 11349997}], "download_size": 2149868789, "dataset_size": 4585416789}} | 2024-01-30T16:02:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "english-arabic-text"
More Information needed | [
"# Dataset Card for \"english-arabic-text\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"english-arabic-text\"\n\nMore Information needed"
] |
e7f83a76dc48d92cdcd29e30c07ee08e8830ff65 |
# Dataset Card for Evaluation run of Steelskull/Etheria-55b-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Steelskull/Etheria-55b-v0.1](https://huggingface.co/Steelskull/Etheria-55b-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_Steelskull__Etheria-55b-v0.1 | [
"region:us"
] | 2024-01-30T15:55:05+00:00 | {"pretty_name": "Evaluation run of Steelskull/Etheria-55b-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [Steelskull/Etheria-55b-v0.1](https://huggingface.co/Steelskull/Etheria-55b-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-30T15:55:30+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Steelskull/Etheria-55b-v0.1
Dataset automatically created during the evaluation run of model Steelskull/Etheria-55b-v0.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created f... | [
"# Dataset Card for Evaluation run of Steelskull/Etheria-55b-v0.1\n\n\n\nDataset automatically created during the evaluation run of model Steelskull/Etheria-55b-v0.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has be... | [
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f778f98177de0ba475304e9a0b036d13bdb89308 |
# MAGBIG benchmark
This is the MAGBIG benchmark proposed in https://arxiv.org/abs/2401.16092
This benchmark is intended for multilingual text-to-image models. With MAGBIG, you can generate images for a diverse set of prompts across ten different languages. These images can be evaluated for differences across languag... | felfri/MAGBIG | [
"license:apache-2.0",
"arxiv:2401.16092",
"region:us"
] | 2024-01-30T16:08:50+00:00 | {"license": "apache-2.0"} | 2024-01-30T22:11:36+00:00 | [
"2401.16092"
] | [] | TAGS
#license-apache-2.0 #arxiv-2401.16092 #region-us
|
# MAGBIG benchmark
This is the MAGBIG benchmark proposed in URL
This benchmark is intended for multilingual text-to-image models. With MAGBIG, you can generate images for a diverse set of prompts across ten different languages. These images can be evaluated for differences across languages. MAGBIG is designed to unc... | [
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a2be25730c1285444aa0aeb5cef8b8f43c2ac3af |
# LLE : Leaks, leaks everywhere
This dataset lists the presence or absence of leaks and duplicate data in 596 datasets from the Hugging Face Hub.
For more information, please consult the [following](https://huggingface.co/blog/lbourdois/lle) blog post. | lbourdois/LLE | [
"size_categories:n<1K",
"license:cc-by-4.0",
"region:us"
] | 2024-01-30T16:34:50+00:00 | {"license": "cc-by-4.0", "size_categories": ["n<1K"], "configs": [{"config_name": "lle", "data_files": "train.csv", "sep": ";"}]} | 2024-02-01T10:59:48+00:00 | [] | [] | TAGS
#size_categories-n<1K #license-cc-by-4.0 #region-us
|
# LLE : Leaks, leaks everywhere
This dataset lists the presence or absence of leaks and duplicate data in 596 datasets from the Hugging Face Hub.
For more information, please consult the following blog post. | [
"# LLE : Leaks, leaks everywhere\n\nThis dataset lists the presence or absence of leaks and duplicate data in 596 datasets from the Hugging Face Hub.\n\nFor more information, please consult the following blog post."
] | [
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] |
bf15c3c4528138d292296f67db69dab4f65b4099 | pip install datasets
from datasets import Dataset
# Persiapkan dataset
my_dataset = Dataset.from_pandas(your_pandas_dataframe)
# Simpan dataset ke Hugging Face
my_dataset.save_to_disk('AplikasiDana')
| Ririnhrti/AplikasiDana | [
"region:us"
] | 2024-01-30T16:57:38+00:00 | {} | 2024-01-30T17:01:37+00:00 | [] | [] | TAGS
#region-us
| pip install datasets
from datasets import Dataset
# Persiapkan dataset
my_dataset = Dataset.from_pandas(your_pandas_dataframe)
# Simpan dataset ke Hugging Face
my_dataset.save_to_disk('AplikasiDana')
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] |
6ff75580b7351cce6b5f6c377843c37acf460a27 | # Dataset Card for hh-rlhf-strength-cleaned
**Other Language Versions: [English](README.md), [中文](README_zh.md).**
---
configs:
- config_name: default
data_files:
- split: train
path: "train.json.gz"
- split: valid
path: "valid.json.gz"
---
## Dataset Description
In the paper titled "[Secrets of RLHF in ... | LEE0v0/123 | [
"arxiv:2401.06080",
"region:us"
] | 2024-01-30T17:02:43+00:00 | {} | 2024-01-31T13:36:33+00:00 | [
"2401.06080"
] | [] | TAGS
#arxiv-2401.06080 #region-us
| Dataset Card for hh-rlhf-strength-cleaned
=========================================
Other Language Versions: English, 中文.
-------------------------------------
configs:
* config\_name: default
data\_files:
+ split: train
path: "URL"
+ split: valid
path: "URL"
---
Dataset Description
-------------------
... | [] | [
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9c29b02d22623cff08247eb83f8978d2aa427c11 |
This dataset was made from a subset of [mychen76/ds_receipts_v2_test](https://huggingface.co/datasets/mychen76/ds_receipts_v2_test) and [mychen76/ds_receipts_v2_train](https://huggingface.co/datasets/mychen76/ds_receipts_v2_train) datasets and formatted for Donut models. There were numerous errors in the original data... | AdamCodd/donut-receipts | [
"license:apache-2.0",
"region:us"
] | 2024-01-30T17:08:16+00:00 | {"license": "apache-2.0"} | 2024-01-31T18:05:59+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This dataset was made from a subset of mychen76/ds_receipts_v2_test and mychen76/ds_receipts_v2_train datasets and formatted for Donut models. There were numerous errors in the original dataset so it's still a WIP to fix all that. | [] | [
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14
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d0064840a6e8c41cfa12e1de7d08b2d3977d79fd | Vozes do Seu Madruga (Carlos Seidel)
* Extraído por Chaves Estranho (youtube.com/chavesestranho)
* Files: 240 .WAV
* Tempo: Aproximadamente 12 minutos
* Qualidade: Excelente | chavesestranho/madruguinha | [
"language:pt",
"license:openrail",
"region:us"
] | 2024-01-30T17:16:30+00:00 | {"language": ["pt"], "license": "openrail", "pretty_name": "madruguinha"} | 2024-01-30T17:23:29+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #license-openrail #region-us
| Vozes do Seu Madruga (Carlos Seidel)
* Extraído por Chaves Estranho (URL
* Files: 240 .WAV
* Tempo: Aproximadamente 12 minutos
* Qualidade: Excelente | [] | [
"TAGS\n#language-Portuguese #license-openrail #region-us \n"
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18
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"passage: TAGS\n#language-Portuguese #license-openrail #region-us \n"
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dbb8f87d075764820481c5a64b5ffc3c5b518972 | This is a dataset that contains submissions to the r/amitheasshole subreddit from 2019-2022 that obtained a score of at least 50. | MattBoraske/AITA-submissions-2019-to-2022-at-least-50-score | [
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:question-answering",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2024-01-30T17:19:53+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "task_categories": ["conversational", "text-generation", "question-answering"]} | 2024-01-30T17:30:54+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-text-generation #task_categories-question-answering #language-English #license-cc-by-sa-4.0 #region-us
| This is a dataset that contains submissions to the r/amitheasshole subreddit from 2019-2022 that obtained a score of at least 50. | [] | [
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] |
914e56539dd66f20f5da811613a5c74e0e783208 | MoPE contains over 100 examples of copy editing errors from English-language news publications. The examples are mostly from publications owned by The New York Times Company (NYT, Wirecutter and The Athletic), primarily because the Internet has developed somewhat of a sport in playing grammar police for them. But also ... | machinesonpaper/MoPE | [
"license:apache-2.0",
"region:us"
] | 2024-01-30T17:21:50+00:00 | {"license": "apache-2.0"} | 2024-01-30T20:47:36+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| MoPE contains over 100 examples of copy editing errors from English-language news publications. The examples are mostly from publications owned by The New York Times Company (NYT, Wirecutter and The Athletic), primarily because the Internet has developed somewhat of a sport in playing grammar police for them. But also ... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
46a557c83e02a8cb81bc39516741e6a18710b8d0 |
Dataset for a LORA that will help stable diffusion identify different black male hairstyles. | nrhone/male-black-hairstyles | [
"license:mit",
"region:us"
] | 2024-01-30T19:24:56+00:00 | {"license": "mit"} | 2024-02-01T19:24:11+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Dataset for a LORA that will help stable diffusion identify different black male hairstyles. | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
b92f9a30c6fc54e2edce186b796beabba6705d0b |
# Code-290k-ShareGPT-MarkedLanguage
It's [ajibawa-2023/Code-290k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT), but each example is marked with the programming language it uses.
The detection was performed using heuristics, so there could be inaccuracies. Pull requests are welcome! | StarfleetAI/Code-290k-ShareGPT-MarkedLanguage | [
"region:us"
] | 2024-01-30T20:28:55+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "language", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 548206711, "num_examples": 289094}], "download_size": 2689... | 2024-01-30T20:34:01+00:00 | [] | [] | TAGS
#region-us
|
# Code-290k-ShareGPT-MarkedLanguage
It's ajibawa-2023/Code-290k-ShareGPT, but each example is marked with the programming language it uses.
The detection was performed using heuristics, so there could be inaccuracies. Pull requests are welcome! | [
"# Code-290k-ShareGPT-MarkedLanguage\n\nIt's ajibawa-2023/Code-290k-ShareGPT, but each example is marked with the programming language it uses.\n\nThe detection was performed using heuristics, so there could be inaccuracies. Pull requests are welcome!"
] | [
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] |
019561ceca2ba87c417c8b0ff96b28050bf1c5ce | created a total of 3 images
jlbaker361/dcgan-gpu-wikiart25-repeat std: 0.17078356444835663 mean: 4.003821690877278 | jlbaker361/eval-test | [
"region:us"
] | 2024-01-30T20:38:30+00:00 | {} | 2024-01-31T23:48:14+00:00 | [] | [] | TAGS
#region-us
| created a total of 3 images
jlbaker361/dcgan-gpu-wikiart25-repeat std: 0.17078356444835663 mean: 4.003821690877278 | [] | [
"TAGS\n#region-us \n"
] | [
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"passage: TAGS\n#region-us \n"
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e60a5e2a957340dc859eb2374c2001e735ca96bf |
# Dataset Card for Dataset Name
This is dataset is ported to huggingface directly from the [semantic-systems/amharic-qa](https://github.com/semantic-systems/amharic-qa) repo. Please read the paper in the provided link
- **Curated by:** Tilahun Abedissa, Ricardo Usbeck, Yaregal Assabie
- **Shared by:** Dagim Ashenafi... | dagim/amharic-qa | [
"license:mit",
"arxiv:2303.03290",
"region:us"
] | 2024-01-30T20:38:33+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "context", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7153106, "num_examples": 2617}], "download_size": 638060, "dataset_size": 7153106}, "configs": [{"config_nam... | 2024-01-31T09:44:09+00:00 | [
"2303.03290"
] | [] | TAGS
#license-mit #arxiv-2303.03290 #region-us
|
# Dataset Card for Dataset Name
This is dataset is ported to huggingface directly from the semantic-systems/amharic-qa repo. Please read the paper in the provided link
- Curated by: Tilahun Abedissa, Ricardo Usbeck, Yaregal Assabie
- Shared by: Dagim Ashenafi
- Language(s) (NLP): Amharic
- License: MIT
### Dataset ... | [
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7dfaa9379dfa67a3952af2d768251f90693ad737 |
# Dataset Card for "LOGICPOLITICS"
Description
- A contribution to the task of [Logical Fallacy detection](https://arxiv.org/abs/2202.13758)
- Repository: [A benchmark for Malicious Content Detection in Political Settings](https://github.com/ajaykc7/LOGICPOLITICS)
- Point of Contact: [Hieu Nguyen](mailto:hieutn@usc.e... | hieuhocnlp/LOGICPOLITICS | [
"arxiv:2202.13758",
"region:us"
] | 2024-01-30T20:45:53+00:00 | {"dataset_info": {"features": [{"name": "PREMISE", "dtype": "string"}, {"name": "ORIGINAL_LABEL", "dtype": "string"}, {"name": "PREDICTED_E", "dtype": "int64"}, {"name": "PREDICTED_D", "dtype": "int64"}, {"name": "PREDICTED_R", "dtype": "int64"}, {"name": "PREDICTED_I", "dtype": "int64"}], "splits": [{"name": "train", ... | 2024-01-30T21:14:11+00:00 | [
"2202.13758"
] | [] | TAGS
#arxiv-2202.13758 #region-us
|
# Dataset Card for "LOGICPOLITICS"
Description
- A contribution to the task of Logical Fallacy detection
- Repository: A benchmark for Malicious Content Detection in Political Settings
- Point of Contact: Hieu Nguyen, Ajay Kc, Manorama Patil
| [
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] |
176add6b4f3dbcf79d1b42c3e4396a38bbe9586c | # Hellow! | Ouwen/squad_dataset | [
"region:us"
] | 2024-01-30T21:24:59+00:00 | {} | 2024-02-01T22:53:43+00:00 | [] | [] | TAGS
#region-us
| # Hellow! | [
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"passage: TAGS\n#region-us \n# Hellow!"
] |
bc701c658374d7ee3ca6a4b1385be0d6e81b0983 | # Dataset Card for "cowese_abrev_binary_top2vec"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/cowese_abrev_binary_top2vec | [
"region:us"
] | 2024-01-30T21:40:59+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "short_form", "dtype": "string"}, {"name": "long_form", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "topic_vector", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 544915032, "num_examples": 411055}], "... | 2024-01-30T21:41:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cowese_abrev_binary_top2vec"
More Information needed | [
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5cc5f3d9eb99bd0dc17b4225ca4e347618a4bb0c | created a total of 10 images
jlbaker361/elgammal-0-ddpo-3 std: 0.4522821605205536 mean: 3.8035486221313475 | jlbaker361/stability-ddpo-evaluation-test | [
"region:us"
] | 2024-01-30T21:46:15+00:00 | {} | 2024-01-31T03:24:34+00:00 | [] | [] | TAGS
#region-us
| created a total of 10 images
jlbaker361/elgammal-0-ddpo-3 std: 0.4522821605205536 mean: 3.8035486221313475 | [] | [
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5d824856d9c10b26a52865c6fc47a8c725613984 | # Dataset Card
See: https://datadreamer.dev/docs/latest/pages/get_started/quick_tour/dataset_cleaning.html
---
This dataset was produced with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card can be found [here](datadreamer.json). | datadreamer-dev/cnn_dailymail_sports | [
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"source_datasets:cnn_dailymail",
"datadreamer",
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] | 2024-01-30T22:11:42+00:00 | {"size_categories": ["n<1K"], "source_datasets": ["cnn_dailymail"], "dataset_info": {"features": [{"name": "article", "dtype": "string"}, {"name": "highlights", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 163568, "num_examples": 47}], "download_size": 115819, "datas... | 2024-02-01T22:29:39+00:00 | [] | [] | TAGS
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| # Dataset Card
See: URL
---
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07b600816f5fc9dd3415313b794c7ac30be2a5bb | # Dataset Card
See: https://datadreamer.dev/docs/latest/pages/get_started/quick_tour/dataset_augmentation.html
---
This dataset was produced with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card can be found [here](datadreamer.json). | datadreamer-dev/hotpot_qa_augmented | [
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"source_datasets:hotpot_qa",
"datadreamer",
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---
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d0cef4518b1e1cc3eaacaeaffc8d5d01e2571248 | # Dataset Card for "pixel_font"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yiwang454/pixel_font | [
"region:us"
] | 2024-01-30T23:34:47+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "num_patches", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 62177164.0, "num_examples": 6696}], "download_size": 58030443, "dataset_size": 62177164.0}, "configs": [{"config_name": "default", "data_files": [{"split": "tr... | 2024-02-04T01:25:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pixel_font"
More Information needed | [
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cf90f886fa876fc9f7317693514071e9a37deebc | # Dataset Card for "medical_biological_instruction_format"
Best advice:
- drop the instruction column or use your choice of high-functioning llm to generate variant prompts
- for medical and science database expansions, i'm having excellent results using:
- [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPh... | jtatman/medical_biological_instruction_format | [
"region:us"
] | 2024-01-30T23:35:21+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4328618, "num_examples": 3000}], "download_size": 1750950, "dataset_size": 4328618}, "configs": [{"config_name": "default"... | 2024-02-01T07:53:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medical_biological_instruction_format"
Best advice:
- drop the instruction column or use your choice of high-functioning llm to generate variant prompts
- for medical and science database expansions, i'm having excellent results using:
- SciPhi/SciPhi-Mistral-7B-32k
- TheBloke/SciPhi-Mistral-7B... | [
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e50f162a24d2131f7a6ca61fba881bebe77b30fc | # www.awesomepython.org
Hand-picked awesome Python libraries, with an emphasis on data and machine learning 🐍
Dataset used by https://www.awesomepython.org/
---
license: mit
--- | dylanhogg/awesome-python | [
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"language:en",
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Hand-picked awesome Python libraries, with an emphasis on data and machine learning
Dataset used by URL
---
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78cd56ddf2c3974d53ac27ca67b122c624b883a6 | netid: yx264
# Dataset Description
- **Homepage:** https://linc.osbm.nc.gov/pages/home
- **(1) Education data:** https://linc.osbm.nc.gov/explore/dataset/education/information/?disjunctive.area_name&disjunctive.area_type&disjunctive.variable
- **(2) Educational attainment for the black population:** https://linc.osbm.... | YXu120/NC_Education | [
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"region:us"
] | 2024-01-31T00:44:47+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "pretty_name": "STA 663 Project 1 Proposal"} | 2024-02-13T23:35:19+00:00 | [] | [
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| netid: yx264
# Dataset Description
- Homepage: URL
- (1) Education data: URL
- (2) Educational attainment for the black population: URL
### Dataset Summary
The education datasets can be found at North Carolina Office of State Budget and Management (NC OSBM) open data portal.
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c789f6e9c3fe985a87961bcdedc385e89202acb1 | Dataset: Conversational Nexus for Advanced Intelligence (CNAI)
The "Conversational Nexus for Advanced Intelligence" (CNAI), a meticulously crafted dataset designed for the training and development of cutting-edge conversational AI systems. The CNAI dataset stands at the forefront of AI training, combining complex phil... | InnerI/CNAI | [
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| Dataset: Conversational Nexus for Advanced Intelligence (CNAI)
The "Conversational Nexus for Advanced Intelligence" (CNAI), a meticulously crafted dataset designed for the training and development of cutting-edge conversational AI systems. The CNAI dataset stands at the forefront of AI training, combining complex phil... | [] | [
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997e918a721e7f87ec91c5b55c5adf8bd833e32a | created a total of 2 images
jlbaker361/ddpo-stability-CONDITIONAL std: 0.10270190238952637 mean: 3.948599100112915
jlbaker361/elgammal-0-ddpo-3 std: 0.256237268447876 mean: 3.848614454269409 | jlbaker361/stability-ddpo-evaluation-test-2 | [
"region:us"
] | 2024-01-31T02:38:50+00:00 | {} | 2024-02-01T00:25:19+00:00 | [] | [] | TAGS
#region-us
| created a total of 2 images
jlbaker361/ddpo-stability-CONDITIONAL std: 0.10270190238952637 mean: 3.948599100112915
jlbaker361/elgammal-0-ddpo-3 std: 0.256237268447876 mean: 3.848614454269409 | [] | [
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8123aa071de94ac3f761e020c94170257a78aeae |
# Self-Rag Tokens Dataset
This dataset is a spin off of the work from [Self-Rag training data](https://huggingface.co/datasets/selfrag/selfrag_train_data).
In Self-RAG, the authors show how a LLM can be trained to predict tokens for retrieval, if the context is relevant/irrelevant, if the answer is supported, and ho... | sms1097/self_rag_tokens_train_data | [
"language:en",
"license:mit",
"region:us"
] | 2024-01-31T02:48:55+00:00 | {"language": ["en"], "license": "mit", "pretty_name": "f", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "retrieval", "dtype": "string"}, {"name": "doc", "dtype": "string"}, {"name": "relevant", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "support", "dtype": ... | 2024-02-01T01:45:20+00:00 | [] | [
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#language-English #license-mit #region-us
|
# Self-Rag Tokens Dataset
This dataset is a spin off of the work from Self-Rag training data.
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08fdc0c48e2c528f1d9f01110e320f4951b3050a | # Dataset Card for "lmind_nq_full_v1_reciteonly_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_nq_full_v1_reciteonly_qa | [
"region:us"
] | 2024-01-31T02:52:39+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_qa", "path": "data/train_qa-*"}, {"split": "train_recite_qa", "path": "data/train_recite_qa-*"}, {"split": "eval_qa", "path": "data/eval_qa-*"}, {"split": "eval_recite_qa", "path": "data/eval_recite_qa-*"}, {"split": "all_docs", "path": "data/all_d... | 2024-01-31T02:53:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lmind_nq_full_v1_reciteonly_qa"
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194bc182267c12bf92dd10a85a959c51d0922d08 | # Milady
[Milady Maker](https://miladymaker.net/) is a collection of 10,000 generative pfpNFT's in a neochibi aesthetic inspired by street style tribes.
 | hayden-donnelly/milady | [
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Milady Maker is a collection of 10,000 generative pfpNFT's in a neochibi aesthetic inspired by street style tribes.
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35fcfce49343cd8fdfe399231441bbb8410f1b10 | This dataset was made specifically for multilabel classification using the following process:
1. Downloading https://mtgjson.com/api/v5/AtomicCards.json.bz2 on January 10, 2024
2. Encoding color identity of each card into the `labels` feature
```python
colors = ['B', 'G', 'R', 'U', 'W']
b = [1, 0, 0, 0, 0]
bw = [1, 0,... | joshuasundance/mtg-coloridentity-multilabel-classification | [
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#task_categories-text-classification #task_ids-multi-label-classification #size_categories-10K<n<100K #language-English #license-mit #mtg #multilabel #magic #region-us
| This dataset was made specifically for multilabel classification using the following process:
1. Downloading URL on January 10, 2024
2. Encoding color identity of each card into the 'labels' feature
3. Concatenating card name and card text into the 'text' feature
4. 'split = ds['train'].train_test_split(test_size=0.2... | [] | [
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ed72fd6220615fe6fbf091e8a450835d69d49f34 |
# Dataset Card for hh-rlhf-strength-cleaned
**Other Language Versions: [English](README.md), [中文](README_zh.md).**
## Dataset Description
In the paper titled "[Secrets of RLHF in Large Language Models Part II: Reward Modeling](https://arxiv.org/abs/2401.06080)" we measured the preference strength of each preference ... | LEE0v0/222 | [
"arxiv:2401.06080",
"region:us"
] | 2024-01-31T04:04:17+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "train.jsonl.gz"}, {"split": "valid", "path": "valid.jsonl.gz"}]}]} | 2024-01-31T10:55:30+00:00 | [
"2401.06080"
] | [] | TAGS
#arxiv-2401.06080 #region-us
| Dataset Card for hh-rlhf-strength-cleaned
=========================================
Other Language Versions: English, 中文.
Dataset Description
-------------------
In the paper titled "Secrets of RLHF in Large Language Models Part II: Reward Modeling" we measured the preference strength of each preference pair in t... | [] | [
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84321e51921f20211c5ed46ca35c37712546ae98 |
# 🚀 Load Dataset
```python
from datasets import load_dataset
dataset = load_dataset("shuyuej/prompt_consistency_train_set")
dataset = dataset["train"]
print(dataset)
```
| shuyuej/prompt_consistency_train_set | [
"license:apache-2.0",
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232c6fe7143a865fd79894c255b11ffe9214bee6 | # Dataset Card for "UltraTextbooks"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Repository](#repository)
- [Purpose](#purpose)
- [Data Sources](#data-sources)
- [Composition](#composition)
- [Size](#size)
- [Content Summary](#content-summary)
- [Data Splits](#data-splits)
- [Dat... | Locutusque/UltraTextbooks | [
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| # Dataset Card for "UltraTextbooks"
## Table of Contents
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- Purpose
- Data Sources
- Composition
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- Content Summary
- Data Splits
- Data Fields
- Data Collection Process
- Data Collection
- Curation Rationale
- Source Data
- Data Quality
- Limitations
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a1cdf35de47f95388dd3589b88c55e6bc207c2bd | # Dataset Card for "minidataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Memin25/minidatasets | [
"region:us"
] | 2024-01-31T05:36:14+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 292505.5375, "num_examples": 3586}, {"name": "validation", "num_bytes": 32545.93125, "num_examples": 399}], "download_size": 177030, "dataset_size": 325051.46875}... | 2024-01-31T05:36:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "minidataset"
More Information needed | [
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cfaa0f9a1b0066a2a141565ada5c39c59bf125d2 | # Dataset Card for "bigdataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Memin25/bigdatasets | [
"region:us"
] | 2024-01-31T05:38:31+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3789237.142175591, "num_examples": 46406}, {"name": "validation", "num_bytes": 421089.857824409, "num_examples": 5157}], "download_size": 2280330, "dataset_size":... | 2024-01-31T05:38:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bigdataset"
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0b84f5e2da748f5cf90d46f82b0408e04cc58df6 | # Dataset Card
See: https://datadreamer.dev/docs/latest/pages/get_started/quick_tour/bootstrapping_machine_translation.html
---
This dataset was produced with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card can be found [here](datadreamer.json). | datadreamer-dev/english_to_tamil | [
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| # Dataset Card
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6a9102765b4604b6594872bb2d67df7f9469d0d9 | # NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
## Abstract:
Existing evaluation benchmarks of language models of code (code LMs) focus almost exclusively on whether the LMs can generate functionally-correct code. In real-world software engineering, developers think beyond function... | ManavSinghal157/NoFunEval | [
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| NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
==================================================================================
Abstract:
---------
Existing evaluation benchmarks of language models of code (code LMs) focus almost exclusively on whether the LMs can generate func... | [
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3dc567ddbf93b51a55526fb1ea62a8701d7b3921 |
## 1. Introduction
Large language models (LLMs) are increasingly relied upon for complex multi-turn conversations across diverse real-world applications. However, existing benchmarks predominantly focus on single-turn evaluations, overlooking the models' capabilities in multi-turn interactions. To address this gap, we... | wckwan/MT-Eval | [
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| 1. Introduction
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c28dfc8cc1602898048a3b3eba3888b55aab040b |
### Purpose: This dataset contains a series of question-and-answer pairs related to various STEM (Science, Technology, Engineering, Mathematics) topics. The dataset is designed to train and evaluate ... | knowrohit07/saraswati-stem | [
"license:openrail",
"region:us"
] | 2024-01-31T06:41:58+00:00 | {"license": "openrail"} | 2024-01-31T12:00:01+00:00 | [] | [] | TAGS
#license-openrail #region-us
|
!image/png
### Purpose: This dataset contains a series of question-and-answer pairs related to various STEM (Science, Technology, Engineering, Mathematics) topics. The dataset is designed to train and evaluate models for conversational agents, particularly in educational and informational contexts.
Data Collection a... | [
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05e70dcb14911cdf734231a34c30140953fc5a3b | # Dataset Card for "riddles_evolved"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MazzzyStar/riddles_evolved | [
"region:us"
] | 2024-01-31T06:42:06+00:00 | {"dataset_info": {"features": [{"name": "number", "dtype": "int64"}, {"name": "messages", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 365739, "num_examples": 281}], "download_size": 195536, "dataset_size": 365739}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "d... | 2024-01-31T06:42:10+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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8ca7a36a6a38c0eb82ed8ed7d91eb7b87ddcd664 | # Dataset Card
See: https://datadreamer.dev/docs/latest/pages/get_started/quick_tour/attributed_prompts.html
---
This dataset was produced with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card can be found [here](datadreamer.json). | datadreamer-dev/movie_reviews | [
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"datadreamer",
"datadreamer-0.1.0",
"synthetic",
"gpt-4",
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#size_categories-1K<n<10K #datadreamer #datadreamer-0.1.0 #synthetic #gpt-4 #region-us
| # Dataset Card
See: URL
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22281de3104e9ac339a228d14d9933023a67a77d | # Dataset Card for "lmind_hotpot_train1000_eval200_v1_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_hotpot_train1000_eval200_v1_qa | [
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c1bdf04f0dc64818fec787ce9dd57f78040ae486 | # Dataset Card for "lmind_hotpot_train1000_eval200_v1_doc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_hotpot_train1000_eval200_v1_doc | [
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601321556e75072c13953385f841885c9b8cbf63 | # Dataset Card for "lmind_hotpot_train1000_eval200_v1_doc_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa | [
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fff7c2952df6747bfa5fd2af6b9cfc05a1be6731 | # Dataset Card for "lmind_hotpot_train1000_eval200_v1_recite_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_hotpot_train1000_eval200_v1_recite_qa | [
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169ba9f598a6b22cf73ca9cd381100222734f384 | # Dataset Card for "lmind_hotpot_train1000_eval200_v1_reciteonly_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_hotpot_train1000_eval200_v1_reciteonly_qa | [
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3f71caa093f406e88345f73ea5702243b35e8473 | This dataset is extracted from lmsys/lmsys-chat-1m.
Multiple filters were used to extract 800+ pieces of sex-related data.
Removed:
- prompt words generated by role-playing programs.
- Jailbreak prompts.
- Answers that are too "appropriate" | tastypear/lmsys-chat-lewd-minimal | [
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"region:us"
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] | TAGS
#task_categories-conversational #language-English #region-us
| This dataset is extracted from lmsys/lmsys-chat-1m.
Multiple filters were used to extract 800+ pieces of sex-related data.
Removed:
- prompt words generated by role-playing programs.
- Jailbreak prompts.
- Answers that are too "appropriate" | [] | [
"TAGS\n#task_categories-conversational #language-English #region-us \n"
] | [
20
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"passage: TAGS\n#task_categories-conversational #language-English #region-us \n"
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c6c64e1fd3186261b9fc56b5c5450ef78a6ad123 | # Dataset Card for "FinT_completion_dataset"
Fintech Advices Dataset for HACK4SOC2 Hackathon
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | VaibhavGp69/FinT_completion_dataset | [
"region:us"
] | 2024-01-31T07:00:57+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "completion_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 556870, "num_examples": 100}], "download_size": 323296, "dataset_size": 556870}, "configs": [{"config_name": "default"... | 2024-02-04T02:46:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FinT_completion_dataset"
Fintech Advices Dataset for HACK4SOC2 Hackathon
More Information needed | [
"# Dataset Card for \"FinT_completion_dataset\"\nFintech Advices Dataset for HACK4SOC2 Hackathon\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"FinT_completion_dataset\"\nFintech Advices Dataset for HACK4SOC2 Hackathon\nMore Information needed"
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8a087325c5878698478369a0f6f9be7930245bc9 | <s>[INST]<<SYS>>Assign a positive or negative sentiment to this review, and place it into its common bucket given crowd, wait time, rides, prices, maintenance, prices, or if none of these, other.<</SYS>>all and all a great day was had. the crowds are huge and ride times sometimes up to a 50 min wait but worth it. very ... | acoinster/Capstone-Training-1-31 | [
"region:us"
] | 2024-01-31T07:39:32+00:00 | {} | 2024-02-13T15:51:54+00:00 | [] | [] | TAGS
#region-us
| <s>[INST]<<SYS>>Assign a positive or negative sentiment to this review, and place it into its common bucket given crowd, wait time, rides, prices, maintenance, prices, or if none of these, other.<</SYS>>all and all a great day was had. the crowds are huge and ride times sometimes up to a 50 min wait but worth it. very ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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44870138a15acd368b1869efde752b9b0ccc6e9f | # Dataset Card for "biggerdatasets"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Memin25/biggerdatasets | [
"region:us"
] | 2024-01-31T07:58:27+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 88737364.65535891, "num_examples": 1456363}, {"name": "validation", "num_bytes": 9859761.344641086, "num_examples": 161819}], "download_size": 59799132, "dataset_... | 2024-01-31T07:58:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "biggerdatasets"
More Information needed | [
"# Dataset Card for \"biggerdatasets\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"biggerdatasets\"\n\nMore Information needed"
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c727a00922293b630c4e1c97fefb93a198216f7c |
Photography from https://unsplash.com/@duskfallcrew
Duskfallcrew from Earth & Dusk
This is largely our photography from our phone from 2024, some of it unable to go on unsplash because 108mp samsung camera. | EarthnDusk/Photography_2024 | [
"size_categories:n<1K",
"language:en",
"license:creativeml-openrail-m",
"art",
"region:us"
] | 2024-01-31T08:10:22+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "size_categories": ["n<1K"], "pretty_name": "Photography 2024 - Earth & Dusk", "tags": ["art"]} | 2024-01-31T08:33:35+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-creativeml-openrail-m #art #region-us
|
Photography from URL
Duskfallcrew from Earth & Dusk
This is largely our photography from our phone from 2024, some of it unable to go on unsplash because 108mp samsung camera. | [] | [
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] | [
"passage: TAGS\n#size_categories-n<1K #language-English #license-creativeml-openrail-m #art #region-us \n"
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b4f1475f064aef405f028674c8dbc2f315b92c61 | # Dataset Card for "guanaco-llama2-200"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hmzkhnswt/guanaco-llama2-200 | [
"region:us"
] | 2024-01-31T09:50:55+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 338808, "num_examples": 200}], "download_size": 201258, "dataset_size": 338808}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2024-01-31T09:50:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "guanaco-llama2-200"
More Information needed | [
"# Dataset Card for \"guanaco-llama2-200\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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2ef63bd479aab33e9fccd3e3570297656d54f5d1 | # Dataset Card for "xnli_de_sub_sampled_3000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mtc/xnli_de_sub_sampled_3000 | [
"region:us"
] | 2024-01-31T10:01:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": ... | 2024-01-31T10:01:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xnli_de_sub_sampled_3000"
More Information needed | [
"# Dataset Card for \"xnli_de_sub_sampled_3000\"\n\nMore Information needed"
] | [
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abdde3200f533ddae5bed2438057f1f7ea2d5131 | # Dataset Card for "coco-30-val-2014"
This is 30k randomly sampled image-captioned pairs from the [COCO](https://cocodataset.org/) 2014 `val` split. This is useful for image generation benchmarks (FID, CLIPScore, etc.).
Refer to the gist to know how the dataset was created: https://gist.github.com/sayakpaul/0c4435a1d... | sayakpaul/coco-30-val-2014 | [
"region:us"
] | 2024-01-31T10:19:45+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4993980142.0, "num_examples": 30000}], "download_size": 4898811398, "dataset_size": 4993980142.0}} | 2024-02-05T07:13:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "coco-30-val-2014"
This is 30k randomly sampled image-captioned pairs from the COCO 2014 'val' split. This is useful for image generation benchmarks (FID, CLIPScore, etc.).
Refer to the gist to know how the dataset was created: URL | [
"# Dataset Card for \"coco-30-val-2014\"\n\nThis is 30k randomly sampled image-captioned pairs from the COCO 2014 'val' split. This is useful for image generation benchmarks (FID, CLIPScore, etc.).\n\nRefer to the gist to know how the dataset was created: URL"
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] |
2ddc06d411799b19ff89b74acc38976140d1af15 |
German version of [TIGER-Lab/MathInstruct](TIGER-Lab/MathInstruct). Translated using DeepL (informal style).
Currently limited to the first 56_793 examples.
|lang|#chars|
|---|---|
|en|38_793_154|
|de|42_851_569|
| maxidl/MathInstruct-de | [
"region:us"
] | 2024-01-31T10:29:19+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "messages_en", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "messages_de", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "trai... | 2024-01-31T10:32:41+00:00 | [] | [] | TAGS
#region-us
| German version of TIGER-Lab/MathInstruct. Translated using DeepL (informal style).
Currently limited to the first 56\_793 examples.
| [] | [
"TAGS\n#region-us \n"
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53654ab8789944627d947cc9a5a0a06b9a4b68c3 |
# Persona-bias
Data accompanying the paper **_Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs_** at [ICLR 2024](https://iclr.cc/Conferences/2024).
[Paper](https://arxiv.org/abs/2311.04892) || [Code](https://github.com/allenai/persona-bias) || [Project website](https://allenai.github.io/persona-bia... | allenai/persona-bias | [
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"Reasoning",
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"Persona",
"arxiv:2311.04892",
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] | 2024-01-31T10:55:22+00:00 | {"language": ["en"], "license": "other", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation", "question-answering"], "pretty_name": "Persona-Bias", "license_name": "ai2-impact-license-low-risk", "license_link": "https://allenai.org/licenses/impact-lr", "viewer": false, "extra_gated_prompt": "Access t... | 2024-02-05T07:31:13+00:00 | [
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| Persona-bias
============
Data accompanying the paper *Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs* at ICLR 2024.
Paper || Code || Project website || License
<img src="URL width=550>
Motivation
----------
This is a dataset of model outputs supporting our extensive study of biases in per... | [
"### Models:\n\n\nThe dataset consists of outputs from 4 LLMs *(June'23 and Nov'23 versions of ChatGPT-3.5, GPT-4-Turbo, and Llama-2-70b-chat)*.",
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0d853601fbae258bf140346c421349b53fd52e4e | # Dataset Card for "PocketDataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/PocketDataset | [
"region:us"
] | 2024-01-31T11:02:08+00:00 | {"dataset_info": {"features": [{"name": "-logKd/Ki", "dtype": "float64"}, {"name": "inputs", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4918269, "num_examples": 18926}], "download_size": 1980562, "dataset_size": 4918269}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path... | 2024-01-31T11:02:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PocketDataset"
More Information needed | [
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cffbb5a5f74cde73877e48d2ee42c9562c603205 | # Dataset Card for "FineTuneDatasetPocket"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/FineTuneDatasetPocket | [
"region:us"
] | 2024-01-31T11:06:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "-logKd/Ki", "dtype": "float64"}, {"name": "inputs", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "s... | 2024-01-31T11:06:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FineTuneDatasetPocket"
More Information needed | [
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675bc6fda795579c133af5bc7106b4fac348da3c |
# Dataset Card for sharegpt-curation
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-wit... | dvilasuero/sharegpt-curation | [
"size_categories:10K<n<100K",
"rlfh",
"argilla",
"human-feedback",
"arxiv:2307.09288",
"region:us"
] | 2024-01-31T11:10:23+00:00 | {"size_categories": "10K<n<100K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2024-01-31T11:22:49+00:00 | [
"2307.09288"
] | [] | TAGS
#size_categories-10K<n<100K #rlfh #argilla #human-feedback #arxiv-2307.09288 #region-us
| Dataset Card for sharegpt-curation
==================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---... | [
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1b5e019457d49b311cd9e3a2a96f1891ee94cae5 | # Dutch Nouns v1
<!-- Provide a quick summary of the dataset. -->
This dataset contains 238K unique Dutch words that can occur in the Dutch language as nouns.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
Finding nouns in Dutch text is a very challenging tas... | Cornelistools/Dutch-nouns-v1 | [
"task_categories:token-classification",
"size_categories:100K<n<1M",
"language:nl",
"license:cc-by-nc-4.0",
"region:us"
] | 2024-01-31T11:55:13+00:00 | {"language": ["nl"], "license": "cc-by-nc-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["token-classification"], "pretty_name": "Dutch Nouns v1"} | 2024-02-02T13:37:05+00:00 | [] | [
"nl"
] | TAGS
#task_categories-token-classification #size_categories-100K<n<1M #language-Dutch #license-cc-by-nc-4.0 #region-us
| Dutch Nouns v1
==============
This dataset contains 238K unique Dutch words that can occur in the Dutch language as nouns.
Dataset Details
---------------
### Dataset Description
Finding nouns in Dutch text is a very challenging task.
In particular, it is sometimes hard to distinguish between the same words tha... | [
"### Dataset Description\n\n\nFinding nouns in Dutch text is a very challenging task.\nIn particular, it is sometimes hard to distinguish between the same words that can be used as a noun, verb or other type depending on the context.\nIn recent years we have become masters of this task, resulting in fully automated... | [
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e7ca42f5d1f2b0c72510088f86c2acb49a4aeba9 | This is the official release of resources for the RAVQA-V2. This repository contains the pre-extracted features for OK-VQA, and the pre-trained checkpoints for RAVQA-V2 (equipped with Fine-grained Late-interaction Multi-modal Retrieval).
The code can be found on [Github](https://github.com/LinWeizheDragon/Retrieval-Aug... | BByrneLab/RAVQAV2Data | [
"task_categories:question-answering",
"language:en",
"license:mit",
"VQA",
"KBVQA",
"RAVQA",
"Retrieval",
"region:us"
] | 2024-01-31T12:22:23+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["question-answering"], "tags": ["VQA", "KBVQA", "RAVQA", "Retrieval"]} | 2024-01-31T23:50:56+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #language-English #license-mit #VQA #KBVQA #RAVQA #Retrieval #region-us
| This is the official release of resources for the RAVQA-V2. This repository contains the pre-extracted features for OK-VQA, and the pre-trained checkpoints for RAVQA-V2 (equipped with Fine-grained Late-interaction Multi-modal Retrieval).
The code can be found on Github
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fbdf8ac632a3dce065f85f1a9e2d159e6d3557ea | indoMMLU dataset with converted into Mistral prompt template format<br>
<br>
original dataset source: https://huggingface.co/datasets/indolem/IndoMMLU | Willy030125/indoMMLU_Mistral-instruct-template | [
"license:afl-3.0",
"region:us"
] | 2024-01-31T12:42:34+00:00 | {"license": "afl-3.0"} | 2024-01-31T14:41:04+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| indoMMLU dataset with converted into Mistral prompt template format<br>
<br>
original dataset source: URL | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
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14
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"passage: TAGS\n#license-afl-3.0 #region-us \n"
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2498085e3e53c8bc95f4054743cacd1f5e177d6d | # Introduction
This is a visual-text pair dataset synergistically generated by a text-to-image model and multimodal large language model.
The name of the file means (n_th generation)\_(numbers of batch)\_(numbers of initial description of each batch)\_(numbers of refined cycles of each initial description)
For example... | MaoXun/Synergy-General-MultimodalPairs | [
"task_categories:visual-question-answering",
"size_categories:1K<n<10K",
"language:en",
"llm",
"visual",
"text",
"mllm",
"region:us"
] | 2024-01-31T12:55:07+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["visual-question-answering"], "tags": ["llm", "visual", "text", "mllm"]} | 2024-02-04T10:46:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-visual-question-answering #size_categories-1K<n<10K #language-English #llm #visual #text #mllm #region-us
| # Introduction
This is a visual-text pair dataset synergistically generated by a text-to-image model and multimodal large language model.
The name of the file means (n_th generation)\_(numbers of batch)\_(numbers of initial description of each batch)\_(numbers of refined cycles of each initial description)
For example... | [
"# Introduction\nThis is a visual-text pair dataset synergistically generated by a text-to-image model and multimodal large language model.\n\nThe name of the file means (n_th generation)\\_(numbers of batch)\\_(numbers of initial description of each batch)\\_(numbers of refined cycles of each initial description)\... | [
"TAGS\n#task_categories-visual-question-answering #size_categories-1K<n<10K #language-English #llm #visual #text #mllm #region-us \n",
"# Introduction\nThis is a visual-text pair dataset synergistically generated by a text-to-image model and multimodal large language model.\n\nThe name of the file means (n_th gen... | [
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"passage: TAGS\n#task_categories-visual-question-answering #size_categories-1K<n<10K #language-English #llm #visual #text #mllm #region-us \n# Introduction\nThis is a visual-text pair dataset synergistically generated by a text-to-image model and multimodal large language model.\n\nThe name of the file means (n_th ... |
2c175ec139039c6c11bb4900fc46d199589910a0 |
# BEE-spoke-data/jinaai_negation-dataset-v2-hf
This is `jinaai/negation-dataset-v2` but in 'hf' format so it's just parquet files for ease-of-use | BEE-spoke-data/jinaai_negation-dataset-v2-hf | [
"task_categories:sentence-similarity",
"size_categories:10K<n<100K",
"source_datasets:jinaai/negation-dataset-v2",
"language:en",
"license:odc-by",
"region:us"
] | 2024-01-31T13:39:01+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["10K<n<100K"], "source_datasets": "jinaai/negation-dataset-v2", "task_categories": ["sentence-similarity"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "positive", "dtype": "string"}, {"name": "negative", "dtype": "string"}, {... | 2024-01-31T16:46:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #size_categories-10K<n<100K #source_datasets-jinaai/negation-dataset-v2 #language-English #license-odc-by #region-us
|
# BEE-spoke-data/jinaai_negation-dataset-v2-hf
This is 'jinaai/negation-dataset-v2' but in 'hf' format so it's just parquet files for ease-of-use | [
"# BEE-spoke-data/jinaai_negation-dataset-v2-hf\n\nThis is 'jinaai/negation-dataset-v2' but in 'hf' format so it's just parquet files for ease-of-use"
] | [
"TAGS\n#task_categories-sentence-similarity #size_categories-10K<n<100K #source_datasets-jinaai/negation-dataset-v2 #language-English #license-odc-by #region-us \n",
"# BEE-spoke-data/jinaai_negation-dataset-v2-hf\n\nThis is 'jinaai/negation-dataset-v2' but in 'hf' format so it's just parquet files for ease-of-us... | [
61,
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"passage: TAGS\n#task_categories-sentence-similarity #size_categories-10K<n<100K #source_datasets-jinaai/negation-dataset-v2 #language-English #license-odc-by #region-us \n# BEE-spoke-data/jinaai_negation-dataset-v2-hf\n\nThis is 'jinaai/negation-dataset-v2' but in 'hf' format so it's just parquet files for ease-of... |
4dfe8a471b367a8e1d049c4c6f97da4ab2563aac |
# Project 1 Proposal of the Long Term Care(LTC) Aggregated Dataset
KAO, HSUAN-CHEN(Justin) <br>
NetID: hk310
## Dataset Details
The long-term care aggregated dataset, essential for conducting experience studies, is an extensive and valuable compilation of variables central to the analysis and prediction of long-... | mastergopote44/Long-Term-Care-Aggregated-Data | [
"size_categories:100M<n<1B",
"license:apache-2.0",
"Actuarial Science",
"LTC Products",
"region:us"
] | 2024-01-31T13:50:05+00:00 | {"license": "apache-2.0", "size_categories": ["100M<n<1B"], "tags": ["Actuarial Science", "LTC Products"]} | 2024-02-17T16:23:55+00:00 | [] | [] | TAGS
#size_categories-100M<n<1B #license-apache-2.0 #Actuarial Science #LTC Products #region-us
|
# Project 1 Proposal of the Long Term Care(LTC) Aggregated Dataset
KAO, HSUAN-CHEN(Justin) <br>
NetID: hk310
## Dataset Details
The long-term care aggregated dataset, essential for conducting experience studies, is an extensive and valuable compilation of variables central to the analysis and prediction of long-... | [
"# Project 1 Proposal of the Long Term Care(LTC) Aggregated Dataset \n\nKAO, HSUAN-CHEN(Justin) <br> \nNetID: hk310",
"## Dataset Details\n\nThe long-term care aggregated dataset, essential for conducting experience studies, is an extensive and valuable compilation of variables central to the analysis and predic... | [
"TAGS\n#size_categories-100M<n<1B #license-apache-2.0 #Actuarial Science #LTC Products #region-us \n",
"# Project 1 Proposal of the Long Term Care(LTC) Aggregated Dataset \n\nKAO, HSUAN-CHEN(Justin) <br> \nNetID: hk310",
"## Dataset Details\n\nThe long-term care aggregated dataset, essential for conducting exp... | [
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"passage: ## Dataset Details\n\nThe long-term care aggregated dataset, essential for co... |
442ec3744b956533c9c1d69d0c9cc955fc0e062f |
# Dataset Card for MMLU Auxiliary Trained Set Labelled by e5-mistral-7b-instruct
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#datas... | kz919/mmlu-auxiliary-train-e5-mistral-7b-instruct | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-31T13:55:43+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "pretty_name": "MMLU auxiliary trained set labelled by e5 mistral 7b instruct", "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name":... | 2024-01-31T20:38:46+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
# Dataset Card for MMLU Auxiliary Trained Set Labelled by e5-mistral-7b-instruct
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source... | [
"# Dataset Card for MMLU Auxiliary Trained Set Labelled by e5-mistral-7b-instruct",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Ra... | [
"TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n",
"# Dataset Card for MMLU Auxiliary Trained Set Labelled by e5-mistral-7b-instruct",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n ... | [
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0c63933f71876be2febfbc26fad5069b2cda9381 | This dataset is a modified version of the openassistant-guanaco dataset [1], which is a subset of the Open Assistant dataset [2]
References
* [1] https://huggingface.co/datasets/timdettmers/openassistant-guanaco
* [2] https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main
* [3] https://huggingface.co/mistralai... | hbamoba/openassistant-guanaco-mistral | [
"license:apache-2.0",
"region:us"
] | 2024-01-31T14:07:09+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15736333, "num_examples": 9846}], "download_size": 9174838, "dataset_size": 15736333}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]... | 2024-01-31T14:38:33+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| This dataset is a modified version of the openassistant-guanaco dataset [1], which is a subset of the Open Assistant dataset [2]
References
* [1] URL
* [2] URL
* [3] URL
The openassistant-guanaco dataset subset of the data only contains the highest-rated paths in the conversation tree from the Open Assistant dataset,... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
131db06d3bc12d6d60f5f3fafea51b0839137370 | ### Why this dataset ?
Training a multimodal router holds crucial significance in the realm of artificial intelligence. By harmonizing different specialized models within a constellation, the router plays a central role in intelligently orchestrating tasks. This approach not only enables precise classification but also... | Nielzac/Router_LLM_AUDIO_PICTURE | [
"task_categories:text-classification",
"size_categories:1M<n<10M",
"language:en",
"language:fr",
"license:apache-2.0",
"Routing",
"router",
"region:us"
] | 2024-01-31T14:08:21+00:00 | {"language": ["en", "fr"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-classification"], "pretty_name": "CoM_R_x3", "tags": ["Routing", "router"]} | 2024-02-09T08:30:44+00:00 | [] | [
"en",
"fr"
] | TAGS
#task_categories-text-classification #size_categories-1M<n<10M #language-English #language-French #license-apache-2.0 #Routing #router #region-us
| ### Why this dataset ?
Training a multimodal router holds crucial significance in the realm of artificial intelligence. By harmonizing different specialized models within a constellation, the router plays a central role in intelligently orchestrating tasks. This approach not only enables precise classification but also... | [
"### Why this dataset ?\nTraining a multimodal router holds crucial significance in the realm of artificial intelligence. By harmonizing different specialized models within a constellation, the router plays a central role in intelligently orchestrating tasks. This approach not only enables precise classification bu... | [
"TAGS\n#task_categories-text-classification #size_categories-1M<n<10M #language-English #language-French #license-apache-2.0 #Routing #router #region-us \n",
"### Why this dataset ?\nTraining a multimodal router holds crucial significance in the realm of artificial intelligence. By harmonizing different specializ... | [
54,
143,
35,
23,
16
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-1M<n<10M #language-English #language-French #license-apache-2.0 #Routing #router #region-us \n### Why this dataset ?\nTraining a multimodal router holds crucial significance in the realm of artificial intelligence. By harmonizing different specia... |
063f8938d5b4783960dfb6f9dbb8f3045c91045f | from datasets import load_dataset
dataset = load_dataset('json', data_files= "fixdata.JSON")
print(dataset)
for i in range(2):
print(dataset['train'][i]) | owrowr/testDataMAIDI | [
"task_categories:text-generation",
"region:us"
] | 2024-01-31T14:23:30+00:00 | {"task_categories": ["text-generation"]} | 2024-01-31T15:08:41+00:00 | [] | [] | TAGS
#task_categories-text-generation #region-us
| from datasets import load_dataset
dataset = load_dataset('json', data_files= "fixdata.JSON")
print(dataset)
for i in range(2):
print(dataset['train'][i]) | [] | [
"TAGS\n#task_categories-text-generation #region-us \n"
] | [
17
] | [
"passage: TAGS\n#task_categories-text-generation #region-us \n"
] |
368906ba8b9598c6ec26c38b4c2f1669786f06fd | # Dataset Card for "cowese_abrev_binary_topics_LDA_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/cowese_abrev_binary_topics_LDA_2 | [
"region:us"
] | 2024-01-31T14:26:08+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "short_form", "dtype": "string"}, {"name": "long_form", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "topic_vector", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 334454872, "num_examples": 411055}], "... | 2024-01-31T14:26:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cowese_abrev_binary_topics_LDA_2"
More Information needed | [
"# Dataset Card for \"cowese_abrev_binary_topics_LDA_2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cowese_abrev_binary_topics_LDA_2\"\n\nMore Information needed"
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6,
27
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"passage: TAGS\n#region-us \n# Dataset Card for \"cowese_abrev_binary_topics_LDA_2\"\n\nMore Information needed"
] |
b8213200895e07a10e10dd0d665bd212456ec7c9 |
# Plato: philosophy essays from plato.stanford.edu
Plato is a corpus of 2.4k high quality philosophy essays from [plato.stanford.edu](https://plato.stanford.edu). | korexyz/plato | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"philosophy",
"region:us"
] | 2024-01-31T14:35:41+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"], "pretty_name": "lato", "dataset_info": {"features": [{"name": "entry_id", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 186603801, "num_examples": 2424}],... | 2024-01-31T14:47:03+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1K<n<10K #language-English #license-mit #philosophy #region-us
|
# Plato: philosophy essays from URL
Plato is a corpus of 2.4k high quality philosophy essays from URL. | [
"# Plato: philosophy essays from URL\n\nPlato is a corpus of 2.4k high quality philosophy essays from URL."
] | [
"TAGS\n#task_categories-text-generation #size_categories-1K<n<10K #language-English #license-mit #philosophy #region-us \n",
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] | [
41,
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"passage: TAGS\n#task_categories-text-generation #size_categories-1K<n<10K #language-English #license-mit #philosophy #region-us \n# Plato: philosophy essays from URL\n\nPlato is a corpus of 2.4k high quality philosophy essays from URL."
] |
9b7b241a7da245bcdb32adf152a93716bb51924c | Priming | JoseRFJunior/priming-llama2-1k | [
"region:us"
] | 2024-01-31T14:36:25+00:00 | {} | 2024-01-31T15:43:39+00:00 | [] | [] | TAGS
#region-us
| Priming | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
67463ee81133a0e1313f1d40e684a98e8444de13 | # Dataset Card for "fashion_image_caption-100-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | filipsch/fashion_image_caption-100-v2 | [
"region:us"
] | 2024-01-31T15:06:57+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22820471.0, "num_examples": 100}], "download_size": 22820373, "dataset_size": 22820471.0}} | 2024-01-31T15:06:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fashion_image_caption-100-v2"
More Information needed | [
"# Dataset Card for \"fashion_image_caption-100-v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fashion_image_caption-100-v2\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"fashion_image_caption-100-v2\"\n\nMore Information needed"
] |
a6cce41c68fdfe4ed4290d5666673c4b57074cfc |
# Dataset Card for Phage Prediction Dataset
## Dataset Description
To train and assess our prediction models, we assembled a comprehensive phage sequence database from diverse sources.
As of July 9, 2023, we procured viral sequences and annotations from the RefSeq database. By isolating entries labeled 'phage', we ... | neuralbioinfo/phage-test-10k | [
"language:en",
"license:cc-by-nc-4.0",
"genomics",
"phage-prediction",
"bioinformatics",
"region:us"
] | 2024-01-31T15:07:01+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["genomics", "phage-prediction", "bioinformatics"], "dataset_info": {"features": [{"name": "segment_id", "dtype": "int64"}, {"name": "contig_id", "dtype": "string"}, {"name": "segment_start", "dtype": "int64"}, {"name": "segment_end", "dtype": "int64"}, {"name": "... | 2024-02-16T15:31:44+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-nc-4.0 #genomics #phage-prediction #bioinformatics #region-us
|
# Dataset Card for Phage Prediction Dataset
## Dataset Description
To train and assess our prediction models, we assembled a comprehensive phage sequence database from diverse sources.
As of July 9, 2023, we procured viral sequences and annotations from the RefSeq database. By isolating entries labeled 'phage', we ... | [
"# Dataset Card for Phage Prediction Dataset",
"## Dataset Description\n\nTo train and assess our prediction models, we assembled a comprehensive phage sequence database from diverse sources.\nAs of July 9, 2023, we procured viral sequences and annotations from the RefSeq database. By isolating entries labeled 'p... | [
"TAGS\n#language-English #license-cc-by-nc-4.0 #genomics #phage-prediction #bioinformatics #region-us \n",
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"## Dataset Description\n\nTo train and assess our prediction models, we assembled a comprehensive phage sequence database from diverse sources.\nAs of July 9... | [
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"passage: TAGS\n#language-English #license-cc-by-nc-4.0 #genomics #phage-prediction #bioinformatics #region-us \n# Dataset Card for Phage Prediction Dataset## Dataset Description\n\nTo train and assess our prediction models, we assembled a comprehensive phage sequence database from diverse sources.\nAs of July 9, 2... |
dcac59f93d97e28fd28d18ba710434713ef1b4c1 |
# Quantum Electronic Integrals
The files contained in this dataset
were produced with [GaussianBasis.jl](https://github.com/FermiQC/GaussianBasis.jl).
## Mono-Electronic
See [mono](https://huggingface.co/datasets/qml/integrals/tree/main/mono) for 1-electron integrals.
Each JSON file consists of a list of objects... | qml/integrals | [
"license:mit",
"region:us"
] | 2024-01-31T15:16:04+00:00 | {"license": "mit"} | 2024-01-31T17:45:27+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Quantum Electronic Integrals
The files contained in this dataset
were produced with URL.
## Mono-Electronic
See mono for 1-electron integrals.
Each JSON file consists of a list of objects of the following form
| [
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"## Mono-Electronic\n\nSee mono for 1-electron integrals. \nEach JSON file consists of a list of objects of the following form"
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"passage: TAGS\n#license-mit #region-us \n# Quantum Electronic Integrals\n\nThe files contained in this dataset \nwere produced with URL.## Mono-Electronic\n\nSee mono for 1-electron integrals. \nEach JSON file consists of a list of objects of the following form"
] |
a2559bb09b188081119f5b2ba9406f6b7edc7c70 |
# Dataset Card for ESKAPE Genomic Features Dataset
## Dataset Description
This dataset includes genomic segments from ESKAPE pathogens, characterized by various genomic features such as coding sequences (CDS), intergenic regions, ncRNA, and pseudogenes. It was analyzed to understand the representations captured by m... | neuralbioinfo/ESKAPE-genomic-features | [
"license:cc-by-nc-4.0",
"genomics",
"ESKAPE pathogens",
"bioinformatics",
"ProkBERT",
"region:us"
] | 2024-01-31T16:20:58+00:00 | {"license": "cc-by-nc-4.0", "tags": ["genomics", "ESKAPE pathogens", "bioinformatics", "ProkBERT"], "dataset_info": {"features": [{"name": "contig_id", "dtype": "string"}, {"name": "segment_id", "dtype": "string"}, {"name": "strand", "dtype": "string"}, {"name": "seq_start", "dtype": "int64"}, {"name": "seq_end", "dtyp... | 2024-02-15T13:39:16+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #genomics #ESKAPE pathogens #bioinformatics #ProkBERT #region-us
|
# Dataset Card for ESKAPE Genomic Features Dataset
## Dataset Description
This dataset includes genomic segments from ESKAPE pathogens, characterized by various genomic features such as coding sequences (CDS), intergenic regions, ncRNA, and pseudogenes. It was analyzed to understand the representations captured by m... | [
"# Dataset Card for ESKAPE Genomic Features Dataset",
"## Dataset Description\n\nThis dataset includes genomic segments from ESKAPE pathogens, characterized by various genomic features such as coding sequences (CDS), intergenic regions, ncRNA, and pseudogenes. It was analyzed to understand the representations cap... | [
"TAGS\n#license-cc-by-nc-4.0 #genomics #ESKAPE pathogens #bioinformatics #ProkBERT #region-us \n",
"# Dataset Card for ESKAPE Genomic Features Dataset",
"## Dataset Description\n\nThis dataset includes genomic segments from ESKAPE pathogens, characterized by various genomic features such as coding sequences (CD... | [
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12725db869c27bfd6e798e34e4a57db993db13d9 | # North Carolina Police Incident Dataset
## Dataset Description
- **Homepage:** The processed dataset, which will soon be updated, is available at the following Huggingface portal: https://huggingface.co/datasets/zwn22/NC_Crime. For the raw datasets, their respective homepages are:
- **Cary**:
- [Cary Open Data ... | zwn22/NC_Crime | [
"language:en",
"license:unknown",
"legal",
"region:us"
] | 2024-01-31T16:57:31+00:00 | {"language": ["en"], "license": "unknown", "tags": ["legal"]} | 2024-02-01T02:03:11+00:00 | [] | [
"en"
] | TAGS
#language-English #license-unknown #legal #region-us
| # North Carolina Police Incident Dataset
## Dataset Description
- Homepage: The processed dataset, which will soon be updated, is available at the following Huggingface portal: URL For the raw datasets, their respective homepages are:
- Cary:
- Cary Open Data Portal - CPD Incidents
- Chapel Hill:
- Chapel ... | [
"# North Carolina Police Incident Dataset",
"## Dataset Description\n\n- Homepage: The processed dataset, which will soon be updated, is available at the following Huggingface portal: URL For the raw datasets, their respective homepages are:\n - Cary:\n - Cary Open Data Portal - CPD Incidents\n - Chapel Hill... | [
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e096e19bcec66417f5d00465cea9fa0090cd5c2a | rows 10m to 11m from the DSIR pile | oknMswoztTPaAVreBrWy/dsir-pile-1m-2 | [
"region:us"
] | 2024-01-31T17:19:48+00:00 | {} | 2024-01-31T17:19:48+00:00 | [] | [] | TAGS
#region-us
| rows 10m to 11m from the DSIR pile | [] | [
"TAGS\n#region-us \n"
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"passage: TAGS\n#region-us \n"
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49f68b56d9104f60ac5acd92f6c472c1c2b97eef | rows 10m to 10.1m in the DSIR pile | oknMswoztTPaAVreBrWy/dsir-pile-100k | [
"region:us"
] | 2024-01-31T17:20:17+00:00 | {} | 2024-01-31T17:20:17+00:00 | [] | [] | TAGS
#region-us
| rows 10m to 10.1m in the DSIR pile | [] | [
"TAGS\n#region-us \n"
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44989d46866e5937f24410aa031f53d6d240745f | Prepared by TheGroup | houdini001/gold_v2 | [
"license:mit",
"region:us"
] | 2024-01-31T17:35:17+00:00 | {"license": "mit"} | 2024-01-31T17:39:18+00:00 | [] | [] | TAGS
#license-mit #region-us
| Prepared by TheGroup | [] | [
"TAGS\n#license-mit #region-us \n"
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11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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f7ccbfe704cf5a5c8be74a860c0b7947e4ccd8ef | This is our testing dataset for the skills. It contains all skill groups of the skills in our query samples. | Schandkroete/English_Skills_Test_Dataset | [
"region:us"
] | 2024-01-31T17:39:26+00:00 | {} | 2024-01-31T17:49:39+00:00 | [] | [] | TAGS
#region-us
| This is our testing dataset for the skills. It contains all skill groups of the skills in our query samples. | [] | [
"TAGS\n#region-us \n"
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6
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"passage: TAGS\n#region-us \n"
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4fb2cd5d7fb16998a359ca35e6497029794ade25 |
The Bürgerliche Gesetzbuch divided by each paragraph for text-generation. | wndknd/german-law-bgb | [
"task_categories:text-generation",
"language:de",
"license:mit",
"region:us"
] | 2024-01-31T18:16:57+00:00 | {"language": ["de"], "license": "mit", "task_categories": ["text-generation"]} | 2024-01-31T18:18:52+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #license-mit #region-us
|
The Bürgerliche Gesetzbuch divided by each paragraph for text-generation. | [] | [
"TAGS\n#task_categories-text-generation #language-German #license-mit #region-us \n"
] | [
26
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"passage: TAGS\n#task_categories-text-generation #language-German #license-mit #region-us \n"
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4cd2bfa53a7cdc7902e4f6b6be4211addbf2a631 | # Dataset Card for "Baarat-Hin-QA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AsphyXIA/Baarat-Hin-QA | [
"region:us"
] | 2024-01-31T18:18:41+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 334494171, "num_examples": 167574}], "download_size": 74390742, "dataset_size": 334494171}, "configs": [{"config_name": "defa... | 2024-02-06T07:58:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Baarat-Hin-QA"
More Information needed | [
"# Dataset Card for \"Baarat-Hin-QA\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Baarat-Hin-QA\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Baarat-Hin-QA\"\n\nMore Information needed"
] |
1cacae8fc13d6cecc4210c97e8f36d4b3745141c |
# Hideri Kanzaki (BlendS)
Dataset of Hideri Kanzaki from the Series Blend S, containing 152 images and captions in .txt files, based on the Dreambooth caption method.
Main tags found on the dataset are: (hideridef, otoko no ko, hair bow, black hairband, dress, short sleeves, frills, waist apron, frilled apron, skirt... | Hunko/BlendSHideriKanzaki-Dataset | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:cc-by-4.0",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-31T18:19:54+00:00 | {"license": "cc-by-4.0", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "pretty_name": "Hideri Kanzaki Dataset", "tags": ["art", "not-for-all-audiences"]} | 2024-01-31T18:28:08+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-cc-by-4.0 #art #not-for-all-audiences #region-us
| Hideri Kanzaki (BlendS)
=======================
Dataset of Hideri Kanzaki from the Series Blend S, containing 152 images and captions in .txt files, based on the Dreambooth caption method.
Main tags found on the dataset are: (hideridef, otoko no ko, hair bow, black hairband, dress, short sleeves, frills, waist apro... | [
"### Disclaimer\n\n\n* This dataset is intented to be used in generative AI - text-to-image models, it was created with the intended purpose of making a Stable-diffusion LoRA model.\n* the dataset was built upon the Dreambooth caption method, the dataset follows this structure:\n\n\nLicense\n=======\n\n\nThis datas... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-cc-by-4.0 #art #not-for-all-audiences #region-us \n",
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0cbdb02d243cbb9d359f2e8ac14f6b8d8069caef | # local/mikeion_dissertation_data
This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/mikeion/dissertation_data](https://huggingface.co/datasets/mikeion/dissertation_data)
To download the dataset to a local directory:
```bash
lilac download lilacai/mikei... | lilacai/mikeion_dissertation_data-local-mikeion_dissertation_data | [
"Lilac",
"region:us"
] | 2024-01-31T19:00:49+00:00 | {"tags": ["Lilac"]} | 2024-01-31T19:01:18+00:00 | [] | [] | TAGS
#Lilac #region-us
| # local/mikeion_dissertation_data
This dataset is a Lilac processed dataset. Original dataset: URL
To download the dataset to a local directory:
or from python with:
| [
"# local/mikeion_dissertation_data\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
] | [
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"# local/mikeion_dissertation_data\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
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"passage: TAGS\n#Lilac #region-us \n# local/mikeion_dissertation_data\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
] |
686d4e2104588b6dbf3b4674c09ba0df76fee256 | - id: ID of the data
- func_name: Function to be generated by the model usually the one that includes the SQL vulnerability
- description: Description of the func_name
- package: Package that the function uses
- GPT: GPT response to generate the code
- codes: Extracted code from GPT column
- bandit-out: Bandit result o... | euisuh15/gpt89 | [
"region:us"
] | 2024-01-31T19:29:47+00:00 | {} | 2024-02-01T11:10:24+00:00 | [] | [] | TAGS
#region-us
| - id: ID of the data
- func_name: Function to be generated by the model usually the one that includes the SQL vulnerability
- description: Description of the func_name
- package: Package that the function uses
- GPT: GPT response to generate the code
- codes: Extracted code from GPT column
- bandit-out: Bandit result o... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
b359fef0ef79f2e69d82609d7332efef2290d136 |
Service manuals (HD). 1903-98. | seanbethard/service-manuals-RAW | [
"task_categories:question-answering",
"language:en",
"license:mit",
"motorcycles",
"repair",
"region:us"
] | 2024-01-31T20:27:27+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["question-answering"], "pretty_name": "Service manuals (HD).", "viewer": false, "tags": ["motorcycles", "repair"]} | 2024-01-31T21:29:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #language-English #license-mit #motorcycles #repair #region-us
|
Service manuals (HD). 1903-98. | [] | [
"TAGS\n#task_categories-question-answering #language-English #license-mit #motorcycles #repair #region-us \n"
] | [
34
] | [
"passage: TAGS\n#task_categories-question-answering #language-English #license-mit #motorcycles #repair #region-us \n"
] |
52fbb3995c1abe807ca54d21ee221eaf3cf72350 | # lilac/OpenHermes-2.5
This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
To download the dataset to a local directory:
```bash
lilac download lilacai/lilac-OpenHermes-2.5
`... | lilacai/lilac-OpenHermes-2.5 | [
"Lilac",
"region:us"
] | 2024-01-31T20:31:40+00:00 | {"tags": ["Lilac"]} | 2024-01-31T22:55:07+00:00 | [] | [] | TAGS
#Lilac #region-us
| # lilac/OpenHermes-2.5
This dataset is a Lilac processed dataset. Original dataset: URL
To download the dataset to a local directory:
or from python with:
| [
"# lilac/OpenHermes-2.5\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
] | [
"TAGS\n#Lilac #region-us \n",
"# lilac/OpenHermes-2.5\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
] | [
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"passage: TAGS\n#Lilac #region-us \n# lilac/OpenHermes-2.5\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
] |
80f5ef4eea098551498affbfd1dddc81655787b0 | # Dataset Card for "processed_argilla"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dkshjn/processed_argilla | [
"region:us"
] | 2024-01-31T20:38:48+00:00 | {"dataset_info": {"features": [{"name": "system", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "generations", "sequence": "string"}, {"name": "order", "sequence": "string"}, {"name": "labelling_model", "dtype": "string... | 2024-01-31T20:39:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_argilla"
More Information needed | [
"# Dataset Card for \"processed_argilla\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"processed_argilla\"\n\nMore Information needed"
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15
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"passage: TAGS\n#region-us \n# Dataset Card for \"processed_argilla\"\n\nMore Information needed"
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5c60253fa6829ee9e5d9bb7031b17a0874a6eb45 | # Dataset Card for "ProteinDataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/ProteinDataset | [
"region:us"
] | 2024-01-31T20:41:24+00:00 | {"dataset_info": {"features": [{"name": "-logKd/Ki", "dtype": "float64"}, {"name": "inputs", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20294791, "num_examples": 18926}], "download_size": 7142113, "dataset_size": 20294791}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "pa... | 2024-01-31T20:41:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ProteinDataset"
More Information needed | [
"# Dataset Card for \"ProteinDataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ProteinDataset\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ProteinDataset\"\n\nMore Information needed"
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dbe80cd066d607e722aabc5d1e855013eabcf535 | # Dataset Card for "FineTuneDatasetProtein"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/FineTuneDatasetProtein | [
"region:us"
] | 2024-01-31T20:42:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "-logKd/Ki", "dtype": "float64"}, {"name": "inputs", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "s... | 2024-01-31T20:42:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FineTuneDatasetProtein"
More Information needed | [
"# Dataset Card for \"FineTuneDatasetProtein\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"FineTuneDatasetProtein\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"FineTuneDatasetProtein\"\n\nMore Information needed"
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694872676e35a5a7c0db0cad8b7aaeea4fa845d8 | # Dataset Card for "CASFPocket"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/CASFPocket | [
"region:us"
] | 2024-01-31T20:47:07+00:00 | {"dataset_info": {"features": [{"name": "#code", "dtype": "string"}, {"name": "inputs", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 61696, "num_examples": 285}], "download_size": 28629, "dataset_size": 61696}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/trai... | 2024-01-31T20:47:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CASFPocket"
More Information needed | [
"# Dataset Card for \"CASFPocket\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"CASFPocket\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"CASFPocket\"\n\nMore Information needed"
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b2c4f11c4c46748fa20d809077cd722eb3bf1ca4 | # Dataset Card for "CASFProtein"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/CASFProtein | [
"region:us"
] | 2024-01-31T20:50:22+00:00 | {"dataset_info": {"features": [{"name": "#code", "dtype": "string"}, {"name": "inputs", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 282426, "num_examples": 285}], "download_size": 94895, "dataset_size": 282426}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/tr... | 2024-01-31T20:50:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CASFProtein"
More Information needed | [
"# Dataset Card for \"CASFProtein\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"CASFProtein\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"CASFProtein\"\n\nMore Information needed"
] |
14e4a11d23adbd366a9da40dea18bbab4300c4e2 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | npiedra/testing | [
"size_categories:n<1K",
"region:us"
] | 2024-01-31T21:07:41+00:00 | {"size_categories": ["n<1K"]} | 2024-01-31T21:48:14+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
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6609b8556bd91fa734aecb8570d5ea8d8b1e1549 | # local/distilabel-capybara-dpo-7k-binarized
This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized](https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized)
To download the dataset to a local... | lilacai/distilabel-capybara-dpo-7k-binarized-local-distilabel-capybara-dpo-7k-binarized | [
"Lilac",
"region:us"
] | 2024-01-31T21:34:12+00:00 | {"tags": ["Lilac"]} | 2024-01-31T21:34:31+00:00 | [] | [] | TAGS
#Lilac #region-us
| # local/distilabel-capybara-dpo-7k-binarized
This dataset is a Lilac processed dataset. Original dataset: URL
To download the dataset to a local directory:
or from python with:
| [
"# local/distilabel-capybara-dpo-7k-binarized\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
] | [
"TAGS\n#Lilac #region-us \n",
"# local/distilabel-capybara-dpo-7k-binarized\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
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9,
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"passage: TAGS\n#Lilac #region-us \n# local/distilabel-capybara-dpo-7k-binarized\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
] |
6a8d17fb9d2a6ca9bdea8775db171ef9b6fc768c | 
# Dataset Summary
The `Aya Dataset` is a multilingual instruction fine-tuning dataset curated by an open-science community via [Aya Annotation Platform](https://aya.for.ai/) from Cohere For AI. The dataset contains a tota... | CohereForAI/aya_dataset | [
"task_categories:other",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:amh",
"language:arb",
... | 2024-01-31T21:40:16+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["amh", "arb", "ary", "ars", "acq", "arz", "apc", "ben", "ceb", "dan", "deu", "ell", "eng", "eus", "fil", "fin", "fra", "gle", "guj", "hat", "hau", "hin", "hun", "ibo", "ind", "ita", "ja... | 2024-02-13T10:31:12+00:00 | [
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"... | TAGS
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Dataset Summary
===============
The 'Aya Dataset' is a multilingual instruction fine-tuning dataset curated by an open-science community via Aya Annotation Platform from Cohere For AI. The dataset contains a total of 204k human-annotated prompt-completion pairs along with the demographics data of the an... | [
"### Human Annotations (Default)\n\n\nThe data fields are the same among all splits:\n\n\n* 'inputs': Prompt or input to the language model.\n* 'targets': Completion or output of the language model.\n* 'language': The language of the 'inputs' and 'targets'.\n* 'language\\_code': The ISO code for the language of the... | [
"TAGS\n#task_categories-other #annotations_creators-crowdsourced #annotations_creators-expert-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-100K<n<1M #source_datasets-original #language-Amharic #language-Standard Arabic #language-Morocca... | [
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"passage: TAGS\n#task_categories-other #annotations_creators-crowdsourced #annotations_creators-expert-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-100K<n<1M #source_datasets-original #language-Amharic #language-Standard ... |
4909bfde7fadf7c244d8a255b8e8985c00d5e2f2 |
# Dataset Summary
The Aya Collection is a massive multilingual collection consisting of 513 million instances of prompts and completions covering a wide range of tasks.
This collection incorporates instruction-style ... | CohereForAI/aya_collection | [
"task_categories:text-classification",
"task_categories:summarization",
"task_categories:translation",
"size_categories:100M<n<1B",
"language:ace",
"language:afr",
"language:amh",
"language:ara",
"language:aze",
"language:ban",
"language:bbc",
"language:bel",
"language:bem",
"language:ben"... | 2024-01-31T21:40:43+00:00 | {"language": ["ace", "afr", "amh", "ara", "aze", "ban", "bbc", "bel", "bem", "ben", "bjn", "bul", "cat", "ceb", "ces", "cym", "dan", "deu", "ell", "eng", "epo", "est", "eus", "fil", "fin", "fon", "fra", "gla", "gle", "glg", "guj", "hat", "hau", "heb", "hin", "hrv", "hun", "hye", "ibo", "ind", "isl", "ita", "jav", "jpn"... | 2024-02-13T10:29:46+00:00 | [
"2402.06619"
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#task_categories-text-classification #task_categories-summarization #task_categories-translation #size_categories-100M<n<1B #language-Achinese #language-Afrikaans #language-Amharic #language-Arabic #language-Azerbaijani #language-Balinese #language-Batak Toba #language-Belarusian #language-Bemba (Zambia) #language... | !Aya Header
Dataset Summary
===============
The Aya Collection is a massive multilingual collection consisting of 513 million instances of prompts and completions covering a wide range of tasks.
This collection incorporates instruction-style templates from fluent speakers and applies them to a curated list of datas... | [
"### Statistics\n\n\nThe total number of data points, including the Aya Dataset' is 513,758,189. To view the breakdown of dialect codes and the respective templated and translated data point counts in the Aya Collection , refer to the toggled table below.\n\n\n\n **Breakdown of Aya Collection data point counts gro... | [
"TAGS\n#task_categories-text-classification #task_categories-summarization #task_categories-translation #size_categories-100M<n<1B #language-Achinese #language-Afrikaans #language-Amharic #language-Arabic #language-Azerbaijani #language-Balinese #language-Batak Toba #language-Belarusian #language-Bemba (Zambia) #la... | [
729,
379
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"passage: "
] |
356a37411f0f113744126fd21fffb5c0c35c1ae8 | # AgoraX/AIEC-140K Dataset
===============================
Excited to Announce AgoraX/AIEC-140K!
An all-new dataset with super high High Quality AI Engineering Code Tokens totaling 140k samples!
## Introduction
------------
The AgoraX/AIEC-140K dataset is a collection of AI engineering code tokens from top research... | AgoraX/AIEC-140K | [
"task_categories:text-classification",
"task_categories:table-question-answering",
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:100K<n<1M",
"license:mit",
"code",
"region:us"
] | 2024-01-31T21:57:50+00:00 | {"license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "table-question-answering", "question-answering", "conversational"], "tags": ["code"]} | 2024-01-31T23:15:30+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_categories-table-question-answering #task_categories-question-answering #task_categories-conversational #size_categories-100K<n<1M #license-mit #code #region-us
| # AgoraX/AIEC-140K Dataset
===============================
Excited to Announce AgoraX/AIEC-140K!
An all-new dataset with super high High Quality AI Engineering Code Tokens totaling 140k samples!
## Introduction
------------
The AgoraX/AIEC-140K dataset is a collection of AI engineering code tokens from top research... | [
"# AgoraX/AIEC-140K Dataset\n===============================\n\nExcited to Announce AgoraX/AIEC-140K!\n\nAn all-new dataset with super high High Quality AI Engineering Code Tokens totaling 140k samples!",
"## Introduction\n------------\n\nThe AgoraX/AIEC-140K dataset is a collection of AI engineering code tokens ... | [
"TAGS\n#task_categories-text-classification #task_categories-table-question-answering #task_categories-question-answering #task_categories-conversational #size_categories-100K<n<1M #license-mit #code #region-us \n",
"# AgoraX/AIEC-140K Dataset\n===============================\n\nExcited to Announce AgoraX/AIEC-14... | [
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"passage: TAGS\n#task_categories-text-classification #task_categories-table-question-answering #task_categories-question-answering #task_categories-conversational #size_categories-100K<n<1M #license-mit #code #region-us \n# AgoraX/AIEC-140K Dataset\n===============================\n\nExcited to Announce AgoraX/AIEC... |
77079bee0bbbe16c25f69a634baa84eba4235b43 | # Dataset Card for "UC-first-turn-raj-tokenizer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bcui19/UC-first-turn-raj-tokenizer | [
"region:us"
] | 2024-01-31T22:22:57+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 532857739, "num_examples": 207865}], "download_size": 308545981, "dataset_size": 532857739}, "configs": [{"config_name": "default", "data_files": [{"split": "train", ... | 2024-01-31T22:23:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UC-first-turn-raj-tokenizer"
More Information needed | [
"# Dataset Card for \"UC-first-turn-raj-tokenizer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"UC-first-turn-raj-tokenizer\"\n\nMore Information needed"
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040812ecedc17bc1910fabe2e2e5f53e70eec1fd | # Dataset Card for "vp-er-14l"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | qmeeus/vp-er-14l | [
"region:us"
] | 2024-01-31T22:56:12+00:00 | {"dataset_info": [{"config_name": "multilang", "features": [{"name": "audio_id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "task", "dtype": "string"}, {"name": "language", "dtype": "string"}], "splits": [{"name": "train", "num_byte... | 2024-02-14T07:07:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vp-er-14l"
More Information needed | [
"# Dataset Card for \"vp-er-14l\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"vp-er-14l\"\n\nMore Information needed"
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