sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
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7b4522928061cf773aafb1e763bf20b851bc9477 | ## Description
14,980 Images PPT OCR Data of 8 Languages. This dataset includes 8 languages, multiple scenes, different photographic angles, different photographic distances, different light conditions. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in th... | Nexdata/PPT_OCR_Data_of_8_Languages | [
"license:cc-by-nc-4.0",
"region:us"
] | 2024-02-04T09:28:23+00:00 | {"license": "cc-by-nc-4.0"} | 2024-02-04T10:05:15+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
| ## Description
14,980 Images PPT OCR Data of 8 Languages. This dataset includes 8 languages, multiple scenes, different photographic angles, different photographic distances, different light conditions. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in th... | [
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d38953ba7676c13aaa40ef2813fd971e5767ae94 |
# Dataset Card for Evaluation run of Kquant03/Cognito-2x7B-bf16
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Kquant03/Cognito-2x7B-bf16](https://huggingface.co/Kquant03/Cognito-2x7B-bf16) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_Kquant03__Cognito-2x7B-bf16 | [
"region:us"
] | 2024-02-04T09:28:39+00:00 | {"pretty_name": "Evaluation run of Kquant03/Cognito-2x7B-bf16", "dataset_summary": "Dataset automatically created during the evaluation run of model [Kquant03/Cognito-2x7B-bf16](https://huggingface.co/Kquant03/Cognito-2x7B-bf16) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2024-02-04T09:29:05+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of Kquant03/Cognito-2x7B-bf16
Dataset automatically created during the evaluation run of model Kquant03/Cognito-2x7B-bf16 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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a06891b0e598f98d0343fab0cf058f54722008f0 | ## Description
46,695 Images- Household Waste Data.The data includes multiple types of waste, multiple scenes. This data set can be used for tasks such as object detection, classification, and recognition.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1030?source=Huggingface
## Date siz... | Nexdata/Household_Waste_Data | [
"license:cc-by-nc-4.0",
"region:us"
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#license-cc-by-nc-4.0 #region-us
| ## Description
46,695 Images- Household Waste Data.The data includes multiple types of waste, multiple scenes. This data set can be used for tasks such as object detection, classification, and recognition.
For more details, please refer to the link: URL
## Date size
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# Dataset Card for Evaluation run of alchemonaut/QuartetAnemoi-70B-t0.0001
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [alchemonaut/QuartetAnemoi-70B-t0.0001](https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_alchemonaut__QuartetAnemoi-70B-t0.0001 | [
"region:us"
] | 2024-02-04T09:35:49+00:00 | {"pretty_name": "Evaluation run of alchemonaut/QuartetAnemoi-70B-t0.0001", "dataset_summary": "Dataset automatically created during the evaluation run of model [alchemonaut/QuartetAnemoi-70B-t0.0001](https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2024-02-04T09:36:10+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of alchemonaut/QuartetAnemoi-70B-t0.0001
Dataset automatically created during the evaluation run of model alchemonaut/QuartetAnemoi-70B-t0.0001 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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48ec88951f9292a3aae5c4d870148f07d601fd35 | ## Description
180,718 Images - Sign Language Gestures Recognition Data. The data diversity includes multiple scenes, 41 static gestures, 95 dynamic gestures, multiple photographic angles, and multiple light conditions. In terms of data annotation, 21 landmarks, gesture types, and gesture attributes were annotated. Thi... | Nexdata/Sign_Language_Gestures_Recognition_Data | [
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| ## Description
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355dd1de41a39f09deb1002d01982a543508aa8f | # Dataset for "Discharge Me!"
Welcome to the dataset for "Discharge Me!", the BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation.
For information about the shared task, please visit the [Codabench Challenge Website](https://www.codabench.org/competitions/1975/) or the [GitHub Page](https://stanford-aim... | justin13601/discharge-me | [
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"medical",
"region:us"
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| # Dataset for "Discharge Me!"
Welcome to the dataset for "Discharge Me!", the BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation.
For information about the shared task, please visit the Codabench Challenge Website or the GitHub Page.
The dataset for this shared task is based off the MIMIC-IV dataset... | [
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# Dataset Card for Evaluation run of kevin009/flyingllama-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kevin009/flyingllama-v2](https://huggingface.co/kevin009/flyingllama-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingF... | open-llm-leaderboard/details_kevin009__flyingllama-v2 | [
"region:us"
] | 2024-02-04T09:41:53+00:00 | {"pretty_name": "Evaluation run of kevin009/flyingllama-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [kevin009/flyingllama-v2](https://huggingface.co/kevin009/flyingllama-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\n... | 2024-02-04T09:42:17+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of kevin009/flyingllama-v2
Dataset automatically created during the evaluation run of model kevin009/flyingllama-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 ru... | [
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### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset.
IndicSentiment is a multilingual parallel dataset for sentiment analys... | el2e10/aya-indicsentiment | [
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### Description
This dataset is derived from the already existing dataset made by AI4Bharat. We have used the IndicSentiment dataset of AI4Bharat to create an instruction style dataset.
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The text output flagging dataset of:
https://huggingface.co/spaces/Pendrokar/DeepMoji | Pendrokar/crowdsourced-deepmoji-flags | [
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# Dataset Card for Evaluation run of kevin009/TinyNaughtyLlama-v1.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kevin009/TinyNaughtyLlama-v1.0](https://huggingface.co/kevin009/TinyNaughtyLlama-v1.0) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_kevin009__TinyNaughtyLlama-v1.0 | [
"region:us"
] | 2024-02-04T09:56:16+00:00 | {"pretty_name": "Evaluation run of kevin009/TinyNaughtyLlama-v1.0", "dataset_summary": "Dataset automatically created during the evaluation run of model [kevin009/TinyNaughtyLlama-v1.0](https://huggingface.co/kevin009/TinyNaughtyLlama-v1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-02-04T09:56:37+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kevin009/TinyNaughtyLlama-v1.0
Dataset automatically created during the evaluation run of model kevin009/TinyNaughtyLlama-v1.0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been cre... | [
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5c1ff49af3cf9b80e6648970490612ab101db92e | # Dataset Card for "pokemon_caption_data_chatgpt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SminC/pokemon_caption_data_chatgpt | [
"region:us"
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| # Dataset Card for "pokemon_caption_data_chatgpt"
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# Evol-Instruct-Code-80k-v1
This is a cleansed version of [nickrosh/Evol-Instruct-Code-80k-v1](https://huggingface.co/datasets/nickrosh/Evol-Instruct-Code-80k-v1)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/Evol-Instruct-Code-80k-v1", split="train")
``` | Sharathhebbar24/Evol-Instruct-Code-80k-v1 | [
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|
# Evol-Instruct-Code-80k-v1
This is a cleansed version of nickrosh/Evol-Instruct-Code-80k-v1
## Usage
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"passage: TAGS\n#task_categories-conversational #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #code #region-us \n# Evol-Instruct-Code-80k-v1\n\nThis is a cleansed version of nickrosh/Evol-Instruct-Code-80k-v1## Usage"
] |
ec332798f158c523d1e0c69bda7adbd08a1bb1b4 | # Dataset Card for PochtaMarket products
### Dataset Summary
This dataset was scraped from product pages on the Russian marketplace [PochtaMarket](https://market.pochta.ru). It includes all information from the product card. The dataset was collected by processing around 500 thousand, starting from the first one. At ... | nyuuzyou/PM-products | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ru",
"license:cc0-1.0",
"region:us"
] | 2024-02-04T11:44:58+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ru"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": ... | 2024-02-04T11:45:50+00:00 | [] | [
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| # Dataset Card for PochtaMarket products
### Dataset Summary
This dataset was scraped from product pages on the Russian marketplace PochtaMarket. It includes all information from the product card. The dataset was collected by processing around 500 thousand, starting from the first one. At the time the dataset was col... | [
"# Dataset Card for PochtaMarket products",
"### Dataset Summary\n\nThis dataset was scraped from product pages on the Russian marketplace PochtaMarket. It includes all information from the product card. The dataset was collected by processing around 500 thousand, starting from the first one. At the time the data... | [
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e474e780d4e2ec1b1fc248a5ca801f3adc8db3aa | # janitorai-cards
This dataset contains 190k cards that I received from janitorai, from a source that wished to remain anonymous.
My addition to this data is conversion of cards to [v2 character card](https://github.com/malfoyslastname/character-card-spec-v2/blob/main/README.md) format, and a local webpage that can b... | AUTOMATIC/jaicards | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"license:mit",
"region:us"
] | 2024-02-04T12:38:52+00:00 | {"license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["conversational", "text-generation"]} | 2024-02-04T13:48:48+00:00 | [] | [] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-100K<n<1M #license-mit #region-us
| # janitorai-cards
This dataset contains 190k cards that I received from janitorai, from a source that wished to remain anonymous.
My addition to this data is conversion of cards to v2 character card format, and a local webpage that can be used to explore the dataset.
### Webpage

Ther webpage lets you brow... | [
"# janitorai-cards\n\nThis dataset contains 190k cards that I received from janitorai, from a source that wished to remain anonymous.\n\nMy addition to this data is conversion of cards to v2 character card format, and a local webpage that can be used to explore the dataset.",
"### Webpage\n\n\n\nTher webp... | [
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5044fe93a4045eae6b56346a898dc89b18b2b11c |
# SQL Code
This is a cleansed version of [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/sql-create-context", split="train")
``` | Sharathhebbar24/sql-create-context | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"code",
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] | 2024-02-04T13:49:54+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["conversational", "text-generation"], "pretty_name": "sql", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19952977, "num_examples": 78577}], "download_si... | 2024-02-04T14:02:33+00:00 | [] | [
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#task_categories-conversational #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #code #region-us
|
# SQL Code
This is a cleansed version of b-mc2/sql-create-context
## Usage
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] |
e6dc27c8ff525664c39c3bbeb2e900b453d832af |
# Dataset Card for Dataset Name
This dataset was created to train a model that generates diverse image generation prompts from simple Japanese descriptions.
## Dataset Details
### Dataset Description
[STAIR Captions](https://github.com/STAIR-Lab-CIT/STAIR-captions) + [Microsoft COCO Caption](https://github.com/tyl... | taoki/stair-captions-prompts | [
"license:cc-by-4.0",
"region:us"
] | 2024-02-04T14:06:01+00:00 | {"license": "cc-by-4.0", "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "file_name", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30613024, "num_examples": 82783}, {"name": "validation", "num_b... | 2024-02-04T14:26:16+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Dataset Card for Dataset Name
This dataset was created to train a model that generates diverse image generation prompts from simple Japanese descriptions.
## Dataset Details
### Dataset Description
STAIR Captions + Microsoft COCO Caption + Microsoft COCO Images caption interpreted by UForm
This dataset was cre... | [
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8df2cc45aca9f5aac993086fe9dc3fcf6fc0aa66 |
# Open Platypus Code
This is a cleansed version of [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/Open-Platypus", split="train")
``` | Sharathhebbar24/Open-Platypus | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"math",
"region:us"
] | 2024-02-04T14:23:02+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31874014, "num_examples": 24926}], "download_size": 15340673, "dataset_size": 31874014}... | 2024-02-04T14:27:21+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #math #region-us
|
# Open Platypus Code
This is a cleansed version of garage-bAInd/Open-Platypus
## Usage
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] |
7f60e9fa9b5a76ded5e6cd2cf52c841382dbca2b | # Code-Golang-QA-2k
This (small) dataset comprises 2,000 question-and-answer entries related to the Go programming language. It is designed to serve as a resource for individuals looking to enhance machine learning models, create chatbots, or simply to provide a comprehensive knowledge base for developers working with... | ExAi/Code-Golang-QA-2k | [
"size_categories:1K<n<10K",
"license:apache-2.0",
"Golang",
"Code",
"Go",
"QA",
"region:us"
] | 2024-02-04T14:52:06+00:00 | {"license": "apache-2.0", "size_categories": ["1K<n<10K"], "tags": ["Golang", "Code", "Go", "QA"]} | 2024-02-04T16:57:34+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-apache-2.0 #Golang #Code #Go #QA #region-us
| # Code-Golang-QA-2k
This (small) dataset comprises 2,000 question-and-answer entries related to the Go programming language. It is designed to serve as a resource for individuals looking to enhance machine learning models, create chatbots, or simply to provide a comprehensive knowledge base for developers working with... | [
"# Code-Golang-QA-2k\n\nThis (small) dataset comprises 2,000 question-and-answer entries related to the Go programming language. It is designed to serve as a resource for individuals looking to enhance machine learning models, create chatbots, or simply to provide a comprehensive knowledge base for developers worki... | [
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ac0938bac71c51336e55784616442602c33565fc | _**Algorithm_and_Python_Source_Code**_ <br />
This dataset provides different algorithms and their corresponding source code in Python. <br /> <br />
credits: Source codes given here are taken from "iamtarun/python_code_instructions_18k_alpaca" dataset in Hugging Face. | ananyarn/Algorithm_and_Python_Source_Code | [
"language:en",
"license:apache-2.0",
"Python",
"Code Generation",
"Algorithm",
"Pseudo-code",
"Source Code",
"Programmming",
"Python Programming",
"region:us"
] | 2024-02-04T14:58:56+00:00 | {"language": ["en"], "license": "apache-2.0", "tags": ["Python", "Code Generation", "Algorithm", "Pseudo-code", "Source Code", "Programmming", "Python Programming"]} | 2024-02-05T08:28:02+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #Python #Code Generation #Algorithm #Pseudo-code #Source Code #Programmming #Python Programming #region-us
| _Algorithm_and_Python_Source_Code_ <br />
This dataset provides different algorithms and their corresponding source code in Python. <br /> <br />
credits: Source codes given here are taken from "iamtarun/python_code_instructions_18k_alpaca" dataset in Hugging Face. | [] | [
"TAGS\n#language-English #license-apache-2.0 #Python #Code Generation #Algorithm #Pseudo-code #Source Code #Programmming #Python Programming #region-us \n"
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71a1d75490d001a5d48b8e2b8f739211c61794b1 | # Dataset Card for "target-elements-0.2split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | McSpicyWithMilo/target-elements-0.2split | [
"region:us"
] | 2024-02-04T15:15:50+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "target_element", "dtype": "string"}, {"name": "instruction_type", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36440.0, "num_examples": 320}, {"name": "test", "num_bytes": 9110.0, "num_examples": 80}], "download_size"... | 2024-02-04T15:16:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "target-elements-0.2split"
More Information needed | [
"# Dataset Card for \"target-elements-0.2split\"\n\nMore Information needed"
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a895a2147899a4805f2c7c144eff123ce175d9af | # Dataset Card for "target-elements-0.3split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | McSpicyWithMilo/target-elements-0.3split | [
"region:us"
] | 2024-02-04T15:17:40+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "target_element", "dtype": "string"}, {"name": "instruction_type", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31885.0, "num_examples": 280}, {"name": "test", "num_bytes": 13665.0, "num_examples": 120}], "download_siz... | 2024-02-04T15:17:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "target-elements-0.3split"
More Information needed | [
"# Dataset Card for \"target-elements-0.3split\"\n\nMore Information needed"
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3ff61810b1822b1752e2e5454983daca2039bb37 |
if you guys find any errors please contribute
we are very open to it!
| AiHevenpen/rmvpe | [
"language:en",
"license:apache-2.0",
"music",
"code",
"region:us"
] | 2024-02-04T15:19:10+00:00 | {"language": ["en"], "license": "apache-2.0", "pretty_name": "RMVPE V2", "tags": ["music", "code"]} | 2024-02-04T15:41:58+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #music #code #region-us
|
if you guys find any errors please contribute
we are very open to it!
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915349a473f4600a1fe3962cf82f4a79b40294ad | # Dataset Card for "random25eof_find_passage_train1000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train1000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:30:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 298700, "num... | 2024-02-04T15:44:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train1000_eval1000_rare"
More Information needed | [
"# Dataset Card for \"random25eof_find_passage_train1000_eval1000_rare\"\n\nMore Information needed"
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f930cae1e18d3f998cf81723db4aa0b00f6d3ce2 | # Dataset Card for "random25eof_find_passage_train5000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train5000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:31:01+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1132624, "nu... | 2024-02-04T15:44:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train5000_eval1000_rare"
More Information needed | [
"# Dataset Card for \"random25eof_find_passage_train5000_eval1000_rare\"\n\nMore Information needed"
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d40f007d08d52d168814df74aa6ccafe9e5d70b0 | # Dataset Card for "random25eof_find_passage_train10000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train10000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:31:09+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2174452, "nu... | 2024-02-04T15:44:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train10000_eval1000_rare"
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d46ea947d7354f0116b6d805d59efa49032edb6a | # Dataset Card for "random25eof_find_passage_train50000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train50000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:31:21+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10511158, "n... | 2024-02-04T15:44:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train50000_eval1000_rare"
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"passage: TAGS\n#region-us \n# Dataset Card for \"random25eof_find_passage_train50000_eval1000_rare\"\n\nMore Information needed"
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a7a71283bdd6cb3b4f00f5836718ade643737ca6 | # Dataset Card for "random25eof_find_passage_train100000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train100000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:31:34+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20932934, "n... | 2024-02-04T15:44:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train100000_eval1000_rare"
More Information needed | [
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83bb4884f1a04979a3e797ddb0d6494eb760a57b | # Dataset Card for "random25eof_find_passage_train500000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train500000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:31:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 104305810, "... | 2024-02-04T15:44:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train500000_eval1000_rare"
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88bca36cff5a8a53062633254346aefe406c7711 | # Dataset Card for "random25eof_find_passage_train1000000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train1000000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:32:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 208524730, "... | 2024-02-04T15:44:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train1000000_eval1000_rare"
More Information needed | [
"# Dataset Card for \"random25eof_find_passage_train1000000_eval1000_rare\"\n\nMore Information needed"
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b020992ef4c91aeecdc894d788e4daa935114817 | # Dataset Card for "random25eof_find_passage_train5000000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train5000000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:32:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1042263000, ... | 2024-02-04T15:45:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train5000000_eval1000_rare"
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3b35e9e80caf6dd920187c805037d922c7eea2b9 | # Dataset Card for "random25eof_find_passage_train10000000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train10000000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:33:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2084437584, ... | 2024-02-04T15:45:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train10000000_eval1000_rare"
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a85c190d9ef0b126bc5646ccde590ea69ab510af | # Dataset Card for "random25eof_find_passage_train50000000_eval1000_rare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/random25eof_find_passage_train50000000_eval1000_rare | [
"region:us"
] | 2024-02-04T15:35:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10421821954,... | 2024-02-04T15:47:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "random25eof_find_passage_train50000000_eval1000_rare"
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7cd0ac6f3aaf26fd69babc94ae320afea8e12e17 | # Examining LLM Quantization Impact
This document is a comparative analysis of qualitative performance degradation across Llama.cpp quantization within a single 2x7B model. My hope is that it will help people unfamiliar with quant impacts get a sense of how quantization will affect output.
## Headings
1. [Quants](#qu... | christopherthompson81/quant_exploration | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"license:gpl-2.0",
"region:us"
] | 2024-02-04T15:42:51+00:00 | {"language": ["en"], "license": "gpl-2.0", "size_categories": ["n<1K"], "task_categories": ["text-generation"], "pretty_name": "Examining LLM Quantization Impact"} | 2024-02-06T21:47:29+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-n<1K #language-English #license-gpl-2.0 #region-us
| Examining LLM Quantization Impact
=================================
This document is a comparative analysis of qualitative performance degradation across URL quantization within a single 2x7B model. My hope is that it will help people unfamiliar with quant impacts get a sense of how quantization will affect output.
... | [
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6d0770e9e5289d0b37a4483cafe87ad9cbae1fac |
Merge of [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5) and [ise-uiuc/Magicoder-Evol-Instruct-110K](https://huggingface.co/datasets/ise-uiuc/Magicoder-Evol-Instruct-110K) in chatml format for training. Filtered to only have max 2048 tokens. | eastwind/open_hermes_2.5_magicoder_evol_instruct_chatml | [
"language:en",
"region:us"
] | 2024-02-04T16:15:32+00:00 | {"language": ["en"], "pretty_name": "OpenHermes 2.5 + MagiCoder Evol Instruct 110k", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1881174958.136154, "num_examples": 1103225}], "download_size": 958650488, "dataset_size... | 2024-02-04T17:09:47+00:00 | [] | [
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#language-English #region-us
|
Merge of teknium/OpenHermes-2.5 and ise-uiuc/Magicoder-Evol-Instruct-110K in chatml format for training. Filtered to only have max 2048 tokens. | [] | [
"TAGS\n#language-English #region-us \n"
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c11b6b1603c055f8c7c529f42cb1cac672da20c4 | # 945 rows of Alpaca
source https://huggingface.co/datasets/tatsu-lab/alpaca | InnerI/945-alpaca | [
"license:cc-by-nc-4.0",
"region:us"
] | 2024-02-04T16:23:53+00:00 | {"license": "cc-by-nc-4.0"} | 2024-02-04T16:26:01+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
| # 945 rows of Alpaca
source URL | [
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afdac011e920c4a76e19b4ae6c88b53f757db07b | This work is part of [DODa](https://darija-open-dataset.github.io/).
| imomayiz/darija-english | [
"task_categories:translation",
"language:ar",
"language:en",
"license:cc",
"region:us"
] | 2024-02-04T16:33:09+00:00 | {"language": ["ar", "en"], "license": "cc", "task_categories": ["translation"], "configs": [{"config_name": "sentences", "data_files": [{"split": "sentences", "path": "sentences/sentences.csv"}]}, {"config_name": "submissions", "data_files": [{"split": "submissions", "path": "submissions/submissions*.json"}]}]} | 2024-02-17T07:29:19+00:00 | [] | [
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#task_categories-translation #language-Arabic #language-English #license-cc #region-us
| This work is part of DODa.
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92fbb834fcdbd952e9563a1451baaecefb4e25ba | # Dataset Card for Dataset Name
Dataset Summary (Taken from Piqa)
To apply eyeshadow without a brush, should I use a cotton swab or a toothpick? Questions requiring this kind of physical commonsense pose a challenge to state-of-the-art natural language understanding systems. The PIQA dataset introduces the task of ph... | iitrsamrat/piqa_indic | [
"license:apache-2.0",
"region:us"
] | 2024-02-04T16:55:33+00:00 | {"license": "apache-2.0", "dataset_info": [{"config_name": "ben", "features": [{"name": "goal", "dtype": "string"}, {"name": "sol1", "dtype": "string"}, {"name": "sol2", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 10915667, "num_examples": 16113}, {"name": "valid"... | 2024-02-06T12:56:14+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Dataset Card for Dataset Name
Dataset Summary (Taken from Piqa)
To apply eyeshadow without a brush, should I use a cotton swab or a toothpick? Questions requiring this kind of physical commonsense pose a challenge to state-of-the-art natural language understanding systems. The PIQA dataset introduces the task of ph... | [
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2a37abe2be33c77060997b468bea1bb303638369 | # Code-Golang-QA-2k
This (small) dataset comprises ~1.8k dpo entries related to the Go programming language. It is designed to serve as a resource for individuals looking to enhance machine learning models, create chatbots, or simply to provide a comprehensive knowledge base for developers working with Go.
## Data Fo... | ExAi/Code-Golang-QA-2k-dpo | [
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"license:apache-2.0",
"Golang",
"Code",
"Go",
"QA",
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#size_categories-1K<n<10K #license-apache-2.0 #Golang #Code #Go #QA #region-us
| # Code-Golang-QA-2k
This (small) dataset comprises ~1.8k dpo entries related to the Go programming language. It is designed to serve as a resource for individuals looking to enhance machine learning models, create chatbots, or simply to provide a comprehensive knowledge base for developers working with Go.
## Data Fo... | [
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e25a0bb05ff2b5621067fa0cd76a7cd12a9d3e9e |
# Dataset Card for Evaluation run of Sharathhebbar24/code_gpt2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Sharathhebbar24/code_gpt2](https://huggingface.co/Sharathhebbar24/code_gpt2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hu... | open-llm-leaderboard/details_Sharathhebbar24__code_gpt2 | [
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] | 2024-02-04T16:59:50+00:00 | {"pretty_name": "Evaluation run of Sharathhebbar24/code_gpt2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Sharathhebbar24/code_gpt2](https://huggingface.co/Sharathhebbar24/code_gpt2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard... | 2024-02-04T17:00:13+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of Sharathhebbar24/code_gpt2
Dataset automatically created during the evaluation run of model Sharathhebbar24/code_gpt2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from ... | [
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c71f3033896b383f72069a4fc365b3c716c4129f |
* [CSGO.zip](CSGO.zip) - 10,397 Samples RGB
* [CSGO_PGM.zip](CSGO_PGM.zip) - 17,440 Samples Grayscale
I collected this dataset of 17,440 samples myself, initially manually and then assisted collection with automation but all images have been manually categorised.
[https://github.com/TFNN/DOCS/tree/main/DATASETS](htt... | tfnn/csgo-player-heads-28x28 | [
"license:mit",
"csgo",
"counter strike",
"cs2",
"counter-strike",
"region:us"
] | 2024-02-04T17:02:49+00:00 | {"license": "mit", "pretty_name": "CSGO Dataset of T&CT heads 28x28", "tags": ["csgo", "counter strike", "cs2", "counter-strike"]} | 2024-02-04T17:32:17+00:00 | [] | [] | TAGS
#license-mit #csgo #counter strike #cs2 #counter-strike #region-us
|
* URL - 10,397 Samples RGB
* CSGO_PGM.zip - 17,440 Samples Grayscale
I collected this dataset of 17,440 samples myself, initially manually and then assisted collection with automation but all images have been manually categorised.
URL | [] | [
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347f622942a65f082b1f3bf8444c1e9f24040b52 |
* [QUAKE3.zip](QUAKE3.zip) - 7,444 Samples RGB
I collected this dataset of 7,444 samples myself, initially manually and then assisted collection with automation but all images have been manually categorised.
[https://github.com/TFNN/DOCS/tree/main/DATASETS](https://github.com/TFNN/DOCS/tree/main/DATASETS)
| tfnn/quake3-aqua-bones-28x28 | [
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"quake3",
"ioquake3",
"quake3arena",
"teamarena",
"region:us"
] | 2024-02-04T17:05:23+00:00 | {"license": "mit", "pretty_name": "Quake 3 Arena Dataset of the Aqua Bones player model 28x28", "tags": ["quake3", "ioquake3", "quake3arena", "teamarena"]} | 2024-02-04T17:32:23+00:00 | [] | [] | TAGS
#license-mit #quake3 #ioquake3 #quake3arena #teamarena #region-us
|
* URL - 7,444 Samples RGB
I collected this dataset of 7,444 samples myself, initially manually and then assisted collection with automation but all images have been manually categorised.
URL
| [] | [
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28
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c3c7cc23ea2051f69d14dfef2044f58af2d1704f | license: unknown
---
| MarkrAI/triviaqa_sample_autorag | [
"region:us"
] | 2024-02-04T17:21:56+00:00 | {"configs": [{"config_name": "qa", "splits": [{"name": "train", "data_files": "qa_train.parquet"}, {"name": "test", "data_files": "qa_test.parquet"}]}, {"config_name": "corpus", "data_files": "corpus.parquet"}]} | 2024-02-05T14:44:08+00:00 | [] | [] | TAGS
#region-us
| license: unknown
---
| [] | [
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6
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2949f0e38f46f822eb005b949a48cf56ae6551d3 |
# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test](https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Reason... | open-llm-leaderboard/details_Josephgflowers__Tinyllama-1.3B-Cinder-Reason-Test | [
"region:us"
] | 2024-02-04T17:25:48+00:00 | {"pretty_name": "Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test", "dataset_summary": "Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test](https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test) on the [Open LLM Leaderbo... | 2024-02-04T17:26:09+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test
Dataset automatically created during the evaluation run of model Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
"# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test\n\n\n\nDataset automatically created during the evaluation run of model Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of... | [
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7760ba3f556b8baea8a61e369d5d5df6b5972a33 |
Help me, it is not working 😭
What is the syntax for using imatrix command?? It has to be .imatrix file? | Ji-Ha/deepseek-coder-7b-base-imatrix-wikitext | [
"license:apache-2.0",
"region:us"
] | 2024-02-04T17:30:16+00:00 | {"license": "apache-2.0"} | 2024-02-04T17:35:14+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Help me, it is not working
What is the syntax for using imatrix command?? It has to be .imatrix file? | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
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4dc62052cac9d3bfa3ff5db6e6abf112f5482e60 |
# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted](https://huggingface.co/sonthenguyen/Open... | open-llm-leaderboard/details_sonthenguyen__OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted | [
"region:us"
] | 2024-02-04T17:33:31+00:00 | {"pretty_name": "Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted", "dataset_summary": "Dataset automatically created during the evaluation run of model [sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted](https://huggingface.co/sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-D... | 2024-02-04T17:33:58+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted
Dataset automatically created during the evaluation run of model sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresp... | [
"# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted\n\n\n\nDataset automatically created during the evaluation run of model sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted\n\n\n\nDataset automatically created during the evaluation run of model sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-corrupted on the Open LLM Leaderboard.\n\nThe dataset is compose... |
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# Dataset Card for Evaluation run of kevin009/llamaRAGdrama
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kevin009/llamaRAGdrama](https://huggingface.co/kevin009/llamaRAGdrama) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_kevin009__llamaRAGdrama | [
"region:us"
] | 2024-02-04T17:34:34+00:00 | {"pretty_name": "Evaluation run of kevin009/llamaRAGdrama", "dataset_summary": "Dataset automatically created during the evaluation run of model [kevin009/llamaRAGdrama](https://huggingface.co/kevin009/llamaRAGdrama) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2024-02-04T17:34:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kevin009/llamaRAGdrama
Dataset automatically created during the evaluation run of model kevin009/llamaRAGdrama on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(... | [
"# Dataset Card for Evaluation run of kevin009/llamaRAGdrama\n\n\n\nDataset automatically created during the evaluation run of model kevin009/llamaRAGdrama on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created... | [
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"# Dataset Card for Evaluation run of kevin009/llamaRAGdrama\n\n\n\nDataset automatically created during the evaluation run of model kevin009/llamaRAGdrama on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe... | [
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ea8b729ef4b642433b86e5f064e73fdb3786ebbc |
# Dataset Card for Evaluation run of FelixChao/Faraday-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [FelixChao/Faraday-7B](https://huggingface.co/FelixChao/Faraday-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_FelixChao__Faraday-7B | [
"region:us"
] | 2024-02-04T17:36:00+00:00 | {"pretty_name": "Evaluation run of FelixChao/Faraday-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [FelixChao/Faraday-7B](https://huggingface.co/FelixChao/Faraday-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2024-02-05T08:17:02+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of FelixChao/Faraday-7B
Dataset automatically created during the evaluation run of model FelixChao/Faraday-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). ... | [
"# Dataset Card for Evaluation run of FelixChao/Faraday-7B\n\n\n\nDataset automatically created during the evaluation run of model FelixChao/Faraday-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created fro... | [
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"# Dataset Card for Evaluation run of FelixChao/Faraday-7B\n\n\n\nDataset automatically created during the evaluation run of model FelixChao/Faraday-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dat... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of FelixChao/Faraday-7B\n\n\n\nDataset automatically created during the evaluation run of model FelixChao/Faraday-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe ... |
48cd89e2fe91e82288ee91778f7db4a6f7fe82a8 |
# Dataset Card for Evaluation run of gmonsoon/MiaAffogato-Indo-Mistral-7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [gmonsoon/MiaAffogato-Indo-Mistral-7b](https://huggingface.co/gmonsoon/MiaAffogato-Indo-Mistral-7b) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_gmonsoon__MiaAffogato-Indo-Mistral-7b | [
"region:us"
] | 2024-02-04T17:36:25+00:00 | {"pretty_name": "Evaluation run of gmonsoon/MiaAffogato-Indo-Mistral-7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [gmonsoon/MiaAffogato-Indo-Mistral-7b](https://huggingface.co/gmonsoon/MiaAffogato-Indo-Mistral-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-02-04T17:36:47+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of gmonsoon/MiaAffogato-Indo-Mistral-7b
Dataset automatically created during the evaluation run of model gmonsoon/MiaAffogato-Indo-Mistral-7b on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
"# Dataset Card for Evaluation run of gmonsoon/MiaAffogato-Indo-Mistral-7b\n\n\n\nDataset automatically created during the evaluation run of model gmonsoon/MiaAffogato-Indo-Mistral-7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\n... | [
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3570d92d76ff58fe4a471df80f8a4fe257f2bff7 |
# Dataset Card for Evaluation run of gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined](https://huggingface.co/gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined) on the [... | open-llm-leaderboard/details_gmonsoon__OpenMia-Indo-Mistral-7b-v3-refined | [
"region:us"
] | 2024-02-04T17:50:19+00:00 | {"pretty_name": "Evaluation run of gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined", "dataset_summary": "Dataset automatically created during the evaluation run of model [gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined](https://huggingface.co/gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined) on the [Open LLM Leaderboard](https://hu... | 2024-02-04T19:43:50+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined
Dataset automatically created during the evaluation run of model gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
"# Dataset Card for Evaluation run of gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined\n\n\n\nDataset automatically created during the evaluation run of model gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined\n\n\n\nDataset automatically created during the evaluation run of model gmonsoon/OpenMia-Indo-Mistral-7b-v3-refined on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one core... |
f35600197aa64b9e058386446e4b857bda61913e |
# Dataset Card for Evaluation run of sethuiyer/Eida_10.7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sethuiyer/Eida_10.7B](https://huggingface.co/sethuiyer/Eida_10.7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_sethuiyer__Eida_10.7B | [
"region:us"
] | 2024-02-04T17:55:54+00:00 | {"pretty_name": "Evaluation run of sethuiyer/Eida_10.7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [sethuiyer/Eida_10.7B](https://huggingface.co/sethuiyer/Eida_10.7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2024-02-04T17:56:20+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of sethuiyer/Eida_10.7B
Dataset automatically created during the evaluation run of model sethuiyer/Eida_10.7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). ... | [
"# Dataset Card for Evaluation run of sethuiyer/Eida_10.7B\n\n\n\nDataset automatically created during the evaluation run of model sethuiyer/Eida_10.7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created fro... | [
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"# Dataset Card for Evaluation run of sethuiyer/Eida_10.7B\n\n\n\nDataset automatically created during the evaluation run of model sethuiyer/Eida_10.7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dat... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of sethuiyer/Eida_10.7B\n\n\n\nDataset automatically created during the evaluation run of model sethuiyer/Eida_10.7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe ... |
405076073d444c05cc5b2303fb70e641ea24324d |
# Dataset Card for Evaluation run of paulml/OmniBeagleMBX-v3-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [paulml/OmniBeagleMBX-v3-7B](https://huggingface.co/paulml/OmniBeagleMBX-v3-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_paulml__OmniBeagleMBX-v3-7B | [
"region:us"
] | 2024-02-04T17:58:47+00:00 | {"pretty_name": "Evaluation run of paulml/OmniBeagleMBX-v3-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [paulml/OmniBeagleMBX-v3-7B](https://huggingface.co/paulml/OmniBeagleMBX-v3-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2024-02-04T18:04:26+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of paulml/OmniBeagleMBX-v3-7B
Dataset automatically created during the evaluation run of model paulml/OmniBeagleMBX-v3-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created fro... | [
"# Dataset Card for Evaluation run of paulml/OmniBeagleMBX-v3-7B\n\n\n\nDataset automatically created during the evaluation run of model paulml/OmniBeagleMBX-v3-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of paulml/OmniBeagleMBX-v3-7B\n\n\n\nDataset automatically created during the evaluation run of model paulml/OmniBeagleMBX-v3-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of paulml/OmniBeagleMBX-v3-7B\n\n\n\nDataset automatically created during the evaluation run of model paulml/OmniBeagleMBX-v3-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated t... |
56f6f5c1abdde8ccadf5217255a79c219a59dfa2 |
# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2](https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Re... | open-llm-leaderboard/details_Josephgflowers__Tinyllama-1.3B-Cinder-Reason-Test-2 | [
"region:us"
] | 2024-02-04T18:19:35+00:00 | {"pretty_name": "Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2](https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2) on the [Open LLM Le... | 2024-02-04T20:29:17+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2
Dataset automatically created during the evaluation run of model Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the e... | [
"# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2\n\n\n\nDataset automatically created during the evaluation run of model Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to on... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2\n\n\n\nDataset automatically created during the evaluation run of model Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, ea... | [
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4b772da0e2cf6fdd856d95c35ca468b4dfa6a800 | ## id2label = {
## 0: 'binary visual question answering',
## 1:'search by image',
## 2:'image search by text',
## 3:'geospatial question answering',
## 4:'count objects in image' ,
## 5:'object extraction in image',
## 6:'image segmentation'
## }
---
size_categories:
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task_categories:
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] | 2024-02-04T18:22:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "request", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 96731, "num_ex... | 2024-02-06T08:38:02+00:00 | [] | [] | TAGS
#region-us
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## 1:'search by image',
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# ArabicaQA
ArabicaQA: Comprehensive Dataset for Arabic Question Answering
This repository contains dataset for paper *ArabicaQA: Comprehensive Dataset for Arabic Question Answering*. Below, we provide details regarding the materials available in this repository:
## Dataset
Within this folder, you will find the tr... | abdoelsayed/ArabicaQA | [
"task_categories:question-answering",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"size_categories:10K<n<100K",
"language:ar",
"license:mit",
"region:us"
] | 2024-02-04T18:37:18+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "found"], "language": ["ar"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "pretty_name": "ArabicaQA"} | 2024-02-04T23:00:10+00:00 | [] | [
"ar"
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#task_categories-question-answering #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-found #size_categories-10K<n<100K #language-Arabic #license-mit #region-us
| ArabicaQA
=========
ArabicaQA: Comprehensive Dataset for Arabic Question Answering
This repository contains dataset for paper *ArabicaQA: Comprehensive Dataset for Arabic Question Answering*. Below, we provide details regarding the materials available in this repository:
Dataset
-------
Within this folder, you ... | [] | [
"TAGS\n#task_categories-question-answering #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-found #size_categories-10K<n<100K #language-Arabic #license-mit #region-us \n"
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] |
1a6b4497478925187b5458fda6a4c0605d696cd3 |
# Dataset Card for Evaluation run of vikash06/doctorMistralLLM10k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [vikash06/doctorMistralLLM10k](https://huggingface.co/vikash06/doctorMistralLLM10k) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_vikash06__doctorMistralLLM10k | [
"region:us"
] | 2024-02-04T19:04:00+00:00 | {"pretty_name": "Evaluation run of vikash06/doctorMistralLLM10k", "dataset_summary": "Dataset automatically created during the evaluation run of model [vikash06/doctorMistralLLM10k](https://huggingface.co/vikash06/doctorMistralLLM10k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2024-02-05T06:57:25+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of vikash06/doctorMistralLLM10k
Dataset automatically created during the evaluation run of model vikash06/doctorMistralLLM10k on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
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# Dataset Card for Evaluation run of EleutherAI/llemma_7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [EleutherAI/llemma_7b](https://huggingface.co/EleutherAI/llemma_7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_EleutherAI__llemma_7b | [
"region:us"
] | 2024-02-04T19:10:00+00:00 | {"pretty_name": "Evaluation run of EleutherAI/llemma_7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [EleutherAI/llemma_7b](https://huggingface.co/EleutherAI/llemma_7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2024-02-04T21:08:27+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of EleutherAI/llemma_7b
Dataset automatically created during the evaluation run of model EleutherAI/llemma_7b on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). ... | [
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88ec74c3c0b2f67342c3f3b28f10b6b5d6a2caad | # Dataset Card for "ai4bharat-hi-subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zicsx/ai4bharat-hi-subset | [
"task_categories:text-generation",
"size_categories:100M<n<1B",
"language:hi",
"license:apache-2.0",
"region:us"
] | 2024-02-04T19:16:02+00:00 | {"language": ["hi"], "license": "apache-2.0", "size_categories": ["100M<n<1B"], "task_categories": ["text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "n... | 2024-02-04T21:01:37+00:00 | [] | [
"hi"
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#task_categories-text-generation #size_categories-100M<n<1B #language-Hindi #license-apache-2.0 #region-us
| # Dataset Card for "ai4bharat-hi-subset"
More Information needed | [
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] |
27ce2f607473bdae0a47e22cd21d170113915587 |
# Dataset Card for Evaluation run of nlpguy/Westgate
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [nlpguy/Westgate](https://huggingface.co/nlpguy/Westgate) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboa... | open-llm-leaderboard/details_nlpguy__Westgate | [
"region:us"
] | 2024-02-04T19:16:08+00:00 | {"pretty_name": "Evaluation run of nlpguy/Westgate", "dataset_summary": "Dataset automatically created during the evaluation run of model [nlpguy/Westgate](https://huggingface.co/nlpguy/Westgate) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed ... | 2024-02-04T19:16:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of nlpguy/Westgate
Dataset automatically created during the evaluation run of model nlpguy/Westgate on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run c... | [
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99e9b6f1a47866379121312d88dca3828beccc9b | # Dataset Card for "hanna-pairwise"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | llm-aes/hanna-pairwise | [
"region:us"
] | 2024-02-04T20:41:10+00:00 | {"dataset_info": {"features": [{"name": "output_1", "dtype": "string"}, {"name": "output_2", "dtype": "string"}, {"name": "human_label", "dtype": "int64"}, {"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "generator_1", "dtype": "string"}, {"name": "generator_2", "dtype": "stri... | 2024-02-11T20:39:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hanna-pairwise"
More Information needed | [
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21a56e17a10f8bf1b361711d4374358089d02c63 |
# Dataset Card for Evaluation run of gmonsoon/OpenMia-Indo-Engineering
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [gmonsoon/OpenMia-Indo-Engineering](https://huggingface.co/gmonsoon/OpenMia-Indo-Engineering) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_gmonsoon__OpenMia-Indo-Engineering | [
"region:us"
] | 2024-02-04T20:47:02+00:00 | {"pretty_name": "Evaluation run of gmonsoon/OpenMia-Indo-Engineering", "dataset_summary": "Dataset automatically created during the evaluation run of model [gmonsoon/OpenMia-Indo-Engineering](https://huggingface.co/gmonsoon/OpenMia-Indo-Engineering) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2024-02-04T20:47:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of gmonsoon/OpenMia-Indo-Engineering
Dataset automatically created during the evaluation run of model gmonsoon/OpenMia-Indo-Engineering on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
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63914832ed0239ed518239ce2b1000724d1a8829 |
# hh-rlhf-12k-ja
This repository provides a human preference dataset developed by LLM-jp, a collaborative project launched in Japan.
This dataset is a Japanese translation of a subset of [hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) using DeepL.
This dataset consists of 12,000 entries randomly sample... | llm-jp/hh-rlhf-12k-ja | [
"size_categories:10K<n<100K",
"language:ja",
"license:mit",
"region:us"
] | 2024-02-04T21:19:53+00:00 | {"language": ["ja"], "license": "mit", "size_categories": ["10K<n<100K"]} | 2024-02-04T21:45:59+00:00 | [] | [
"ja"
] | TAGS
#size_categories-10K<n<100K #language-Japanese #license-mit #region-us
|
# hh-rlhf-12k-ja
This repository provides a human preference dataset developed by LLM-jp, a collaborative project launched in Japan.
This dataset is a Japanese translation of a subset of hh-rlhf using DeepL.
This dataset consists of 12,000 entries randomly sampled from hh-rlhf. Specifically, it includes a random se... | [
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36520e7565136e3e4c175807e54608d58f6a4428 |
# Dataset Card for Finnish-NLP/benebele
## Creation process
- Finnish subset loaded from facebook/belebele | Finnish-NLP/belebele-fi-filtered-sft | [
"task_categories:text-generation",
"task_categories:question-answering",
"language:fi",
"license:cc-by-sa-4.0",
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] | 2024-02-04T21:40:28+00:00 | {"language": ["fi"], "license": "cc-by-sa-4.0", "task_categories": ["text-generation", "question-answering"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "source", "dtype": "null"}, {"name": "text", "dtype": "null"}, {"name": "chosen", "dtype": "null"}, {"name": "rejected", "dtype": "null"... | 2024-02-13T21:32:14+00:00 | [] | [
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] | TAGS
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# Dataset Card for Finnish-NLP/benebele
## Creation process
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befd310eddff17f0b8088fdb57cedc1811c9fc60 |
# Restful Booker Platform Data Set
Scrapped code from the Restful Booker Platform code base found here:
[https://github.com/mwinteringham/restful-booker-platform](https://github.com/mwinteringham/restful-booker-platform)
| 2bittester/rbp-data-set | [
"language:eng",
"license:mit",
"Scrapped Code",
"region:us"
] | 2024-02-04T21:57:15+00:00 | {"language": ["eng"], "license": "mit", "pretty_name": "RBP Data Set", "tags": ["Scrapped Code"]} | 2024-02-07T21:15:46+00:00 | [] | [
"eng"
] | TAGS
#language-English #license-mit #Scrapped Code #region-us
|
# Restful Booker Platform Data Set
Scrapped code from the Restful Booker Platform code base found here:
URL
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5e682bcb2fab62a5c132769d2675ee46e9bac61b |
# Alpaca-kartuli-0.1
<!-- Provide a quick summary of the dataset. -->
alpaca Dataset-ის ქართულად გადმოთრგმნილი ვერსია.
- **წყარო:** [alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned#dataset-card-for-alpaca-cleaned)
| Temo/alpaca-kartuli-0.1 | [
"size_categories:10K<n<100K",
"language:ka",
"license:cc-by-4.0",
"region:us"
] | 2024-02-04T21:59:37+00:00 | {"language": ["ka"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"]} | 2024-02-04T22:45:59+00:00 | [] | [
"ka"
] | TAGS
#size_categories-10K<n<100K #language-Georgian #license-cc-by-4.0 #region-us
|
# Alpaca-kartuli-0.1
alpaca Dataset-ის ქართულად გადმოთრგმნილი ვერსია.
- წყარო: alpaca-cleaned
| [
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"passage: TAGS\n#size_categories-10K<n<100K #language-Georgian #license-cc-by-4.0 #region-us \n# Alpaca-kartuli-0.1\n\n\n\nalpaca Dataset-ის ქართულად გადმოთრგმნილი ვერსია.\n\n- წყარო: alpaca-cleaned"
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fa3732bc0879e011048168e50b79d62721dca58e |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:** https://gitlab.inria.fr/semagramme-public-projects/resources/french-fracas
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This repository contains the French version of the FraCaS Test Suite in... | maximoss/fracas | [
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"license:cc-by-nc-sa-4.0",
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| Dataset Card for Dataset Name
=============================
Dataset Description
-------------------
* Homepage:
* Repository: URL
* Paper:
* Leaderboard:
* Point of Contact:
### Dataset Summary
This repository contains the French version of the FraCaS Test Suite introduced in this paper, as well as the original... | [
"### Dataset Summary\n\n\nThis repository contains the French version of the FraCaS Test Suite introduced in this paper, as well as the original English one, in a TSV format (as opposed to the XML format provided with the original paper).\n\n\nFraCaS stands for \"Framework for Computational Semantics\".",
"### Su... | [
"TAGS\n#task_categories-text-classification #task_categories-question-answering #task_ids-natural-language-inference #task_ids-multi-input-text-classification #size_categories-n<1K #language-French #language-English #license-cc-by-nc-sa-4.0 #region-us \n",
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912a85007cece1ccd20b7b6224e973ada57c2bd4 |
# Dataset Card for Evaluation run of AA051615/A0204
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AA051615/A0204](https://huggingface.co/AA051615/A0204) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)... | open-llm-leaderboard/details_AA051615__A0204 | [
"region:us"
] | 2024-02-04T22:26:22+00:00 | {"pretty_name": "Evaluation run of AA051615/A0204", "dataset_summary": "Dataset automatically created during the evaluation run of model [AA051615/A0204](https://huggingface.co/AA051615/A0204) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of ... | 2024-02-04T22:26:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of AA051615/A0204
Dataset automatically created during the evaluation run of model AA051615/A0204 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can... | [
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# Dataset Card for Evaluation run of s3nh/SeverusWestLake-7B-DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [s3nh/SeverusWestLake-7B-DPO](https://huggingface.co/s3nh/SeverusWestLake-7B-DPO) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_s3nh__SeverusWestLake-7B-DPO | [
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# Dataset Card for Evaluation run of s3nh/SeverusWestLake-7B-DPO
Dataset automatically created during the evaluation run of model s3nh/SeverusWestLake-7B-DPO on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created f... | [
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# Dataset Card for Evaluation run of minghaowu/phi-2-OpenHermes-2.5
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [minghaowu/phi-2-OpenHermes-2.5](https://huggingface.co/minghaowu/phi-2-OpenHermes-2.5) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_minghaowu__phi-2-OpenHermes-2.5 | [
"region:us"
] | 2024-02-04T22:50:54+00:00 | {"pretty_name": "Evaluation run of minghaowu/phi-2-OpenHermes-2.5", "dataset_summary": "Dataset automatically created during the evaluation run of model [minghaowu/phi-2-OpenHermes-2.5](https://huggingface.co/minghaowu/phi-2-OpenHermes-2.5) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-02-05T04:00:01+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of minghaowu/phi-2-OpenHermes-2.5
Dataset automatically created during the evaluation run of model minghaowu/phi-2-OpenHermes-2.5 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been cre... | [
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# Dataset Card for Evaluation run of Eric111/NeuralBeagleOpenChat
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Eric111/NeuralBeagleOpenChat](https://huggingface.co/Eric111/NeuralBeagleOpenChat) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_Eric111__NeuralBeagleOpenChat | [
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] | 2024-02-04T23:09:38+00:00 | {"pretty_name": "Evaluation run of Eric111/NeuralBeagleOpenChat", "dataset_summary": "Dataset automatically created during the evaluation run of model [Eric111/NeuralBeagleOpenChat](https://huggingface.co/Eric111/NeuralBeagleOpenChat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2024-02-04T23:10:01+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Eric111/NeuralBeagleOpenChat
Dataset automatically created during the evaluation run of model Eric111/NeuralBeagleOpenChat on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created... | [
"# Dataset Card for Evaluation run of Eric111/NeuralBeagleOpenChat\n\n\n\nDataset automatically created during the evaluation run of model Eric111/NeuralBeagleOpenChat on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has ... | [
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6e391f01d49a5fead324f5d02b3ede59150772ef | # Dataset Card for "Wikipedia-Hindi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zicsx/Wikipedia-Hindi | [
"region:us"
] | 2024-02-04T23:41:14+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 576464909.5937778, "num_examples": 154867}], "download_size": 216951489, "dataset_size": 576464909.5937778}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2024-02-04T23:49:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wikipedia-Hindi"
More Information needed | [
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399fae71b33d96d2ce65e1609391305bf575302f |
# Dataset Card for Evaluation run of AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling](https://huggingface.co/AIGym/TinyLlama-1.1B-2.5T-chat-and-fu... | open-llm-leaderboard/details_AIGym__TinyLlama-1.1B-2.5T-chat-and-function-calling | [
"region:us"
] | 2024-02-04T23:45:04+00:00 | {"pretty_name": "Evaluation run of AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling", "dataset_summary": "Dataset automatically created during the evaluation run of model [AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling](https://huggingface.co/AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling) on the [Open LLM... | 2024-02-04T23:45:27+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling
Dataset automatically created during the evaluation run of model AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the... | [
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# Dataset Card for Evaluation run of Josephgflowers/distillgpt2Cinder
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Josephgflowers/distillgpt2Cinder](https://huggingface.co/Josephgflowers/distillgpt2Cinder) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_Josephgflowers__distillgpt2Cinder | [
"region:us"
] | 2024-02-04T23:47:54+00:00 | {"pretty_name": "Evaluation run of Josephgflowers/distillgpt2Cinder", "dataset_summary": "Dataset automatically created during the evaluation run of model [Josephgflowers/distillgpt2Cinder](https://huggingface.co/Josephgflowers/distillgpt2Cinder) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2024-02-04T23:48:23+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Josephgflowers/distillgpt2Cinder
Dataset automatically created during the evaluation run of model Josephgflowers/distillgpt2Cinder on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been... | [
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be5b02011e6d8752797e75452732c36a3475b657 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
NorQuAD is the first Norwegian question answering dataset for machine reading comprehension, created from scratch in Norwegian. The dataset consists of 4,752 manually created question-answer pairs.
## Dataset Details
### Dataset Descr... | ltg/norquad | [
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# Dataset Card for Dataset Name
NorQuAD is the first Norwegian question answering dataset for machine reading comprehension, created from scratch in Norwegian. The dataset consists of 4,752 manually created question-answer pairs.
## Dataset Details
### Dataset Description
The dataset provides Norwegian question... | [
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# Dataset Card for Evaluation run of AIGym/deepseek-coder-1.3b-chat-and-function-calling
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AIGym/deepseek-coder-1.3b-chat-and-function-calling](https://huggingface.co/AIGym/deepseek-coder-1.3b-chat-and-fu... | open-llm-leaderboard/details_AIGym__deepseek-coder-1.3b-chat-and-function-calling | [
"region:us"
] | 2024-02-04T23:56:58+00:00 | {"pretty_name": "Evaluation run of AIGym/deepseek-coder-1.3b-chat-and-function-calling", "dataset_summary": "Dataset automatically created during the evaluation run of model [AIGym/deepseek-coder-1.3b-chat-and-function-calling](https://huggingface.co/AIGym/deepseek-coder-1.3b-chat-and-function-calling) on the [Open LLM... | 2024-02-04T23:57:25+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of AIGym/deepseek-coder-1.3b-chat-and-function-calling
Dataset automatically created during the evaluation run of model AIGym/deepseek-coder-1.3b-chat-and-function-calling on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of AIGym/deepseek-coder-1.3b-chat-and-function-calling\n\n\n\nDataset automatically created during the evaluation run of model AIGym/deepseek-coder-1.3b-chat-and-function-calling on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuratio... |
0c983a9912004ea421183cefde425e7333d1dfce |
# Dataset Card for Evaluation run of AIGym/deepseek-coder-6.7b-chat-and-function-calling
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AIGym/deepseek-coder-6.7b-chat-and-function-calling](https://huggingface.co/AIGym/deepseek-coder-6.7b-chat-and-fu... | open-llm-leaderboard/details_AIGym__deepseek-coder-6.7b-chat-and-function-calling | [
"region:us"
] | 2024-02-05T00:00:17+00:00 | {"pretty_name": "Evaluation run of AIGym/deepseek-coder-6.7b-chat-and-function-calling", "dataset_summary": "Dataset automatically created during the evaluation run of model [AIGym/deepseek-coder-6.7b-chat-and-function-calling](https://huggingface.co/AIGym/deepseek-coder-6.7b-chat-and-function-calling) on the [Open LLM... | 2024-02-05T00:00:39+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of AIGym/deepseek-coder-6.7b-chat-and-function-calling
Dataset automatically created during the evaluation run of model AIGym/deepseek-coder-6.7b-chat-and-function-calling on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the... | [
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# medmcqa-rephrased-20k-v0.1
(Rephrased Sample) MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
## Dataset Details
### Dataset Description
MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance ex... | jon-tow/medmcqa-rephrased-20k-v0.1 | [
"license:apache-2.0",
"arxiv:2203.14371",
"region:us"
] | 2024-02-05T01:34:19+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8269606, "num_examples": 20000}], "download_size": 4941825, "dataset_size": 8269606}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}... | 2024-02-05T19:08:45+00:00 | [
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# medmcqa-rephrased-20k-v0.1
(Rephrased Sample) MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
## Dataset Details
### Dataset Description
MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance ex... | [
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493ee46f7e1d10804e4c30281fcef17ee63f2295 | ## Segmented ImageNet-1K Subset
A subset of ImageNet-1K that has instance segmentation annotations (classes, boxes, and masks), originally intended for use by the [ViT Prisma Library](https://github.com/soniajoseph/ViT-Prisma).
The annotations were autogenerated by [Grounded Segment Anything](https://github.com/IDEA-... | Prisma-Multimodal/segmented-imagenet1k-subset | [
"region:us"
] | 2024-02-05T01:43:08+00:00 | {} | 2024-02-13T21:06:05+00:00 | [] | [] | TAGS
#region-us
| ## Segmented ImageNet-1K Subset
A subset of ImageNet-1K that has instance segmentation annotations (classes, boxes, and masks), originally intended for use by the ViT Prisma Library.
The annotations were autogenerated by Grounded Segment Anything.
The total size of the dataset is 12,000 images: 10,000 from ImageNe... | [
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d883f3d341f68065eddd4493fa11f3200a304afc | created a total of 5 images
jlbaker361/dcgan-wikiart1000-resized std: 0.19492517411708832 mean: 4.175252437591553
jlbaker361/dcgan-wikiart1000-clip-resized std: 0.022618815302848816 mean: 4.229665374755859
jlbaker361/dcgan-cond-wikiart1000-resized std: 0.034114643931388855 mean: 4.083883571624756
jlbaker361/dcg... | jlbaker361/eval-inception-test | [
"region:us"
] | 2024-02-05T02:25:27+00:00 | {} | 2024-02-05T02:25:30+00:00 | [] | [] | TAGS
#region-us
| created a total of 5 images
jlbaker361/dcgan-wikiart1000-resized std: 0.19492517411708832 mean: 4.175252437591553
jlbaker361/dcgan-wikiart1000-clip-resized std: 0.022618815302848816 mean: 4.229665374755859
jlbaker361/dcgan-cond-wikiart1000-resized std: 0.034114643931388855 mean: 4.083883571624756
jlbaker361/dcg... | [] | [
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6dc78a854ebf2075483966a9239406e5c2845b4c | created a total of 5 images
jlbaker361/ddpo-stability-e5 std: 0.12525674700737 mean: 4.365276241302491 inception_mean: 1.0 inception_src: 2.9802322387695312e-08
jlbaker361/ddpo-stability-dcgan-e5 std: 0.1559106409549713 mean: 4.381470108032227 inception_mean: 1.0 inception_src: 5.960464477539063e-08 | jlbaker361/stability-ddpo-inception-test-10 | [
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] | 2024-02-05T02:39:51+00:00 | {} | 2024-02-05T03:41:31+00:00 | [] | [] | TAGS
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| created a total of 5 images
jlbaker361/ddpo-stability-e5 std: 0.12525674700737 mean: 4.365276241302491 inception_mean: 1.0 inception_src: 2.9802322387695312e-08
jlbaker361/ddpo-stability-dcgan-e5 std: 0.1559106409549713 mean: 4.381470108032227 inception_mean: 1.0 inception_src: 5.960464477539063e-08 | [] | [
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21cd4314b972fcccae4ab53a9634a4e2d1f6646a | This dataset once scored 4 touchdowns in a single game. | TuringsSolutions/AlBundy500 | [
"license:mit",
"region:us"
] | 2024-02-05T03:06:03+00:00 | {"license": "mit"} | 2024-02-05T03:07:21+00:00 | [] | [] | TAGS
#license-mit #region-us
| This dataset once scored 4 touchdowns in a single game. | [] | [
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f53fb989a0327e4a7b678889a6f549f092cc469c |
# Indian States GDP numbers
I wanted to find out how Indian states were faring since independence and if government policies and regimes have made any difference. Since I could not find any aggregate data I wanted to use a list of government documents and compile it myself by state.
For the first dataset I will comp... | neutralboy/indian_states_gdp | [
"size_categories:n<1K",
"language:en",
"license:mit",
"India, Economics, GDP",
"region:us"
] | 2024-02-05T03:38:46+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "tags": ["India, Economics, GDP"]} | 2024-02-11T07:10:13+00:00 | [] | [
"en"
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#size_categories-n<1K #language-English #license-mit #India, Economics, GDP #region-us
|
# Indian States GDP numbers
I wanted to find out how Indian states were faring since independence and if government policies and regimes have made any difference. Since I could not find any aggregate data I wanted to use a list of government documents and compile it myself by state.
For the first dataset I will comp... | [
"# Indian States GDP numbers\n\nI wanted to find out how Indian states were faring since independence and if government policies and regimes have made any difference. Since I could not find any aggregate data I wanted to use a list of government documents and compile it myself by state.\n\nFor the first dataset I w... | [
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2ca0894fd98bf413c16f7a63e366ecd565701345 |
# Dataset Card for Evaluation run of alnrg2arg/blockchainlabs_joe_bez_seminar
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [alnrg2arg/blockchainlabs_joe_bez_seminar](https://huggingface.co/alnrg2arg/blockchainlabs_joe_bez_seminar) on the [Open LLM ... | open-llm-leaderboard/details_alnrg2arg__blockchainlabs_joe_bez_seminar | [
"region:us"
] | 2024-02-05T03:57:33+00:00 | {"pretty_name": "Evaluation run of alnrg2arg/blockchainlabs_joe_bez_seminar", "dataset_summary": "Dataset automatically created during the evaluation run of model [alnrg2arg/blockchainlabs_joe_bez_seminar](https://huggingface.co/alnrg2arg/blockchainlabs_joe_bez_seminar) on the [Open LLM Leaderboard](https://huggingface... | 2024-02-05T07:12:39+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of alnrg2arg/blockchainlabs_joe_bez_seminar
Dataset automatically created during the evaluation run of model alnrg2arg/blockchainlabs_joe_bez_seminar on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The ... | [
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# Dataset Card for Evaluation run of adonlee/Mistral_7B_SFT_DPO_v0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [adonlee/Mistral_7B_SFT_DPO_v0](https://huggingface.co/adonlee/Mistral_7B_SFT_DPO_v0) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_adonlee__Mistral_7B_SFT_DPO_v0 | [
"region:us"
] | 2024-02-05T04:14:22+00:00 | {"pretty_name": "Evaluation run of adonlee/Mistral_7B_SFT_DPO_v0", "dataset_summary": "Dataset automatically created during the evaluation run of model [adonlee/Mistral_7B_SFT_DPO_v0](https://huggingface.co/adonlee/Mistral_7B_SFT_DPO_v0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-02-05T04:14:49+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of adonlee/Mistral_7B_SFT_DPO_v0
Dataset automatically created during the evaluation run of model adonlee/Mistral_7B_SFT_DPO_v0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been creat... | [
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a0b9f76b3b62b09e68d8221cb09662ad584409c2 |
This dataset was create semi-synthetically using a RAG system containing crop nutrition and environmental conditions requirements for various plants, sourced from agricultural college data, along with open nutrient projects data, connected to a ChatGPT4 API, put together by Copyleft Cultivars Nonprofit, then cleaned l... | CopyleftCultivars/SemiSynthetic_Locally_Growing_Plants_by_Region | [
"license:other",
"region:us"
] | 2024-02-05T04:20:11+00:00 | {"license": "other", "license_name": "hl3-cl-eco-extr", "license_link": "https://firstdonoharm.dev/version/3/0/cl-eco-extr.html"} | 2024-02-08T06:43:10+00:00 | [] | [] | TAGS
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This dataset was create semi-synthetically using a RAG system containing crop nutrition and environmental conditions requirements for various plants, sourced from agricultural college data, along with open nutrient projects data, connected to a ChatGPT4 API, put together by Copyleft Cultivars Nonprofit, then cleaned l... | [] | [
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07a737f1ae55ec53efc2ac9fcf45f45658079341 | # Dataset Card for "alpaca_farm-reward-model-deberta-v3-large-v2-re-eval-preference"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-eval-preference | [
"region:us"
] | 2024-02-05T04:29:38+00:00 | {"dataset_info": {"config_name": "alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500", "features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "preference", "dtype": "int64"}, {"name": "output_1"... | 2024-02-05T04:29:42+00:00 | [] | [] | TAGS
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| # Dataset Card for "alpaca_farm-reward-model-deberta-v3-large-v2-re-eval-preference"
More Information needed | [
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b1754fb61603ffef50f039a863f9ae30d4ed9b64 |
# Dataset Card for Evaluation run of ZoidBB/Kory-0.1-11b-pre1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ZoidBB/Kory-0.1-11b-pre1](https://huggingface.co/ZoidBB/Kory-0.1-11b-pre1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggi... | open-llm-leaderboard/details_ZoidBB__Kory-0.1-11b-pre1 | [
"region:us"
] | 2024-02-05T04:38:19+00:00 | {"pretty_name": "Evaluation run of ZoidBB/Kory-0.1-11b-pre1", "dataset_summary": "Dataset automatically created during the evaluation run of model [ZoidBB/Kory-0.1-11b-pre1](https://huggingface.co/ZoidBB/Kory-0.1-11b-pre1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2024-02-05T04:38:41+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of ZoidBB/Kory-0.1-11b-pre1
Dataset automatically created during the evaluation run of model ZoidBB/Kory-0.1-11b-pre1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 ... | [
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# Dataset Card for Evaluation run of argilla/CapybaraHermes-2.5-Mistral-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [argilla/CapybaraHermes-2.5-Mistral-7B](https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_argilla__CapybaraHermes-2.5-Mistral-7B | [
"region:us"
] | 2024-02-05T04:40:03+00:00 | {"pretty_name": "Evaluation run of argilla/CapybaraHermes-2.5-Mistral-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [argilla/CapybaraHermes-2.5-Mistral-7B](https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2024-02-05T04:40:30+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of argilla/CapybaraHermes-2.5-Mistral-7B
Dataset automatically created during the evaluation run of model argilla/CapybaraHermes-2.5-Mistral-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The datase... | [
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34aa95f170786fd6bf059db7d77a472863db150b |
# Sadeem QnA: An Arabic QnA Dataset 🌍✨
Welcome to the **Sadeem QnA** dataset, a vibrant collection designed for the advancement of Arabic natural language processing, specifically tailored for Question Answering (QnA) systems. Sourced from the rich and diverse content of Arabic Wikipedia, this dataset is a gateway t... | sadeem-ai/arabic-qna | [
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"language:ar",
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"qna",
"questioning-answering",
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"region:us"
] | 2024-02-05T04:45:47+00:00 | {"language": ["ar"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "pretty_name": "arabic QnA dataset", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "ar-qna-train-data-hf.csv"}, {"split": "test", "path": "ar-qna-test-data-hf.csv"... | 2024-02-05T13:38:36+00:00 | [] | [
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|
# Sadeem QnA: An Arabic QnA Dataset
Welcome to the Sadeem QnA dataset, a vibrant collection designed for the advancement of Arabic natural language processing, specifically tailored for Question Answering (QnA) systems. Sourced from the rich and diverse content of Arabic Wikipedia, this dataset is a gateway to explo... | [
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cfe7053280761c7e0135e3f9cd9c4cf33b378dd7 |
# Dataset Card for Evaluation run of abacusai/Fewshot-Metamath-OrcaVicuna-Mistral-10B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abacusai/Fewshot-Metamath-OrcaVicuna-Mistral-10B](https://huggingface.co/abacusai/Fewshot-Metamath-OrcaVicuna-Mistra... | open-llm-leaderboard/details_abacusai__Fewshot-Metamath-OrcaVicuna-Mistral-10B | [
"region:us"
] | 2024-02-05T04:55:18+00:00 | {"pretty_name": "Evaluation run of abacusai/Fewshot-Metamath-OrcaVicuna-Mistral-10B", "dataset_summary": "Dataset automatically created during the evaluation run of model [abacusai/Fewshot-Metamath-OrcaVicuna-Mistral-10B](https://huggingface.co/abacusai/Fewshot-Metamath-OrcaVicuna-Mistral-10B) on the [Open LLM Leaderbo... | 2024-02-05T04:55:39+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of abacusai/Fewshot-Metamath-OrcaVicuna-Mistral-10B
Dataset automatically created during the evaluation run of model abacusai/Fewshot-Metamath-OrcaVicuna-Mistral-10B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
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c3cac1c24e518bce2879d34d2d470fd6b1772126 | # Dataset Card for "sn18-all-20240204"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | winglian/sn18-all-20240204 | [
"region:us"
] | 2024-02-05T05:20:24+00:00 | {"dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "run_id", "dtype": "string"}, {"name": "step", "dtype": "int64"}, {"name": "uid", "dtype": "int64"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "n... | 2024-02-05T05:27:58+00:00 | [] | [] | TAGS
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| # Dataset Card for "sn18-all-20240204"
More Information needed | [
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01c18a5b06119e50e7755f93a7f121a4f303157c |
# Prompt Task Clasification
Category prompt into categories and results into the most probably task
## Current Supported Categories
```py
['fill_mask',
'conversation',
'midjourney_image_generation',
'math',
'science',
'toxic_harmful',
'logical_reasoning',
'sex',
'creative_writing']
```
## Categories Data Co... | jeanvydes/llm-routing-text-classification | [
"task_categories:text-classification",
"language:en",
"license:unlicense",
"prompt-classification",
"region:us"
] | 2024-02-05T05:23:04+00:00 | {"language": ["en"], "license": "unlicense", "task_categories": ["text-classification"], "pretty_name": "Prompt Task Classification", "tags": ["prompt-classification"]} | 2024-02-11T05:45:00+00:00 | [] | [
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#task_categories-text-classification #language-English #license-unlicense #prompt-classification #region-us
|
# Prompt Task Clasification
Category prompt into categories and results into the most probably task
## Current Supported Categories
## Categories Data Composition
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... |
e17b0e5fa979c9d9d8bcb1232267d6e7083821a9 |
# Dataset Card for Evaluation run of xaviviro/OpenHermes-2.5-FLOR-6.3B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [xaviviro/OpenHermes-2.5-FLOR-6.3B](https://huggingface.co/xaviviro/OpenHermes-2.5-FLOR-6.3B) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_xaviviro__OpenHermes-2.5-FLOR-6.3B | [
"region:us"
] | 2024-02-05T06:47:36+00:00 | {"pretty_name": "Evaluation run of xaviviro/OpenHermes-2.5-FLOR-6.3B", "dataset_summary": "Dataset automatically created during the evaluation run of model [xaviviro/OpenHermes-2.5-FLOR-6.3B](https://huggingface.co/xaviviro/OpenHermes-2.5-FLOR-6.3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2024-02-05T06:47:59+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of xaviviro/OpenHermes-2.5-FLOR-6.3B
Dataset automatically created during the evaluation run of model xaviviro/OpenHermes-2.5-FLOR-6.3B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
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2ef6b982a22f18abb38187939a60123af2c53fa7 |
# Dataset Card for Evaluation run of indischepartij/OpenMia-Indo-Mistral-7b-v3-refined
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [indischepartij/OpenMia-Indo-Mistral-7b-v3-refined](https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v3... | open-llm-leaderboard/details_indischepartij__OpenMia-Indo-Mistral-7b-v3-refined | [
"region:us"
] | 2024-02-05T07:19:43+00:00 | {"pretty_name": "Evaluation run of indischepartij/OpenMia-Indo-Mistral-7b-v3-refined", "dataset_summary": "Dataset automatically created during the evaluation run of model [indischepartij/OpenMia-Indo-Mistral-7b-v3-refined](https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v3-refined) on the [Open LLM Leade... | 2024-02-05T07:20:05+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of indischepartij/OpenMia-Indo-Mistral-7b-v3-refined
Dataset automatically created during the evaluation run of model indischepartij/OpenMia-Indo-Mistral-7b-v3-refined on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the eva... | [
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18235edc40100a2027481a633266576d44240943 |
# Dataset Card for Evaluation run of indischepartij/OpenMia-Indo-Engineering-7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [indischepartij/OpenMia-Indo-Engineering-7b](https://huggingface.co/indischepartij/OpenMia-Indo-Engineering-7b) on the [Ope... | open-llm-leaderboard/details_indischepartij__OpenMia-Indo-Engineering-7b | [
"region:us"
] | 2024-02-05T07:24:38+00:00 | {"pretty_name": "Evaluation run of indischepartij/OpenMia-Indo-Engineering-7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [indischepartij/OpenMia-Indo-Engineering-7b](https://huggingface.co/indischepartij/OpenMia-Indo-Engineering-7b) on the [Open LLM Leaderboard](https://huggi... | 2024-02-05T07:25:00+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of indischepartij/OpenMia-Indo-Engineering-7b
Dataset automatically created during the evaluation run of model indischepartij/OpenMia-Indo-Engineering-7b on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
... | [
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9523dde46f0538f8fc532a5c1e2478ffb96330a6 |
# Dataset Card for UltraChat 200k
This is just the [original](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) ultrachat 200k dataset converted to sharegpt format.
## Dataset Description
This is a heavily filtered version of the [UltraChat](https://github.com/thunlp/UltraChat) dataset and was used to ... | abhinand/ultrachat_200k_sharegpt | [
"language:en",
"arxiv:2305.14233",
"arxiv:2310.16944",
"region:us"
] | 2024-02-05T07:32:24+00:00 | {"language": ["en"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 1393769584, "num_examples": 20786... | 2024-02-09T13:53:16+00:00 | [
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"2310.16944"
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] | TAGS
#language-English #arxiv-2305.14233 #arxiv-2310.16944 #region-us
| Dataset Card for UltraChat 200k
===============================
This is just the original ultrachat 200k dataset converted to sharegpt format.
Dataset Description
-------------------
This is a heavily filtered version of the UltraChat dataset and was used to train Zephyr-7B-β, a state of the art 7b chat model.
... | [] | [
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6cea60897b15ff41a1064daa21e2d9eae7d4ec3f | The Persian portion of the original CommonVoice 13 dataset at https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0
#### Load
```python
# Using HF Datasets
from datasets import load_dataset
dataset = load_dataset("hezarai/common-voice-13-fa", split="train")
# Using Hezar
from hezar.data import Datase... | hezarai/common-voice-13-fa | [
"task_categories:automatic-speech-recognition",
"size_categories:10K<n<100K",
"language:fa",
"hezar",
"region:us"
] | 2024-02-05T08:02:32+00:00 | {"language": ["fa"], "size_categories": ["10K<n<100K"], "task_categories": ["automatic-speech-recognition"], "pretty_name": "CommonVoice 13 (Persian)", "tags": ["hezar"]} | 2024-02-08T10:44:30+00:00 | [] | [
"fa"
] | TAGS
#task_categories-automatic-speech-recognition #size_categories-10K<n<100K #language-Persian #hezar #region-us
| The Persian portion of the original CommonVoice 13 dataset at URL
#### Load
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2189fa059682d79faa07f37a1c628be49873d33b |
# Dataset Card for Evaluation run of ZoidBB/MultiKory-0.1-4x11b-pre1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ZoidBB/MultiKory-0.1-4x11b-pre1](https://huggingface.co/ZoidBB/MultiKory-0.1-4x11b-pre1) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_ZoidBB__MultiKory-0.1-4x11b-pre1 | [
"region:us"
] | 2024-02-05T08:09:52+00:00 | {"pretty_name": "Evaluation run of ZoidBB/MultiKory-0.1-4x11b-pre1", "dataset_summary": "Dataset automatically created during the evaluation run of model [ZoidBB/MultiKory-0.1-4x11b-pre1](https://huggingface.co/ZoidBB/MultiKory-0.1-4x11b-pre1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2024-02-05T08:10:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of ZoidBB/MultiKory-0.1-4x11b-pre1
Dataset automatically created during the evaluation run of model ZoidBB/MultiKory-0.1-4x11b-pre1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been c... | [
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32e73ffb31aa55c9b6ca57c34c9dd96d2639e297 |
This dataset was intended to to be used for finetuning the nepali text summerization task.
Feel free to contribute to this readme to add any information | sanjeev-bhandari01/nepali-summarization-dataset | [
"task_categories:summarization",
"task_categories:text2text-generation",
"language:ne",
"license:wtfpl",
"nepali",
"np",
"nepali-text-summerizatio",
"article-title",
"region:us"
] | 2024-02-05T08:33:30+00:00 | {"language": ["ne"], "license": "wtfpl", "task_categories": ["summarization", "text2text-generation"], "pretty_name": "Nepali summerizatio dataset ", "tags": ["nepali", "np", "nepali-text-summerizatio", "article-title"]} | 2024-02-09T11:27:38+00:00 | [] | [
"ne"
] | TAGS
#task_categories-summarization #task_categories-text2text-generation #language-Nepali (macrolanguage) #license-wtfpl #nepali #np #nepali-text-summerizatio #article-title #region-us
|
This dataset was intended to to be used for finetuning the nepali text summerization task.
Feel free to contribute to this readme to add any information | [] | [
"TAGS\n#task_categories-summarization #task_categories-text2text-generation #language-Nepali (macrolanguage) #license-wtfpl #nepali #np #nepali-text-summerizatio #article-title #region-us \n"
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65
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"passage: TAGS\n#task_categories-summarization #task_categories-text2text-generation #language-Nepali (macrolanguage) #license-wtfpl #nepali #np #nepali-text-summerizatio #article-title #region-us \n"
] |
3dc112587f6e508c01ef29bb9d3b599f56006bf2 |
# Dataset Card for Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [dddsaty/SOLAR_Merge_Adapter_DPO_Orca](https://huggingface.co/dddsaty/SOLAR_Merge_Adapter_DPO_Orca) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_dddsaty__SOLAR_Merge_Adapter_DPO_Orca | [
"region:us"
] | 2024-02-05T08:50:36+00:00 | {"pretty_name": "Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca", "dataset_summary": "Dataset automatically created during the evaluation run of model [dddsaty/SOLAR_Merge_Adapter_DPO_Orca](https://huggingface.co/dddsaty/SOLAR_Merge_Adapter_DPO_Orca) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-02-05T08:51:01+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca
Dataset automatically created during the evaluation run of model dddsaty/SOLAR_Merge_Adapter_DPO_Orca on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
"# Dataset Card for Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca\n\n\n\nDataset automatically created during the evaluation run of model dddsaty/SOLAR_Merge_Adapter_DPO_Orca on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\n... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca\n\n\n\nDataset automatically created during the evaluation run of model dddsaty/SOLAR_Merge_Adapter_DPO_Orca on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one o... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of dddsaty/SOLAR_Merge_Adapter_DPO_Orca\n\n\n\nDataset automatically created during the evaluation run of model dddsaty/SOLAR_Merge_Adapter_DPO_Orca on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to on... |
52096d395c0c340bc6e015daf291472bdc9238bd |
# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered](https://huggingface.co/sonthenguyen/Open... | open-llm-leaderboard/details_sonthenguyen__OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered | [
"region:us"
] | 2024-02-05T08:51:05+00:00 | {"pretty_name": "Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered", "dataset_summary": "Dataset automatically created during the evaluation run of model [sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered](https://huggingface.co/sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-D... | 2024-02-05T08:51:31+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered
Dataset automatically created during the evaluation run of model sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresp... | [
"# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered\n\n\n\nDataset automatically created during the evaluation run of model sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered\n\n\n\nDataset automatically created during the evaluation run of model sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered on the Open LLM Leaderboard.\n\nThe dataset is composed o... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered\n\n\n\nDataset automatically created during the evaluation run of model sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered on the Open LLM Leaderboard.\n\nThe dataset is compose... |
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