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11f7b03884f6b4f2a97cecae2c8eb30caca43c4e | ## KnowledgeMath Benchmark Description
**KnowledgeMath** is a knowledge-intensive dataset focused on mathematical reasoning within the domain of finance. It requires the model to comprehend specialized financial terminology and to interpret tabular data presented in the questions.
**KnowledgeMath** includes **1200 QA... | yilunzhao/KnowledgeMath | [
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"arxiv:2311.09797",
"region:us"
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KnowledgeMath is a knowledge-intensive dataset focused on mathematical reasoning within the domain of finance. It requires the model to comprehend specialized financial terminology and to interpret tabular data presented in the questions.
KnowledgeMath includes 1200 QA examples ... | [
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61414881fbf6934df1a3efc82ed048c8411da2cb | # Dataset Card for "poetica"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/poetica | [
"region:us"
] | 2024-01-02T19:17:36+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "author_info", "dtype": "string"}, {"name": "poem", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3014606, "num_examples": 2241}], "download_size": 17... | 2024-01-02T19:17:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "poetica"
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e310a0e2acfab9456a48ebbe263e854f7576e4a9 | # Dataset Card for Phi-2 Alignment
### Dataset Description
**Creator:** Mahdi Ranjbar
- **Notebook:** [Colab Notebook](https://colab.research.google.com/drive/10ZSi2806svkVRpQlX75Rovz9PDninDia?usp=sharing)
#### Dataset Summary
This dataset was developed for the alignment internship take-home assignment with the g... | mahdi-ranjbar/phi2-alignment | [
"language:en",
"region:us"
] | 2024-01-02T19:18:44+00:00 | {"language": ["en"], "pretty_name": "b", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7660, "num_examples": 10}], "download_size": 12858, "dataset_size": 7660}, "configs": [{"config_name": "default", "data_files"... | 2024-01-03T01:33:48+00:00 | [] | [
"en"
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#language-English #region-us
| # Dataset Card for Phi-2 Alignment
### Dataset Description
Creator: Mahdi Ranjbar
- Notebook: Colab Notebook
#### Dataset Summary
This dataset was developed for the alignment internship take-home assignment with the goal of assessing alignment
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ca893606ec231e138756276c1ba06b2d3c1d61ef |
# Description
Dataset listing 27,328 languages and dialects (also includes macrolanguage names).
For each language, either the [ISO 639 code](https://www.iso.org/iso-639-language-code), the [Glottolog code](https://glottolog.org/meta/downloads) or both are provided.
# Columns
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Dataset listing 27,328 languages and dialects (also includes macrolanguage names).
For each language, either the ISO 639 code, the Glottolog code or both are provided.
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13818c03be12f605c8c27c90797b160682b20829 | 😊 There are two folders:
- **podcasts** 📁: Contains podcasts with regular hosts and guests marked as criminals. 🚨
- **criminals** 📁: Includes voice clips of the podcast's guests, which will be used for the identification of criminals within the podcasts themselves. 🔍🎙️
| zaietsilla/Criminal_Voice_Identification | [
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"region:us"
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#doi-10.57967/hf/1721 #region-us
| There are two folders:
- podcasts : Contains podcasts with regular hosts and guests marked as criminals.
- criminals : Includes voice clips of the podcast's guests, which will be used for the identification of criminals within the podcasts themselves. ️
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8d6d98053b3332279e904091529ebbb820beff0a |
# Dataset Card for HAREM
<!-- 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]:** [More In... | arubenruben/harem | [
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#task_categories-token-classification #annotations_creators-expert-generated #multilinguality-monolingual #language-Portuguese #license-cc-by-4.0 #region-us
|
# Dataset Card for HAREM
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP): pt
- License: cc-by-4.0
### Dataset Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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### Direct Use
### Out... | [
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e2630dfc0d183df54bc977e2edeeeed2c92cd1c3 | # Dataset Card for "Medical_Summaries"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ManuelAlv/Medical_Summaries | [
"region:us"
] | 2024-01-02T20:08:34+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": "int64"}], "splits": [{"nam... | 2024-01-02T20:12:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Medical_Summaries"
More Information needed | [
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96cfba764971e2331ad754f14f8d23ee032840df | # Dataset Card for "quesst_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/quesst_extract_unit | [
"region:us"
] | 2024-01-02T20:13:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"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_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2024-01-02T21:39:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quesst_extract_unit"
More Information needed | [
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de1051608632263049bf130ce0b4fbb8e6f80990 | # Dataset Card for "BC5CDR_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | YBXL/BC5CDR_test | [
"region:us"
] | 2024-01-02T20:31:58+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "answer", "dtype": "... | 2024-01-02T20:32:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "BC5CDR_test"
More Information needed | [
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227965d539cf64f9c788e3c202822dbd3f80b697 |
## ReadMe: Hindi-English Synthetic Dataset - Question-Answer Style Dialogues on Ethics, Systems Thinking, and Creative Problem-Solving with High-Level Principles of Mind
**Dataset Description:**
This was created as part of the Hugging Face Hinglish Training Project, coordinated on the Hugging Face Discord.
This dat... | Solshine/Hindi_English_QandA_Synth_Data_For_Hinglish_Project | [
"license:apache-2.0",
"region:us"
] | 2024-01-02T21:00:29+00:00 | {"license": "apache-2.0"} | 2024-01-14T23:44:50+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
## ReadMe: Hindi-English Synthetic Dataset - Question-Answer Style Dialogues on Ethics, Systems Thinking, and Creative Problem-Solving with High-Level Principles of Mind
Dataset Description:
This was created as part of the Hugging Face Hinglish Training Project, coordinated on the Hugging Face Discord.
This dataset... | [
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4470499de7975d12607748f79f1886712a6a861a | data source: https://github.com/StonyBrookNLP/BioNLI | hippocrates/BioNLI_test | [
"region:us"
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#region-us
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30f081837947ea523fe4682af3d46b5eb7ede15b | # Dataset Card for "FluentUI-ART"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | iamkaikai/FluentUI-ART | [
"region:us"
] | 2024-01-02T21:52:08+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6501934.0, "num_examples": 302}], "download_size": 5927206, "dataset_size": 6501934.0}} | 2024-01-02T21:52:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FluentUI-ART"
More Information needed | [
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0b7e96ddf4e242b90196f403fe44e85af4bc8605 | Scraped User solutions of Leetcode 50 solutions per problem.
I do not own the copyright of the data itself. If you want the data removed please contact me. | SebastianBodza/LeetCode_UserSubmissions | [
"region:us"
] | 2024-01-02T21:55:32+00:00 | {} | 2024-01-03T10:32:05+00:00 | [] | [] | TAGS
#region-us
| Scraped User solutions of Leetcode 50 solutions per problem.
I do not own the copyright of the data itself. If you want the data removed please contact me. | [] | [
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ea1dc85ecd4035089510a4c58030d288d86d89c0 | # Automated Essay Score (AES) ENEM Dataset
## Dataset Description
- **Purpose**: Automated Essay Scoring
- **Contents**: Student Essay Grades
- **Source**: https://github.com/kamel-usp/aes_enem
- **Size**: N<1000
## Use Case and Creators
- **Intended Use**: Estimate Essay Score
- **Creators**: Igor Cataneo Silveira, ... | kamel-usp/aes_enem_dataset | [
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"license:apache-2.0",
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"region:us"
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| # Automated Essay Score (AES) ENEM Dataset
## Dataset Description
- Purpose: Automated Essay Scoring
- Contents: Student Essay Grades
- Source: URL
- Size: N<1000
## Use Case and Creators
- Intended Use: Estimate Essay Score
- Creators: Igor Cataneo Silveira, André Barbosa and Denis Deratani Mauá
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6fc5ddb5f0450c81d28bd7521928f1a7e14a31df |
# CommonGen-Lite
Evaluating LLMs with [CommonGen](https://inklab.usc.edu/CommonGen/) using [CommonGen-lite](https://huggingface.co/datasets/allenai/commongen_lite) dataset (400 examples + 900 human references).
We use GPT-4 to evaluate the constrained text generation ability of LLMs. Please see more in our [paper]... | allenai/commongen_lite | [
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"language:en",
"license:apache-2.0",
"arxiv:1911.03705",
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#task_categories-text-generation #size_categories-n<1K #language-English #license-apache-2.0 #arxiv-1911.03705 #region-us
| CommonGen-Lite
==============
Evaluating LLMs with CommonGen using CommonGen-lite dataset (400 examples + 900 human references).
We use GPT-4 to evaluate the constrained text generation ability of LLMs. Please see more in our paper.
Github: URL
Leaderboard
-----------
* length: the number of words on average i... | [] | [
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e27352d5f991ff29d5264c048ba8e227ab3e0209 | # Dataset Card for "ARB_transfer_matrix"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhan1993/ARB_transfer_matrix | [
"region:us"
] | 2024-01-02T23:49:00+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": 19490, "num_examp... | 2024-01-02T23:49:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ARB_transfer_matrix"
More Information needed | [
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cb32e7f841f78318214c5889d3a324cacb9dcd72 | # Dataset Card for "ARB_transfer_matrix_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhan1993/ARB_transfer_matrix_v2 | [
"region:us"
] | 2024-01-02T23:49:48+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": 15849, "num_examp... | 2024-01-02T23:49:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ARB_transfer_matrix_v2"
More Information needed | [
"# Dataset Card for \"ARB_transfer_matrix_v2\"\n\nMore Information needed"
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b8c6b63de433106a3a3d221beeded3d8fd822e01 | # Dataset Card for "cybersec_embedding"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Yemmy1000/cybersec_embedding | [
"region:us"
] | 2024-01-03T00:01:22+00:00 | {"dataset_info": {"features": [{"name": "INSTRUCTION", "dtype": "string"}, {"name": "RESPONSE", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5951997, "num_examples": 7697}], "download_size": 2761782, "dataset_size": 5951997}} | 2024-01-03T00:01:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cybersec_embedding"
More Information needed | [
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4b055b67631af010c8fa5805651735d83c5eee8d |
# Colour - Checker Detection - Dataset
An image dataset of colour rendition charts.
This dataset is structured according to [Ultralytics YOLO format](https://docs.ultralytics.com/datasets/detect/#usage) and ready to use with [YOLOv8](https://github.com/ultralytics/ultralytics).
The [colour-science/colour-checker-de... | colour-science/colour-checker-detection-dataset | [
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"license:cc-by-4.0",
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"colour",
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"colour-science",
"... | 2024-01-03T00:16:12+00:00 | {"license": "cc-by-4.0", "size_categories": ["n<1K"], "task_categories": ["object-detection"], "pretty_name": "Colour - Checker Detection - Dataset", "tags": ["color", "color-checker", "color-checker-detection", "color-science", "color-space", "color-spaces", "colorspace", "colorspaces", "colour", "colour-checker", "co... | 2024-01-03T04:00:39+00:00 | [] | [] | TAGS
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# Colour - Checker Detection - Dataset
An image dataset of colour rendition charts.
This dataset is structured according to Ultralytics YOLO format and ready to use with YOLOv8.
The colour-science/colour-checker-detection-models models resulting from the YOLOv8 segmentation training are supporting colour rendition ... | [
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e7a94912601d40251b3cd59c21ef623cefd4a99a |
# The GOAT Benchmark ([HomePage](https://goatlmm.github.io/))
We introduce the GOAT-Bench, a comprehensive and specialized dataset designed to evaluate large multimodal models through meme-based multimodal social abuse... | HKBU-NLP/GOAT-Bench | [
"language:en",
"arxiv:2401.01523",
"region:us"
] | 2024-01-03T02:03:38+00:00 | {"language": ["en"]} | 2024-01-10T06:41:18+00:00 | [
"2401.01523"
] | [
"en"
] | TAGS
#language-English #arxiv-2401.01523 #region-us
|
# The GOAT Benchmark (HomePage)
![](URL
We introduce the GOAT-Bench, a comprehensive and specialized dataset designed to evaluate large multimodal models through meme-based multimodal social abuse. GOAT-Bench comprises over 6K diverse memes, encompassing a range of themes including hate speech and offensive content.... | [
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bfd875419004f04870cd558c8b33d060b9a2f7aa | # American Yawp After 1877
This small data set only having a little over 200 rows. Question and answer pairs were generated between Claude and OpenAI. The "Part 2" of the textbook was sliced into 25
chunks of equal size. Then uploaded one at a time into either Claude of OpenAi to generation question and answer pairs b... | ambrosfitz/american_yawp_2_small | [
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"region:us"
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#license-cc-by-sa-4.0 #region-us
| # American Yawp After 1877
This small data set only having a little over 200 rows. Question and answer pairs were generated between Claude and OpenAI. The "Part 2" of the textbook was sliced into 25
chunks of equal size. Then uploaded one at a time into either Claude of OpenAi to generation question and answer pairs b... | [
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c158685e2429611293110e12ba9683208fccfdcf |
# Dataset Construction
The `paraphrased questions` are generated by [gpt-3.5-turbo](https://openai.com/blog/gpt-3-5-turbo-fine-tuning-and-api-updates).
## Prompt Template
```
You are an AI assistant to help me rephrase questions.
Follow the given examples.
Question: Angelo and Melanie want to plan how many hours ove... | shuyuej/gsm8k_testing_chatgpt_generated | [
"license:apache-2.0",
"region:us"
] | 2024-01-03T02:47:39+00:00 | {"license": "apache-2.0"} | 2024-01-25T19:44:31+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Construction
The 'paraphrased questions' are generated by gpt-3.5-turbo.
## Prompt Template
# Dataset Usage
If you find our toolkit useful, please consider citing our repo and toolkit in your publications. We provide a BibTeX entry below.
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6ceb7d1421ad15849c367fbf4f2f471e9ba08ec4 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | SiguienteGlobal/linguistica_assist | [
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#size_categories-10K<n<100K #language-Spanish #license-apache-2.0 #code #doi-10.57967/hf/1674 #region-us
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162133fe66740c92d19900e614dd14478b42ad02 |
# Howto-Interlink7M
## 📙 Overview
Howto-Interlink7M presents a unique interleaved video-text dataset, carefully derived from the raw video content of [Howto100M](https://www.di.ens.fr/willow/research/howto100m/).
<img src="howto_interlink7m_ppl.png" width="75%" height="75%">
In the creation of this dataset, we tur... | Awiny/Howto-Interlink7M | [
"license:apache-2.0",
"region:us"
] | 2024-01-03T03:15:48+00:00 | {"license": "apache-2.0"} | 2024-01-25T04:22:38+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Howto-Interlink7M
=================
Overview
--------
Howto-Interlink7M presents a unique interleaved video-text dataset, carefully derived from the raw video content of Howto100M.
In the creation of this dataset, we turn a long video into a vision-text interleaved documents by BLIP... | [
"### 1. Download the README and All-in-One zip file:\n\n\nOn the official website HowTo100M, locate the download links for the README and the All-in-One zip file.\nExtract the contents of the All-in-One zip file:",
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ef89fc3bc2eab4409061c4f8071f3a7f6d124302 | Download from https://api.python.langchain.com/en/latest/, chunk length set to 400 token.
| caochuxue/langchain-chunked_docs-24-01-03 | [
"region:us"
] | 2024-01-03T03:25:55+00:00 | {} | 2024-01-03T03:29:41+00:00 | [] | [] | TAGS
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0f6ca0218c962e213eb1900d870e2de99b97c19d |
# ibl-khanacademy-transcripts
This dataset houses the transcripts of openly available videos from Khan Academy.
The transcripts were scrapped from [Khan Academy's youtube channel](https://www.youtube.com/@khanacademy) | iblai/ibl-khanacademy-transcripts | [
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | 2024-01-03T03:34:20+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"]} | 2024-01-03T06:19:32+00:00 | [] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-mit #region-us
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# ibl-khanacademy-transcripts
This dataset houses the transcripts of openly available videos from Khan Academy.
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3da6a6676dee97ff5236bd28d6bacdff634736b2 |
`BLACK枪骑兵`, `luxenius`, `pansz`, `半佛仙人`, `不想上吊王承恩`,
`曹丰泽`, `炽梦`, `疯死沃`, `弗兰克扬`, `古青`, `关之檀`,
`贺仙`, `槿年`, `框框框子`, `李建秋`, `流浪的蛤蟆`, `摸鱼的王同学`,
`申鹏`, `斯大王`, `托卡马克之冠`, `王克丹`,
`王瑞恩`, `温酒`, `西门豹的精神门徒`, `谢流远`, `竹青`
知乎大V言论 | bzb2023/ZhihuJunkieSpoken | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2024-01-03T03:43:37+00:00 | {"language": ["zh"], "license": "apache-2.0", "task_categories": ["question-answering", "text-generation"]} | 2024-01-03T03:54:03+00:00 | [] | [
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|
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'王瑞恩', '温酒', '西门豹的精神门徒', '谢流远', '竹青'
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52e079d15e8464e4cacf455f260ea0a2a8b491aa |
## Test as readme
Test file it is.
| paranpen/test-data | [
"license:mit",
"region:us"
] | 2024-01-03T04:40:50+00:00 | {"license": "mit"} | 2024-01-03T07:20:42+00:00 | [] | [] | TAGS
#license-mit #region-us
|
## Test as readme
Test file it is.
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06a9f3f22b037127305b06f3ca7c9ebc4e96b0a3 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
A dataset for Chinese Spatial Semantics Understanding.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [Department of Chinese Language and Literature, Peking U... | 2030NLP/SpaCE2023 | [
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| # Dataset Card for Dataset Name
A dataset for Chinese Spatial Semantics Understanding.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
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- Language(s) (NLP): [Chinese]
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580cef678d940826151fecc20bc4d79d7a921c9f | # Dataset Card for "hellaswag-hi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Thanmay/hellaswag-hi | [
"region:us"
] | 2024-01-03T06:18:58+00:00 | {"dataset_info": {"features": [{"name": "ind", "dtype": "int32"}, {"name": "activity_label", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_b", "dtype": "string"}, {"name": "ctx", "dtype": "string"}, {"name": "endings", "sequence": "string"}, {"name": "source_id", "dtype": "string"}, {"name": "... | 2024-01-05T18:18:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hellaswag-hi"
More Information needed | [
"# Dataset Card for \"hellaswag-hi\"\n\nMore Information needed"
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7662cf5809328f6fc4f1c729d1014315dcd1c5aa | # Dataset Card for "SPECTER2-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/SPECTER2-data | [
"region:us"
] | 2024-01-03T06:54:48+00:00 | {"dataset_info": {"features": [{"name": "query", "struct": [{"name": "title", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"name": "corpus_id", "dtype": "uint64"}]}, {"name": "pos", "struct": [{"name": "title", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"name": "corpus_id", "dtype": ... | 2024-01-03T23:32:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SPECTER2-data"
More Information needed | [
"# Dataset Card for \"SPECTER2-data\"\n\nMore Information needed"
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f17b31a62c328b9e91754782830d70ae343645cf |
### Dataset Summary
This dataset contains the data for personalized passkey retrieval task in the paper [Improving Text Embeddings with Large Language Models](https://arxiv.org/pdf/2401.00368.pdf).
### Data Fields
- `query`: a `string` feature.
- `candidates`: List of `string` feature, 100 candidates for each query... | intfloat/personalized_passkey_retrieval | [
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"arxiv:2401.00368",
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### Dataset Summary
This dataset contains the data for personalized passkey retrieval task in the paper Improving Text Embeddings with Large Language Models.
### Data Fields
- 'query': a 'string' feature.
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f55b23a942608083cffe2813c803d3517ebb1e41 | # 姜子牙写作任务中文评估数据集 Ziya-Writing-Eval-Chinese
### 数据介绍 Dataset Summary
用于评估大语言模型在中文写作任务上的水平，通常采用Side-by-Side评测；
本评测集包含了以下几个写作子任务：
- 应用写作
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- 作文
- 文案
- 小说
- 视频脚本
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- 广告
- 剧本
- 童话
This evaluation set is used to assess the proficiency of lar... | IDEA-CCNL/Ziya-Writing-Eval-Chinese | [
"size_categories:n<1K",
"language:zh",
"license:apache-2.0",
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#size_categories-n<1K #language-Chinese #license-apache-2.0 #region-us
| # 姜子牙写作任务中文评估数据集 Ziya-Writing-Eval-Chinese
### 数据介绍 Dataset Summary
用于评估大语言模型在中文写作任务上的水平，通常采用Side-by-Side评测；
本评测集包含了以下几个写作子任务：
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- 公文
- 通知
- 报告
- 论文
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- 申请书
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- 文案
- 小说
- 视频脚本
- 攻略
- 广告
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This evaluation set is used to assess the proficiency of lar... | [
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f95b619fa0c06e7acd476aced61ddf136c4a89a6 | # Dataset Card for "30000-50000-ultrafeedback-ita"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | giux78/30000-50000-ultrafeedback-ita | [
"region:us"
] | 2024-01-03T07:33:32+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test_gen", "path": "data/test_gen-*"}, {"split": "test_sft", "path": "data/test_sft-*"}, {"split": "train_gen", "path": "data/train_gen-*"}, {"split": "train_sft", "path": "data/train_sft-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": ... | 2024-01-03T07:34:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "30000-50000-ultrafeedback-ita"
More Information needed | [
"# Dataset Card for \"30000-50000-ultrafeedback-ita\"\n\nMore Information needed"
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e08127c1a6edf46523561fda3e5ade4dbb4e1ae4 |
# Dataset Card for emotion-custom
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-d... | Avimaster/emotion-custom | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2024-01-03T07:35:52+00:00 | {"size_categories": "n<1K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2024-01-03T07:36:11+00:00 | [] | [] | TAGS
#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for emotion-custom
===============================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---------... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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521a5c9ea68422ca10de63300d981e4d5b88a2d3 | # Dataset Card for "alpaca_in_mixtral_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fxmeng/alpaca_in_mixtral_format | [
"region:us"
] | 2024-01-03T07:56:41+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20350215, "num_examples": 52002}], "download_size": 11773876, "dataset_size": 20350215}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "dat... | 2024-01-03T07:56:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alpaca_in_mixtral_format"
More Information needed | [
"# Dataset Card for \"alpaca_in_mixtral_format\"\n\nMore Information needed"
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af83abe58c5de3e999ad4e5855a7d3d3b07c9aee | Incoming Email Response
Hello Amirsha sir I thank you for this opportunity but as I am out of station I will not be able to attend the interview on the scheduled date .So I am sorry for the inconvenience .So please do consider my request and reschedule the interview as soon as possible after 3 -01-2024.I hope you wil... | adudgaon/email_responses | [
"license:mit",
"region:us"
] | 2024-01-03T08:11:02+00:00 | {"license": "mit"} | 2024-01-03T08:17:15+00:00 | [] | [] | TAGS
#license-mit #region-us
| Incoming Email Response
Hello Amirsha sir I thank you for this opportunity but as I am out of station I will not be able to attend the interview on the scheduled date .So I am sorry for the inconvenience .So please do consider my request and reschedule the interview as soon as possible after 3 -01-2024.I hope you wil... | [] | [
"TAGS\n#license-mit #region-us \n"
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f69b7ee681c8c4e9bf76e6a340028d96bd269ff6 |
Weights for the pre-trained DewarpNet model developed by Das et al. (2019).
The code for the model can be found on https://github.com/cvlab-stonybrook/DewarpNet. | docdewarper/dewarpnet_weights | [
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"region:us"
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#license-mit #region-us
|
Weights for the pre-trained DewarpNet model developed by Das et al. (2019).
The code for the model can be found on URL | [] | [
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9b7a759fae80112de8b09fd5069d9f4438fcfc87 | # Dataset Card for "ultrachat_hindi_seamless"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | apurvagup/ultrachat_hindi_seamless | [
"region:us"
] | 2024-01-03T08:33:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "data/train_sft-*"}, {"split": "test_sft", "path": "data/test_sft-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": ... | 2024-01-03T14:13:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat_hindi_seamless"
More Information needed | [
"# Dataset Card for \"ultrachat_hindi_seamless\"\n\nMore Information needed"
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f5ae15088641e4facf4162f1e20ad79539de5c02 | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | Threatthriver/General_Text_Data | [
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| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP): [Indian Language]
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9c18d84553f67f3f4e0bd1756bcf33f1030479cd | # Dataset Card for "CVE-2023-25690_testLLM"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nganlt/CVEs_10 | [
"region:us"
] | 2024-01-03T08:35:38+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 33169, "num_examples": 150}], "download_size": 12485, "dataset_size": 33169}} | 2024-01-04T07:50:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CVE-2023-25690_testLLM"
More Information needed | [
"# Dataset Card for \"CVE-2023-25690_testLLM\"\n\nMore Information needed"
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d70d8d017518f926b6a2fc6722d6d0dd4b62797c | # Dataset Card for "bioacoustic_segments"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adilhabibi/bioacoustic_segments | [
"region:us"
] | 2024-01-03T08:36:22+00:00 | {"dataset_info": {"features": [{"name": "segments", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "label_idices", "dtype": "int64"}, {"name": "label_names", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 72803953, "num_examples": 1457}], "download_size": 53309954, "dataset_size": 72803953... | 2024-01-03T08:36:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bioacoustic_segments"
More Information needed | [
"# Dataset Card for \"bioacoustic_segments\"\n\nMore Information needed"
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40de7136fbcdf92b4ffa8f7e6f72209195ab8f49 |
Weights for the pre-trained PaperEdge model by Ma et al. ("Learning From Documents in the Wild to Improve Document Unwarping", SIGGRAPH 2022).
Code available at https://github.com/cvlab-stonybrook/PaperEdge. | docdewarper/paperedge_weights | [
"license:mit",
"region:us"
] | 2024-01-03T08:48:08+00:00 | {"license": "mit"} | 2024-01-03T08:52:26+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Weights for the pre-trained PaperEdge model by Ma et al. ("Learning From Documents in the Wild to Improve Document Unwarping", SIGGRAPH 2022).
Code available at URL | [] | [
"TAGS\n#license-mit #region-us \n"
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0b35dd10c186d8c41f7ae57018cb880b04385266 | # Dataset Card for "Diffusion-Evodiff_knots"
## Dataset of proteins from Evodiff
Dataset of proteins generated through Evodiff
Contains knotted proteins (tested with omegafold and topoly) and unknotted proteins in ratio 1:4
The dataset is splitted into a train set (majority, 90 %) and evaluation set (only 10 %)
[... | EvaKlimentova/Diffusion-Evodiff_knots | [
"region:us"
] | 2024-01-03T08:50:21+00:00 | {"dataset_info": {"features": [{"name": "ID", "dtype": "string"}, {"name": "Sequence", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3650734.2822767235, "num_examples": 9724}, {"name": "test", "num_bytes": 405845.71772327623, "num_examples": 1081}], "download_size":... | 2024-01-16T13:27:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Diffusion-Evodiff_knots"
## Dataset of proteins from Evodiff
Dataset of proteins generated through Evodiff
Contains knotted proteins (tested with omegafold and topoly) and unknotted proteins in ratio 1:4
The dataset is splitted into a train set (majority, 90 %) and evaluation set (only 10 %)
M... | [
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1aa62f5f2f0bbf97dda57de735ba7cce0316cde9 |
# Dataset Card for field-custom
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-dat... | Avimaster/field-custom | [
"size_categories:n<1K",
"rlfh",
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#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for field-custom
=============================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
-------------... | [
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44d3fb4ada8e4a4db7f307da60ea77964f120885 | dataset_info:
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... | AlaGrine/codeparrot-sklearn | [
"task_categories:conversational",
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] | 2024-01-03T09:10:56+00:00 | {"license": "mit", "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "copies", "dtype": "string"}, {"name": "size", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "license", "dtype": "string"... | 2024-01-03T10:08:44+00:00 | [] | [] | TAGS
#task_categories-conversational #license-mit #region-us
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d5994608c28dc1fb0d7a4e93410a428529891cc5 |
<p style="font-size:28px;" align="center">
🏠 MoTCode-Data
</p>
<p align="center">
• 🤗 <a href="https://huggingface.co/datasets/JingyaoLi/MoTCode-Data" target="_blank">Data </a> • 🤗 <a href="https://huggingface.co/JingyaoLi/MoTCoder-15B-v1.0" target="_blank">Model </a> • 🐱 <a href="https://github.com/dvlab-researc... | JingyaoLi/MoTCode-Data | [
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"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:code",
"license:mit... | 2024-01-03T09:12:16+00:00 | {"language": ["code"], "license": "mit", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["text2text-generation", "text-generation", "question-answering", "conversational", "translation"], "task_ids": ["language-modeling"], "pretty_name": "MoTCode", "tags": ["python", "code-gen... | 2024-01-03T10:56:21+00:00 | [
"2312.15960"
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"code"
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#task_categories-text2text-generation #task_categories-text-generation #task_categories-question-answering #task_categories-conversational #task_categories-translation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #language-code #license-mit #python #code-generation #large-la... |
MoTCode-Data
• [Data](URL target=) • [Model](URL target=) • [Code](URL target=) • [Paper](URL target=)
Dataset Structure
-----------------
### Data Features
Features: id, Type: int, Description: problem id
Features: instruction, Type: string, Description: problem description
Features: input, Type: st... | [
"### Data Features\n\n\nFeatures: id, Type: int, Description: problem id\nFeatures: instruction, Type: string, Description: problem description\nFeatures: input, Type: string, Description: modulars description, including their function headers and docstrings describing their intended usage\nFeatures: output, Type: ... | [
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696ab60668871e5d709ef5b53cdbf7dd558229ac | 把yazhou80/books-all-pkl 的数据全部转化成向量了， embedding model is openai ada2 | yazhou80/books-all-pkl-vector | [
"region:us"
] | 2024-01-03T09:13:53+00:00 | {} | 2024-01-03T14:26:28+00:00 | [] | [] | TAGS
#region-us
| 把yazhou80/books-all-pkl 的数据全部转化成向量了， embedding model is openai ada2 | [] | [
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1255ba9a19f26a8edb48d4df7173d1d51a586016 | Orignal dataset is https://huggingface.co/datasets/clarin-pl/poquad
As orignal dataset is mainly for SQuADv1 type of models, this copy also unlocks access to SQuADv2 type of features in poquad like empty questions. | mzasada/poquad_v2 | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:pl",
"license:apache-2.0",
"region:us"
] | 2024-01-03T09:19:13+00:00 | {"language": ["pl"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "is... | 2024-01-10T15:04:59+00:00 | [] | [
"pl"
] | TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-Polish #license-apache-2.0 #region-us
| Orignal dataset is URL
As orignal dataset is mainly for SQuADv1 type of models, this copy also unlocks access to SQuADv2 type of features in poquad like empty questions. | [] | [
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0e36fc717b7ab3ed314be19a252b5dd5732ec556 | <h2><strong><a href="https://myhealthfitnessmart.blogspot.com/2024/01/guardian-botanicals-blood-balance.html">Guardian Botanicals Blood Balance</a> Review </strong></h2>
<p><a href="https://carehealthreview.blogspot.com/2024/01/guardian-botanicals-blood-balance.html"><strong>Guardian Botanicals Blood Balance</strong></... | bloodsugaraustralia/guardian-blood-balance-review | [
"region:us"
] | 2024-01-03T10:02:08+00:00 | {} | 2024-01-03T10:02:32+00:00 | [] | [] | TAGS
#region-us
| <h2><strong><a href="URL Botanicals Blood Balance</a> Review </strong></h2>
<p><a href="URL Botanicals Blood Balance</strong></a> is an effective and natural formula that helps maintain a healthy blood sugar level. This formula helps to regulate blood sugar, and blood pressure and prevents you from developing insulin r... | [
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ae398f55606a0a599fb71e2a04593036881b0f33 | # This is a demonstration dataset created using [Augmentoolkit](https://github.com/e-p-armstrong/augmentoolkit) and some [Project Gutenberg]() books.
# Augmentoolkit lets you use local models running on your own machine to create datasets based on any text you can conceive of.
# This dataset is just an example of how y... | Heralax/Augmentoolkit-demo | [
"region:us"
] | 2024-01-03T10:15:54+00:00 | {} | 2024-01-04T21:42:55+00:00 | [] | [] | TAGS
#region-us
| # This is a demonstration dataset created using Augmentoolkit and some [Project Gutenberg]() books.
# Augmentoolkit lets you use local models running on your own machine to create datasets based on any text you can conceive of.
# This dataset is just an example of how you can use it. If you finetune models (or want to)... | [
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42f52c64f929c87a58e52bb09904ec60033b645e | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | AstroAlpha/Personal_Dataset | [
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:mit",
"not-for-all-audiences",
"region:us"
] | 2024-01-03T10:28:23+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["conversational"], "pretty_name": "Savita", "tags": ["not-for-all-audiences"]} | 2024-01-03T10:54:40+00:00 | [] | [
"en"
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#task_categories-conversational #size_categories-n<1K #language-English #license-mit #not-for-all-audiences #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
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c5e7b053f5cbfe5d417c2fecb2e50e9bcc0d028d | # Dataset Card for "araproje_mmlu_tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_tr | [
"region:us"
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#region-us
| # Dataset Card for "araproje_mmlu_tr"
More Information needed | [
"# Dataset Card for \"araproje_mmlu_tr\"\n\nMore Information needed"
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00685895ae259b49e8251eba5a46a2383da6d719 | # Dataset Card for "araproje_mmlu_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_mmlu_en | [
"region:us"
] | 2024-01-03T10:51:52+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "validation", "num_bytes": 124670.8033964729,... | 2024-01-03T11:26:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_mmlu_en"
More Information needed | [
"# Dataset Card for \"araproje_mmlu_en\"\n\nMore Information needed"
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914edd1635c621d5cfd9113e654460a8d2b85d7e | # Dataset Card for "araproje_truthful_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_truthful_en | [
"region:us"
] | 2024-01-03T10:56:49+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "mc1_targets", "struct": [{"name": "choices", "sequence": "string"}, {"name": "labels", "sequence": "int32"}]}, {"name": "mc2_targets", "struct": [{"name": "choices", "sequence": "string"}, {"name": "labels", "sequence": "int32"}]}], "spli... | 2024-01-03T11:11:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_truthful_en"
More Information needed | [
"# Dataset Card for \"araproje_truthful_en\"\n\nMore Information needed"
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ad6f7cbc48a2a9be562effa0da646ab656309887 | # Dataset Card for "araproje_truthful_tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_truthful_tr | [
"region:us"
] | 2024-01-03T10:57:05+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "mc1_targets", "struct": [{"name": "choices", "sequence": "string"}, {"name": "labels", "sequence": "int32"}]}, {"name": "mc2_targets", "struct": [{"name": "choices", "sequence": "string"}, {"name": "labels", "sequence": "int32"}]}], "spli... | 2024-01-03T11:11:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_truthful_tr"
More Information needed | [
"# Dataset Card for \"araproje_truthful_tr\"\n\nMore Information needed"
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eeca3dfe23beac99918aebbfb93cf5acb9676211 | # Dataset Card for "araproje_arc_tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_tr | [
"region:us"
] | 2024-01-03T11:04:41+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 86423, "num_e... | 2024-01-03T11:54:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_arc_tr"
More Information needed | [
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3d84bb0214049a482b51be3185f7a1a93d050233 | # Dataset Card for "araproje_arc_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_arc_en | [
"region:us"
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More Information needed | [
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"TAGS\n#region-us \n",
"# Dataset Card for \"araproje_arc_en\"\n\nMore Information needed"
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18
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b3eaa2aed3a2d200c2596908c319a684e34a4eaa | # Dataset Card for "araproje_hellaswag_tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_hellaswag_tr | [
"region:us"
] | 2024-01-03T11:08:24+00:00 | {"dataset_info": {"features": [{"name": "ind", "dtype": "int32"}, {"name": "activity_label", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_b", "dtype": "string"}, {"name": "ctx", "dtype": "string"}, {"name": "endings", "sequence": "string"}, {"name": "source_id", "dtype": "string"}, {"name": "... | 2024-01-03T13:33:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_hellaswag_tr"
More Information needed | [
"# Dataset Card for \"araproje_hellaswag_tr\"\n\nMore Information needed"
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3f09758c0892a87d4425cb87057a375327418a18 | # Dataset Card for "araproje_hellaswag_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibranze/araproje_hellaswag_en | [
"region:us"
] | 2024-01-03T11:08:32+00:00 | {"dataset_info": {"features": [{"name": "ind", "dtype": "int32"}, {"name": "activity_label", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_b", "dtype": "string"}, {"name": "ctx", "dtype": "string"}, {"name": "endings", "sequence": "string"}, {"name": "source_id", "dtype": "string"}, {"name": "... | 2024-01-03T13:37:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "araproje_hellaswag_en"
More Information needed | [
"# Dataset Card for \"araproje_hellaswag_en\"\n\nMore Information needed"
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012543b3692099045ae26b8549ae47eb0f8f12c2 |
# Introduction
The "Ameresco-ASR" Subset is a specialized extract from the "Corpus Ameresco" (Albelda and Estellés, online), focusing on colloquial Spanish spoken in various cities across Spain and the Americas. This dataset has been specifically curated to facilitate the fine-tuning of Whisper, an automatic speech re... | johnatanebonilla/ameresco-asr | [
"task_categories:automatic-speech-recognition",
"task_categories:conversational",
"size_categories:10K<n<100K",
"language:es",
"region:us"
] | 2024-01-03T11:42:06+00:00 | {"language": ["es"], "size_categories": ["10K<n<100K"], "task_categories": ["automatic-speech-recognition", "conversational"], "pretty_name": "AMERESCO-ASR Subset", "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "id", "dtype": "int64"}, {"name": "time", "dtype": "string"}, {"name": "sentenc... | 2024-01-03T12:24:24+00:00 | [] | [
"es"
] | TAGS
#task_categories-automatic-speech-recognition #task_categories-conversational #size_categories-10K<n<100K #language-Spanish #region-us
|
# Introduction
The "Ameresco-ASR" Subset is a specialized extract from the "Corpus Ameresco" (Albelda and Estellés, online), focusing on colloquial Spanish spoken in various cities across Spain and the Americas. This dataset has been specifically curated to facilitate the fine-tuning of Whisper, an automatic speech re... | [
"# Introduction\nThe \"Ameresco-ASR\" Subset is a specialized extract from the \"Corpus Ameresco\" (Albelda and Estellés, online), focusing on colloquial Spanish spoken in various cities across Spain and the Americas. This dataset has been specifically curated to facilitate the fine-tuning of Whisper, an automatic ... | [
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385d278d19f5ccca5a4bd3f4f91db7901dc1ca5c | <h2><strong><a href="https://myhealthfitnessmart.blogspot.com/2024/01/guardian-botanicals-blood-balance.html">Guardian Botanicals Blood Balance</a> Review </strong></h2>
<p><a href="https://carehealthreview.blogspot.com/2024/01/guardian-botanicals-blood-balance.html"><strong>Guardian Botanicals Blood Balance</strong></... | bloodsugaraustralia/guardian-blood-balance | [
"region:us"
] | 2024-01-03T11:48:46+00:00 | {} | 2024-01-03T11:49:00+00:00 | [] | [] | TAGS
#region-us
| <h2><strong><a href="URL Botanicals Blood Balance</a> Review </strong></h2>
<p><a href="URL Botanicals Blood Balance</strong></a> is an effective and natural formula that helps maintain a healthy blood sugar level. This formula helps to regulate blood sugar, and blood pressure and prevents you from developing insulin r... | [
"# READ MORE INFO-</h2>\n<p><span style=\"color: #ff0000;\"><a href=\"URL/URL\n<p><span style=\"color: #ff0000;\"><a href=\"URL/URL\n<p><span style=\"color: #ff0000;\"><a href=\"URL/URL\n<p><span style=\"color: #ff0000;\"><a href=\"URL/URL\n<p><span style=\"color: #ff0000;\"><a href=\"URL/URL\n<p><span style=\"colo... | [
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501
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06356f82d7ed156268d6a8710e79f093bf4035fe |
This is a small subset of the huge [histogram-comparisons-v1](https://huggingface.co/datasets/neoneye/histogram-comparisons-v1) dataset with 3M rows.
This dataset contains 150000 items in total. There are 3 curriculums each containing 50000 items.
Each item is a markdown document.
Each item contains between 2 and 6... | neoneye/histogram-comparisons-small-v1 | [
"task_categories:image-to-text",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] | 2024-01-03T12:05:13+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["image-to-text"]} | 2024-01-03T12:29:03+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #size_categories-100K<n<1M #language-English #license-mit #region-us
|
This is a small subset of the huge histogram-comparisons-v1 dataset with 3M rows.
This dataset contains 150000 items in total. There are 3 curriculums each containing 50000 items.
Each item is a markdown document.
Each item contains between 2 and 6 image comparisons, with a 'Summary' at the bottom.
The images are ... | [
"## Response', that separates the prompt from the answer.\n\nThe structure of the markdown document with 3 comparisons: A, B, C."
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] |
ff569bc13ece453bde1446fd9d5a9bb79703a285 | # Dataset Card for "indic-copa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Thanmay/indic-copa | [
"region:us"
] | 2024-01-03T12:40:59+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "choice1", "dtype": "string"}, {"name": "choice2", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "label", "dtype": "int32"}, {"name": "idx", "dtype": "int32"}, {"name": "changed", "dtype": "bool"}, {"name": "itv2 as ... | 2024-01-03T12:41:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "indic-copa"
More Information needed | [
"# Dataset Card for \"indic-copa\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"indic-copa\"\n\nMore Information needed"
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559b7c542b6962ce4113cd6e6e687c788a7cebb7 | # Dataset Card for "indic-para"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ai4bharat/IndicXParaphrase-Translated | [
"region:us"
] | 2024-01-03T12:41:09+00:00 | {"dataset_info": {"features": [{"name": "english", "dtype": "string"}, {"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}, {"name": "itv2 as sentence1", "dtype": "string"}, {"name": "itv2 as sentence2", "dtype"... | 2024-01-03T12:42:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "indic-para"
More Information needed | [
"# Dataset Card for \"indic-para\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"indic-para\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"indic-para\"\n\nMore Information needed"
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2dd64373c66a077b37d580ab7f1d495fda42d05f | Dataset merged from a large variety of other sources.
See https://github.com/jondurbin/bagel for full set and code used to merge. | jondurbin/bagel-v0.3 | [
"license:cc-by-4.0",
"not-for-all-audiences",
"region:us"
] | 2024-01-03T12:58:57+00:00 | {"license": "cc-by-4.0", "tags": ["not-for-all-audiences"]} | 2024-01-06T16:29:53+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #not-for-all-audiences #region-us
| Dataset merged from a large variety of other sources.
See URL for full set and code used to merge. | [] | [
"TAGS\n#license-cc-by-4.0 #not-for-all-audiences #region-us \n"
] | [
24
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"passage: TAGS\n#license-cc-by-4.0 #not-for-all-audiences #region-us \n"
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b28d469c2de6bef280f276d9ff962b93041f541b | # Dataset Card for "indic-copa-hi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ai4bharat/IndicCOPA-Translated | [
"region:us"
] | 2024-01-03T13:05:32+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "choice1", "dtype": "string"}, {"name": "choice2", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "label", "dtype": "i... | 2024-01-03T13:26:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "indic-copa-hi"
More Information needed | [
"# Dataset Card for \"indic-copa-hi\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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8d20d7ed099ffdac8da637fd1ce683f84cadf932 | # PIE Dataset Card for "scientific_papers"
This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the
[scientific_papers Huggingface dataset loading script](https://huggingface.co/datasets/scientific_papers).
## Data Schema
The document type for this dataset is `ScientificPapersDocument` whic... | pie/scientific_papers | [
"region:us"
] | 2024-01-03T13:27:17+00:00 | {} | 2024-01-03T13:27:38+00:00 | [] | [] | TAGS
#region-us
| # PIE Dataset Card for "scientific_papers"
This is a PyTorch-IE wrapper for the
scientific_papers Huggingface dataset loading script.
## Data Schema
The document type for this dataset is 'ScientificPapersDocument' which defines the following data fields:
- 'text' (str)
and the following annotation layers:
- 'abst... | [
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7c9d4ec30338c6ca292cb4d97e357c64d54a6af9 |
# 💬 MT-Bench-ZH
👻 [GitHub](https://github.com/GeneZC/MiniMA/tree/main/mt_bench_zh)
## 🎯 Motivation
MiniChat-1/1.5/2-3B are all instruction-following language models that could handle Chinese instructions, however, there is currently no instruciton-following benchamrk specialized for Chinese. Due to this, our pr... | GeneZC/MT-Bench-ZH | [
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:n<1K",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2024-01-03T13:49:12+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["text-generation", "conversational"]} | 2024-01-03T14:06:09+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #task_categories-conversational #size_categories-n<1K #language-Chinese #license-apache-2.0 #region-us
| MT-Bench-ZH
===========
GitHub
Motivation
----------
MiniChat-1/1.5/2-3B are all instruction-following language models that could handle Chinese instructions, however, there is currently no instruciton-following benchamrk specialized for Chinese. Due to this, our previous evaluation has been limited to English-on... | [
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a6d917e2a625b08f147a11ecd6a58862b5c86721 |
This dataset includes chess games played in the Chess.com "Titled Tuesday" events from July 2022 to December 2023. The games in the dataset were played by titled players
who ranked 1-25 in at least one tournament. Since game documents are organized around players and there are duplicate games, the dataset is more suit... | kirillgoltsman/titled-tuesday-chess-games | [
"license:apache-2.0",
"region:us"
] | 2024-01-03T14:01:57+00:00 | {"license": "apache-2.0"} | 2024-01-03T14:23:48+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This dataset includes chess games played in the URL "Titled Tuesday" events from July 2022 to December 2023. The games in the dataset were played by titled players
who ranked 1-25 in at least one tournament. Since game documents are organized around players and there are duplicate games, the dataset is more suitable f... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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14
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"passage: TAGS\n#license-apache-2.0 #region-us \n"
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94e217322d1917ea9021d820a42f02bad8e03ab1 | # Dataset Card for "full_sft_chat_data_filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | haisonle001/full_sft_chat_data_filtered | [
"region:us"
] | 2024-01-03T14:21:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "data/train_sft-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "st... | 2024-01-03T14:31:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "full_sft_chat_data_filtered"
More Information needed | [
"# Dataset Card for \"full_sft_chat_data_filtered\"\n\nMore Information needed"
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536d928010df1457f9312f079add9df0b0011521 | "LLM-SAP: Large Language Model Situational Awareness Based Planning"
Paper: https://arxiv.org/abs/2312.16127
Github: https://github.com/HanyangZhong/Situational_Planning_datasets
This image collection has been sourced from the internet and is intended solely for research purposes.
We have made every effort to respect... | baoji/Household_safety | [
"license:mit",
"arxiv:2312.16127",
"region:us"
] | 2024-01-03T14:27:12+00:00 | {"license": "mit"} | 2024-01-03T14:34:07+00:00 | [
"2312.16127"
] | [] | TAGS
#license-mit #arxiv-2312.16127 #region-us
| "LLM-SAP: Large Language Model Situational Awareness Based Planning"
Paper: URL
Github: URL
This image collection has been sourced from the internet and is intended solely for research purposes.
We have made every effort to respect copyright and intellectual property rights.
However, if you believe that any content ... | [] | [
"TAGS\n#license-mit #arxiv-2312.16127 #region-us \n"
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20
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0031d673c96139670f3587872d7203f45c321238 | ## Dataset Description
- **Homepage** [Projecte AINA](https://projecteaina.cat/tech/)
- **Repository** [HuggingFace](https://huggingface.co/projecte-aina)
- **Paper** [N/A]
- **Point of Contact** langtech@bsc.es
### Dataset Summary
PureInstructQA is a multilingual question answering instructional dataset merging di... | projecte-aina/PureInstructQA | [
"language:ca",
"language:en",
"language:es",
"license:cc-by-sa-4.0",
"region:us"
] | 2024-01-03T15:14:07+00:00 | {"language": ["ca", "en", "es"], "license": ["cc-by-sa-4.0"], "pretty_name": "PureInstructQA"} | 2024-02-11T14:18:10+00:00 | [] | [
"ca",
"en",
"es"
] | TAGS
#language-Catalan #language-English #language-Spanish #license-cc-by-sa-4.0 #region-us
| Dataset Description
-------------------
* Homepage Projecte AINA
* Repository HuggingFace
* Paper [N/A]
* Point of Contact langtech@URL
### Dataset Summary
PureInstructQA is a multilingual question answering instructional dataset merging different collections' question/answer/context triplets for optimised traini... | [
"### Dataset Summary\n\n\nPureInstructQA is a multilingual question answering instructional dataset merging different collections' question/answer/context triplets for optimised training of LLMs for RAG applications.\nIt contains extractive, abstractive and open\\_qa instances, as we'll as AI generated Q/A instance... | [
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6140b2e0ecc5cdcaa9394f08eefaa4fe1db2ab72 | # Dataset Card for "camel-verified-it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/camel-verified-it | [
"region:us"
] | 2024-01-03T15:22:37+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 361707, "num_examples": 126}], "download_size": 189080, "dataset_size": 361707}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/t... | 2024-01-04T00:23:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "camel-verified-it"
More Information needed | [
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e5a58e6c81320bdbbd242c740309076c92ecf1cf | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | salam123/depression123 | [
"license:apache-2.0",
"region:us"
] | 2024-01-03T15:26:18+00:00 | {"license": "apache-2.0"} | 2024-01-03T15:51:40+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
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1bf16fb7af53054f0fb063626471a36ad2b01db7 | # Dataset Card for "ELLSWORTH-KELLY-ART"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | iamkaikai/ELLSWORTH-KELLY-ART | [
"region:us"
] | 2024-01-03T15:58:11+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3070109.0, "num_examples": 196}], "download_size": 2831838, "dataset_size": 3070109.0}} | 2024-01-03T15:58:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ELLSWORTH-KELLY-ART"
More Information needed | [
"# Dataset Card for \"ELLSWORTH-KELLY-ART\"\n\nMore Information needed"
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037fce473440dbada4fa8b74633fe7c0ed88c73a | # Dataset Card for "es-0103-stop-no-demoji-no-hasthag-l"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gg-ai/es-0103-stop-no-demoji-no-hasthag-l | [
"region:us"
] | 2024-01-03T16:35:44+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "clean_text", "dtype": "string"}, {"name": "sent", "dtype": ... | 2024-01-03T16:35:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "es-0103-stop-no-demoji-no-hasthag-l"
More Information needed | [
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085554e1e155611bfcd4d63c359d3722cd5b8c7c |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | Aldroide/xlm-roberta-base-finetuned-panx-de | [
"license:mit",
"generated_from_trainer",
"region:us"
] | 2024-01-03T16:37:53+00:00 | {"license": "mit", "base_model": "xlm-roberta-base", "tags": ["generated_from_trainer"], "datasets": ["xtreme"], "metrics": ["f1"], "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "xtreme", "type": ... | 2024-01-03T17:29:10+00:00 | [] | [] | TAGS
#license-mit #generated_from_trainer #region-us
| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1395
* F1: 0.8649
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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135e6df072339dfe1e6b88a491d9f6832c75a811 |
This is a test dataset used in the `datasets` library CI | datasets-maintainers/dataset-with-standalone-yaml | [
"license:apache-2.0",
"test",
"region:us"
] | 2024-01-03T16:55:36+00:00 | {"license": "apache-2.0", "tags": ["should-be-overwritten-by-standalone-yaml"]} | 2024-01-03T17:21:03+00:00 | [] | [] | TAGS
#license-apache-2.0 #test #region-us
|
This is a test dataset used in the 'datasets' library CI | [] | [
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47482a8aa4951a36f47c44afb33cc491ae4f45c9 | # AstroClassification and Redshifts Pretraining Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset was used in the masked autoencoding pretraining step for the AstroClassification and Redshifts tasks introduced in [Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations](). ... | helenqu/astro-classification-redshifts-pretrain | [
"license:mit",
"region:us"
] | 2024-01-03T17:22:06+00:00 | {"license": "mit"} | 2024-01-03T17:44:01+00:00 | [] | [] | TAGS
#license-mit #region-us
| # AstroClassification and Redshifts Pretraining Dataset
This dataset was used in the masked autoencoding pretraining step for the AstroClassification and Redshifts tasks introduced in [Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations](). This is a dataset of simulated astronomical time... | [
"# AstroClassification and Redshifts Pretraining Dataset\n\n\n\nThis dataset was used in the masked autoencoding pretraining step for the AstroClassification and Redshifts tasks introduced in [Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations](). This is a dataset of simulated astronom... | [
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197e62f3066b7e502c1cc7738666f9e9e78213ec | 1 | Wha123/test | [
"region:us"
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#region-us
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83cd50052e3363b835cbbab240ececaceb45711f | This is dataset contains 1,673 Faroese-to-English parallel sentences generated by GPT-4. The Faroese text is blog text from the Basic Language Resource Kit for Faroese 1.0 text corpus.
In addition to the parallel sentences, the dataset contains a column with a quality report made by GPT-4 in which it describes the cha... | AnnikaSimonsen/GPT-4_FO-EN_parallel_blog_sentences | [
"region:us"
] | 2024-01-03T17:35:23+00:00 | {} | 2024-01-03T17:58:29+00:00 | [] | [] | TAGS
#region-us
| This is dataset contains 1,673 Faroese-to-English parallel sentences generated by GPT-4. The Faroese text is blog text from the Basic Language Resource Kit for Faroese 1.0 text corpus.
In addition to the parallel sentences, the dataset contains a column with a quality report made by GPT-4 in which it describes the cha... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
c8a783a19b7e14bf31a0c40b5bce757e8c2c987e | ##MedQA Ethics
This dataset is an amalgam of two:
- yc4142/ethics-CoT
- keivalya/MedQuad-MedicalQnADataset
...with a smattering of something close to this, but uncensored:
- nRuaif/wizard_alpaca_dolly_orca
Reasoning is thus:
- Medical datasets must be closely tied to ethics, from inception.
- Wiz/Dol/Paca/Orc lends... | jtatman/medquad-medicalqa-wizdolalpaca-instruct | [
"region:us"
] | 2024-01-03T17:37:00+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "system", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76066911.30719037, "num_examples": 48452}], "download_size": 38181130, "dataset_size":... | 2024-01-04T09:51:58+00:00 | [] | [] | TAGS
#region-us
| ##MedQA Ethics
This dataset is an amalgam of two:
- yc4142/ethics-CoT
- keivalya/MedQuad-MedicalQnADataset
...with a smattering of something close to this, but uncensored:
- nRuaif/wizard_alpaca_dolly_orca
Reasoning is thus:
- Medical datasets must be closely tied to ethics, from inception.
- Wiz/Dol/Paca/Orc lends... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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5e122c8e84cdccc4bafdff9d9c1799a308c8b6ea | # AstroClassification and Redshifts Augmented Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset was used in the fine-tuning with targeted augmentations step for the AstroClassification and Redshifts tasks introduced in [Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentation... | helenqu/astro-classification-redshifts-augmented | [
"license:mit",
"region:us"
] | 2024-01-03T17:50:29+00:00 | {"license": "mit"} | 2024-01-03T18:04:57+00:00 | [] | [] | TAGS
#license-mit #region-us
| # AstroClassification and Redshifts Augmented Dataset
This dataset was used in the fine-tuning with targeted augmentations step for the AstroClassification and Redshifts tasks introduced in [Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations](). This is a dataset of simulated astronomica... | [
"# AstroClassification and Redshifts Augmented Dataset\n\n\n\nThis dataset was used in the fine-tuning with targeted augmentations step for the AstroClassification and Redshifts tasks introduced in [Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations](). This is a dataset of simulated as... | [
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f05d7cdd9a4a0ae594ca6e5a59e25eca0aab27ab | This is dataset contains 3,735 Faroese-to-English parallel sentences generated by GPT-4. The Faroese text is news text from the Basic Language Resource Kit for Faroese 1.0 text corpus.
In addition to the parallel sentences, the dataset contains a column with a quality report made by GPT-4 in which it describes the cha... | AnnikaSimonsen/GPT-4_FO-EN_parallel_news_sentences | [
"region:us"
] | 2024-01-03T17:53:02+00:00 | {} | 2024-01-03T17:58:09+00:00 | [] | [] | TAGS
#region-us
| This is dataset contains 3,735 Faroese-to-English parallel sentences generated by GPT-4. The Faroese text is news text from the Basic Language Resource Kit for Faroese 1.0 text corpus.
In addition to the parallel sentences, the dataset contains a column with a quality report made by GPT-4 in which it describes the cha... | [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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f60bac46a542f4383d739e5350cd23c2dfba4455 | Translated with googletrans==3.1.0a0 from original dataset
*part of the data (up to 600) was lost during the translation
---
license: apache-2.0
--- | daqc/databricks-dolly-15k-es | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:es",
"license:apache-2.0",
"dolly",
"llm",
"databricks",
"text-generation",
"region:us"
] | 2024-01-03T18:13:28+00:00 | {"language": ["es"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "tags": ["dolly", "llm", "databricks", "text-generation"]} | 2024-01-03T18:25:33+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-Spanish #license-apache-2.0 #dolly #llm #databricks #text-generation #region-us
| Translated with googletrans==3.1.0a0 from original dataset
*part of the data (up to 600) was lost during the translation
---
license: apache-2.0
--- | [] | [
"TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-Spanish #license-apache-2.0 #dolly #llm #databricks #text-generation #region-us \n"
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] |
ab7b3542b9d3c55ce0f8847fed1a749f30623262 | Synthetic data designed as prompts for generating embeddings training data for retrieval.
The "iteration" column refers to how the data was generated.
Iteration 1: Use the following pool of seed tasks, prompt GPT-3.5-Turbo to generate additional tasks.
```python
RETRIEVAL_EXAMPLES = [
'Provide a scientific claim as... | andersonbcdefg/synthetic_retrieval_tasks | [
"license:mit",
"synthetic",
"region:us"
] | 2024-01-03T18:18:43+00:00 | {"license": "mit", "tags": ["synthetic"]} | 2024-02-03T04:30:28+00:00 | [] | [] | TAGS
#license-mit #synthetic #region-us
| Synthetic data designed as prompts for generating embeddings training data for retrieval.
The "iteration" column refers to how the data was generated.
Iteration 1: Use the following pool of seed tasks, prompt GPT-3.5-Turbo to generate additional tasks.
Iteration 2: Use the ~40,000 tasks generated in Iteration 1 as ... | [] | [
"TAGS\n#license-mit #synthetic #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-mit #synthetic #region-us \n"
] |
a0315c234866242279b66e9c5372ae33f29f818c | # Dataset Card for "squad_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | textminr/squad_v2 | [
"region:us"
] | 2024-01-03T18:23:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "text... | 2024-01-04T19:51:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_v2"
More Information needed | [
"# Dataset Card for \"squad_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"squad_v2\"\n\nMore Information needed"
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33c028585b647ec54032e48843aef98e914dd9ad |
This dataset was generated using [TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ](https://huggingface.co/TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ)
The goal is to generate a better structured text from a given source, on a RAG context.
For each input, this prompt was executed through the model:
```plaintext
Context:
$INPUT
... | cnmoro/Text_Structuring_SOLAR_10.7B_Distilled | [
"task_categories:summarization",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] | 2024-01-03T18:27:49+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["summarization"], "pretty_name": "text structuring"} | 2024-01-06T03:49:49+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #size_categories-100K<n<1M #language-English #license-mit #region-us
|
This dataset was generated using TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ
The goal is to generate a better structured text from a given source, on a RAG context.
For each input, this prompt was executed through the model:
This is a summarization of sorts, but it breaks down the information in a more organized form.... | [] | [
"TAGS\n#task_categories-summarization #size_categories-100K<n<1M #language-English #license-mit #region-us \n"
] | [
37
] | [
"passage: TAGS\n#task_categories-summarization #size_categories-100K<n<1M #language-English #license-mit #region-us \n"
] |
bd66826f945e1a9409005ae8f84a4edaf0d5336e | Collect images from https://gelbooru.com/
id range:0~9393795
encoding: UTF-8
search tags:"-animated -3d_(artwork) -webm -gif -video -real_life -comic -photo_(medium)"
max shortest edge size ==1536 ,save using .webp with 90%quality
The total number search iamges is 8364374, filtered out 18832.
image not in it:
... | NebulaeWis/gelbooru_images | [
"task_categories:text-to-image",
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | 2024-01-03T18:31:43+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "task_categories": ["text-to-image"], "pretty_name": "gelbooru"} | 2024-01-10T02:57:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #size_categories-1M<n<10M #language-English #region-us
| Collect images from URL
id range:0~9393795
encoding: UTF-8
search tags:"-animated -3d_(artwork) -webm -gif -video -real_life -comic -photo_(medium)"
max shortest edge size ==1536 ,save using .webp with 90%quality
The total number search iamges is 8364374, filtered out 18832.
image not in it:
gif/video
... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-1M<n<10M #language-English #region-us \n"
] | [
34
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-1M<n<10M #language-English #region-us \n"
] |
19255b15c8eebfeaa558b5b4d5ee9af4c34da415 |
This dataset presents a collection of U.S. news headlines between 2019 and 2022 from Twitter and Facebook, with automatic annotations and human verifications. For more details on the methodology and annotation process, please refer to our paper {News Gathering: Leveraging Transformers to Rank News}.
## Attributes:
T... | cmunhozc/usa_news_en | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"CENIA",
"News",
"region:us"
] | 2024-01-03T18:36:30+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "tags": ["CENIA", "News"]} | 2024-01-03T20:04:46+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-English #license-mit #CENIA #News #region-us
|
This dataset presents a collection of U.S. news headlines between 2019 and 2022 from Twitter and Facebook, with automatic annotations and human verifications. For more details on the methodology and annotation process, please refer to our paper {News Gathering: Leveraging Transformers to Rank News}.
## Attributes:
T... | [
"## Attributes:\n\nThis dataset comprises five attributes: the first corresponds to \"Headlines 1,\" the second to \"Headlines 2,\" the third to the \"target\" variable {0, 1}, the fourth is related to the \"split\" {train, validation, test}, and finally, the fifth attribute indicates the \"type\" {soft label, huma... | [
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4a8d20aa3eb977cb1b9c5ecd54df99edb2662f76 | dataset_info:
download_size: 455.989186 Mb # Total download size in bytes
# TV Channel Transcriptions
This dataset was transcribed with a whisper-large v2 model from the streams of TV channels, for research purposes.
[Project site](https://rtlm.info/)
## Data Overview
The dataset contains a zip file for each ch... | format37/rtlm | [
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"language:ru",
"language:be",
"language:uk",
"license:cc-by-nc-2.0",
"sociology",
"region:us"
] | 2024-01-03T19:03:51+00:00 | {"language": ["ru", "be", "uk"], "license": "cc-by-nc-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "rtlm", "tags": ["sociology"]} | 2024-01-03T21:06:11+00:00 | [] | [
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#task_categories-text-classification #size_categories-10K<n<100K #language-Russian #language-Belarusian #language-Ukrainian #license-cc-by-nc-2.0 #sociology #region-us
| dataset_info:
download_size: 455.989186 Mb # Total download size in bytes
# TV Channel Transcriptions
This dataset was transcribed with a whisper-large v2 model from the streams of TV channels, for research purposes.
Project site
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0c9ef8ab937c232a67427e557f7b85ddfc0866d5 | # Dataset Card for "curated-conversations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/curated-conversations | [
"region:us"
] | 2024-01-03T19:08:05+00:00 | {"dataset_info": {"features": [{"name": "conversation", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 1495505, "num_examples": 529}], "download_size": 804743, "dataset_size": 1495505}, "configs": [{"config_name": "default", "data_files... | 2024-01-03T19:08:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "curated-conversations"
More Information needed | [
"# Dataset Card for \"curated-conversations\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"curated-conversations\"\n\nMore Information needed"
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d7c45d08274b20abdfb7c7dacba1c350256c95ad | # Dataset Card for "platypus-templated-ia-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sordonia/platypus-templated-ia-flat | [
"region:us"
] | 2024-01-03T20:01:45+00:00 | {"dataset_info": {"features": [{"name": "split", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "task_source", "dtype": "string"}, {"name": "task_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31654017, "num_examples": 24926}], "download... | 2024-01-03T20:02:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "platypus-templated-ia-flat"
More Information needed | [
"# Dataset Card for \"platypus-templated-ia-flat\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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80493acad8f240aaac3560cf17bb2fe85d320de8 | # Dataset Card for "ultrachat-templated-ia-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sordonia/ultrachat-templated-ia-flat | [
"region:us"
] | 2024-01-03T20:05:55+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "task_source", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 742393824, "num_examples": 320000}], "downlo... | 2024-01-03T20:06:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrachat-templated-ia-flat"
More Information needed | [
"# Dataset Card for \"ultrachat-templated-ia-flat\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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dd7baef5abe1b7224140d2a1f175c1ae5411eac9 |
1024x1024px PNG encoded, scale=0.1, roughness=1.0
each map was then processed with 100 iterations of rain erosion simulation (e99 directory)
for further explanation please see https://en.wikipedia.org/wiki/Diamond-square_algorithm
The idea was first introduced by Fournier, Fussell and Carpenter at SIGGRAPH in 1982
... | TashaSkyUp/random_midpoint_displacement_fractal | [
"size_categories:n<1K",
"license:mit",
"region:us"
] | 2024-01-03T20:06:12+00:00 | {"license": "mit", "size_categories": ["n<1K"], "pretty_name": "random midpoint displacement fractal images 1024x1024 png"} | 2024-01-03T20:46:34+00:00 | [] | [] | TAGS
#size_categories-n<1K #license-mit #region-us
|
1024x1024px PNG encoded, scale=0.1, roughness=1.0
each map was then processed with 100 iterations of rain erosion simulation (e99 directory)
for further explanation please see URL
The idea was first introduced by Fournier, Fussell and Carpenter at SIGGRAPH in 1982
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"TAGS\n#size_categories-n<1K #license-mit #region-us \n"
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21
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10ff0cfd52fb45a8dda6292448c49253093c1d9d | # Dataset Card for "mbpp-templated-ia-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sordonia/mbpp-templated-ia-flat | [
"region:us"
] | 2024-01-03T20:18:59+00:00 | {"dataset_info": {"features": [{"name": "task_id", "dtype": "int32"}, {"name": "source", "dtype": "string"}, {"name": "task_source", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23496... | 2024-01-03T20:36:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mbpp-templated-ia-flat"
More Information needed | [
"# Dataset Card for \"mbpp-templated-ia-flat\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mbpp-templated-ia-flat\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"mbpp-templated-ia-flat\"\n\nMore Information needed"
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fda6e778ba46ecbbeac90dd5725ec58a61e3c29a | # Dataset Card for "adauni-templated-reduced-ia-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sordonia/adauni-templated-reduced-ia-flat | [
"region:us"
] | 2024-01-03T20:33:22+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "task_source", "dtype": "string"}, {"name": "template_type", "dtype": "string"}, {"name": "template_idx", "dtype": "int64"}, {"name": "split", "dtype": "string"... | 2024-01-04T15:29:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "adauni-templated-reduced-ia-flat"
More Information needed | [
"# Dataset Card for \"adauni-templated-reduced-ia-flat\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"adauni-templated-reduced-ia-flat\"\n\nMore Information needed"
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dac22056a29e4bead52450b974e593baffae45b0 |
This dataset comprises converted version of the Global Mosaic of Geostationary Images from NOAA on AWS, which stitches together geostationary imagery every hour for a snapshot of
nearly the entire world in 5 bands, and at a 8km resolution. The original NetCDF files were converted to Zarr and concatenated along the ti... | jacobbieker/global-mosaic-of-geostationary-images | [
"size_categories:1K<n<10K",
"license:mit",
"climate",
"doi:10.57967/hf/1646",
"region:us"
] | 2024-01-03T21:48:17+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "pretty_name": "Global Mosaic of Geostationary Images", "tags": ["climate"]} | 2024-02-17T16:35:25+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #climate #doi-10.57967/hf/1646 #region-us
|
This dataset comprises converted version of the Global Mosaic of Geostationary Images from NOAA on AWS, which stitches together geostationary imagery every hour for a snapshot of
nearly the entire world in 5 bands, and at a 8km resolution. The original NetCDF files were converted to Zarr and concatenated along the ti... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #climate #doi-10.57967/hf/1646 #region-us \n"
] | [
39
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #climate #doi-10.57967/hf/1646 #region-us \n"
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069e7604df6cfa4079f504db4e58fe38f85b9a5f | # Dataset Card for "arc_tr_s1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sezosan/arc_tr_s1 | [
"region:us"
] | 2024-01-03T22:19:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 86423.0, "num... | 2024-01-03T22:24:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arc_tr_s1"
More Information needed | [
"# Dataset Card for \"arc_tr_s1\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"arc_tr_s1\"\n\nMore Information needed"
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