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3a55dd1ee9f3bf5254cdf62280c52e43b2ef7d06 |
# Gnosis
This dataset was provided by jeiku | Epiculous/Gnosis | [
"language:en",
"license:agpl-3.0",
"region:us"
] | 2024-01-21T21:53:16+00:00 | {"language": ["en"], "license": "agpl-3.0"} | 2024-02-04T17:31:35+00:00 | [] | [
"en"
] | TAGS
#language-English #license-agpl-3.0 #region-us
|
# Gnosis
This dataset was provided by jeiku | [
"# Gnosis\n\nThis dataset was provided by jeiku"
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67b329efa1185ec85ba0bc07301302999450bce8 |
# Dataset of sarya (Granblue Fantasy)
This is the dataset of sarya (Granblue Fantasy), containing 47 images and their tags.
The core tags of this character are `long_hair, horns, pointy_ears, breasts, glasses, ponytail, large_breasts, blonde_hair, green_eyes, ribbon, hair_ribbon, bow, brown_hair`, which are pruned i... | CyberHarem/sarya_granbluefantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-21T22:03:24+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-21T22:12:22+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of sarya (Granblue Fantasy)
===================================
This is the dataset of sarya (Granblue Fantasy), containing 47 images and their tags.
The core tags of this character are 'long\_hair, horns, pointy\_ears, breasts, glasses, ponytail, large\_breasts, blonde\_hair, green\_eyes, ribbon, hair\_rib... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
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"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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98211953a6d65499ef8b2aa6ca745c860987ea90 |
# Dataset of erin (Granblue Fantasy)
This is the dataset of erin (Granblue Fantasy), containing 25 images and their tags.
The core tags of this character are `long_hair, pointy_ears, blue_eyes, hair_ornament, bangs, blue_hair, breasts, very_long_hair`, which are pruned in this dataset.
Images are crawled from many ... | CyberHarem/erin_granbluefantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-21T22:03:26+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-21T22:08:15+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of erin (Granblue Fantasy)
==================================
This is the dataset of erin (Granblue Fantasy), containing 25 images and their tags.
The core tags of this character are 'long\_hair, pointy\_ears, blue\_eyes, hair\_ornament, bangs, blue\_hair, breasts, very\_long\_hair', which are pruned in thi... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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27869811a6af04569e955665365c52f7dcaf3528 | # lilac/lmsys-chat-1m
This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/lmsys/lmsys-chat-1m](https://huggingface.co/datasets/lmsys/lmsys-chat-1m)
To download the dataset to a local directory:
```bash
lilac download lilacai/lilac-lmsys-chat-1m
```
or f... | lilacai/lilac-lmsys-chat-1m | [
"Lilac",
"region:us"
] | 2024-01-21T22:11:24+00:00 | {"tags": ["Lilac"]} | 2024-01-29T16:09:29+00:00 | [] | [] | TAGS
#Lilac #region-us
| # lilac/lmsys-chat-1m
This dataset is a Lilac processed dataset. Original dataset: URL
To download the dataset to a local directory:
or from python with:
| [
"# lilac/lmsys-chat-1m\nThis dataset is a Lilac processed dataset. Original dataset: URL\n\nTo download the dataset to a local directory:\n\n\n\nor from python with:"
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"TAGS\n#Lilac #region-us \n",
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] |
42c6d7830d5c28c41905cca51994f54891418a59 |
# Dataset Card for Evaluation run of chargoddard/internlm2-base-7b-llama
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [chargoddard/internlm2-base-7b-llama](https://huggingface.co/chargoddard/internlm2-base-7b-llama) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_chargoddard__internlm2-base-7b-llama | [
"region:us"
] | 2024-01-21T22:13:35+00:00 | {"pretty_name": "Evaluation run of chargoddard/internlm2-base-7b-llama", "dataset_summary": "Dataset automatically created during the evaluation run of model [chargoddard/internlm2-base-7b-llama](https://huggingface.co/chargoddard/internlm2-base-7b-llama) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2024-01-21T22:13:55+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of chargoddard/internlm2-base-7b-llama
Dataset automatically created during the evaluation run of model chargoddard/internlm2-base-7b-llama on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
"# Dataset Card for Evaluation run of chargoddard/internlm2-base-7b-llama\n\n\n\nDataset automatically created during the evaluation run of model chargoddard/internlm2-base-7b-llama on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nTh... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of chargoddard/internlm2-base-7b-llama\n\n\n\nDataset automatically created during the evaluation run of model chargoddard/internlm2-base-7b-llama on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of ... | [
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1fc3cf7b38e57b1207edd395f4d9edab58e3c68a | This dataset is based on the Japanese version of Wikipedia dataset and converted into a multi-turn conversation format using llama2Pro8B.
Since it is a llama2 license, it can be used commercially for services.
Some strange dialogue may be included as it has not been screened by humans.
We generated over 80,000 conver... | shi3z/ja_conv_wikipedia_llama2pro8b_30k | [
"task_categories:conversational",
"size_categories:10K<n<100K",
"language:ja",
"license:llama2",
"region:us"
] | 2024-01-21T22:14:41+00:00 | {"language": ["ja"], "license": "llama2", "size_categories": ["10K<n<100K"], "task_categories": ["conversational"]} | 2024-01-21T22:16:01+00:00 | [] | [
"ja"
] | TAGS
#task_categories-conversational #size_categories-10K<n<100K #language-Japanese #license-llama2 #region-us
| This dataset is based on the Japanese version of Wikipedia dataset and converted into a multi-turn conversation format using llama2Pro8B.
Since it is a llama2 license, it can be used commercially for services.
Some strange dialogue may be included as it has not been screened by humans.
We generated over 80,000 conver... | [
"# Model\nURL",
"# Dataset\nURL",
"# Compute by\nTsuginosuke AI SuperComputer\nFreeAI Ltd.\n\nURL"
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"# Model\nURL",
"# Dataset\nURL",
"# Compute by\nTsuginosuke AI SuperComputer\nFreeAI Ltd.\n\nURL"
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] |
7b08bf5cbbadde21cccc099f584441ae654e9b47 |
# Basic Math 1M
A dataset of 1 million basic arithmetic problems with potential user prompts. See [the numerical version](https://huggingface.co/datasets/lmlab/basic-math-1m-numerical) for a version with only numbers.
## License
Basic Math 1M is dual-licensed under the GNU GPL license and the CC-BY-SA 4.0 license, ... | lmlab/basic-math-1m | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-sa-4.0",
"license:gpl",
"math",
"region:us"
] | 2024-01-21T22:20:56+00:00 | {"language": ["en"], "license": ["cc-by-sa-4.0", "gpl"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation", "text2text-generation"], "pretty_name": "Basic Math 1M", "tags": ["math"]} | 2024-01-22T21:56:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-cc-by-sa-4.0 #license-gpl #math #region-us
|
# Basic Math 1M
A dataset of 1 million basic arithmetic problems with potential user prompts. See the numerical version for a version with only numbers.
## License
Basic Math 1M is dual-licensed under the GNU GPL license and the CC-BY-SA 4.0 license, you may choose either at your choice. If you are interested in in... | [
"# Basic Math 1M\n\nA dataset of 1 million basic arithmetic problems with potential user prompts. See the numerical version for a version with only numbers.",
"## License\n\nBasic Math 1M is dual-licensed under the GNU GPL license and the CC-BY-SA 4.0 license, you may choose either at your choice. If you are inte... | [
"TAGS\n#task_categories-text-generation #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-cc-by-sa-4.0 #license-gpl #math #region-us \n",
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06a1ee4bbf27eb7a27fb7e3efec3351cce1b2054 |
# Dataset of linaria (Granblue Fantasy)
This is the dataset of linaria (Granblue Fantasy), containing 23 images and their tags.
The core tags of this character are `bow, hair_bow, pink_hair, bangs, purple_hair, hair_bun, red_bow, sidelocks`, which are pruned in this dataset.
Images are crawled from many sites (e.g.... | CyberHarem/linaria_granbluefantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-21T22:26:32+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-21T22:31:41+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of linaria (Granblue Fantasy)
=====================================
This is the dataset of linaria (Granblue Fantasy), containing 23 images and their tags.
The core tags of this character are 'bow, hair\_bow, pink\_hair, bangs, purple\_hair, hair\_bun, red\_bow, sidelocks', which are pruned in this dataset.... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
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"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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f6136500d45b69c45fd31b6ffe7c8e8565a9e6ad |
# Dataset of laguna (Granblue Fantasy)
This is the dataset of laguna (Granblue Fantasy), containing 37 images and their tags.
The core tags of this character are `blonde_hair, horns, pointy_ears, short_hair, breasts, hair_over_one_eye, large_breasts, blue_eyes`, which are pruned in this dataset.
Images are crawled ... | CyberHarem/laguna_granbluefantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-21T22:26:44+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-21T22:34:21+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of laguna (Granblue Fantasy)
====================================
This is the dataset of laguna (Granblue Fantasy), containing 37 images and their tags.
The core tags of this character are 'blonde\_hair, horns, pointy\_ears, short\_hair, breasts, hair\_over\_one\_eye, large\_breasts, blue\_eyes', which are ... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
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73714bbab6f21677e74c1afba2673549f17cddbd |
# Basic Math 1M Numerical
A dataset of 1 million basic arithmetic problems with only numbers. See [the original version](https://huggingface.co/datasets/lmlab/basic-math-1m) for a version with potential prompts as well.
## License
Basic Math 1M Numerical is dual-licensed under the GNU GPL license and the CC-BY-SA 4... | lmlab/basic-math-1m-numerical | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-sa-4.0",
"license:gpl",
"math",
"region:us"
] | 2024-01-21T22:28:14+00:00 | {"language": ["en"], "license": ["cc-by-sa-4.0", "gpl"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation", "text2text-generation"], "pretty_name": "Basic Math 1M", "tags": ["math"]} | 2024-01-22T21:56:50+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-cc-by-sa-4.0 #license-gpl #math #region-us
|
# Basic Math 1M Numerical
A dataset of 1 million basic arithmetic problems with only numbers. See the original version for a version with potential prompts as well.
## License
Basic Math 1M Numerical is dual-licensed under the GNU GPL license and the CC-BY-SA 4.0 license, you may choose either at your choice. If yo... | [
"# Basic Math 1M Numerical\n\nA dataset of 1 million basic arithmetic problems with only numbers. See the original version for a version with potential prompts as well.",
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88867a9c95313eb278501c1355ad600a3a5869c1 |
# Dataset of selfira (Granblue Fantasy)
This is the dataset of selfira (Granblue Fantasy), containing 11 images and their tags.
The core tags of this character are `animal_ears, red_hair, long_hair, bangs, breasts, ponytail, mole, medium_breasts, brown_eyes, mole_under_eye, brown_hair`, which are pruned in this data... | CyberHarem/selfira_granbluefantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-21T23:02:16+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-21T23:04:10+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of selfira (Granblue Fantasy)
=====================================
This is the dataset of selfira (Granblue Fantasy), containing 11 images and their tags.
The core tags of this character are 'animal\_ears, red\_hair, long\_hair, bangs, breasts, ponytail, mole, medium\_breasts, brown\_eyes, mole\_under\_eye... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
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206387fb38f7f38f3d102a40be0987e7d547f7ee |
# Dataset Card for Evaluation run of abhishekchohan/mistral-7B-forest-merge
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abhishekchohan/mistral-7B-forest-merge](https://huggingface.co/abhishekchohan/mistral-7B-forest-merge) on the [Open LLM Leader... | open-llm-leaderboard/details_abhishekchohan__mistral-7B-forest-merge | [
"region:us"
] | 2024-01-21T23:21:35+00:00 | {"pretty_name": "Evaluation run of abhishekchohan/mistral-7B-forest-merge", "dataset_summary": "Dataset automatically created during the evaluation run of model [abhishekchohan/mistral-7B-forest-merge](https://huggingface.co/abhishekchohan/mistral-7B-forest-merge) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2024-01-21T23:26:00+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of abhishekchohan/mistral-7B-forest-merge
Dataset automatically created during the evaluation run of model abhishekchohan/mistral-7B-forest-merge 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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e5ab116e3f0827cdb98d437aa2706585ede20975 | # Dataset Card for "hub-report-raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Kevinger/hub-report-raw | [
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# Dataset Card for Evaluation run of abhishekchohan/mistral-7B-med-merge
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abhishekchohan/mistral-7B-med-merge](https://huggingface.co/abhishekchohan/mistral-7B-med-merge) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_abhishekchohan__mistral-7B-med-merge | [
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# Dataset Card for Evaluation run of abhishekchohan/mistral-7B-med-merge
Dataset automatically created during the evaluation run of model abhishekchohan/mistral-7B-med-merge on the Open LLM Leaderboard.
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# 한국어 모델 캘리브레이션용 데이터셋
허깅페이스에 올라와 있는 다양한 한국어 데이터셋이 사용되었습니다. | maywell/ko-calibration | [
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# Dataset Card for Evaluation run of lodrick-the-lafted/Grafted-Llama2-2x70B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [lodrick-the-lafted/Grafted-Llama2-2x70B](https://huggingface.co/lodrick-the-lafted/Grafted-Llama2-2x70B) on the [Open LLM Lea... | open-llm-leaderboard/details_lodrick-the-lafted__Grafted-Llama2-2x70B | [
"region:us"
] | 2024-01-22T00:43:36+00:00 | {"pretty_name": "Evaluation run of lodrick-the-lafted/Grafted-Llama2-2x70B", "dataset_summary": "Dataset automatically created during the evaluation run of model [lodrick-the-lafted/Grafted-Llama2-2x70B](https://huggingface.co/lodrick-the-lafted/Grafted-Llama2-2x70B) on the [Open LLM Leaderboard](https://huggingface.co... | 2024-01-22T00:43:56+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of lodrick-the-lafted/Grafted-Llama2-2x70B
Dataset automatically created during the evaluation run of model lodrick-the-lafted/Grafted-Llama2-2x70B on the Open LLM Leaderboard.
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# PMData Dataset
## About Dataset
Paper: <https://dl.acm.org/doi/10.1145/3339825.3394926>
In this dataset, we present the PMData dataset that aims to combine traditional lifelogging with sports activity logging. Such a dataset enables the development of several interesting analysis applications, e.g., where additio... | aai530-group6/pmdata | [
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# PMData Dataset
## About Dataset
Paper: <URL
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# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | LeeDaeSeong/HPMP | [
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This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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1f8165f7dd18b232a77c0427f9f1fa51378e2bdc | # Dataset Card for CHOCOLATE
- [Dataset Description](https://huggingface.co/datasets/khhuang/CHOCOLATE/blob/main/README.md#dataset-description)
- [Paper Information](https://huggingface.co/datasets/khhuang/CHOCOLATE/blob/main/README.md#paper-information)
- [Citation](https://huggingface.co/datasets/khhuang/CHOCOLATE/b... | khhuang/CHOCOLATE | [
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a88419d84aa7192c680bb2116356e4b0ea135ee0 | I modified https://huggingface.co/datasets/IlyaGusev/pippa_scored so that it can be used as training data.
http://openerotica.etsy.com/
https://www.patreon.com/openerotica | openerotica/pippa_scored2sharegpt | [
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# Pandora RLHF
A Reinforcement Learning from Human Feedback (RLHF) dataset for Direct Preference Optimization (DPO) fine-tuning of the Pandora Large Language Model (LLM).
The dataset is based on the [anthropic/hh-rlhf](https://huggingface.co/datasets/anthropic/hh-rlhf) dataset.
## Copyright and license
Copyright (... | danilopeixoto/pandora-rlhf | [
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# Pandora RLHF
A Reinforcement Learning from Human Feedback (RLHF) dataset for Direct Preference Optimization (DPO) fine-tuning of the Pandora Large Language Model (LLM).
The dataset is based on the anthropic/hh-rlhf dataset.
## Copyright and license
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# Dataset Card for Evaluation run of Vasanth/Beast-Soul
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Vasanth/Beast-Soul](https://huggingface.co/Vasanth/Beast-Soul) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_... | open-llm-leaderboard/details_Vasanth__Beast-Soul | [
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# Dataset Card for Evaluation run of Vasanth/Beast-Soul
Dataset automatically created during the evaluation run of model Vasanth/Beast-Soul on the Open LLM Leaderboard.
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# Dataset Card for Evaluation run of Weyaxi/Stellaris-internlm2-20b-r128
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/Stellaris-internlm2-20b-r128](https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r128) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_Weyaxi__Stellaris-internlm2-20b-r128 | [
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] | 2024-01-22T02:04:52+00:00 | {"pretty_name": "Evaluation run of Weyaxi/Stellaris-internlm2-20b-r128", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/Stellaris-internlm2-20b-r128](https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r128) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2024-01-22T02:05:17+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Weyaxi/Stellaris-internlm2-20b-r128
Dataset automatically created during the evaluation run of model Weyaxi/Stellaris-internlm2-20b-r128 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
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# Dataset Card for Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31](https://huggingface.co/kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0... | open-llm-leaderboard/details_kimwooglae__AISquare-Instruct-SOLAR-10.7b-v0.5.31 | [
"region:us"
] | 2024-01-22T02:16:14+00:00 | {"pretty_name": "Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31", "dataset_summary": "Dataset automatically created during the evaluation run of model [kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31](https://huggingface.co/kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31) on the [Open LLM Leaderbo... | 2024-01-22T02:16:36+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31
Dataset automatically created during the evaluation run of model kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.31 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
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# Dataset Card for Evaluation run of andysalerno/cloudymixtral7Bx2-nectar-0.2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [andysalerno/cloudymixtral7Bx2-nectar-0.2](https://huggingface.co/andysalerno/cloudymixtral7Bx2-nectar-0.2) on the [Open LLM ... | open-llm-leaderboard/details_andysalerno__cloudymixtral7Bx2-nectar-0.2 | [
"region:us"
] | 2024-01-22T02:17:24+00:00 | {"pretty_name": "Evaluation run of andysalerno/cloudymixtral7Bx2-nectar-0.2", "dataset_summary": "Dataset automatically created during the evaluation run of model [andysalerno/cloudymixtral7Bx2-nectar-0.2](https://huggingface.co/andysalerno/cloudymixtral7Bx2-nectar-0.2) on the [Open LLM Leaderboard](https://huggingface... | 2024-01-22T02:20:23+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of andysalerno/cloudymixtral7Bx2-nectar-0.2
Dataset automatically created during the evaluation run of model andysalerno/cloudymixtral7Bx2-nectar-0.2 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 Description
We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patient... | aai530-group6/ddxplus-french | [
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"health... | 2024-01-22T02:17:41+00:00 | {"language": ["fr"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["tabular-classification"], "task_ids": ["multi-class-classification"], "paperswithcode_id": "ddxplus", "pretty_name": "DDXPlus", "license_link": "https://creativecommons.org/licenses/by/4.0... | 2024-01-22T03:35:29+00:00 | [
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|
# Dataset Description
We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patient... | [
"# Dataset Description\n\nWe are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. P... | [
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d180f35e87fbc77d99133cc901ddc340fe78ad78 |
# Dataset Card for Evaluation run of antiven0m/brugle-rp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [antiven0m/brugle-rp](https://huggingface.co/antiven0m/brugle-rp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_l... | open-llm-leaderboard/details_antiven0m__brugle-rp | [
"region:us"
] | 2024-01-22T02:21:29+00:00 | {"pretty_name": "Evaluation run of antiven0m/brugle-rp", "dataset_summary": "Dataset automatically created during the evaluation run of model [antiven0m/brugle-rp](https://huggingface.co/antiven0m/brugle-rp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset ... | 2024-01-22T02:21:50+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of antiven0m/brugle-rp
Dataset automatically created during the evaluation run of model antiven0m/brugle-rp 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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# Dataset Card for Evaluation run of Weyaxi/Stellaris-internlm2-20b-r256
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/Stellaris-internlm2-20b-r256](https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r256) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_Weyaxi__Stellaris-internlm2-20b-r256 | [
"region:us"
] | 2024-01-22T02:32:34+00:00 | {"pretty_name": "Evaluation run of Weyaxi/Stellaris-internlm2-20b-r256", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/Stellaris-internlm2-20b-r256](https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r256) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2024-01-22T02:32:56+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Weyaxi/Stellaris-internlm2-20b-r256
Dataset automatically created during the evaluation run of model Weyaxi/Stellaris-internlm2-20b-r256 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
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# Dataset Card for "mlqa"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
-... | TheTung/mlqa | [
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"language... | 2024-01-22T02:35:45+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en", "de", "es", "ar", "zh", "vi", "hi"], "license": ["cc-by-sa-3.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task... | 2024-01-22T02:42:54+00:00 | [] | [
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=======================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ ... | [
"### Dataset Summary\n\n\n\n```\nMLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.\nMLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic,\nGerman, Spanish, Hindi, Vietnamese and... | [
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# Dataset Card for Evaluation run of Weyaxi/Stellaris-internlm2-20b-r512
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/Stellaris-internlm2-20b-r512](https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r512) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_Weyaxi__Stellaris-internlm2-20b-r512 | [
"region:us"
] | 2024-01-22T02:35:49+00:00 | {"pretty_name": "Evaluation run of Weyaxi/Stellaris-internlm2-20b-r512", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/Stellaris-internlm2-20b-r512](https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r512) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2024-01-22T02:36:15+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Weyaxi/Stellaris-internlm2-20b-r512
Dataset automatically created during the evaluation run of model Weyaxi/Stellaris-internlm2-20b-r512 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
"# Dataset Card for Evaluation run of Weyaxi/Stellaris-internlm2-20b-r512\n\n\n\nDataset automatically created during the evaluation run of model Weyaxi/Stellaris-internlm2-20b-r512 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nTh... | [
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9a8677238e0b6ec76e94a522152e20a790f93405 | arXiv subset from MathPile_Commercial. Filtered for samples that are **8192 or less** in tokens length based on the Mistral tokenizer. | vilm/MathPile-arXiv-medium | [
"region:us"
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| arXiv subset from MathPile_Commercial. Filtered for samples that are 8192 or less in tokens length based on the Mistral tokenizer. | [] | [
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b4b6ca8a7aad867295cfe8d5b245f09a26d6483f |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | tanibt/crowne_plaza | [
"region:us"
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#region-us
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# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Shared by [optional]:
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89fe7cc1ddde1a0d86f30fd2da5af3f6aba6cf61 |
# BEE-spoke-data/sbert-paraphrase-data
Paraphrase data from [sentence-transformers](https://www.sbert.net/examples/training/paraphrases/README.html#datasets)
## contents
### default
| No. | Filename |
|-----|---------------------------------------------------... | BEE-spoke-data/sbert-paraphrase-data | [
"task_categories:sentence-similarity",
"size_categories:100M<n<1B",
"language:en",
"license:odc-by",
"region:us"
] | 2024-01-22T02:59:19+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["100M<n<1B"], "task_categories": ["sentence-similarity"], "dataset_info": [{"config_name": "default", "features": [{"name": "0", "dtype": "string"}, {"name": "1", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23655222164, "num_examples": 142... | 2024-01-30T08:16:26+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #size_categories-100M<n<1B #language-English #license-odc-by #region-us
| BEE-spoke-data/sbert-paraphrase-data
====================================
Paraphrase data from sentence-transformers
contents
--------
### default
### triplets
| [
"### default",
"### triplets"
] | [
"TAGS\n#task_categories-sentence-similarity #size_categories-100M<n<1B #language-English #license-odc-by #region-us \n",
"### default",
"### triplets"
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"passage: TAGS\n#task_categories-sentence-similarity #size_categories-100M<n<1B #language-English #license-odc-by #region-us \n### default### triplets"
] |
2ad986acc1ec62fb4a94171acc43f4fdd5bfde53 |
# Dataset Description
We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patient... | aai530-group6/ddxplus | [
"task_categories:tabular-classification",
"task_ids:multi-class-classification",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"automatic-diagnosis",
"automatic-symptom-detection",
"differential-diagnosis",
"synthetic-patients",
"diseases",
"health... | 2024-01-22T03:37:14+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["tabular-classification"], "task_ids": ["multi-class-classification"], "paperswithcode_id": "ddxplus", "pretty_name": "DDXPlus", "license_link": "https://creativecommons.org/licenses/by/4.0... | 2024-01-22T03:48:18+00:00 | [
"2205.09148"
] | [
"en"
] | TAGS
#task_categories-tabular-classification #task_ids-multi-class-classification #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #automatic-diagnosis #automatic-symptom-detection #differential-diagnosis #synthetic-patients #diseases #health-care #arxiv-2205.09148 #region-us
|
# Dataset Description
We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patient... | [
"# Dataset Description\n\nWe are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. P... | [
"TAGS\n#task_categories-tabular-classification #task_ids-multi-class-classification #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #automatic-diagnosis #automatic-symptom-detection #differential-diagnosis #synthetic-patients #diseases #health-care #arxiv-2205.09148 #region-... | [
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5f1f2021485bb9d397d72af7a0165e0a4223b923 | Optical flows associated with our work "We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline"
See the [github](https://github.com/SimarKareer/UnifiedVideoDA) for full instructions, but to install run
```bash
git lfs install
git clone https://huggingface.co/datasets/hoffman-lab/Un... | hoffman-lab/Unified-VideoDA-Generated-Flows | [
"region:us"
] | 2024-01-22T03:50:49+00:00 | {} | 2024-01-28T01:02:47+00:00 | [] | [] | TAGS
#region-us
| Optical flows associated with our work "We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline"
See the github for full instructions, but to install run
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
196f18dd036583ab40e4f7d74696f495f6a178f8 |
# Dataset of Jeanne d'Arc (Dark) (Granblue Fantasy)
This is the dataset of Jeanne d'Arc (Dark) (Granblue Fantasy), containing 74 images and their tags.
The core tags of this character are `long_hair, hair_ornament, breasts, white_hair, red_eyes, large_breasts, bangs, hair_flower, medium_breasts, very_long_hair, wing... | CyberHarem/dark_jeanne_granbluefantasy | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-22T03:57:04+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-22T04:11:03+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Jeanne d'Arc (Dark) (Granblue Fantasy)
=================================================
This is the dataset of Jeanne d'Arc (Dark) (Granblue Fantasy), containing 74 images and their tags.
The core tags of this character are 'long\_hair, hair\_ornament, breasts, white\_hair, red\_eyes, large\_breasts, ba... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
"### Table Version... | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n",
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n... | [
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"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\... |
158d0a690d51f9a8e6f61d55dd30105c67eefb8e |
Two types of questions are in this dataset.
* Synthetic generated questions and answers from Chatgpt 3.5 Turbo on US History.
* This included a python script to first randomly select a date between 1607-2020. Then generate a historical question
from that date. Repeated 3000 times.
* This is along with a curate... | ambrosfitz/mighty-history-merge | [
"license:cc-by-4.0",
"region:us"
] | 2024-01-22T04:27:12+00:00 | {"license": "cc-by-4.0"} | 2024-01-25T23:43:43+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
Two types of questions are in this dataset.
* Synthetic generated questions and answers from Chatgpt 3.5 Turbo on US History.
* This included a python script to first randomly select a date between 1607-2020. Then generate a historical question
from that date. Repeated 3000 times.
* This is along with a curate... | [
"## Generating Chunks\n\nChunking the sizes helps depending if you want to modify the llm to something with a larger token window. I tried to keep mine within the\ntoken limit of ChatGPT 3.5 Turbo 1106 for the larger context window.",
"## Generating text (questions and answers) and formating\n\nUsing the chatgpt ... | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"## Generating Chunks\n\nChunking the sizes helps depending if you want to modify the llm to something with a larger token window. I tried to keep mine within the\ntoken limit of ChatGPT 3.5 Turbo 1106 for the larger context window.",
"## Generating text (questions and ... | [
15,
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"passage: TAGS\n#license-cc-by-4.0 #region-us \n## Generating Chunks\n\nChunking the sizes helps depending if you want to modify the llm to something with a larger token window. I tried to keep mine within the\ntoken limit of ChatGPT 3.5 Turbo 1106 for the larger context window.## Generating text (questions and ans... |
c1ada1560eea70c9fa352792222cf28418f54b04 |
...
dataset_info:
features:
- name: id
dtype: string
- name: Label
dtype: string | aidystark/FOOT40K | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-22T04:28:26+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["image-classification"], "pretty_name": "FOOT40k"} | 2024-01-22T11:27:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
...
dataset_info:
features:
- name: id
dtype: string
- name: Label
dtype: string | [] | [
"TAGS\n#task_categories-image-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
] | [
41
] | [
"passage: TAGS\n#task_categories-image-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
] |
7e625c4f95bd52d7147d6fc97d7829fab59ec976 | # Dataset Card for "processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | loganengstrom/dsdm-candidate-c4 | [
"region:us"
] | 2024-01-22T04:38:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "uint16"}], "splits": [{"name": "train", "num_bytes": 445178826792, "num_examples": 216948746}], "download_size": 0, "dataset_size": 445178826792}} | 2024-01-23T10:42:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed"
More Information needed | [
"# Dataset Card for \"processed\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"processed\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"processed\"\n\nMore Information needed"
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53dbb883a0a484a96c3d0e6d40b881c8f59c4c7b |
This dataset was generated by reformatting [`coref-data/arrau_raw`](https://huggingface.co/datasets/coref-data/arrau_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion details and the conversion s... | coref-data/arrau_indiscrim | [
"region:us"
] | 2024-01-22T04:44:39+00:00 | {"dataset_info": {"features": [{"name": "split", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "sentences", "list": [{"name": "id", "dtype": "int64"}, {"name": "misc", "struct": [{"name": "parse_tree", "dtype": "string"}]}, {"name": "speaker", "dtype": "null"}, {"n... | 2024-02-13T04:15:47+00:00 | [] | [] | TAGS
#region-us
|
This dataset was generated by reformatting 'coref-data/arrau_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
ab2187f93350722902a1364341aeaf1e2a02fc3d |
# Dataset Card for Evaluation run of inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24](https://huggingface.co/inswave/AISquare-Instruct-llama2-koen-13b... | open-llm-leaderboard/details_inswave__AISquare-Instruct-llama2-koen-13b-v0.9.24 | [
"region:us"
] | 2024-01-22T04:46:42+00:00 | {"pretty_name": "Evaluation run of inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24", "dataset_summary": "Dataset automatically created during the evaluation run of model [inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24](https://huggingface.co/inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24) on the [Open LLM Leade... | 2024-01-22T04:47:02+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24
Dataset automatically created during the evaluation run of model inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the eva... | [
"# Dataset Card for Evaluation run of inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24\n\n\n\nDataset automatically created during the evaluation run of model inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24\n\n\n\nDataset automatically created during the evaluation run of model inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24 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 inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24\n\n\n\nDataset automatically created during the evaluation run of model inswave/AISquare-Instruct-llama2-koen-13b-v0.9.24 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, e... |
8376f494f02a85d47069d61c351c27d7bbe72451 |
# Dataset Card for Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32](https://huggingface.co/kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0... | open-llm-leaderboard/details_kimwooglae__AISquare-Instruct-SOLAR-10.7b-v0.5.32 | [
"region:us"
] | 2024-01-22T05:00:03+00:00 | {"pretty_name": "Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32", "dataset_summary": "Dataset automatically created during the evaluation run of model [kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32](https://huggingface.co/kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32) on the [Open LLM Leaderbo... | 2024-01-22T05:00:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32
Dataset automatically created during the evaluation run of model kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32 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 kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32\n\n\n\nDataset automatically created during the evaluation run of model kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32\n\n\n\nDataset automatically created during the evaluation run of model kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each o... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32\n\n\n\nDataset automatically created during the evaluation run of model kimwooglae/AISquare-Instruct-SOLAR-10.7b-v0.5.32 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, eac... |
98b6c399e15088041c7a4bb0efc861c762a77a05 |
This dataset was generated by reformatting [`coref-data/phrase_detectives_raw`](https://huggingface.co/datasets/coref-data/phrase_detectives_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion deta... | coref-data/phrase_detectives_indiscrim | [
"region:us"
] | 2024-01-22T05:09:50+00:00 | {"dataset_info": {"features": [{"name": "sentences", "list": [{"name": "id", "dtype": "int64"}, {"name": "speaker", "dtype": "null"}, {"name": "text", "dtype": "string"}, {"name": "tokens", "list": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}]}]}, {"name": "coref_chains", "sequence": {"sequenc... | 2024-01-22T05:09:53+00:00 | [] | [] | TAGS
#region-us
|
This dataset was generated by reformatting 'coref-data/phrase_detectives_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questi... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
1f1f6cfa167165944ee5f388e7c6ef412406c052 |
This dataset was generated by reformatting [`coref-data/korean_ecmt_raw`](https://huggingface.co/datasets/coref-data/korean_ecmt_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion details and the ... | coref-data/korean_ecmt_indiscrim | [
"region:us"
] | 2024-01-22T05:20:21+00:00 | {"dataset_info": {"features": [{"name": "sentences", "list": [{"name": "id", "dtype": "int64"}, {"name": "speaker", "dtype": "null"}, {"name": "text", "dtype": "string"}, {"name": "tokens", "list": [{"name": "id", "dtype": "int64"}, {"name": "lemma", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "xp... | 2024-01-22T05:21:37+00:00 | [] | [] | TAGS
#region-us
|
This dataset was generated by reformatting 'coref-data/korean_ecmt_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
118b64c21ee3e807b46c0ec3f23022f51d65b7c0 |
# Dataset Card for Evaluation run of LordNoah/Alpaca-tuned-gpt2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [LordNoah/Alpaca-tuned-gpt2](https://huggingface.co/LordNoah/Alpaca-tuned-gpt2) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_LordNoah__Alpaca-tuned-gpt2 | [
"region:us"
] | 2024-01-22T05:38:24+00:00 | {"pretty_name": "Evaluation run of LordNoah/Alpaca-tuned-gpt2", "dataset_summary": "Dataset automatically created during the evaluation run of model [LordNoah/Alpaca-tuned-gpt2](https://huggingface.co/LordNoah/Alpaca-tuned-gpt2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2024-01-22T05:38:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of LordNoah/Alpaca-tuned-gpt2
Dataset automatically created during the evaluation run of model LordNoah/Alpaca-tuned-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 fro... | [
"# Dataset Card for Evaluation run of LordNoah/Alpaca-tuned-gpt2\n\n\n\nDataset automatically created during the evaluation run of model LordNoah/Alpaca-tuned-gpt2 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 LordNoah/Alpaca-tuned-gpt2\n\n\n\nDataset automatically created during the evaluation run of model LordNoah/Alpaca-tuned-gpt2 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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b974c2242204240c63ed7becc407fb3d9388028d |
This dataset was generated by reformatting [`coref-data/mmc_raw`](https://huggingface.co/datasets/coref-data/mmc_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion details and the conversion scrip... | coref-data/mmc_indiscrim | [
"region:us"
] | 2024-01-22T05:59:43+00:00 | {"dataset_info": [{"config_name": "mmc_en", "features": [{"name": "sentences", "list": [{"name": "id", "dtype": "int64"}, {"name": "misc", "struct": [{"name": "parse_tree", "dtype": "string"}]}, {"name": "speaker", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "tokens", "list": [{"name": "deprel", "... | 2024-02-13T04:04:52+00:00 | [] | [] | TAGS
#region-us
|
This dataset was generated by reformatting 'coref-data/mmc_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.
| [] | [
"TAGS\n#region-us \n"
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59e92a9f79d72813c9b6111c5b492ec9c12adfa3 | # MMCBench Dataset: Benchmarking Dataset for Multimodal Model Evaluation 🚀
## Overview
The MMCBench Dataset is a curated collection of data designed for the comprehensive evaluation of Large Multimodal Models (LMMs) under common corruption scenarios. This dataset supports the MMCBench framework, focusing on cross-mo... | javyduck/MMCBench | [
"region:us"
] | 2024-01-22T06:02:41+00:00 | {} | 2024-01-23T05:55:21+00:00 | [] | [] | TAGS
#region-us
| # MMCBench Dataset: Benchmarking Dataset for Multimodal Model Evaluation
## Overview
The MMCBench Dataset is a curated collection of data designed for the comprehensive evaluation of Large Multimodal Models (LMMs) under common corruption scenarios. This dataset supports the MMCBench framework, focusing on cross-moda... | [
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891d2f2cfe5410467ae69344507b5ecc79a77b21 |
Source: https://universe.roboflow.com/david-bxemt/detecciones
Follow the source license
| brainer/detecciones | [
"region:us"
] | 2024-01-22T06:23:19+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "image_id", "dtype": "int64"}, {"name": "objects", "sequence": [{"name": "area", "dtype": "float64"}, {"name": "bbox", "sequence": "float64"}, {"name": "category", "dty... | 2024-01-22T08:07:40+00:00 | [] | [] | TAGS
#region-us
|
Source: URL
Follow the source license
| [] | [
"TAGS\n#region-us \n"
] | [
6
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177841080f84dcf1a5bea97ee36d4abc1f31e2a9 |
Check out the [paper](https://arxiv.org/abs/2401.13311). | ucla-contextual/contextual_all | [
"license:mit",
"arxiv:2401.13311",
"region:us"
] | 2024-01-22T06:53:25+00:00 | {"license": "mit"} | 2024-02-05T06:39:26+00:00 | [
"2401.13311"
] | [] | TAGS
#license-mit #arxiv-2401.13311 #region-us
|
Check out the paper. | [] | [
"TAGS\n#license-mit #arxiv-2401.13311 #region-us \n"
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20
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"passage: TAGS\n#license-mit #arxiv-2401.13311 #region-us \n"
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716afd2ddb2264daa994a8afc54fb5e99f7b3141 | # Dataset Card for "poc_last"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | wisenut-nlp-team/poc_last | [
"region:us"
] | 2024-01-22T07:11:05+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "context", "sequence": "string"}, {"name": "answer", "sequence": "string"}, {"name": "original_answer", "sequence": "string"}, {"name": "similar_contexts", "sequence"... | 2024-01-22T09:04:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "poc_last"
More Information needed | [
"# Dataset Card for \"poc_last\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"poc_last\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"poc_last\"\n\nMore Information needed"
] |
c4ddcf4b2500a2ccde373c0b05665cb69f24cfbc |
Context
Rice genotype and phenotype data.
Twelve agronomic traits and a hundred simulated traits.
May be useful for GWAS (Genome Wide Association Study) models.
The column name IDs in the trait file map to the following traits.
CUDI_REPRO -> Culm diameter
CULT_REPRO -> Culm length
CUNO_REPRO -> Culm number
GRLT -> Gr... | Solshine/Rice_Genotype_and_Phenotype_Data | [
"license:cc-by-sa-4.0",
"region:us"
] | 2024-01-22T07:16:21+00:00 | {"license": "cc-by-sa-4.0"} | 2024-01-22T07:25:32+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
Context
Rice genotype and phenotype data.
Twelve agronomic traits and a hundred simulated traits.
May be useful for GWAS (Genome Wide Association Study) models.
The column name IDs in the trait file map to the following traits.
CUDI_REPRO -> Culm diameter
CULT_REPRO -> Culm length
CUNO_REPRO -> Culm number
GRLT -> Gr... | [] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] |
e93227baec94ab4116a90d432978ee7696d50239 |
Context:
This data originally came from the College of Agriculture and Forestry
Originally posted to Kaggle by AGRICULTURAL INNOVATIONS with the following description
"Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present to you a datase... | Solshine/CollegeOfAgricultureAndForestry_Agricultural_Crop_Dataset | [
"license:cc",
"region:us"
] | 2024-01-22T07:28:34+00:00 | {"license": "cc"} | 2024-01-23T04:42:21+00:00 | [] | [] | TAGS
#license-cc #region-us
|
Context:
This data originally came from the College of Agriculture and Forestry
Originally posted to Kaggle by AGRICULTURAL INNOVATIONS with the following description
"Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present to you a datase... | [] | [
"TAGS\n#license-cc #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-cc #region-us \n"
] |
7d3443b863cd2758398e44025368027d030fb65d |
# Dataset Card for Evaluation run of FelixChao/Sirius-10B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [FelixChao/Sirius-10B](https://huggingface.co/FelixChao/Sirius-10B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_FelixChao__Sirius-10B | [
"region:us"
] | 2024-01-22T07:28:44+00:00 | {"pretty_name": "Evaluation run of FelixChao/Sirius-10B", "dataset_summary": "Dataset automatically created during the evaluation run of model [FelixChao/Sirius-10B](https://huggingface.co/FelixChao/Sirius-10B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2024-01-22T07:29:05+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of FelixChao/Sirius-10B
Dataset automatically created during the evaluation run of model FelixChao/Sirius-10B 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 FelixChao/Sirius-10B\n\n\n\nDataset automatically created during the evaluation run of model FelixChao/Sirius-10B 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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37608025af45057383b4dc6eef06c3a43799150a |
# Dataset Card for Evaluation run of Eurdem/Voltran-1.0-MoE-2x7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Eurdem/Voltran-1.0-MoE-2x7B](https://huggingface.co/Eurdem/Voltran-1.0-MoE-2x7B) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_Eurdem__Voltran-1.0-MoE-2x7B | [
"region:us"
] | 2024-01-22T07:52:07+00:00 | {"pretty_name": "Evaluation run of Eurdem/Voltran-1.0-MoE-2x7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Eurdem/Voltran-1.0-MoE-2x7B](https://huggingface.co/Eurdem/Voltran-1.0-MoE-2x7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-22T07:52:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Eurdem/Voltran-1.0-MoE-2x7B
Dataset automatically created during the evaluation run of model Eurdem/Voltran-1.0-MoE-2x7B 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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"TAGS\n#region-us \n",
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3c2c9fe9e5785e6d81f5510bf4639e7e5c9d2cb0 | # Dataset Card for "one-summary-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mtc/one-summary-test | [
"region:us"
] | 2024-01-22T08:01:11+00:00 | {"dataset_info": {"features": [{"name": "document", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5018, "num_examples": 4}], "download_size": 0, "dataset_size": 5018}} | 2024-01-24T12:10:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "one-summary-test"
More Information needed | [
"# Dataset Card for \"one-summary-test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"one-summary-test\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"one-summary-test\"\n\nMore Information needed"
] |
4c46ec3a9ce0d63521f23304653d6572b9d4e681 |
About Dataset
Context
The National Park Service publishes a database of animal and plant species identified in individual national parks and verified by evidence — observations, vouchers, or reports that document the presence of a species in a park. All park species records are available to the public on the National ... | Solshine/Biodiversity_In_National_Parks | [
"license:cc",
"region:us"
] | 2024-01-22T08:08:19+00:00 | {"license": "cc"} | 2024-01-22T08:11:25+00:00 | [] | [] | TAGS
#license-cc #region-us
|
About Dataset
Context
The National Park Service publishes a database of animal and plant species identified in individual national parks and verified by evidence — observations, vouchers, or reports that document the presence of a species in a park. All park species records are available to the public on the National ... | [] | [
"TAGS\n#license-cc #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-cc #region-us \n"
] |
efa78cc2f74bbcd21eff2261f9e13aebe40b814e | Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
https://github.com/amazon-science/mintaka
We only took entity-type answers and avoided answers that were only numbers or booleans
```
@inproceedings{sen-etal-2022-mintaka,
title = "Mintaka: A Complex, Natural, and Multilingua... | jinaai/mintakaqa | [
"region:eu"
] | 2024-01-22T08:21:58+00:00 | {} | 2024-01-22T13:03:06+00:00 | [] | [] | TAGS
#region-eu
| Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
URL
We only took entity-type answers and avoided answers that were only numbers or booleans
| [] | [
"TAGS\n#region-eu \n"
] | [
6
] | [
"passage: TAGS\n#region-eu \n"
] |
0afdbedeefdfb34e328fea3c0ed68c7bdecf13a1 | # Dataset Card for "one-document-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mtc/one-document-test | [
"region:us"
] | 2024-01-22T08:26:02+00:00 | {"dataset_info": {"features": [{"name": "document", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18457, "num_examples": 4}], "download_size": 19435, "dataset_size": 18457}} | 2024-01-22T14:31:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "one-document-test"
More Information needed | [
"# Dataset Card for \"one-document-test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"one-document-test\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"one-document-test\"\n\nMore Information needed"
] |
b00204c55460c28b25eac841a3de8d0b01a488a7 |
This is a dataset created using [vector-io](https://github.com/ai-northstar-tech/vector-io)
| dhruv-anand-aintech/vdf_20240122_140004_c932b | [
"vdf",
"vector-io",
"vector-dataset",
"vector-embeddings",
"region:us"
] | 2024-01-22T08:30:23+00:00 | {"tags": ["vdf", "vector-io", "vector-dataset", "vector-embeddings"]} | 2024-01-22T08:30:31+00:00 | [] | [] | TAGS
#vdf #vector-io #vector-dataset #vector-embeddings #region-us
|
This is a dataset created using vector-io
| [] | [
"TAGS\n#vdf #vector-io #vector-dataset #vector-embeddings #region-us \n"
] | [
27
] | [
"passage: TAGS\n#vdf #vector-io #vector-dataset #vector-embeddings #region-us \n"
] |
161fd3ce40f6fad4c57ecee9c51d72d8fc4a3434 | This dataset is for VinT_Bench: Benchmarking the Object-in-hand Pose from Vision, Touch, and Proproception.
Senlin update the vint-sim, Zhaoliang update the vint-real | Jeffreyzhaoliang/vint-bench | [
"license:mit",
"region:us"
] | 2024-01-22T08:31:47+00:00 | {"license": "mit"} | 2024-02-06T05:59:30+00:00 | [] | [] | TAGS
#license-mit #region-us
| This dataset is for VinT_Bench: Benchmarking the Object-in-hand Pose from Vision, Touch, and Proproception.
Senlin update the vint-sim, Zhaoliang update the vint-real | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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680bd6217a6a1eb9f7b20418fe58506a3afe61d3 | # Animagine XL 3.0 Character
[EasySdxlWebUi](https://github.com/Zuntan03/EasySdxlWebUi) による [Animagine XL 3.0](https://huggingface.co/cagliostrolab/animagine-xl-3.0) の [公式 Character ワイルドカード](https://huggingface.co/spaces/Linaqruf/animagine-xl/resolve/main/wildcard/character.txt) の立ち絵データセットです。
データセットのダウンロードは [こちら（2880... | Zuntan/Animagine_XL_3.0-Character | [
"license:unknown",
"region:us"
] | 2024-01-22T08:43:04+00:00 | {"license": "unknown"} | 2024-01-26T09:19:08+00:00 | [] | [] | TAGS
#license-unknown #region-us
| # Animagine XL 3.0 Character
EasySdxlWebUi による Animagine XL 3.0 の 公式 Character ワイルドカード の立ち絵データセットです。
データセットのダウンロードは こちら（2880枚、497MB）。
表情(278MB) と 画風(115MB) も用意しました。
!face
画像の類似度や Tagger の結果比較で正常動作するワイルドカードリストを用意できないかな？と思って始めてみました。
が、衣装違いなどの不正解画像でも作品名やキャラ名の影響を大きく受けるため、他のソースなしの正否分類は難しそうです。
- 各 webp 画像を Stable Di... | [
"# Animagine XL 3.0 Character\n\nEasySdxlWebUi による Animagine XL 3.0 の 公式 Character ワイルドカード の立ち絵データセットです。\n\nデータセットのダウンロードは こちら（2880枚、497MB）。 \n表情(278MB) と 画風(115MB) も用意しました。\n\n!face\n\n画像の類似度や Tagger の結果比較で正常動作するワイルドカードリストを用意できないかな？と思って始めてみました。 \nが、衣装違いなどの不正解画像でも作品名やキャラ名の影響を大きく受けるため、他のソースなしの正否分類は難しそうです。\n\n- 各 w... | [
"TAGS\n#license-unknown #region-us \n",
"# Animagine XL 3.0 Character\n\nEasySdxlWebUi による Animagine XL 3.0 の 公式 Character ワイルドカード の立ち絵データセットです。\n\nデータセットのダウンロードは こちら（2880枚、497MB）。 \n表情(278MB) と 画風(115MB) も用意しました。\n\n!face\n\n画像の類似度や Tagger の結果比較で正常動作するワイルドカードリストを用意できないかな？と思って始めてみました。 \nが、衣装違いなどの不正解画像でも作品名やキャラ名... | [
13,
418
] | [
"passage: TAGS\n#license-unknown #region-us \n# Animagine XL 3.0 Character\n\nEasySdxlWebUi による Animagine XL 3.0 の 公式 Character ワイルドカード の立ち絵データセットです。\n\nデータセットのダウンロードは こちら（2880枚、497MB）。 \n表情(278MB) と 画風(115MB) も用意しました。\n\n!face\n\n画像の類似度や Tagger の結果比較で正常動作するワイルドカードリストを用意できないかな？と思って始めてみました。 \nが、衣装違いなどの不正解画像でも作品名やキ... |
c99d599f0a6ab9b85b065da6f9d94f9cf731679f |
xPQA is a large-scale annotated cross-lingual Product QA dataset
https://arxiv.org/abs/2305.09249
https://github.com/amazon-science/contextual-product-qa?tab=readme-ov-file#xpqa
```
@article{shen2023xpqa,
title={xPQA: Cross-Lingual Product Question Answering across 12 Languages},
author={Shen, Xiaoyu and Asai, ... | jinaai/xpqa | [
"arxiv:2305.09249",
"region:eu"
] | 2024-01-22T08:51:01+00:00 | {} | 2024-01-22T13:04:24+00:00 | [
"2305.09249"
] | [] | TAGS
#arxiv-2305.09249 #region-eu
|
xPQA is a large-scale annotated cross-lingual Product QA dataset
URL
URL
| [] | [
"TAGS\n#arxiv-2305.09249 #region-eu \n"
] | [
15
] | [
"passage: TAGS\n#arxiv-2305.09249 #region-eu \n"
] |
81120515b20c8b0246c6e7b517a540d96a22a871 |
- max count_word cluster_1: 1722
- min count_word cluster_1: 11
- max count_word cluster_2: 2624
- min count_word cluster_2: 21
- max count_word cluster_3: 2370
- min count_word cluster_3: 31
```Python
DatasetDict({
Cluster_1: Dataset({
features: ['Text', 'Cluster', 'Polarity', 'count_word'],
num... | NickyNicky/oasst2_clusters | [
"language:en",
"language:es",
"language:ru",
"language:zh",
"language:de",
"language:fr",
"language:th",
"language:ca",
"language:it",
"language:ja",
"language:pl",
"language:eo",
"language:eu",
"language:vi",
"language:fi",
"language:hu",
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"language:... | 2024-01-22T08:52:53+00:00 | {"language": ["en", "es", "ru", "zh", "de", "fr", "th", "ca", "it", "ja", "pl", "eo", "eu", "vi", "fi", "hu", "ar", "nl", "da", "tr", "ko", "he", "id", "cs", "bn", "sv"], "dataset_info": {"features": [{"name": "Text", "dtype": "string"}, {"name": "Cluster", "dtype": "int32"}, {"name": "Polarity", "dtype": "float64"}, {... | 2024-01-26T13:16:49+00:00 | [] | [
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!image/png
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# Dataset Card for Evaluation run of senseable/WestLake-7B-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggi... | open-llm-leaderboard/details_senseable__WestLake-7B-v2 | [
"region:us"
] | 2024-01-22T09:54:32+00:00 | {"pretty_name": "Evaluation run of senseable/WestLake-7B-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2024-01-22T09:54:58+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of senseable/WestLake-7B-v2
Dataset automatically created during the evaluation run of model senseable/WestLake-7B-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 ... | [
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# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1](https://huggingface.co/silvercoder45/Mistral-7b-instru... | open-llm-leaderboard/details_silvercoder45__Mistral-7b-instruct-v0.2-summ-sft-dpo-e1 | [
"region:us"
] | 2024-01-22T09:54:48+00:00 | {"pretty_name": "Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1", "dataset_summary": "Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1](https://huggingface.co/silvercoder45/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1) on the ... | 2024-01-22T09:55:16+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
Dataset automatically created during the evaluation run of model silvercoder45/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one ... | [
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# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e1](https://huggingface.co/silvercoder45/Mistral-7b-instruct-v0.2-... | open-llm-leaderboard/details_silvercoder45__Mistral-7b-instruct-v0.2-summ-dpo-e1 | [
"region:us"
] | 2024-01-22T09:55:14+00:00 | {"pretty_name": "Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e1", "dataset_summary": "Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e1](https://huggingface.co/silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e1) on the [Open LLM Le... | 2024-01-22T09:55:36+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e1
Dataset automatically created during the evaluation run of model silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the e... | [
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# Dataset Card for Evaluation run of moreh/MoMo-72B-lora-1.8.7-DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [moreh/MoMo-72B-lora-1.8.7-DPO](https://huggingface.co/moreh/MoMo-72B-lora-1.8.7-DPO) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_moreh__MoMo-72B-lora-1.8.7-DPO | [
"region:us"
] | 2024-01-22T10:36:02+00:00 | {"pretty_name": "Evaluation run of moreh/MoMo-72B-lora-1.8.7-DPO", "dataset_summary": "Dataset automatically created during the evaluation run of model [moreh/MoMo-72B-lora-1.8.7-DPO](https://huggingface.co/moreh/MoMo-72B-lora-1.8.7-DPO) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-01-22T10:36:23+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of moreh/MoMo-72B-lora-1.8.7-DPO
Dataset automatically created during the evaluation run of model moreh/MoMo-72B-lora-1.8.7-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 creat... | [
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This dataset contains the Czech subset of the [`wikimedia/wikipedia`](https://huggingface.co/datasets/wikimedia/wikipedia) dataset. Each page is divided into paragraphs, stored as a list in the `chunks` column. For every paragraph, embeddings are created using the [`sentence-transformers/paraphrase-multilingual-MiniLM... | karmiq/wikipedia-embeddings-cs-minilm | [
"task_categories:text-generation",
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"language:cs",
"license:cc-by-sa-3.0",
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"region:us"
] | 2024-01-22T10:40:19+00:00 | {"language": ["cs"], "license": ["cc-by-sa-3.0", "gfdl"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "fill-mask"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "chunks", "sequence": "stri... | 2024-01-22T10:46:46+00:00 | [] | [
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#task_categories-text-generation #task_categories-fill-mask #size_categories-100K<n<1M #language-Czech #license-cc-by-sa-3.0 #license-gfdl #region-us
|
This dataset contains the Czech subset of the 'wikimedia/wikipedia' dataset. Each page is divided into paragraphs, stored as a list in the 'chunks' column. For every paragraph, embeddings are created using the 'sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2' model.
## Usage
Load the dataset:
The st... | [
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# CroissantChat SFT data
```
@misc{faysse2024croissantllm,
title={CroissantLLM: A Truly Bilingual French-English Language Model},
author={Manuel Faysse and Patrick Fernandes and Nuno M. Guerreiro and António Loison and Duarte M. Alves and Caio Corro and Nicolas Boizard and João Alves and Ricardo Rei and... | croissantllm/CroissantLLM-2201-sft | [
"arxiv:2402.00786",
"region:us"
] | 2024-01-22T10:55:28+00:00 | {"dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "markdown", "struct": [{"name": "answer", "dtype": "string"}, {"name": "index", "dtype": "int64"}, {"name": "type", "dtype": "string"}]}, {"name": "text", "dtype": "string"}, {"name": "value", "dtype": "strin... | 2024-02-15T08:46:36+00:00 | [
"2402.00786"
] | [] | TAGS
#arxiv-2402.00786 #region-us
|
# CroissantChat SFT data
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6cd180167f0a6d0ef194d2990c12f1eb7c643ef6 | #This dataset is collected from ImageReward for the fake class and COCO for the real class | HDanh/RealFakeDB_small | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | 2024-01-22T11:02:24+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "fake", "1": "real"}}}}], "splits": [{"name": "train", "num_bytes": 1088187... | 2024-01-23T03:19:40+00:00 | [] | [
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#task_categories-image-classification #size_categories-10K<n<100K #language-English #license-mit #region-us
| #This dataset is collected from ImageReward for the fake class and COCO for the real class | [] | [
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93ee02366b239d5e24643411bc6f502a7d39ffeb | # Dataset Card for "testpapercomments-ds"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/testpapercomments-ds | [
"region:us"
] | 2024-01-22T11:07:57+00:00 | {"dataset_info": {"features": [{"name": "paper_url", "dtype": "string"}, {"name": "comment", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 502672, "num_examples": 456}], "download_size": 0, "dataset_size": 502672}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/t... | 2024-01-22T11:22:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "testpapercomments-ds"
More Information needed | [
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# Dataset Card for Evaluation run of TomGrc/FusionNet_34Bx2_MoE
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [TomGrc/FusionNet_34Bx2_MoE](https://huggingface.co/TomGrc/FusionNet_34Bx2_MoE) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_TomGrc__FusionNet_34Bx2_MoE | [
"region:us"
] | 2024-01-22T11:32:06+00:00 | {"pretty_name": "Evaluation run of TomGrc/FusionNet_34Bx2_MoE", "dataset_summary": "Dataset automatically created during the evaluation run of model [TomGrc/FusionNet_34Bx2_MoE](https://huggingface.co/TomGrc/FusionNet_34Bx2_MoE) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2024-01-22T11:32:28+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of TomGrc/FusionNet_34Bx2_MoE
Dataset automatically created during the evaluation run of model TomGrc/FusionNet_34Bx2_MoE 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... | [
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# CMMMU
[**🌐 Homepage**](https://cmmmu-benchmark.github.io/) | [**🤗 Paper**](https://huggingface.co/papers/2401.11944) | [**📖 arXiv**](https://arxiv.org/pdf/2401.11944.pdf) | [**🤗 Dataset**](https://huggingface.co/datasets/m-a-p/CMMMU) | [**GitHub**](https://github.com/CMMMU-Benchmark/CMMMU)
## Introduction
CMM... | m-a-p/CMMMU | [
"arxiv:2401.11944",
"region:us"
] | 2024-01-22T11:37:59+00:00 | {"dataset_info": [{"config_name": "art_and_design", "features": [{"name": "id", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "source_type", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "option1", "dtype": "string"}, {"name": "option2",... | 2024-01-29T14:08:55+00:00 | [
"2401.11944"
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#arxiv-2401.11944 #region-us
| CMMMU
=====
Homepage | Paper | arXiv | Dataset | GitHub
Introduction
------------
CMMMU includes 12k manually collected multimodal questions from college exams, quizzes, and textbooks, covering six core disciplines: Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engine... | [] | [
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# Dataset Card for Evaluation run of zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0](https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_zhengr__MixTAO-7Bx2-MoE-Instruct-v4.0 | [
"region:us"
] | 2024-01-22T11:44:28+00:00 | {"pretty_name": "Evaluation run of zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0", "dataset_summary": "Dataset automatically created during the evaluation run of model [zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0](https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-22T11:44:54+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0
Dataset automatically created during the evaluation run of model zhengr/MixTAO-7Bx2-MoE-Instruct-v4.0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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87bae63b1be7e11d60e6c892fe69b64b79380808 |
# ViP-LLaVA Instruct Dataset Card
## Dataset details
**Dataset type:**
ViP-LLaVA Instruct is composed of a mixture of LLaVA-1.5 instruction data and the region-level visual prompting data.
It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 level regional understanding ... | mucai/ViP-LLaVA-Instruct | [
"task_categories:visual-question-answering",
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"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-22T11:51:53+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M", "10K<n<100K"], "task_categories": ["visual-question-answering", "question-answering"], "pretty_name": "ViP-LLaVA Visual Instruct"} | 2024-01-23T10:00:31+00:00 | [] | [
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|
# ViP-LLaVA Instruct Dataset Card
## Dataset details
Dataset type:
ViP-LLaVA Instruct is composed of a mixture of LLaVA-1.5 instruction data and the region-level visual prompting data.
It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 level regional understanding capa... | [
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159610c7d3a07ec7dffafe54f4faa52e8ab89367 |
This dataset contains the Czech subset of the [`wikimedia/wikipedia`](https://huggingface.co/datasets/wikimedia/wikipedia) dataset. Each page is divided into paragraphs, stored as a list in the `chunks` column. For every paragraph, embeddings are created using the [`intfloat/multilingual-e5-base`](https://huggingface.... | karmiq/wikipedia-embeddings-cs-e5-base | [
"task_categories:text-generation",
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"license:cc-by-sa-3.0",
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"region:us"
] | 2024-01-22T11:57:02+00:00 | {"language": ["cs"], "license": ["cc-by-sa-3.0", "gfdl"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "fill-mask"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "chunks", "sequence": "stri... | 2024-01-22T12:07:52+00:00 | [] | [
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#task_categories-text-generation #task_categories-fill-mask #size_categories-100K<n<1M #language-Czech #license-cc-by-sa-3.0 #license-gfdl #region-us
|
This dataset contains the Czech subset of the 'wikimedia/wikipedia' dataset. Each page is divided into paragraphs, stored as a list in the 'chunks' column. For every paragraph, embeddings are created using the 'intfloat/multilingual-e5-base' model.
## Usage
Load the dataset:
The structure makes it easy to use t... | [
"## Usage\n\nLoad the dataset:\n\n\n\n\n\nThe structure makes it easy to use the dataset for implementing semantic search.\n\n<details>\n<summary>Load the data in Elasticsearch</summary>\n\n\n</details>\n\n<details>\n<summary>Use <code>sentence_transformers.util.semantic_search</code></summary>\n\n\n</details>\n\nT... | [
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d6413ca115423ff04ea671fcd7bcaff2f219919a |
This dataset is used on the paper ["Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia"](https://arxiv.org/abs/2311.00998).
This repository contains two types of data:
1. Monolingual (*.txt)
2. Bilingual (*.tsv)
If used, please cite
```
@misc{susanto2023replicable... | Exqrch/IndonesianNMT | [
"task_categories:translation",
"language:id",
"language:jv",
"language:su",
"language:ban",
"language:min",
"arxiv:2311.00998",
"region:us"
] | 2024-01-22T13:35:57+00:00 | {"language": ["id", "jv", "su", "ban", "min"], "task_categories": ["translation"]} | 2024-01-22T14:05:37+00:00 | [
"2311.00998"
] | [
"id",
"jv",
"su",
"ban",
"min"
] | TAGS
#task_categories-translation #language-Indonesian #language-Javanese #language-Sundanese #language-Balinese #language-Minangkabau #arxiv-2311.00998 #region-us
|
This dataset is used on the paper "Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia".
This repository contains two types of data:
1. Monolingual (*.txt)
2. Bilingual (*.tsv)
If used, please cite
## License
This dataset is licensed under the Creative Commons A... | [
"## License\n\nThis dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).\n\nYou are free to:\n- Share: Copy and redistribute the material in any medium or format.\n- Adapt: Remix, transform, and build upon the material for any purpose, even commercially.\n\nUnder the fol... | [
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0b83e62eab384c21e241c0953a70d0193c23cc88 |
# Dataset Card for Evaluation run of LordNoah/Alpaca_spin_tuned_gpt2_large
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_spin_tuned_gpt2_large](https://huggingface.co/LordNoah/Alpaca_spin_tuned_gpt2_large) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_LordNoah__Alpaca_spin_tuned_gpt2_large | [
"region:us"
] | 2024-01-22T13:43:30+00:00 | {"pretty_name": "Evaluation run of LordNoah/Alpaca_spin_tuned_gpt2_large", "dataset_summary": "Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_spin_tuned_gpt2_large](https://huggingface.co/LordNoah/Alpaca_spin_tuned_gpt2_large) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2024-01-22T13:43:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of LordNoah/Alpaca_spin_tuned_gpt2_large
Dataset automatically created during the evaluation run of model LordNoah/Alpaca_spin_tuned_gpt2_large 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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# Dataset Card for Evaluation run of LordNoah/Alpaca_refine_tuned_gpt2_large
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_refine_tuned_gpt2_large](https://huggingface.co/LordNoah/Alpaca_refine_tuned_gpt2_large) on the [Open LLM Lea... | open-llm-leaderboard/details_LordNoah__Alpaca_refine_tuned_gpt2_large | [
"region:us"
] | 2024-01-22T13:50:02+00:00 | {"pretty_name": "Evaluation run of LordNoah/Alpaca_refine_tuned_gpt2_large", "dataset_summary": "Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_refine_tuned_gpt2_large](https://huggingface.co/LordNoah/Alpaca_refine_tuned_gpt2_large) on the [Open LLM Leaderboard](https://huggingface.co... | 2024-01-22T13:50:26+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of LordNoah/Alpaca_refine_tuned_gpt2_large
Dataset automatically created during the evaluation run of model LordNoah/Alpaca_refine_tuned_gpt2_large on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The da... | [
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# Dataset Card for Evaluation run of Kquant03/Buttercup-4x7B-bf16
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Kquant03/Buttercup-4x7B-bf16](https://huggingface.co/Kquant03/Buttercup-4x7B-bf16) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_Kquant03__Buttercup-4x7B-bf16 | [
"region:us"
] | 2024-01-22T13:52:02+00:00 | {"pretty_name": "Evaluation run of Kquant03/Buttercup-4x7B-bf16", "dataset_summary": "Dataset automatically created during the evaluation run of model [Kquant03/Buttercup-4x7B-bf16](https://huggingface.co/Kquant03/Buttercup-4x7B-bf16) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2024-01-22T13:52:24+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Kquant03/Buttercup-4x7B-bf16
Dataset automatically created during the evaluation run of model Kquant03/Buttercup-4x7B-bf16 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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- **Curated by:** [Heigke](https://github.com/Heigke)
- **Funded by:** [r3tex](https://github.com/r3tex)
- **Shared by:** [Project Nephilim](https://github.com/r3tex/nephilim)
- **Language(s) (NLP):** English
- **License:** CC
# Dataset Card for stanford-enigma-philosophy-chat dataset
Roughly 27k questions and answe... | Heigke/stanford-enigma-philosophy-chat | [
"license:cc",
"region:us"
] | 2024-01-22T13:57:41+00:00 | {"license": "cc"} | 2024-01-22T16:00:07+00:00 | [] | [] | TAGS
#license-cc #region-us
|
- Curated by: Heigke
- Funded by: r3tex
- Shared by: Project Nephilim
- Language(s) (NLP): English
- License: CC
# Dataset Card for stanford-enigma-philosophy-chat dataset
Roughly 27k questions and answers inspired by articles from Stanford Encyclopedia of Philosophy.
The questions range all the way from Zombies to ... | [
"# Dataset Card for stanford-enigma-philosophy-chat dataset\n\nRoughly 27k questions and answers inspired by articles from Stanford Encyclopedia of Philosophy.\nThe questions range all the way from Zombies to the concept of Abduction, from Metaphysics to Neuroethics and thus cover some of the essence of mathematics... | [
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# Dataset Card for Evaluation run of Eurdem/megatron_1.1_MoE_2x7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Eurdem/megatron_1.1_MoE_2x7B](https://huggingface.co/Eurdem/megatron_1.1_MoE_2x7B) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_Eurdem__megatron_1.1_MoE_2x7B | [
"region:us"
] | 2024-01-22T14:02:42+00:00 | {"pretty_name": "Evaluation run of Eurdem/megatron_1.1_MoE_2x7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Eurdem/megatron_1.1_MoE_2x7B](https://huggingface.co/Eurdem/megatron_1.1_MoE_2x7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | 2024-01-22T14:03:06+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Eurdem/megatron_1.1_MoE_2x7B
Dataset automatically created during the evaluation run of model Eurdem/megatron_1.1_MoE_2x7B 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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## Python Copilot Audio Training using Global Functions with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the [Multimodal Python Copilot Training Overview](https://huggingface.co/datasets/matlok/multimodal-python-copilot-training-overview) for more details on how to... | matlok/python-audio-copilot-training-using-function-knowledge-graphs | [
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"python-copilot",
"python-coding",
"python-architecture",
"knowledge-graphs",
"multimodal",
"text-image-audio",
"fine-tu... | 2024-01-22T14:23:44+00:00 | {"license": ["other"], "size_categories": ["10K<n<100K"], "task_categories": ["text-to-audio", "audio-to-audio", "question-answering"], "task_ids": ["parsing"], "pretty_name": "python copilot audio training using global functions with knowledge graphs", "dataset_info": [{"config_name": "view_schema", "splits": [{"name"... | 2024-01-25T18:53:06+00:00 | [] | [] | TAGS
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## Python Copilot Audio Training using Global Functions with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
### Details
Each global function has a question and answer mp3 wh... | [
"## Python Copilot Audio Training using Global Functions with Knowledge Graphs\n\nThis dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.",
"### Details\n\nEach global function has a question and a... | [
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2a276deda9adaefeddea7752ce7a5e6fe0034382 |
## Python Copilot Audio Training using Inheritance and Polymorphism Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the [Multimodal Python Copilot Training Overview](https://huggingface.co/datasets/matlok/multimodal-python-copilot-training-overview) for more details on... | matlok/python-audio-copilot-training-using-inheritance-knowledge-graphs | [
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"fine-tu... | 2024-01-22T14:24:06+00:00 | {"license": ["other"], "size_categories": ["10K<n<100K"], "task_categories": ["text-to-audio", "audio-to-audio", "question-answering"], "task_ids": ["parsing"], "pretty_name": "python copilot audio training using inheritance and polymorphism knowledge graphs", "dataset_info": [{"config_name": "view_schema", "splits": [... | 2024-01-25T18:53:35+00:00 | [] | [] | TAGS
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## Python Copilot Audio Training using Inheritance and Polymorphism Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
### Details
Each base class for each unique class in each ... | [
"## Python Copilot Audio Training using Inheritance and Polymorphism Knowledge Graphs\n\nThis dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.",
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a4bfdb7dca02c9d96ea1c381e58559d565efe1fb |
## Python Copilot Audio Training using Imports with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the [Multimodal Python Copilot Training Overview](https://huggingface.co/datasets/matlok/multimodal-python-copilot-training-overview) for more details on how to use this... | matlok/python-audio-copilot-training-using-import-knowledge-graphs | [
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"fine-tu... | 2024-01-22T14:24:31+00:00 | {"license": ["other"], "size_categories": ["10K<n<100K"], "task_categories": ["text-to-audio", "audio-to-audio", "question-answering"], "task_ids": ["parsing"], "pretty_name": "python copilot audio training using imports with knowledge graphs", "dataset_info": [{"config_name": "view_schema", "splits": [{"name": "view_s... | 2024-01-25T18:53:20+00:00 | [] | [] | TAGS
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## Python Copilot Audio Training using Imports with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
### Details
Each imported module for each unique class in each module file... | [
"## Python Copilot Audio Training using Imports with Knowledge Graphs\n\nThis dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.",
"### Details\n\nEach imported module for each unique class in each... | [
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3356d1e4157acd011c6b28489b46b1acf43597e0 | <h1 align="center"> DATASET-NAME: Code Reasoning, Understanding, and Execution Evaluation </h1>
<p align="center">
<a href="https://crux-eval.github.io/">🏠 Home Page</a> •
<a href="https://github.com/facebookresearch/cruxeval">💻 GitHub Repository </a> •
<a href="https://crux-eval.github.io/leaderboard.ht... | albertvillanova/test-dataset-card | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"region:us"
] | 2024-01-22T15:05:43+00:00 | {"task_categories": ["text-classification"], "task_ids": ["multi-label-classification", "toxic-comment-classification"]} | 2024-01-25T08:15:40+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_ids-multi-label-classification #region-us
| <h1 align="center"> DATASET-NAME: Code Reasoning, Understanding, and Execution Evaluation </h1>
<p align="center">
<a href="URL Home Page</a> •
<a href="URL GitHub Repository </a> •
<a href="URL Leaderboard</a> •
<a href="URL Sample Explorer</a>
</p>
!image
DATASET-NAME (Code Reasoning, Understanding... | [
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] |
1af2f0ef96f32ba5ff8d9b82b8cb5fc4810430bd | # The Security Attack Pattern (TTP) Recognition or Mapping Task
[](https://creativecommons.org/licenses/by/4.0/)
[](https://arxiv.org/abs/2401.10337)
We share in this repo the... | tumeteor/MITRE-TTP-Mapping | [
"task_categories:text-classification",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
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"mitre att&ck",
"extreme multilabel ",
"multilabel... | 2024-01-22T15:16:40+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification", "question-answering", "zero-shot-classification", "sentence-similarity"], "pretty_name": "Security Attack Pattern Recognition Datasets", "tags": ["security", "ttp mapping", "mitre att&ck", "extreme multilab... | 2024-01-23T09:52:13+00:00 | [
"2401.10337"
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] | TAGS
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![License](URL
![arXiv](URL
We share in this repo the MITRE ATT&CK mapping datasets, with 'training', 'validation' and 'test' splits.
The datasets can be considered as an emerging and challenging 'multilabel classification' NLP task, with over 600 hi... | [
"# The Security Attack Pattern (TTP) Recognition or Mapping Task\n![License](URL\n![arXiv](URL\n\nWe share in this repo the MITRE ATT&CK mapping datasets, with 'training', 'validation' and 'test' splits. \nThe datasets can be considered as an emerging and challenging 'multilabel classification' NLP task, with o... | [
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# Dataset Card for Evaluation run of OpenBuddy/openbuddy-deepseek-10b-v17.1-4k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-deepseek-10b-v17.1-4k](https://huggingface.co/OpenBuddy/openbuddy-deepseek-10b-v17.1-4k) on the [Open L... | open-llm-leaderboard/details_OpenBuddy__openbuddy-deepseek-10b-v17.1-4k | [
"region:us"
] | 2024-01-22T15:23:11+00:00 | {"pretty_name": "Evaluation run of OpenBuddy/openbuddy-deepseek-10b-v17.1-4k", "dataset_summary": "Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-deepseek-10b-v17.1-4k](https://huggingface.co/OpenBuddy/openbuddy-deepseek-10b-v17.1-4k) on the [Open LLM Leaderboard](https://huggingf... | 2024-01-22T15:23:36+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-deepseek-10b-v17.1-4k
Dataset automatically created during the evaluation run of model OpenBuddy/openbuddy-deepseek-10b-v17.1-4k 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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# Dataset Card for Evaluation run of LordNoah/Alpaca_spin_gpt2_e0_se1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_spin_gpt2_e0_se1](https://huggingface.co/LordNoah/Alpaca_spin_gpt2_e0_se1) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_LordNoah__Alpaca_spin_gpt2_e0_se1 | [
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] | 2024-01-22T15:40:41+00:00 | {"pretty_name": "Evaluation run of LordNoah/Alpaca_spin_gpt2_e0_se1", "dataset_summary": "Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_spin_gpt2_e0_se1](https://huggingface.co/LordNoah/Alpaca_spin_gpt2_e0_se1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2024-01-22T15:41:03+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of LordNoah/Alpaca_spin_gpt2_e0_se1
Dataset automatically created during the evaluation run of model LordNoah/Alpaca_spin_gpt2_e0_se1 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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db134dbc02461edb6139b1b4f94b07991d1f141b | Dataset created from the 20k_random_data.txt file linked by [kalomaze](https://github.com/kalomaze) here: [https://github.com/ggerganov/llama.cpp/discussions/5006](https://github.com/ggerganov/llama.cpp/discussions/5006#discussioncomment-8163190) | llmixer/20k_random_data | [
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"random",
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a7d0cda6e629f7cc258da6e805271e577903c75d |
# Dataset Card for Evaluation run of abdulrahman-nuzha/finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abdulrahman-nuzha/finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0](https://huggingface.co/abdulrahman-nuz... | open-llm-leaderboard/details_abdulrahman-nuzha__finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0 | [
"region:us"
] | 2024-01-22T15:56:13+00:00 | {"pretty_name": "Evaluation run of abdulrahman-nuzha/finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0", "dataset_summary": "Dataset automatically created during the evaluation run of model [abdulrahman-nuzha/finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0](https://huggingface.co/abdulrahman-nuzha/finetuned-Mistral-7B-Instruct... | 2024-01-22T15:56:38+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of abdulrahman-nuzha/finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0
Dataset automatically created during the evaluation run of model abdulrahman-nuzha/finetuned-Mistral-7B-Instruct-v0.2-5000-v2.0 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one core... | [
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# Dataset Card for Evaluation run of LordNoah/Alpaca_refine_gpt2_e0_se1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_refine_gpt2_e0_se1](https://huggingface.co/LordNoah/Alpaca_refine_gpt2_e0_se1) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_LordNoah__Alpaca_refine_gpt2_e0_se1 | [
"region:us"
] | 2024-01-22T16:14:40+00:00 | {"pretty_name": "Evaluation run of LordNoah/Alpaca_refine_gpt2_e0_se1", "dataset_summary": "Dataset automatically created during the evaluation run of model [LordNoah/Alpaca_refine_gpt2_e0_se1](https://huggingface.co/LordNoah/Alpaca_refine_gpt2_e0_se1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2024-01-22T16:15:05+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of LordNoah/Alpaca_refine_gpt2_e0_se1
Dataset automatically created during the evaluation run of model LordNoah/Alpaca_refine_gpt2_e0_se1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has ... | [
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1fb8cdacb54a8a2393cc3cbf1078b2ec30ddc30c |
#### Dataset:
This is the data used for training [Snorkel model](https://huggingface.co/snorkelai/Snorkel-Mistral-PairRM-DPO)
We use ONLY the prompts from [UltraFeedback](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized); **no external LLM responses used**.
#### Methodology:
1. Generate 5 resp... | snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset | [
"task_categories:text-generation",
"license:apache-2.0",
"region:us"
] | 2024-01-22T16:18:35+00:00 | {"license": "apache-2.0", "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "prompt_id", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name... | 2024-01-23T04:31:44+00:00 | [] | [] | TAGS
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#### Dataset:
This is the data used for training Snorkel model
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"passage: TAGS\n#task_categories-text-generation #license-apache-2.0 #region-us \n#### Dataset:\nThis is the data used for training Snorkel model\n\nWe use ONLY the prompts from UltraFeedback; no external LLM responses used.#### Methodology:\n 1. Generate 5 response variations for each prompt from a subset of 20,0... |
843fc7f9d9471c1989a3f33a409123cf1c668244 | # lilac/OpenOrca
This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
To download the dataset to a local directory:
```bash
lilac download lilacai/lilac-OpenOrca
```
or from python w... | lilacai/lilac-OpenOrca | [
"Lilac",
"region:us"
] | 2024-01-22T16:45:29+00:00 | {"tags": ["Lilac"]} | 2024-01-22T17:02:56+00:00 | [] | [] | TAGS
#Lilac #region-us
| # lilac/OpenOrca
This dataset is a Lilac processed dataset. Original dataset: URL
To download the dataset to a local directory:
or from python with:
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cd186b9c100ca18fbed41bf33e63bdbd6cef37ca | from https://www.ffl.kanagawa-u.ac.jp/old/news/2015/img/news_2015060202_script_sp_dq.pdf | dmntrd/QuijoteDeLaMancha_RafaelGil | [
"region:us"
] | 2024-01-22T16:45:32+00:00 | {"dataset_info": {"features": [{"name": "chat", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 49141.81124497992, "num_examples": 199}, {"name": "test", "num_bytes": 12347.18875502008, "num_examples": 50}], "download_size": 41296, "data... | 2024-01-22T16:49:43+00:00 | [] | [] | TAGS
#region-us
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94942a03d1c6bad1113112499a1080f4dd5d3aec |
# Dataset Card for Evaluation run of BarryFutureman/NeuralTurdusVariant1-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [BarryFutureman/NeuralTurdusVariant1-7B](https://huggingface.co/BarryFutureman/NeuralTurdusVariant1-7B) on the [Open LLM Leader... | open-llm-leaderboard/details_BarryFutureman__NeuralTurdusVariant1-7B | [
"region:us"
] | 2024-01-22T17:06:47+00:00 | {"pretty_name": "Evaluation run of BarryFutureman/NeuralTurdusVariant1-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [BarryFutureman/NeuralTurdusVariant1-7B](https://huggingface.co/BarryFutureman/NeuralTurdusVariant1-7B) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2024-01-22T17:07:10+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of BarryFutureman/NeuralTurdusVariant1-7B
Dataset automatically created during the evaluation run of model BarryFutureman/NeuralTurdusVariant1-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The data... | [
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be8c2f2199a67c37320e3098a4946bddcdd1a276 |
# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e2](https://huggingface.co/silvercoder45/Mistral-7b-instruct-v0.2-... | open-llm-leaderboard/details_silvercoder45__Mistral-7b-instruct-v0.2-summ-dpo-e2 | [
"region:us"
] | 2024-01-22T17:13:26+00:00 | {"pretty_name": "Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e2", "dataset_summary": "Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e2](https://huggingface.co/silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e2) on the [Open LLM Le... | 2024-01-22T17:13:50+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e2
Dataset automatically created during the evaluation run of model silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the e... | [
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1f52286de2227ca734a8d490996fbd114f826032 | # Dataset Card for "Calc-ape210k_selftrain"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MU-NLPC/Calc-ape210k_selftrain | [
"region:us"
] | 2024-01-22T17:14:57+00:00 | {"dataset_info": {"config_name": "0-50k", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_chinese", "dtype": "string"}, {"name": "chain", "dtype": "string"}, {"name": "result", "dtype": "string"}, {"name": "result_float", "dtype": "float64"}, {"name": "equatio... | 2024-01-22T17:15:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Calc-ape210k_selftrain"
More Information needed | [
"# Dataset Card for \"Calc-ape210k_selftrain\"\n\nMore Information needed"
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cbc9513d3ee9dfdba72a1404a9ff283528ad645e |
# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3](https://huggingface.co/silvercoder45/Mistral-7b-instruct-v0.2-... | open-llm-leaderboard/details_silvercoder45__Mistral-7b-instruct-v0.2-summ-dpo-e3 | [
"region:us"
] | 2024-01-22T17:19:36+00:00 | {"pretty_name": "Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3", "dataset_summary": "Dataset automatically created during the evaluation run of model [silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3](https://huggingface.co/silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3) on the [Open LLM Le... | 2024-01-22T17:20:01+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3
Dataset automatically created during the evaluation run of model silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3 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 silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3\n\n\n\nDataset automatically created during the evaluation run of model silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to on... | [
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"# Dataset Card for Evaluation run of silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3\n\n\n\nDataset automatically created during the evaluation run of model silvercoder45/Mistral-7b-instruct-v0.2-summ-dpo-e3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, ea... | [
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