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a34b749e7c014428bbab888ab3f15982b92819a7 | # OpenCHAIR
The official OpenCHAIR dataset, introduced in [MOCHa: Multi-Objective Reinforcement Mitigating Caption Hallucinations](https://arxiv.org/pdf/2312.03631.pdf)
[Project Page](https://assafbk.github.io/mocha/)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("moranyanuka/OpenCH... | moranyanuka/OpenCHAIR | [
"license:apache-2.0",
"arxiv:2312.03631",
"region:us"
] | 2023-12-18T17:41:09+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 309448153.0, "num_examples": 2000}], "download_size": 307824866, "dataset_size": 309448153.0}, "configs": [{"config_name": "default", "data_files": ... | 2023-12-22T10:57:16+00:00 | [
"2312.03631"
] | [] | TAGS
#license-apache-2.0 #arxiv-2312.03631 #region-us
| # OpenCHAIR
The official OpenCHAIR dataset, introduced in MOCHa: Multi-Objective Reinforcement Mitigating Caption Hallucinations
Project Page
## Usage
To evaluate hallucinations of VLMs on OpenCHAIR, please refer to our GitHub repo.
bibtex:
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3258a262a00e7eeff468fdfd48182132ced2898a | # Dataset Card for "no_robots_formatted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rwitz2/no_robots_formatted | [
"region:us"
] | 2023-12-18T18:14:13+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "strin... | 2023-12-18T18:14:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "no_robots_formatted"
More Information needed | [
"# Dataset Card for \"no_robots_formatted\"\n\nMore Information needed"
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319650d25c8920a48ba9c36de1593d8d0b7f79a8 |
# Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare
This repository accompanies the paper ["Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare"](https://www.medrxiv.org/content/10.1101/2023.07.13.23292577v1).
## Overview
The data is ... | katielink/gpt4_bias | [
"license:unknown",
"medical",
"region:us"
] | 2023-12-18T18:47:23+00:00 | {"license": "unknown", "tags": ["medical"], "configs": [{"config_name": "nursing_bias", "data_files": "data/nursing_bias/unconscious_bias_nurses_final.csv", "default": true}, {"config_name": "healer_cases_ED_cases", "data_files": "data/healer_cases/ED_cases/ED_cases.csv"}, {"config_name": "healer_cases_chest_pain_outpu... | 2023-12-19T19:34:01+00:00 | [] | [] | TAGS
#license-unknown #medical #region-us
|
# Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare
This repository accompanies the paper "Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare".
## Overview
The data is available in the 'data_to_share' folder. This can be broken into ... | [
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cfd8a02dc734d26dc6fb0e5fef20dd2449649dc0 |
# Public Biodiversity Data
A collection of biodiversity-related datasets in the public domain.
Data objects are copied here to make more easily available over virtual filesystem protocols. Some datasets are also translated into cloud-optimized formats.
| cboettig/biodiversity | [
"license:pddl",
"region:us"
] | 2023-12-18T18:52:54+00:00 | {"license": "pddl"} | 2023-12-18T21:48:29+00:00 | [] | [] | TAGS
#license-pddl #region-us
|
# Public Biodiversity Data
A collection of biodiversity-related datasets in the public domain.
Data objects are copied here to make more easily available over virtual filesystem protocols. Some datasets are also translated into cloud-optimized formats.
| [
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] |
07968a61100c0e92cfa010f6d9598780cdf5762e |
## Book ratings
This dataset has two files:
* [Books_rating.csv](https://huggingface.co/datasets/rootstrap-org/books-ratings/blob/main/Books_rating.csv) --> With information about books ratings made by users
* [books_data.csv](https://huggingface.co/datasets/rootstrap-org/books-ratings/blob/main/books_data.csv) --> ... | rootstrap-org/books-ratings | [
"language:en",
"license:mit",
"region:us"
] | 2023-12-18T19:12:38+00:00 | {"language": ["en"], "license": "mit", "pretty_name": "Book ratings data"} | 2023-12-18T19:44:22+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
|
## Book ratings
This dataset has two files:
* Books_rating.csv --> With information about books ratings made by users
* books_data.csv --> Metadata about the books, title, author, genre, etc.
It is intended as an input dataset to train a recommender system.
It was obtained from this dataset of Amazon book reviews i... | [
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f2af717b870b0438625154acf2ba38a4cfca2d1f |
# Dataset Card for Evaluation run of upaya07/Birbal-7B-V1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [upaya07/Birbal-7B-V1](https://huggingface.co/upaya07/Birbal-7B-V1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_upaya07__Birbal-7B-V1 | [
"region:us"
] | 2023-12-18T19:25:54+00:00 | {"pretty_name": "Evaluation run of upaya07/Birbal-7B-V1", "dataset_summary": "Dataset automatically created during the evaluation run of model [upaya07/Birbal-7B-V1](https://huggingface.co/upaya07/Birbal-7B-V1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2023-12-19T05:44:34+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of upaya07/Birbal-7B-V1
Dataset automatically created during the evaluation run of model upaya07/Birbal-7B-V1 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 from 2 run(s). ... | [
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c362b63d77898f8795d3f8bc2aa85dbf17645be6 |
# Dataset Card for Evaluation run of YeungNLP/LongQLoRA-Llama2-7b-8k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [YeungNLP/LongQLoRA-Llama2-7b-8k](https://huggingface.co/YeungNLP/LongQLoRA-Llama2-7b-8k) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_YeungNLP__LongQLoRA-Llama2-7b-8k | [
"region:us"
] | 2023-12-18T19:29:44+00:00 | {"pretty_name": "Evaluation run of YeungNLP/LongQLoRA-Llama2-7b-8k", "dataset_summary": "Dataset automatically created during the evaluation run of model [YeungNLP/LongQLoRA-Llama2-7b-8k](https://huggingface.co/YeungNLP/LongQLoRA-Llama2-7b-8k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2023-12-18T19:30:28+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of YeungNLP/LongQLoRA-Llama2-7b-8k
Dataset automatically created during the evaluation run of model YeungNLP/LongQLoRA-Llama2-7b-8k 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 c... | [
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# Dataset Card for Evaluation run of rishiraj/CatPPT-base
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [rishiraj/CatPPT-base](https://huggingface.co/rishiraj/CatPPT-base) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_rishiraj__CatPPT-base | [
"region:us"
] | 2023-12-18T19:30:14+00:00 | {"pretty_name": "Evaluation run of rishiraj/CatPPT-base", "dataset_summary": "Dataset automatically created during the evaluation run of model [rishiraj/CatPPT-base](https://huggingface.co/rishiraj/CatPPT-base) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2023-12-18T19:30:59+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of rishiraj/CatPPT-base
Dataset automatically created during the evaluation run of model rishiraj/CatPPT-base 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 from 1 run(s). ... | [
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# Dataset Card for Evaluation run of EmbeddedLLM/Mistral-7B-Merge-14-v0.2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_EmbeddedLLM__Mistral-7B-Merge-14-v0.2 | [
"region:us"
] | 2023-12-18T19:30:18+00:00 | {"pretty_name": "Evaluation run of EmbeddedLLM/Mistral-7B-Merge-14-v0.2", "dataset_summary": "Dataset automatically created during the evaluation run of model [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-04T15:09:24+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of EmbeddedLLM/Mistral-7B-Merge-14-v0.2
Dataset automatically created during the evaluation run of model EmbeddedLLM/Mistral-7B-Merge-14-v0.2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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22948fb619b576b16a636b773626046e174e7c9d | # Dataset Card for "quirky_addition_increment3_bob_maxlen3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_bob_maxlen3 | [
"region:us"
] | 2023-12-18T19:43:33+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T19:43:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_bob_maxlen3"
More Information needed | [
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d8755549b25791ead20a6ebac38eb6ce0096fa1b | # Dataset Card for "quirky_addition_increment3_bob_minlen4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_addition_increment3_bob_minlen4 | [
"region:us"
] | 2023-12-18T19:46:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-18T19:46:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_addition_increment3_bob_minlen4"
More Information needed | [
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# Dataset Card for truthful_qa_rephrased
---
_**NOTE: This is a forked version of TruthfulQA where the questions and answers have been rephrased by a LLM.**_
---
## Table of Contents
- [Dataset Card for truthful_qa](#dataset-card-for-truthful_qa)
- [Table of Contents](#table-of-contents)
- [Dataset Description]... | dvruette/truthful_qa_rephrased | [
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"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monoling... | 2023-12-18T19:51:57+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["multiple-choice", "text-generation", "question-answering"], "tas... | 2023-12-18T20:43:50+00:00 | [
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#task_categories-multiple-choice #task_categories-text-generation #task_categories-question-answering #task_ids-multiple-choice-qa #task_ids-language-modeling #task_ids-open-domain-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #sour... | Dataset Card for truthful\_qa\_rephrased
========================================
---
*NOTE: This is a forked version of TruthfulQA where the questions and answers have been rephrased by a LLM.*
---
Table of Contents
-----------------
* Dataset Card for truthful\_qa
+ Table of Contents
+ Dataset Descrip... | [
"### Dataset Summary\n\n\nTruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. Questions are crafted so that some humans would answer falsely due to a ... | [
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a7eefe4044ba89b8e6e8d877b609560bbad4a0af |
# Dataset Card for Evaluation run of YeungNLP/LongQLoRA-Vicuna-13b-8k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [YeungNLP/LongQLoRA-Vicuna-13b-8k](https://huggingface.co/YeungNLP/LongQLoRA-Vicuna-13b-8k) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_YeungNLP__LongQLoRA-Vicuna-13b-8k | [
"region:us"
] | 2023-12-18T20:12:14+00:00 | {"pretty_name": "Evaluation run of YeungNLP/LongQLoRA-Vicuna-13b-8k", "dataset_summary": "Dataset automatically created during the evaluation run of model [YeungNLP/LongQLoRA-Vicuna-13b-8k](https://huggingface.co/YeungNLP/LongQLoRA-Vicuna-13b-8k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2023-12-18T20:13:04+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of YeungNLP/LongQLoRA-Vicuna-13b-8k
Dataset automatically created during the evaluation run of model YeungNLP/LongQLoRA-Vicuna-13b-8k 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... | [
"# Dataset Card for Evaluation run of YeungNLP/LongQLoRA-Vicuna-13b-8k\n\n\n\nDataset automatically created during the evaluation run of model YeungNLP/LongQLoRA-Vicuna-13b-8k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe data... | [
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"# Dataset Card for Evaluation run of YeungNLP/LongQLoRA-Vicuna-13b-8k\n\n\n\nDataset automatically created during the evaluation run of model YeungNLP/LongQLoRA-Vicuna-13b-8k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the ev... | [
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792b973d89904080d86053be4fd5d30c847a87bf | ## Description
This dataset contains elements from the [offendES](https://huggingface.co/datasets/fmplaza/offendes) dataset and translations from the [sexismreddit](https://huggingface.co/datasets/natural-lang-processing/sexismreddit ) dataset from english to spanish. The aim of this dataset is to provide training dat... | Brandon-h/offensive-and-grooming-dataset | [
"license:apache-2.0",
"region:us"
] | 2023-12-18T20:25:10+00:00 | {"license": "apache-2.0"} | 2023-12-19T21:56:57+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ## Description
This dataset contains elements from the offendES dataset and translations from the sexismreddit dataset from english to spanish. The aim of this dataset is to provide training data for models capable to identify harming text towards kids.
The id2label dictionary for this dataset is as follows:
Where... | [
"## Description\n\nThis dataset contains elements from the offendES dataset and translations from the sexismreddit dataset from english to spanish. The aim of this dataset is to provide training data for models capable to identify harming text towards kids.\n\nThe id2label dictionary for this dataset is as follows:... | [
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11e38a403746169d6faef3aae50ad826b54a7f5b | # Dataset Card for "ATC_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/ATC_train | [
"region:us"
] | 2023-12-18T20:39:00+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2954591414.38965, "num_examples": 22152}, {"name": "test", "num_bytes": 66689044.203450024, "num_exa... | 2023-12-23T13:38:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ATC_train"
More Information needed | [
"# Dataset Card for \"ATC_train\"\n\nMore Information needed"
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e3ff611c35504452f37e5369f101c8b412abc2b4 | # Dataset Card for "ATC_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/ATC_test | [
"region:us"
] | 2023-12-18T20:40:54+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 133378088.40690005, "num_examples": 1000}], "download_size": 0, "dataset_size": 133378088.40690005},... | 2023-12-23T13:38:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ATC_test"
More Information needed | [
"# Dataset Card for \"ATC_test\"\n\nMore Information needed"
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3732c0b977691d6c3a52c9e1f3d3027c36acb86b | # Dataset Card for "ATC_test_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/ATC_test_2 | [
"region:us"
] | 2023-12-18T20:41:01+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 113797125.0, "num_examples": 871}], "download_size": 0, "dataset_size": 113797125.0}, "configs": [{"c... | 2023-12-23T13:38:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ATC_test_2"
More Information needed | [
"# Dataset Card for \"ATC_test_2\"\n\nMore Information needed"
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b8e9b62a5e3b933abd41b16b65d7c8ff0ad14503 |
# Dataset Card for Evaluation run of Sao10K/SOLAR-10.7B-NahIdWin
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Sao10K/SOLAR-10.7B-NahIdWin](https://huggingface.co/Sao10K/SOLAR-10.7B-NahIdWin) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_Sao10K__SOLAR-10.7B-NahIdWin | [
"region:us"
] | 2023-12-18T21:22:52+00:00 | {"pretty_name": "Evaluation run of Sao10K/SOLAR-10.7B-NahIdWin", "dataset_summary": "Dataset automatically created during the evaluation run of model [Sao10K/SOLAR-10.7B-NahIdWin](https://huggingface.co/Sao10K/SOLAR-10.7B-NahIdWin) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2023-12-18T21:23:40+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Sao10K/SOLAR-10.7B-NahIdWin
Dataset automatically created during the evaluation run of model Sao10K/SOLAR-10.7B-NahIdWin 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... | [
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d1b851eae919a23bc570e2b0275367c56b765629 | # Dataset Card for "singlelines_raster"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | singlelinexyz/singlelines_raster | [
"region:us"
] | 2023-12-18T21:46:53+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 340025164.8, "num_examples": 1923}], "download_size": 275177264, "dataset_size": 340025164.8}} | 2023-12-19T19:00:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "singlelines_raster"
More Information needed | [
"# Dataset Card for \"singlelines_raster\"\n\nMore Information needed"
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3b36ff10f6c245dfe8d8a32677b612308b32e84e |
# Subjects-for-curricular
---
Subjects-for-curricular is a clustered set of book titles and concepts from https://huggingface.co/datasets/benxh/opensyllabus-tagged-libgen and https://huggingface.co/datasets/benxh/us-library-of-congress-subjects.
These two datasets are combined, taking the 'text' field from the US ... | laion/Subjects-for-curricular | [
"license:apache-2.0",
"region:us"
] | 2023-12-18T21:50:31+00:00 | {"license": "apache-2.0"} | 2023-12-20T10:01:21+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Subjects-for-curricular
---
Subjects-for-curricular is a clustered set of book titles and concepts from URL and URL
These two datasets are combined, taking the 'text' field from the US library of congress subjects (subjects_fixed.jsonl), and the 'name' field from the opensyllabus data. This text data is then con... | [
"# Subjects-for-curricular\n\n---\n\nSubjects-for-curricular is a clustered set of book titles and concepts from URL and URL\n\n\nThese two datasets are combined, taking the 'text' field from the US library of congress subjects (subjects_fixed.jsonl), and the 'name' field from the opensyllabus data. This text data ... | [
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c2a220366203aaee3cadba0ff49b8bec22bbe795 |
## ibl-math
This dataset holds a collection of sample math problems and solution for multiple different topics in math.
The dataset is intended to be used to test math applications on the correctness of their generated output.
For ease of use and ability to render and preserve mathematical symbols, the solutions and ... | iblai/ibl-math | [
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"mathematics",
"region:us"
] | 2023-12-18T22:00:48+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "pretty_name": "IBL Mathematics Dataset", "tags": ["mathematics"]} | 2023-12-18T22:07:55+00:00 | [] | [
"en"
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#size_categories-n<1K #language-English #license-apache-2.0 #mathematics #region-us
|
## ibl-math
This dataset holds a collection of sample math problems and solution for multiple different topics in math.
The dataset is intended to be used to test math applications on the correctness of their generated output.
For ease of use and ability to render and preserve mathematical symbols, the solutions and ... | [
"## ibl-math\nThis dataset holds a collection of sample math problems and solution for multiple different topics in math.\nThe dataset is intended to be used to test math applications on the correctness of their generated output.\n\nFor ease of use and ability to render and preserve mathematical symbols, the soluti... | [
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075cf9b99a828b90cee4288c7ed5807351703a18 | # Dataset Card
<!-- Provide a quick summary of the dataset. -->
this dataset is designed for training a model to recognize fonts in images. It comprises images generated from various fonts and placed on canvases with varying RGB color combinations, ensuring the model learns to identify fonts under diverse conditions.... | Mcholo/VFRDataset | [
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"art",
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] | 2023-12-18T22:03:30+00:00 | {"license": "cc-by-nc-nd-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["image-segmentation"], "pretty_name": "Visaul Font Recognition Dataset", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "annotation", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 101171544... | 2023-12-27T01:05:52+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #size_categories-10K<n<100K #license-cc-by-nc-nd-4.0 #art #design #font #fonts #region-us
| # Dataset Card
this dataset is designed for training a model to recognize fonts in images. It comprises images generated from various fonts and placed on canvases with varying RGB color combinations, ensuring the model learns to identify fonts under diverse conditions.
### Dataset Description
this dataset is design... | [
"# Dataset Card\n\n\n\nthis dataset is designed for training a model to recognize fonts in images. It comprises images generated from various fonts and placed on canvases with varying RGB color combinations, ensuring the model learns to identify fonts under diverse conditions.",
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d1f9991d7e961b46394f1deb82a6e984d5715d02 | # Dataset Card for "results"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mnoukhov/results | [
"region:us"
] | 2023-12-18T22:20:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 184810, "num_examples": 10... | 2023-12-18T22:20:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "results"
More Information needed | [
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4b3924ceff1af23b51abb403aece975e7537ef33 |
# Dataset Card for Evaluation run of ignos/Mistral-T5-7B-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ignos/Mistral-T5-7B-v1](https://huggingface.co/ignos/Mistral-T5-7B-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_ignos__Mistral-T5-7B-v1 | [
"region:us"
] | 2023-12-18T22:26:07+00:00 | {"pretty_name": "Evaluation run of ignos/Mistral-T5-7B-v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [ignos/Mistral-T5-7B-v1](https://huggingface.co/ignos/Mistral-T5-7B-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2023-12-18T22:26:50+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of ignos/Mistral-T5-7B-v1
Dataset automatically created during the evaluation run of model ignos/Mistral-T5-7B-v1 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 from 1 run(... | [
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cab832d3ababf5a22456b01348ecb61e1e2b0f7a | # Dataset Card for "openai_summarize_generated_20k_relabel_1b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mnoukhov/openai_summarize_generated_20k_relabel_1b | [
"region:us"
] | 2023-12-18T22:31:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35982323, "num_examples": ... | 2023-12-18T22:31:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_generated_20k_relabel_1b"
More Information needed | [
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9f1a101055495820e2ec7814d3fc57fea776e6d3 |
## maywell 님 께서 업로드 하신 maywell/ko_Ultrafeedback_binarized 부분을 테스트 하고자 업로드 하였습니다.
This is the only test dataset and will use for train our own model.
The provided data is a dataset that has been translated and refined using the Synatra-7B-Translation model from Ultrafeedback_binarized.
Direct commercial use of this ... | sosoai/dataset_ko_Ultrafeedback_binarized_test | [
"language:ko",
"region:us"
] | 2023-12-18T22:50:41+00:00 | {"language": ["ko"]} | 2024-01-17T21:06:23+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #region-us
|
## maywell 님 께서 업로드 하신 maywell/ko_Ultrafeedback_binarized 부분을 테스트 하고자 업로드 하였습니다.
This is the only test dataset and will use for train our own model.
The provided data is a dataset that has been translated and refined using the Synatra-7B-Translation model from Ultrafeedback_binarized.
Direct commercial use of this ... | [
"## maywell 님 께서 업로드 하신 maywell/ko_Ultrafeedback_binarized 부분을 테스트 하고자 업로드 하였습니다.\n\nThis is the only test dataset and will use for train our own model.\n\nThe provided data is a dataset that has been translated and refined using the Synatra-7B-Translation model from Ultrafeedback_binarized.\n\nDirect commercial us... | [
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bd0b0d10036dcb1b1763562db9fcfa22f0d6c867 | This dataset contains dialogues from Jordan Peterson through either quora answers or interview transcripts. The dataset was manually created to imitate conversation. | sushobhan55/Jordan-Peterson-Conversation-for-NLP | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
| This dataset contains dialogues from Jordan Peterson through either quora answers or interview transcripts. The dataset was manually created to imitate conversation. | [] | [
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cfb946c8b69dfcdf6ddc28f16cd16246ca637b4e | # Dataset Card for "landing_pages_04_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mriosqu/landing_pages_04_dataset | [
"region:us"
] | 2023-12-19T01:42:35+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 64643520.0, "num_examples": 85}], "download_size": 63342265, "dataset_size": 64643520.0}} | 2023-12-19T01:43:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "landing_pages_04_dataset"
More Information needed | [
"# Dataset Card for \"landing_pages_04_dataset\"\n\nMore Information needed"
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451effc1cc4b1d51f4c622f3b972c6aadef4c618 | # Dataset Card for "quirky_cities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_cities | [
"region:us"
] | 2023-12-19T01:43:47+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2023-12-19T01:59:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_cities"
More Information needed | [
"# Dataset Card for \"quirky_cities\"\n\nMore Information needed"
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0f6902cb47913eac7c7f7116011d76a4391b93e4 |
## Description
Please enter a description here (will be show to humans and AI)
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
- Music
- Gaming
- Litarally anything
## Voice
Julian
## Music
tutorial pop bg music happy up-beat
## Prompt
You are a tutorial maker and general video maker | Ryder7223/ai-tube-Ryder7223 | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-19T01:49:50+00:00 | {"license": "cc-by-nc-sa-4.0", "pretty_name": "Ryder7223"} | 2023-12-19T01:55:59+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
## Description
Please enter a description here (will be show to humans and AI)
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
- Music
- Gaming
- Litarally anything
## Voice
Julian
## Music
tutorial pop bg music happy up-beat
## Prompt
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ddcd38faa6c771876559acc66a527f4d402dba5a | # Dataset Card for "Cancer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ManuelAlv/Cancer | [
"region:us"
] | 2023-12-19T02:13:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"na... | 2023-12-19T02:14:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Cancer"
More Information needed | [
"# Dataset Card for \"Cancer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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9dbac07fbb9e334952f813bca6bcb074a88db809 | # Dataset Card for "vox_lingua_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vox_lingua_synth | [
"region:us"
] | 2023-12-19T02:18:17+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2023-12-19T02:28:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vox_lingua_synth"
More Information needed | [
"# Dataset Card for \"vox_lingua_synth\"\n\nMore Information needed"
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0ee680dbcb1b0d4c3ba3b3460c7d31c5a372b868 |
# ChatGPT 4 Noisy Translation Twitter to local dialect
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/translation/chatgpt4-twitter-dialect | mesolitica/chatgpt4-noisy-translation-twitter-dialect | [
"task_categories:translation",
"language:ms",
"region:us"
] | 2023-12-19T02:22:31+00:00 | {"language": ["ms"], "task_categories": ["translation"]} | 2023-12-19T06:17:11+00:00 | [] | [
"ms"
] | TAGS
#task_categories-translation #language-Malay (macrolanguage) #region-us
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# ChatGPT 4 Noisy Translation Twitter to local dialect
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1b35e278b1b058d155001b14e3a83982785bb3dd | <img src="proofpile_logo.jpg" width="500">
[ArXiv](http://arxiv.org/abs/2310.10631) | [Models](https://huggingface.co/EleutherAI/llemma_34b) | [Data](https://huggingface.co/datasets/EleutherAI/proof-pile-2) | [Code](https://github.com/EleutherAI/math-lm) | [Blog](https://blog.eleuther.ai/llemma/) | [Sample Explorer](h... | xavierdurawa/proof-pile-2-streaming | [
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#task_categories-text-generation #size_categories-10B<n<100B #language-English #math #arxiv-2310.10631 #arxiv-2310.06786 #region-us
| 
ArXiv | Models | Data | Code | Blog | Sample Explorer
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck
The Proof-Pile-2 is a 55 billion token dataset of mathematical and scientific documents. This... | [
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e963165261276b47902235a21ae45e8e15db6e70 | # Dataset Card for "mridangam_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/mridangam_synth | [
"region:us"
] | 2023-12-19T03:16:54+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2024-01-28T03:03:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mridangam_synth"
More Information needed | [
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4e452b937f4ae4fd24ccff8fc6835bc605c079e9 | # Dataset Card for "PubMed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ManuelAlv/PubMed | [
"region:us"
] | 2023-12-19T03:41:41+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"na... | 2023-12-19T03:42:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PubMed"
More Information needed | [
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8905d483bd5ed0e7fd54726065bed3fad7e61a53 |
<center>
<img src="https://github.com/LFL-Lab/SQuADDS/blob/master/docs/_static/images/squadds_logo_dark_name.png?raw=true" width="80%" alt="SQuADDS Logo" /> <!-- This will stretch the logo to the full container width -->
</center>
# SQuADDS_DB - a Superconducting Qubit And Device Design and Simulation Database
The... | SQuADDS/SQuADDS_DB | [
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|
<center>
<img src="URL width="80%" alt="SQuADDS Logo" />
</center>
# SQuADDS_DB - a Superconducting Qubit And Device Design and Simulation Database
The SQuADDS (Superconducting Qubit And Device Design and Simulation) Database Project is an open-source resource aimed at advancing research in superconducting quantu... | [
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050e53d028cb35f10c58ce9dfb11ce4d3c18d064 |
# Dataset Card for Evaluation run of LLM360/Amber
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [LLM360/Amber](https://huggingface.co/LLM360/Amber) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The... | open-llm-leaderboard/details_LLM360__Amber | [
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#region-us
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# Dataset Card for Evaluation run of LLM360/Amber
Dataset automatically created during the evaluation run of model LLM360/Amber on the Open LLM Leaderboard.
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The dataset has been created from 1 run(s). Each run can be ... | [
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e36d01280409c17cb018efae8b554cf21449c202 | # Dataset Card for "maestro_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/maestro_extract_unit | [
"region:us"
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#region-us
| # Dataset Card for "maestro_extract_unit"
More Information needed | [
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07f070cced0b9b75bd981570146fa9082a45b070 | # Dataset Card for "gtzan_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gtzan_extract_unit | [
"region:us"
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#region-us
| # Dataset Card for "gtzan_extract_unit"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"gtzan_extract_unit\"\n\nMore Information needed"
] |
16939e71fbe5f60ec297d56fc7bd7a2e1fe19602 | # Dataset Card
**Developed by:**
**Shared by [optional]:** [More Information Needed]
**Dataset type:** [More Information Needed]
**Language(s) (NLP):** [More Information Needed]
**License:** [More Information Needed]
**Derived from dataset [optional]:** [More Information Needed]
**Dataset Sources [optional]**
... | Taylor658/fluid_dynamics_test | [
"license:mit",
"region:us"
] | 2023-12-19T06:01:50+00:00 | {"license": "mit"} | 2024-02-01T02:02:00+00:00 | [] | [] | TAGS
#license-mit #region-us
| # Dataset Card
Developed by:
Shared by [optional]:
Dataset type:
Language(s) (NLP):
License:
Derived from dataset [optional]:
Dataset Sources [optional]
Repository:
Paper [optional]:
Uses
Direct Use
Downstream Use [optional]
Out-of-Scope Use
Bias, Risks, and Limitations
Recomm... | [
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827da4ee36bf6cbaeb13c985af78942209633d7a | # MovielensLatest_x1
The MovieLens dataset consists of users' tagging records on movies. The task is formulated as personalized tag recommendation with each tagging record (user_id, item_id, tag_id) as an data instance. The target value denotes whether the user has assigned a particular tag to the movie. We provide th... | reczoo/MovielensLatest_x1 | [
"arxiv:2304.00902",
"region:us"
] | 2023-12-19T06:19:03+00:00 | {} | 2023-12-19T06:22:16+00:00 | [
"2304.00902"
] | [] | TAGS
#arxiv-2304.00902 #region-us
| # MovielensLatest_x1
The MovieLens dataset consists of users' tagging records on movies. The task is formulated as personalized tag recommendation with each tagging record (user_id, item_id, tag_id) as an data instance. The target value denotes whether the user has assigned a particular tag to the movie. We provide th... | [
"# MovielensLatest_x1\n\nThe MovieLens dataset consists of users' tagging records on movies. The task is formulated as personalized tag recommendation with each tagging record (user_id, item_id, tag_id) as an data instance. The target value denotes whether the user has assigned a particular tag to the movie. We pro... | [
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2146749c4044fe61d4f46dcc1e3948f2f0da1b62 | # Avazu_x1
+ **Dataset description:**
This dataset contains about 10 days of labeled click-through data on mobile advertisements. It has 22 feature fields including user features and advertisement attributes. The preprocessed data are randomly split into 7:1:2\* as the training set, validation set, and test set, re... | reczoo/Avazu_x1 | [
"arxiv:2304.00902",
"region:us"
] | 2023-12-19T06:25:02+00:00 | {} | 2023-12-23T05:53:44+00:00 | [
"2304.00902"
] | [] | TAGS
#arxiv-2304.00902 #region-us
| Avazu\_x1
=========
* Dataset description:
This dataset contains about 10 days of labeled click-through data on mobile advertisements. It has 22 feature fields including user features and advertisement attributes. The preprocessed data are randomly split into 7:1:2\* as the training set, validation set, and test se... | [] | [
"TAGS\n#arxiv-2304.00902 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-2304.00902 #region-us \n"
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5d493fefd81a98ebfe8882a41c2080b20300d4fc | **You can find the scripts [here](https://github.com/ceferisbarov/azwiki)**
AzWiki is a snapshot of Azerbaijani Wikipedia processed specifically for the text generation task. More details regarding the cleaning and processing steps will be released.
Please go to the GitHub repository for all discussions and PRs. | jafarisbarov/azwiki | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:az",
"license:cc-by-sa-3.0",
"region:us"
] | 2023-12-19T06:26:21+00:00 | {"language": ["az"], "license": "cc-by-sa-3.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "Azerbaijani Wikipedia", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}], "splits": [{"name... | 2024-01-19T11:00:51+00:00 | [] | [
"az"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-Azerbaijani #license-cc-by-sa-3.0 #region-us
| You can find the scripts here
AzWiki is a snapshot of Azerbaijani Wikipedia processed specifically for the text generation task. More details regarding the cleaning and processing steps will be released.
Please go to the GitHub repository for all discussions and PRs. | [] | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Azerbaijani #license-cc-by-sa-3.0 #region-us \n"
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c2df8afd2463a2cb26f325dd3246588e3bb6eb18 |
Testing airflow | laubonghaudoi/airflow | [
"language:yue",
"license:cc-by-4.0",
"Cantonese",
"region:us"
] | 2023-12-19T06:29:16+00:00 | {"language": ["yue"], "license": "cc-by-4.0", "tags": ["Cantonese"], "dataset_info": {"features": [{"name": "pokemon", "dtype": "string"}, {"name": "type", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43, "num_examples": 2}], "download_size": 1215, "dataset_size": 43}, "configs": [{"config_name": "def... | 2023-12-22T06:27:52+00:00 | [] | [
"yue"
] | TAGS
#language-Yue Chinese #license-cc-by-4.0 #Cantonese #region-us
|
Testing airflow | [] | [
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25
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"passage: TAGS\n#language-Yue Chinese #license-cc-by-4.0 #Cantonese #region-us \n"
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890f0e6f27124eae8e420738533c071e86fc7fea | # Avazu_x2
+ **Dataset description:**
This dataset contains about 10 days of labeled click-through data on mobile advertisements. It has 22 feature fields including user features and advertisement attributes. Following the same setting in the [AutoGroup](https://dl.acm.org/doi/abs/10.1145/3397271.3401082) work, we ... | reczoo/Avazu_x2 | [
"region:us"
] | 2023-12-19T06:36:03+00:00 | {} | 2023-12-23T06:08:30+00:00 | [] | [] | TAGS
#region-us
| Avazu\_x2
=========
* Dataset description:
This dataset contains about 10 days of labeled click-through data on mobile advertisements. It has 22 feature fields including user features and advertisement attributes. Following the same setting in the AutoGroup work, we randomly split 80% of the data for training and v... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a436154d73738b1ea35acf3d1cc56f72997266d9 | # Avazu_x4
+ **Dataset description:**
This dataset contains about 10 days of labeled click-through data on mobile advertisements. It has 22 feature fields including user features and advertisement attributes. Following the same setting with the [AutoInt](https://arxiv.org/abs/1810.11921) work, we split the data ran... | reczoo/Avazu_x4 | [
"arxiv:1810.11921",
"arxiv:1904.04447",
"arxiv:2009.05794",
"region:us"
] | 2023-12-19T06:38:13+00:00 | {} | 2023-12-24T12:41:15+00:00 | [
"1810.11921",
"1904.04447",
"2009.05794"
] | [] | TAGS
#arxiv-1810.11921 #arxiv-1904.04447 #arxiv-2009.05794 #region-us
| Avazu\_x4
=========
* Dataset description:
This dataset contains about 10 days of labeled click-through data on mobile advertisements. It has 22 feature fields including user features and advertisement attributes. Following the same setting with the AutoInt work, we split the data randomly into 8:1:1 as the trainin... | [] | [
"TAGS\n#arxiv-1810.11921 #arxiv-1904.04447 #arxiv-2009.05794 #region-us \n"
] | [
31
] | [
"passage: TAGS\n#arxiv-1810.11921 #arxiv-1904.04447 #arxiv-2009.05794 #region-us \n"
] |
eca667b7f11598f03765c79586b5ff781afcd3b0 | # Criteo_x2
+ **Dataset description:**
This dataset employs the [Criteo 1TB Click Logs](https://ailab.criteo.com/criteo-1tb-click-logs-dataset/) for display advertising, which contains one month of click-through data with billions of data samples. Following the same setting with the [AutoGroup](https://dl.acm.org/d... | reczoo/Criteo_x2 | [
"region:us"
] | 2023-12-19T06:44:17+00:00 | {} | 2023-12-23T06:23:37+00:00 | [] | [] | TAGS
#region-us
| Criteo\_x2
==========
* Dataset description:
This dataset employs the Criteo 1TB Click Logs for display advertising, which contains one month of click-through data with billions of data samples. Following the same setting with the AutoGroup work, we select "data 6-12" as the training set while using "day-13" for te... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
1adebb9c1d5becf659fe737b4e27217f09b6929a | # Dataset Card for "train_v7"
우리 4차 데이터 + vicuna | moseoridev/train_v7 | [
"region:us"
] | 2023-12-19T08:25:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 245116662, "num_examples... | 2023-12-19T08:26:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "train_v7"
우리 4차 데이터 + vicuna | [
"# Dataset Card for \"train_v7\"\n\n우리 4차 데이터 + vicuna"
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"passage: TAGS\n#region-us \n# Dataset Card for \"train_v7\"\n\n우리 4차 데이터 + vicuna"
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e347cc5211878be1ac1ea454e3d212292acb16bb | # Dataset Card for "nllb_en_fr_20K"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ArmelRandy/nllb_en_fr_20K | [
"region:us"
] | 2023-12-19T08:29:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "en", "dtype": "string"}, {"name": "fr", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3054474, "num_examples": 20000}], "download_size": 2059117, "dataset_size":... | 2023-12-19T08:29:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nllb_en_fr_20K"
More Information needed | [
"# Dataset Card for \"nllb_en_fr_20K\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nllb_en_fr_20K\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"nllb_en_fr_20K\"\n\nMore Information needed"
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fdd92623416ac1abeb699c9b21205527b1b11dc9 | # Dataset Card for "maestro_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/maestro_synth | [
"region:us"
] | 2023-12-19T09:12:09+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2023-12-19T09:33:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "maestro_synth"
More Information needed | [
"# Dataset Card for \"maestro_synth\"\n\nMore Information needed"
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"# Dataset Card for \"maestro_synth\"\n\nMore Information needed"
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8c24bc529d1391e230bdb5614e1a94db19c74f33 | # recruit-jp/japanese-image-classification-evaluation-dataset
## Overview
* **Developed by**: [Recruit Co., Ltd.](https://huggingface.co/recruit-jp)
* **Dataset type**: Image Classification
* **Language(s)**: Japanese
* **LICENSE**: CC-BY-4.0
More details are described in our tech blog post.
* [日本語CLIP学習済みモデルとその評価用... | recruit-jp/japanese-image-classification-evaluation-dataset | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:ja",
"license:cc-by-4.0",
"region:us"
] | 2023-12-19T09:17:24+00:00 | {"language": ["ja"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["image-classification"]} | 2024-01-22T10:48:13+00:00 | [] | [
"ja"
] | TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-Japanese #license-cc-by-4.0 #region-us
| recruit-jp/japanese-image-classification-evaluation-dataset
===========================================================
Overview
--------
* Developed by: Recruit Co., Ltd.
* Dataset type: Image Classification
* Language(s): Japanese
* LICENSE: CC-BY-4.0
More details are described in our tech blog post.
* 日本語CLI... | [] | [
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c5ee2eabebbc4bcf7490d0b68325176a062413fb |
This dataset consists of Chinese (Simplified) to Cantonese translation pairs generated using large language models (LLMs) and translated by Google Palm2. The dataset aims to provide a collection of translated sentences for training and evaluating Chinese (Simplified) to Cantonese translation models.
The dataset creat... | hon9kon9ize/38k-zh-yue-translation-llm-generated | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-19T09:36:11+00:00 | {"license": "cc-by-nc-sa-4.0", "dataset_info": {"features": [{"name": "zh", "dtype": "string"}, {"name": "yue", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6642874, "num_examples": 38142}, {"name": "test", "num_bytes": 2210155, "num_examples": 12170}], "download_size": 5922293, "dataset_size": 885302... | 2023-12-19T10:09:29+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
This dataset consists of Chinese (Simplified) to Cantonese translation pairs generated using large language models (LLMs) and translated by Google Palm2. The dataset aims to provide a collection of translated sentences for training and evaluating Chinese (Simplified) to Cantonese translation models.
The dataset creat... | [
"## Limitations and Usage\n\nIt is important to note the following limitations and considerations regarding this dataset:\n\nLimited Contextual Understanding: As the dataset is generated using language models, such as ChatGPT, it may have limited contextual understanding. The generated sentences may not always capt... | [
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2f1a66f07f0760a912858438101107ffd223d979 |
A machine translated version of the Vezora/Tested-22k-Python-Alpaca dataset.
Consists of code "Filtered Using Vezora's CodeTester" with code-related data and natural language instructions.
Released under the same license as the original dataset, provided as is with research intent, use/read at your own risk. | MexIvanov/Vezora-Tested-22k-Python-Alpaca-ru | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:ru",
"license:apache-2.0",
"python",
"code",
"region:us"
] | 2023-12-19T09:51:32+00:00 | {"language": ["ru"], "license": "apache-2.0", "task_categories": ["question-answering", "text-generation"], "tags": ["python", "code"]} | 2023-12-19T10:08:12+00:00 | [] | [
"ru"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #language-Russian #license-apache-2.0 #python #code #region-us
|
A machine translated version of the Vezora/Tested-22k-Python-Alpaca dataset.
Consists of code "Filtered Using Vezora's CodeTester" with code-related data and natural language instructions.
Released under the same license as the original dataset, provided as is with research intent, use/read at your own risk. | [] | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #language-Russian #license-apache-2.0 #python #code #region-us \n"
] | [
47
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-text-generation #language-Russian #license-apache-2.0 #python #code #region-us \n"
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a67c1d8fae3db47f27f749d59135a0344538849c | # Dataset Card for "gtzan_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gtzan_synth | [
"region:us"
] | 2023-12-19T10:06:52+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2024-01-28T03:47:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gtzan_synth"
More Information needed | [
"# Dataset Card for \"gtzan_synth\"\n\nMore Information needed"
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6f6e46d72cc42da3da7e64ad7680f13aded7b03a | 
This is a Slim version of [COIG-Kun](https://huggingface.co/datasets/m-a-p/COIG-Kun)
因为原始的数据集有53万条之多，所以进行了subsample。
采样方法大致为，使用[bert-base-chinese](https://huggingface.co/bert-base-chinese)将Instructi... | lorinma/Slim-COIG-Kun | [
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:zh",
"arxiv:1708.00489",
"region:us"
] | 2023-12-19T10:41:58+00:00 | {"language": ["zh"], "size_categories": ["1K<n<10K"], "task_categories": ["text-generation", "conversational"]} | 2023-12-20T01:28:55+00:00 | [
"1708.00489"
] | [
"zh"
] | TAGS
#task_categories-text-generation #task_categories-conversational #size_categories-1K<n<10K #language-Chinese #arxiv-1708.00489 #region-us
| !image/png
This is a Slim version of COIG-Kun
因为原始的数据集有53万条之多，所以进行了subsample。
采样方法大致为，使用bert-base-chinese将Instruction转换为embedding，使用类knn的方法抽取了1万条。并转换成了sharegpt格式。
为了更直观的查看效果，文件中还有一个仅采样了1千条的版本。采样前后的Embedding使用tsne进行可视化。
!image/png
original Kun(蓝色)和Moss003（红色）的区别，是否可解读为虽然Kun的数量很高，但是首个instruction的语义多样化不如Moss。
!ima... | [] | [
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656cf98d0004c47fd34e803675bd46f044cd6747 | A machine translated version of the codefuse-ai/CodeExercise-Python-27k dataset.
Consists of synthetically generated code with code-related data and natural language instructions.
Released under the same license as the original dataset, provided as is with research intent, use/read at your own risk. | MexIvanov/CodeExercise-Python-27k-ru | [
"language:ru",
"license:cc-by-nc-sa-4.0",
"Python",
"code",
"region:us"
] | 2023-12-19T10:42:50+00:00 | {"language": ["ru"], "license": "cc-by-nc-sa-4.0", "tags": ["Python", "code"]} | 2023-12-19T10:55:03+00:00 | [] | [
"ru"
] | TAGS
#language-Russian #license-cc-by-nc-sa-4.0 #Python #code #region-us
| A machine translated version of the codefuse-ai/CodeExercise-Python-27k dataset.
Consists of synthetically generated code with code-related data and natural language instructions.
Released under the same license as the original dataset, provided as is with research intent, use/read at your own risk. | [] | [
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7ac80c1c258cb05109a9a96b12303a356b2bbd4f | Предоставлено как есть с целью исследования. Использовать на свой страх и риск.
Данный набор данных содержит вопросы с тегом 'python' из русскоязычного сайта Stack Overflow вместе с соответствующими ответами, помеченными как лучшие.
Набор данных был собран и обработан для использования в моделях обработки естественно... | zelkame/ru-stackoverflow-py | [
"license:mit",
"region:us"
] | 2023-12-19T10:47:03+00:00 | {"license": "mit"} | 2023-12-19T11:12:31+00:00 | [] | [] | TAGS
#license-mit #region-us
| Предоставлено как есть с целью исследования. Использовать на свой страх и риск.
Данный набор данных содержит вопросы с тегом 'python' из русскоязычного сайта Stack Overflow вместе с соответствующими ответами, помеченными как лучшие.
Набор данных был собран и обработан для использования в моделях обработки естественно... | [] | [
"TAGS\n#license-mit #region-us \n"
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11
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82568a3f0c41a0708371694b3efcf96ea6045089 |
# BEIR embeddings with Cohere embed-english-v3.0 model
This datasets contains all query & document embeddings for [BEIR](https://github.com/beir-cellar/beir), embedded with the [Cohere embed-english-v3.0](https://huggingface.co/Cohere/Cohere-embed-english-v3.0) embedding model.
## Overview of datasets
This... | Cohere/beir-embed-english-v3 | [
"region:us"
] | 2023-12-19T11:01:01+00:00 | {"configs": [{"config_name": "arguana-corpus", "data_files": [{"split": "train", "path": "arguana/corpus/*"}]}, {"config_name": "arguana-queries", "data_files": [{"split": "test", "path": "arguana/queries/test.parquet"}]}, {"config_name": "arguana-qrels", "data_files": [{"split": "test", "path": "arguana/qrels/test.par... | 2024-01-03T09:25:07+00:00 | [] | [] | TAGS
#region-us
| BEIR embeddings with Cohere embed-english-v3.0 model
====================================================
This datasets contains all query & document embeddings for BEIR, embedded with the Cohere embed-english-v3.0 embedding model.
Overview of datasets
--------------------
This repository hosts all 18 datasets fr... | [
"### Loading the document embeddings\n\n\nThe 'corpus' split contains all document embeddings of the corpus.\n\n\nYou can either load the dataset like this:\n\n\nOr you can also stream it without downloading it before:\n\n\nNote, depending on the dataset size, the corpus split can be quite large.",
"### Loading t... | [
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566a462cd972da088d7fefa3f73bc29bd0f97f27 | # Dataset Card for "Soldering-Data-pix2pix-1219"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ouvic215/Soldering-Data-pix2pix-1219 | [
"region:us"
] | 2023-12-19T11:32:47+00:00 | {"dataset_info": {"features": [{"name": "mask_image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 147332332.0, "num_examples": 1588}], "download_size": 146499523, "dataset_size": 147332332.0}} | 2024-02-12T12:15:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Soldering-Data-pix2pix-1219"
More Information needed | [
"# Dataset Card for \"Soldering-Data-pix2pix-1219\"\n\nMore Information needed"
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ba6da36a8f6710a827fa26f7c78cc8d29a5af71b |
Combined
- [UnitEval](https://github.com/unit-mesh/unit-eval) with Related Code
- the Java part of [OSS Instruct](https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K)
| unit-mesh/unit-eval-completion | [
"region:us"
] | 2023-12-19T12:03:50+00:00 | {} | 2023-12-20T05:35:51+00:00 | [] | [] | TAGS
#region-us
|
Combined
- UnitEval with Related Code
- the Java part of OSS Instruct
| [] | [
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6
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dc9e8b0f7aa1d3a9a44a14e8f4c868e2bb4f19b5 |
# Dataset Card for Universal NER v1 in the Aya format
This dataset is a format conversion from its original v1 format into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
It contains data in multiple languages and this version is intended for multi-lingual LLM co... | universalner/uner_llm_instructions | [
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"license:cc-by-sa-4.0",
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|
# Dataset Card for Universal NER v1 in the Aya format
This dataset is a format conversion from its original v1 format into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
It contains data in multiple languages and this version is intended for multi-lingual LLM co... | [
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6ff59ecb32b9252d767c852042e92c7a21bbf315 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... | desarrolloasesoreslocales/IABuilder | [
"region:us"
] | 2023-12-19T12:26:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data.csv"}]}]} | 2024-02-05T16:04:08+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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cee72bd479969b89876e99d09dbb9bbdeba4ef92 |
这个数据集是把《全唐诗》、《全宋诗》中所有的五绝、五律、七绝、七律都提取出来，做成四个文件。每行对应一首诗。
五绝（5x4）: 17521 首
五律（5x8）: 60896 首
七绝（7x4）: 84485 首
七律（7x8）: 71818 首
This dataset extracts four styles of poetries in "Complete Poems of the Tang Dynasty" and "Complete Poems of the Song Dynasty."
Each line corresponds to a Chinese poem.
The syle o... | Lifan-Z/Chinese-poetries-txt | [
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"art",
"region:us"
] | 2023-12-19T12:33:35+00:00 | {"language": ["zh"], "license": "apache-2.0", "task_categories": ["text-generation"], "tags": ["art"]} | 2023-12-19T13:04:23+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #language-Chinese #license-apache-2.0 #art #region-us
|
这个数据集是把《全唐诗》、《全宋诗》中所有的五绝、五律、七绝、七律都提取出来，做成四个文件。每行对应一首诗。
五绝（5x4）: 17521 首
五律（5x8）: 60896 首
七绝（7x4）: 84485 首
七律（7x8）: 71818 首
This dataset extracts four styles of poetries in "Complete Poems of the Tang Dynasty" and "Complete Poems of the Song Dynasty."
Each line corresponds to a Chinese poem.
The syle o... | [] | [
"TAGS\n#task_categories-text-generation #language-Chinese #license-apache-2.0 #art #region-us \n"
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32
] | [
"passage: TAGS\n#task_categories-text-generation #language-Chinese #license-apache-2.0 #art #region-us \n"
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6c9c0442c42308cfe42625f2b0f1e76880dab18a |
# Portuguese-Corpus Instruct (tokenized large)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | nicholasKluge/Pt-Corpus-Instruct-tokenized-large | [
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"language:pt",
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"region:us"
] | 2023-12-19T12:37:48+00:00 | {"language": ["pt"], "license": "other", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "pretty_name": "Pt-Corpus Instruct tokenized large", "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": ... | 2024-02-15T18:09:31+00:00 | [
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# Portuguese-Corpus Instruct (tokenized large)
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Additional Information
- Dataset Curators
- Citation Information
- Contributions
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e9fe0806979de838f017ec1bc79a9ef20fcb7a95 | # Dataset Card for "dcase2016_task2_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/dcase2016_task2_synth | [
"region:us"
] | 2023-12-19T13:21:00+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2023-12-19T13:28:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dcase2016_task2_synth"
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6f8cb2932b4812e1335cb6c43e4bfd94af7b60d7 | axolotl was giving me issues with dolphin. please give all credit and support to https://huggingface.co/ehartford! | dataautogpt3/flan1m-alpaca-uncensored | [
"license:mit",
"region:us"
] | 2023-12-19T13:51:03+00:00 | {"license": "mit"} | 2023-12-19T13:54:31+00:00 | [] | [] | TAGS
#license-mit #region-us
| axolotl was giving me issues with dolphin. please give all credit and support to URL | [] | [
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ca30e44e024176b504e1bc104035d5e1df81e4c7 |
code
```python
# used when training samples do not include a system prompt.
DEFAULT_SYSTEM_PROMPT = "Below is an instruction that describes a task. Write a response that appropriately completes the request."
# if any of these words are in the system or prompt, the item will be skipped.
BAD_WORDS = [
"english", "t... | perlthoughts/big-brain-4k | [
"license:apache-2.0",
"region:us"
] | 2023-12-19T13:51:56+00:00 | {"license": "apache-2.0"} | 2023-12-20T02:59:17+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
code
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6f116c95fab345d0699d7aaf129341a24fe0050d |
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicXParaphrase](https://huggingface.co/datasets/ai4bharat/IndicXParaphrase) dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset t... | el2e10/aya-paraphrase-bengali | [
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"language:bn",
"license:cc",
"region:us"
] | 2023-12-19T14:21:56+00:00 | {"language": ["bn"], "license": "cc", "size_categories": ["n<1K"], "source_datasets": ["extended|ai4bharat/IndicXParaphrase"], "task_categories": ["text-generation"], "pretty_name": "Aya Paraphrase Bengali", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_in... | 2024-01-26T14:12:33+00:00 | [] | [
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|
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicXParaphrase dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset to create this one. This was created as part of Aya Open Scienc... | [
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dd2c315df6c740efbf9d33b06bc2dfa205a2b906 |
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicXParaphrase](https://huggingface.co/datasets/ai4bharat/IndicXParaphrase) dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset t... | el2e10/aya-paraphrase-gujarati | [
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"language:gu",
"license:cc",
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] | 2023-12-19T14:25:55+00:00 | {"language": ["gu"], "license": "cc", "size_categories": ["n<1K"], "source_datasets": ["extended|ai4bharat/IndicXParaphrase"], "task_categories": ["text-generation"], "pretty_name": "Aya Paraphrase Gujarati", "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"... | 2024-01-26T14:14:05+00:00 | [] | [
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|
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicXParaphrase dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset to create this one. This was created as part of Aya Open Scienc... | [
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3afb3c767d975eb1077f1860a825c7fc26ed69ac |
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicXParaphrase](https://huggingface.co/datasets/ai4bharat/IndicXParaphrase) dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset t... | el2e10/aya-paraphrase-hindi | [
"task_categories:text-generation",
"size_categories:n<1K",
"source_datasets:extended|ai4bharat/IndicXParaphrase",
"language:hi",
"license:cc",
"region:us"
] | 2023-12-19T14:28:05+00:00 | {"language": ["hi"], "license": "cc", "size_categories": ["n<1K"], "source_datasets": ["extended|ai4bharat/IndicXParaphrase"], "task_categories": ["text-generation"], "pretty_name": "Aya Paraphrase Hindi", "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"nam... | 2024-01-26T14:12:54+00:00 | [] | [
"hi"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #source_datasets-extended|ai4bharat/IndicXParaphrase #language-Hindi #license-cc #region-us
|
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicXParaphrase dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset to create this one. This was created as part of Aya Open Scienc... | [
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231c17499f37f10333a2626d340df0844980dc42 |
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicXParaphrase](https://huggingface.co/datasets/ai4bharat/IndicXParaphrase) dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset t... | el2e10/aya-paraphrase-marathi | [
"task_categories:text-generation",
"size_categories:n<1K",
"source_datasets:extended|ai4bharat/IndicXParaphrase",
"language:mr",
"license:cc",
"region:us"
] | 2023-12-19T14:29:56+00:00 | {"language": ["mr"], "license": "cc", "size_categories": ["n<1K"], "source_datasets": ["extended|ai4bharat/IndicXParaphrase"], "task_categories": ["text-generation"], "pretty_name": "Aya Paraphrase Marathi", "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"n... | 2024-01-26T14:13:43+00:00 | [] | [
"mr"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #source_datasets-extended|ai4bharat/IndicXParaphrase #language-Marathi #license-cc #region-us
|
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicXParaphrase dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset to create this one. This was created as part of Aya Open Scienc... | [
"### Description\n\nThis dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicXParaphrase dataset of AI4Bharat to create this instruction style dataset. \nWe have used the malayalam split of the above mentioned dataset to create this one. This was created as part of Aya Open... | [
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fa9dbf6f7b4070b285cbd56b0435a71e093a0205 |
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicXParaphrase](https://huggingface.co/datasets/ai4bharat/IndicXParaphrase) dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset t... | el2e10/aya-parapharse-punjabi | [
"task_categories:text-generation",
"size_categories:n<1K",
"source_datasets:extended|ai4bharat/IndicXParaphrase",
"language:pa",
"license:cc",
"region:us"
] | 2023-12-19T14:31:26+00:00 | {"language": ["pa"], "license": "cc", "size_categories": ["n<1K"], "source_datasets": ["extended|ai4bharat/IndicXParaphrase"], "task_categories": ["text-generation"], "pretty_name": "Aya Paraphrase Punjabi", "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"n... | 2024-01-26T14:13:19+00:00 | [] | [
"pa"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #source_datasets-extended|ai4bharat/IndicXParaphrase #language-Panjabi #license-cc #region-us
|
### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicXParaphrase dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset to create this one. This was created as part of Aya Open Scienc... | [
"### Description\n\nThis dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicXParaphrase dataset of AI4Bharat to create this instruction style dataset. \nWe have used the malayalam split of the above mentioned dataset to create this one. This was created as part of Aya Open... | [
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e44e2ddcc1943ff99e7ede5f4f8e0effd265096c | # OpenAlex Multilingual Embeddings
This dataset contains multilingual text embeddings of all records in [OpenAlex](https://openalex.org/) with a title or an abstract from the snapshot of 2023-10-20.
The dataset was created for the [FORAS project](https://asreview.nl/project/foras/) to investigate the efficacy of
diffe... | GlobalCampus/openalex-multilingual-embeddings | [
"license:cc0-1.0",
"openalex",
"embeddings",
"doi:10.57967/hf/1688",
"region:us"
] | 2023-12-19T14:52:22+00:00 | {"license": "cc0-1.0", "pretty_name": "OpenAlex Mutilingual Embeddings", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "embedding", "sequence": "float64"}], "splits": [{"name": "train", "num_bytes": 751739666430, "num_examples": 243212198}], "download_size": 640572858900, "dataset_size": 751... | 2024-01-26T08:34:09+00:00 | [] | [] | TAGS
#license-cc0-1.0 #openalex #embeddings #doi-10.57967/hf/1688 #region-us
| # OpenAlex Multilingual Embeddings
This dataset contains multilingual text embeddings of all records in OpenAlex with a title or an abstract from the snapshot of 2023-10-20.
The dataset was created for the FORAS project to investigate the efficacy of
different methods of searching in databases of academic publications... | [
"# OpenAlex Multilingual Embeddings\nThis dataset contains multilingual text embeddings of all records in OpenAlex with a title or an abstract from the snapshot of 2023-10-20.\nThe dataset was created for the FORAS project to investigate the efficacy of \ndifferent methods of searching in databases of academic publ... | [
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fbd9d1cbc420f30a06b1ed6f0f4176dbc0446c5f | # Dataset Card for "gaze-following-short"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tiennv/gaze-following-short | [
"region:us"
] | 2023-12-19T14:54:27+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "split", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "bboxes", "dtype": "string"}, {"name": "labels", "dtype": "string"}, {"name": "cab", "dtype": "int64"}, {"name": "hum", "dtype": "... | 2023-12-19T14:55:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gaze-following-short"
More Information needed | [
"# Dataset Card for \"gaze-following-short\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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783764184c2bf172caae5cff4dfb8ab9cef5e3de | # Dataset Card for "multiturner"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/multiturner | [
"region:us"
] | 2023-12-19T15:21:08+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "chosen-rating", "dtype": "float64"}, {"name": "chosen-model", "dtype": "string"}, {"name": "re... | 2023-12-19T15:48:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "multiturner"
More Information needed | [
"# Dataset Card for \"multiturner\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"multiturner\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"multiturner\"\n\nMore Information needed"
] |
0373d447d3063d9413fb611521d36001d96f95d3 |
# Dataset Card for TimeIT
TimeIT encompasses 6 longstanding timestamp-related video tasks and incorporates 12 specific datasets derived from different domains.
**[NOTE]: Please refer to [DATA.md](https://github.com/RenShuhuai-Andy/TimeChat/blob/master/docs/DATA.md) for more details on downloading and processing vi... | ShuhuaiRen/TimeIT | [
"language:en",
"license:cc-by-4.0",
"arxiv:2312.02051",
"region:us"
] | 2023-12-19T15:40:27+00:00 | {"language": ["en"], "license": "cc-by-4.0"} | 2024-02-07T07:37:34+00:00 | [
"2312.02051"
] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #arxiv-2312.02051 #region-us
| Dataset Card for TimeIT
=======================
TimeIT encompasses 6 longstanding timestamp-related video tasks and incorporates 12 specific datasets derived from different domains.
[NOTE]: Please refer to URL for more details on downloading and processing video data.
Dataset Description
-------------------
* H... | [
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8b55fba1b81511fa11bd53d484750286ca12fa8b | # Dataset Card for "multiturner-for-generation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/multiturner-for-generation | [
"region:us"
] | 2023-12-19T15:45:50+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "chosen-rating", "dtype": "float64"}, {"name": "chosen-model", "dtype": "string"}, {"name": "re... | 2023-12-19T15:46:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "multiturner-for-generation"
More Information needed | [
"# Dataset Card for \"multiturner-for-generation\"\n\nMore Information needed"
] | [
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"# Dataset Card for \"multiturner-for-generation\"\n\nMore Information needed"
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bcd0c6969a698da8c44a711c02db772445972641 | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-malayalam | [
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:ml",
"license:cc",
"region:us"
] | 2023-12-19T15:49:38+00:00 | {"language": ["ml"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "template_lang", "dtype": "string"}, {"name": "template_id", "dtype": "int64"}], "splits": [... | 2024-01-26T14:07:00+00:00 | [] | [
"ml"
] | TAGS
#task_categories-conversational #size_categories-1K<n<10K #language-Malayalam #license-cc #region-us
| ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations into Indic l... | [
"### Description\n\nThis dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset. \n\nIndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations int... | [
"TAGS\n#task_categories-conversational #size_categories-1K<n<10K #language-Malayalam #license-cc #region-us \n",
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5300d3560a6dbd29dfe5a249a68500c9463c2507 | # Touch Rugby Rules Dataset (for embeddings)
train.csv is taken from the [International Touch Website](https://cdn.internationaltouch.org/public/FIT%205th%20Edition%20Rulebook.pdf)
test.csv is copy pasted from abbreviated rules on the [UK Touch website](https://www.englandtouch.org.uk/develop/coaching/the-rules/). No... | ghrasko/test01 | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"fine-tuning",
"touch rugby",
"region:us"
] | 2023-12-19T15:51:16+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["text-generation"], "tags": ["fine-tuning", "touch rugby"]} | 2023-12-19T15:52:28+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #language-English #fine-tuning #touch rugby #region-us
| # Touch Rugby Rules Dataset (for embeddings)
URL is taken from the International Touch Website
URL is copy pasted from abbreviated rules on the UK Touch website. Note that I'm bypassing the pdf to text stage.
All text is chunked to a length of 100 tokens with 50% overlap.
For educational and non-commercial use only... | [
"# Touch Rugby Rules Dataset (for embeddings)\n\nURL is taken from the International Touch Website\n\nURL is copy pasted from abbreviated rules on the UK Touch website. Note that I'm bypassing the pdf to text stage.\n\nAll text is chunked to a length of 100 tokens with 50% overlap.\n\nFor educational and non-commer... | [
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6a4ca46dea6763e0b8fafbcef8aae716de6dfaea | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-bengali | [
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:bn",
"license:cc",
"region:us"
] | 2023-12-19T15:58:00+00:00 | {"language": ["bn"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "template_lang", "dtype": "string"}, {"name": "template_id", "dtype": "int64"}], "splits": [... | 2024-01-26T14:07:37+00:00 | [] | [
"bn"
] | TAGS
#task_categories-conversational #size_categories-1K<n<10K #language-Bengali #license-cc #region-us
| ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations into Indic l... | [
"### Description\n\nThis dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset. \n\nIndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations int... | [
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d12d0b948f66ed4b881530e9e642198410fccc44 | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-gujarati | [
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:gu",
"license:cc",
"region:us"
] | 2023-12-19T15:59:05+00:00 | {"language": ["gu"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "template_lang", "dtype": "string"}, {"name": "template_id", "dtype": "int64"}], "splits": [... | 2024-01-26T14:08:06+00:00 | [] | [
"gu"
] | TAGS
#task_categories-conversational #size_categories-1K<n<10K #language-Gujarati #license-cc #region-us
| ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations into Indic l... | [
"### Description\n\nThis dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset. \n\nIndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations int... | [
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1dcf30b6a7ccff14e15278f886c91392e0076a0f | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-hindi | [
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:hi",
"license:cc",
"region:us"
] | 2023-12-19T16:02:20+00:00 | {"language": ["hi"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "template_lang", "dtype": "string"}, {"name": "template_id", "dtype": "int64"}], "splits": [... | 2024-01-26T14:11:16+00:00 | [] | [
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| ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
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3efeafba5e0e33cf0f003b42719e13571cb6d9a8 | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-kannada | [
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"language:kn",
"license:cc",
"region:us"
] | 2023-12-19T16:10:19+00:00 | {"language": ["kn"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "template_lang", "dtype": "string"}, {"name": "template_id", "dtype": "int64"}], "splits": [... | 2024-01-26T14:08:34+00:00 | [] | [
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This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
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108125812d63305b7840de25b46d2cc055a350be | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-marathi | [
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This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
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5811ed6410c2b7ae364794e81fd44d8a2ad06c63 | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-punjabi | [
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a1e86b151293e126b40d6004522b26c21f6c57a0 | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-tamil | [
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This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
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7065c0ced71a746e80827c688de945efbfbe40e6 | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-telugu | [
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] | 2023-12-19T16:14:03+00:00 | {"language": ["te"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "template_lang", "dtype": "string"}, {"name": "template_id", "dtype": "int64"}], "splits": [... | 2024-01-26T14:10:35+00:00 | [] | [
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9f32f1830592fbb740bec0885854fff06d98e17c | ### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analysi... | el2e10/aya-indicsentiment-urdu | [
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6184e05c33c7ec2b1d5978de72489d894d9ce3a9 | # Dataset Card for "transfer_matrix_loss"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhan1993/transfer_matrix_loss | [
"region:us"
] | 2023-12-19T17:11:11+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "expert_name", "dtype": "string"}, {"name": "task_eval_on", "dtype": "string"}, {"name": "score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 318698, "num_exam... | 2023-12-19T17:11:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "transfer_matrix_loss"
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51a0f9715ee620c466a498e14b3e1a1d03617dec |
This repository serves as a public data cache for my Solara Template application, <https://huggingface.co/spaces/cboettig/solara-test> | cboettig/solara-data | [
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d9db8fa40905175d3a0c09c5668d7cb4b8f2937d | # Dataset Card for Common Voice Corpus 16.0
<!-- Provide a quick summary of the dataset. -->
This dataset is an unofficial version of the Mozilla Common Voice Corpus 16. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.
## Languages
```
Abkhaz, Albanian, Amharic, Arabic, A... | fsicoli/common_voice_16_0 | [
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This dataset is an unofficial version of the Mozilla Common Voice Corpus 16. It was downloaded and converted from the project's website URL
## Languages
## How to use
The datasets library allows you to load and pre-process your dataset in pure Python, at scale. The dat... | [
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bb5dba817c0dc740dcb20799175021dc16412251 | # Dataset Card for "x_positive_negative_expert"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhan1993/x_positive_negative_expert | [
"region:us"
] | 2023-12-19T17:32:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "task_eval_on", "dtype": "string"}, {"name": "positive_expert_name", "dtype": "string"}, {"name": "negative_expert_name", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2023-12-19T17:33:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "x_positive_negative_expert"
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255dd80e42de313593f7d57e7dabc99be7982cd2 | # Dataset Card for "task_positive_negative_expert_mmlu_oracle"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhan1993/task_positive_negative_expert_mmlu_oracle | [
"region:us"
] | 2023-12-19T17:54:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "task_eval_on", "dtype": "string"}, {"name": "positive_expert_name", "dtype": "string"}, {"name": "negative_expert_name", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2023-12-19T17:59:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "task_positive_negative_expert_mmlu_oracle"
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989e5096bc0b1812810093a447cf47c45933940e | Data associated with
"DULA and DEBA: Differentiable Ergonomic Risk Models for Postural Assessment and Optimization in Ergonomically Intelligent pHRI";
Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, & Tucker Hermans; IROS; 2022. https://arxiv.org/abs/2205.03491 | ll4ma-lab/DULA-DEBA | [
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| Data associated with
"DULA and DEBA: Differentiable Ergonomic Risk Models for Postural Assessment and Optimization in Ergonomically Intelligent pHRI";
Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, & Tucker Hermans; IROS; 2022. URL | [] | [
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875f0c342731f1c73b5161837c070782dbd9a426 | # Dataset Card for Dataset Name
Modified version of the xView Satellite Imagery dataset for the purposes of demonstrating image classification models.
## Disclaimer
This dataset is a modified version of the xView dataset produced as a collaboration between the Defense Innovation Unit Experimental (DIUx) and the Natio... | CDAO/xview-subset-classification | [
"task_categories:image-classification",
"size_categories:n<1K",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:1802.07856",
"region:us"
] | 2023-12-19T19:10:15+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "size_categories": ["n<1K"], "task_categories": ["image-classification"], "pretty_name": "xView Subset for Image Classification"} | 2023-12-21T03:50:34+00:00 | [
"1802.07856"
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"en"
] | TAGS
#task_categories-image-classification #size_categories-n<1K #language-English #license-cc-by-sa-4.0 #arxiv-1802.07856 #region-us
| # Dataset Card for Dataset Name
Modified version of the xView Satellite Imagery dataset for the purposes of demonstrating image classification models.
## Disclaimer
This dataset is a modified version of the xView dataset produced as a collaboration between the Defense Innovation Unit Experimental (DIUx) and the Natio... | [
"# Dataset Card for Dataset Name\n\nModified version of the xView Satellite Imagery dataset for the purposes of demonstrating image classification models.",
"## Disclaimer\nThis dataset is a modified version of the xView dataset produced as a collaboration between the Defense Innovation Unit Experimental (DIUx) a... | [
"TAGS\n#task_categories-image-classification #size_categories-n<1K #language-English #license-cc-by-sa-4.0 #arxiv-1802.07856 #region-us \n",
"# Dataset Card for Dataset Name\n\nModified version of the xView Satellite Imagery dataset for the purposes of demonstrating image classification models.",
"## Disclaimer... | [
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5ecf2a832da552bbbb3f6decae80b2aa8e98a631 | # Introduction
This dataset is a comprehensive collection of articles sourced from the Alukah website, a renowned platform offering extensive content primarily in Arabic. Alukah is known for its high-quality Arabic prose, significantly surpassing the standard found in contemporary media outlets. The majority of the ar... | ImruQays/Alukah-Arabic | [
"language:ar",
"region:us"
] | 2023-12-19T19:10:31+00:00 | {"language": ["ar"]} | 2023-12-24T17:09:29+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #region-us
| # Introduction
This dataset is a comprehensive collection of articles sourced from the Alukah website, a renowned platform offering extensive content primarily in Arabic. Alukah is known for its high-quality Arabic prose, significantly surpassing the standard found in contemporary media outlets. The majority of the ar... | [
"# Introduction\n\nThis dataset is a comprehensive collection of articles sourced from the Alukah website, a renowned platform offering extensive content primarily in Arabic. Alukah is known for its high-quality Arabic prose, significantly surpassing the standard found in contemporary media outlets. The majority of... | [
"TAGS\n#language-Arabic #region-us \n",
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"passage: TAGS\n#language-Arabic #region-us \n# Introduction\n\nThis dataset is a comprehensive collection of articles sourced from the Alukah website, a renowned platform offering extensive content primarily in Arabic. Alukah is known for its high-quality Arabic prose, significantly surpassing the standard found i... |
e88a94d4f411dff80566c794fa0458407843cd84 | # Dataset Card for "flat_x_p_n"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhan1993/flat_x_p_n | [
"region:us"
] | 2023-12-19T19:13:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "eval_task", "dtype": "string"}, {"name": "sources_texts", "dtype": "string"}, {"name": "positive_expert_names", "dtype": "string"}, {"name": "negative_expert_names", "dtype": "st... | 2023-12-19T19:13:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "flat_x_p_n"
More Information needed | [
"# Dataset Card for \"flat_x_p_n\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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94e757dd91abcbffd375c91c2727fd56714a5b20 | # Dataset Card for "sql-prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sam-mosaic/sql-prompts | [
"region:us"
] | 2023-12-19T20:23:08+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12853227, "num_examples": 18846}], "download_size": 5154754, "dataset_size": 12853227}} | 2023-12-19T20:23:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sql-prompts"
More Information needed | [
"# Dataset Card for \"sql-prompts\"\n\nMore Information needed"
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143b1184440d77ce9f49ee1ef569e0709a892b84 |
# Dataset Card for No Robots Dutch
## Dataset Description
This is a Dutch recreation of [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) but, of course, *with* the use of robots. It contains mostly single-turn chat conversations between a user and an assistant created with `gpt-4-1... | BramVanroy/no_robots_dutch | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:nl",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-19T20:35:42+00:00 | {"language": ["nl"], "license": "cc-by-nc-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "text-generation"], "pretty_name": "No Robots Dutch", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name... | 2024-02-01T13:31:44+00:00 | [] | [
"nl"
] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-1K<n<10K #language-Dutch #license-cc-by-nc-4.0 #region-us
| Dataset Card for No Robots Dutch
================================
Dataset Description
-------------------
This is a Dutch recreation of HuggingFaceH4/no\_robots but, of course, *with* the use of robots. It contains mostly single-turn chat conversations between a user and an assistant created with 'gpt-4-1106-previe... | [
"### Data Instances\n\n\nThe dataset does not have system messages.",
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