sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
51e177a30298a01c8911d09345659b2a12ecd34b |
It is what it says on the tin, 2k websites that don't run javascript (aka: probably really old, and simple!). Filtering needs to be done to take out the defunct sites and error messages. I don't expect this is a hard task. | crumb/js-free-sites | [
"region:us"
] | 2023-12-27T09:05:54+00:00 | {"dataset_info": {"features": [{"name": "content", "dtype": "string"}, {"name": "markdown", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 82642012, "num_examples": 2067}], "download_size": 34862377, "dataset_size": 82642012}, "configs": [{"config_name": "default", "d... | 2023-12-27T09:10:06+00:00 | [] | [] | TAGS
#region-us
|
It is what it says on the tin, 2k websites that don't run javascript (aka: probably really old, and simple!). Filtering needs to be done to take out the defunct sites and error messages. I don't expect this is a hard task. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
8ea1f1dfafd8f548e5ff75c4babd9cf33be6a3bd | # ECMWF's ERA5, HRES, (and fake) data, formatted for DeepMind GraphCast
Original files are from this Google Cloud Bucket: https://console.cloud.google.com/storage/browser/dm_graphcast
This repo contains both the `dataset` and `stats` files needed for GraphCast inference.
## License and Attribution
ECMWF data product... | shermansiu/dm_graphcast_datasets | [
"language:en",
"license:cc-by-4.0",
"weather-forecasting",
"climate",
"arxiv:2212.12794",
"region:us"
] | 2023-12-27T09:09:21+00:00 | {"language": ["en"], "license": "cc-by-4.0", "pretty_name": "ECMWF's ERA5, HRES, (and fake) data, formatted for DeepMind GraphCast", "tags": ["weather-forecasting", "climate"], "configs": [{"config_name": "source-era5_date-2022-01-01_res-0.25_levels-13_steps-01", "data_files": "dataset/source-era5_date-2022-01-01_res-0... | 2023-12-29T02:01:03+00:00 | [
"2212.12794"
] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #weather-forecasting #climate #arxiv-2212.12794 #region-us
| # ECMWF's ERA5, HRES, (and fake) data, formatted for DeepMind GraphCast
Original files are from this Google Cloud Bucket: URL
This repo contains both the 'dataset' and 'stats' files needed for GraphCast inference.
## License and Attribution
ECMWF data products are subject to the following terms:
1. Copyright statem... | [
"# ECMWF's ERA5, HRES, (and fake) data, formatted for DeepMind GraphCast\n\nOriginal files are from this Google Cloud Bucket: URL\n\nThis repo contains both the 'dataset' and 'stats' files needed for GraphCast inference.",
"## License and Attribution\nECMWF data products are subject to the following terms:\n\n1. ... | [
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3375790412fe5b50ba2e9afef8d2644ddf3e4511 | # Dataset Card for "uf_no_to_questions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yimingzhang/uf_no_to_questions | [
"region:us"
] | 2023-12-27T09:14:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_prefs", "path": "data/train_prefs-*"}, {"split": "test_prefs", "path": "data/test_prefs-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejec... | 2023-12-27T09:14:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "uf_no_to_questions"
More Information needed | [
"# Dataset Card for \"uf_no_to_questions\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"uf_no_to_questions\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"uf_no_to_questions\"\n\nMore Information needed"
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58f180e2ad2d5dcefd5e20a7067bc6774b2b2994 |
# MedQuad-1k: Llama 2 Formatting
This is a subset (1000 samples) of the [`keivalya/MedQuad-MedicalQnADataset`](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset) dataset, processed to match Llama 2's prompt format as described [in this article](https://huggingface.co/blog/llama2#how-to-prompt-llama-... | thillaic/MedQuad-MedicalQnADataset-Llama2-1k | [
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"medical",
"region:us"
] | 2023-12-27T09:20:48+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"], "pretty_name": "MedicalQnADataset", "tags": ["medical"]} | 2023-12-27T13:51:17+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #size_categories-1K<n<10K #language-English #license-mit #medical #region-us
|
# MedQuad-1k: Llama 2 Formatting
This is a subset (1000 samples) of the 'keivalya/MedQuad-MedicalQnADataset' dataset, processed to match Llama 2's prompt format as described in this article.
| [
"# MedQuad-1k: Llama 2 Formatting\n\nThis is a subset (1000 samples) of the 'keivalya/MedQuad-MedicalQnADataset' dataset, processed to match Llama 2's prompt format as described in this article."
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12d91b7a482bd47e046400e998c277e3a7c76207 | # Dataset Card for "dabur_361"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nitinbhayana/dabur_361 | [
"region:us"
] | 2023-12-27T09:20:54+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 140926, "num_examples": 1037}, {"name": "test", "num_bytes": 63802, "num_examples": 462}], "download_size": 98490, "dataset_size": 204728}} | 2023-12-27T09:20:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dabur_361"
More Information needed | [
"# Dataset Card for \"dabur_361\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"dabur_361\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"dabur_361\"\n\nMore Information needed"
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6a63d6dabeb4c1a4dc8bd0943d5b24936b7fcf03 | # Dataset Card for "d2p_raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/d2p_raw | [
"region:us"
] | 2023-12-27T09:45:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "tex... | 2023-12-27T10:29:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "d2p_raw"
More Information needed | [
"# Dataset Card for \"d2p_raw\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"d2p_raw\"\n\nMore Information needed"
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56af31c2bb770371974508a47b3e8193a73dc3af | # Dataset Card for "oasst-ru-dpo-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 0x7o/oasst-ru-dpo-v1 | [
"region:us"
] | 2023-12-27T10:13:54+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3847248.0, "num_examples": 1322}], "download_size": 1926633, "dataset_size": 3847248.0}} | 2023-12-27T10:13:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oasst-ru-dpo-v1"
More Information needed | [
"# Dataset Card for \"oasst-ru-dpo-v1\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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e4e262bd0ceb3c063af37e4cb76f4a59ad91b7eb | # Trelis Function Calling Dataset - VERSION 3 - SAMPLE
> This is a SAMPLE of the v3 dataset available for purchase [here](https://huggingface.co/datasets/Trelis/function_calling_v3/edit/main/README.md).
Features:
- Allows models to be fine-tuned for function-calling.
- The dataset is human generated and does not mak... | Trelis/function_calling_v3_SAMPLE | [
"task_categories:question-answering",
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"function call",
"function calling",
"function-calling",
"region:us"
] | 2023-12-27T10:18:25+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["question-answering", "conversational", "text-generation"], "tags": ["function call", "function calling", "function-calling"]} | 2023-12-27T10:23:22+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-conversational #task_categories-text-generation #size_categories-n<1K #language-English #function call #function calling #function-calling #region-us
| # Trelis Function Calling Dataset - VERSION 3 - SAMPLE
> This is a SAMPLE of the v3 dataset available for purchase here.
Features:
- Allows models to be fine-tuned for function-calling.
- The dataset is human generated and does not make use of Llama 2 or OpenAI!
- The dataset includes 66 training rows, 19 validation... | [
"# Trelis Function Calling Dataset - VERSION 3 - SAMPLE\n\n> This is a SAMPLE of the v3 dataset available for purchase here. \n\nFeatures:\n- Allows models to be fine-tuned for function-calling.\n- The dataset is human generated and does not make use of Llama 2 or OpenAI!\n- The dataset includes 66 training rows, 1... | [
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41d2c098f216a057e17818f9ab048c6b7b4865be |
## Prepared dataset from roneneldan/TinyStoriesV2-GPT4
# Data Preparation pipeline.
- Download TinyStoriesV2-GPT4-train.txt from https://huggingface.co/datasets/roneneldan/TinyStories/blob/main/TinyStoriesV2-GPT4-train.txt
```
raw = open('TinyStoriesV2-GPT4-train.txt').readlines()
stories = []
for x in tqdm(raw,tot... | maveriq/tinystoriesv2_gpt4 | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | 2023-12-27T10:34:06+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "pretty_name": "TinyStoriesV2-GPT4", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2234135574, "num_examples": 2717699}, {"name": "valid", "num_bytes": 22567397, ... | 2023-12-27T10:46:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-English #region-us
|
## Prepared dataset from roneneldan/TinyStoriesV2-GPT4
# Data Preparation pipeline.
- Download URL from URL
- Repeat for validation split | [
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ef9d773aba938b72997c455b49b74ca67e16e071 |
# Web Camera Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under **different lighting conditions** and with **different attributes** (*glasses, masks, hats, hoods, wigs, and mustaches for men*).
In the dataset, there are **7 types of ... | TrainingDataPro/web-camera-face-liveness-detection | [
"task_categories:video-classification",
"task_categories:image-classification",
"task_categories:image-to-image",
"language:en",
"license:cc-by-nc-nd-4.0",
"code",
"finance",
"biology",
"legal",
"region:us"
] | 2023-12-27T12:30:24+00:00 | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["video-classification", "image-classification", "image-to-image"], "tags": ["code", "finance", "biology", "legal"]} | 2023-12-27T13:20:50+00:00 | [] | [
"en"
] | TAGS
#task_categories-video-classification #task_categories-image-classification #task_categories-image-to-image #language-English #license-cc-by-nc-nd-4.0 #code #finance #biology #legal #region-us
|
# Web Camera Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under different lighting conditions and with different attributes (*glasses, masks, hats, hoods, wigs, and mustaches for men*).
In the dataset, there are 7 types of videos fil... | [
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cc6e2a1cee8eb1019b6b4a5bbfd3d55e34d67011 |
# Dataset Card for Evaluation run of bit-dny/MindLLM
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [bit-dny/MindLLM](https://huggingface.co/bit-dny/MindLLM) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboa... | open-llm-leaderboard/details_bit-dny__MindLLM | [
"region:us"
] | 2023-12-27T12:35:31+00:00 | {"pretty_name": "Evaluation run of bit-dny/MindLLM", "dataset_summary": "Dataset automatically created during the evaluation run of model [bit-dny/MindLLM](https://huggingface.co/bit-dny/MindLLM) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed ... | 2023-12-27T12:35:58+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of bit-dny/MindLLM
Dataset automatically created during the evaluation run of model bit-dny/MindLLM on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run c... | [
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1f20c99d0a44c961e4b7efd48c95d23661bcd483 |
# Dataset Card for Evaluation run of Walmart-the-bag/Yi-6B-Infinity-Chat
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Walmart-the-bag/Yi-6B-Infinity-Chat](https://huggingface.co/Walmart-the-bag/Yi-6B-Infinity-Chat) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_Walmart-the-bag__Yi-6B-Infinity-Chat | [
"region:us"
] | 2023-12-27T12:45:38+00:00 | {"pretty_name": "Evaluation run of Walmart-the-bag/Yi-6B-Infinity-Chat", "dataset_summary": "Dataset automatically created during the evaluation run of model [Walmart-the-bag/Yi-6B-Infinity-Chat](https://huggingface.co/Walmart-the-bag/Yi-6B-Infinity-Chat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2023-12-27T12:46:00+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Walmart-the-bag/Yi-6B-Infinity-Chat
Dataset automatically created during the evaluation run of model Walmart-the-bag/Yi-6B-Infinity-Chat 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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11523196475823a5f57c1998f859d0e84830c738 |
# VBench Human Annotation
## Dataset Description
- **Homepage:** [VBench](https://vchitect.github.io/VBench-project/)
- **Repository:** [VBench-Code](https://github.com/Vchitect/VBench)
- **Paper:** [2311.17982](https://arxiv.org/abs/2311.17982)
- **Point of Contact:** mailto:[Ziqi](ZIQI002@e.ntu.edu.sg)
| Vchitect/VBench_human_annotation | [
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"arxiv:2311.17982",
"region:us"
] | 2023-12-27T12:46:46+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "pretty_name": "VBench Human Anno", "extra_gated_prompt": "You agree to not use the data to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "E-Mail": "text"}} | 2024-01-04T07:42:45+00:00 | [
"2311.17982"
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"en"
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#size_categories-1K<n<10K #language-English #license-mit #arxiv-2311.17982 #region-us
|
# VBench Human Annotation
## Dataset Description
- Homepage: VBench
- Repository: VBench-Code
- Paper: 2311.17982
- Point of Contact: mailto:Ziqi
| [
"# VBench Human Annotation",
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] |
a2d153eb15f72f6754922daf01da2d358942bca6 |
# Dataset Card for Evaluation run of ericpolewski/AIRIC-The-Mistral
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ericpolewski/AIRIC-The-Mistral](https://huggingface.co/ericpolewski/AIRIC-The-Mistral) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_ericpolewski__AIRIC-The-Mistral | [
"region:us"
] | 2023-12-27T12:47:02+00:00 | {"pretty_name": "Evaluation run of ericpolewski/AIRIC-The-Mistral", "dataset_summary": "Dataset automatically created during the evaluation run of model [ericpolewski/AIRIC-The-Mistral](https://huggingface.co/ericpolewski/AIRIC-The-Mistral) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-27T12:47:30+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of ericpolewski/AIRIC-The-Mistral
Dataset automatically created during the evaluation run of model ericpolewski/AIRIC-The-Mistral on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been cre... | [
"# Dataset Card for Evaluation run of ericpolewski/AIRIC-The-Mistral\n\n\n\nDataset automatically created during the evaluation run of model ericpolewski/AIRIC-The-Mistral 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 ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of ericpolewski/AIRIC-The-Mistral\n\n\n\nDataset automatically created during the evaluation run of model ericpolewski/AIRIC-The-Mistral on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evalua... | [
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baa868b943141b48656bdce15722171df6c2c1a5 |
# Portuguese Hate Speech Dataset (TuPy)
The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML)
and natural language processing (NLP) techniques. TuPy is comprised of 10,000 (ten thousand) unpublished... | Silly-Machine/TuPy-Dataset | [
"task_categories:text-classification",
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"multilinguality:monolingual",
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"source_datasets:original",
"language:pt",
"license:cc-by-4.0",
"hate-speech-detection",
"arxiv:2312.17704",
"doi:10.... | 2023-12-27T12:59:25+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["Brazilian-Portuguese"], "language": ["pt"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "TuPy-D... | 2024-01-01T14:43:46+00:00 | [
"2312.17704"
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| Portuguese Hate Speech Dataset (TuPy)
=====================================
The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML)
and natural language processing (NLP) techniques. TuPy is comprised o... | [
"#### Table 1 – Annotators\n\n\n\nData structure\n--------------\n\n\nA data point comprises the tweet text (a string) along with thirteen categories, each category is assigned a value of 0 when there is an absence of aggressive or hateful content and a value of 1 when such content is present. These values represen... | [
"TAGS\n#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-Brazilian-Portuguese #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Portuguese #license-cc-by-4.0 #hate-speech-detection #arxiv-2312.17704 #doi-10.57967/hf/1529 #region-us ... | [
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8f408a76b2aeffbce5f00779c7c37ce51e2dd175 |
[oasst2](https://huggingface.co/datasets/OpenAssistant/oasst2) in a friendlier format | euclaise/oasst2_rank | [
"license:apache-2.0",
"region:us"
] | 2023-12-27T13:00:05+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "history", "list": [{"name": "role", "dtype": "string"}, {"name": "text", "dtype": "string"}]}, {"name": "prompt", "dtype": "string"}, {"name": "completions", "list": [{"name": "labels", "struct": [{"name": "creativity", "struct": [{"name": "count", "dtyp... | 2023-12-27T13:10:44+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
oasst2 in a friendlier format | [] | [
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14
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"passage: TAGS\n#license-apache-2.0 #region-us \n"
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a26926bcebbd7a26ed6744d5f40bf307a3c92e83 |
# Dataset Card for Evaluation run of SanjiWatsuki/openchat-3.5-1210-starling-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SanjiWatsuki/openchat-3.5-1210-starling-slerp](https://huggingface.co/SanjiWatsuki/openchat-3.5-1210-starling-slerp) on... | open-llm-leaderboard/details_SanjiWatsuki__openchat-3.5-1210-starling-slerp | [
"region:us"
] | 2023-12-27T13:01:39+00:00 | {"pretty_name": "Evaluation run of SanjiWatsuki/openchat-3.5-1210-starling-slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [SanjiWatsuki/openchat-3.5-1210-starling-slerp](https://huggingface.co/SanjiWatsuki/openchat-3.5-1210-starling-slerp) on the [Open LLM Leaderboard](http... | 2023-12-27T13:02:01+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SanjiWatsuki/openchat-3.5-1210-starling-slerp
Dataset automatically created during the evaluation run of model SanjiWatsuki/openchat-3.5-1210-starling-slerp on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated t... | [
"# Dataset Card for Evaluation run of SanjiWatsuki/openchat-3.5-1210-starling-slerp\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/openchat-3.5-1210-starling-slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the e... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of SanjiWatsuki/openchat-3.5-1210-starling-slerp\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/openchat-3.5-1210-starling-slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one cor... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of SanjiWatsuki/openchat-3.5-1210-starling-slerp\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/openchat-3.5-1210-starling-slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one ... |
135ec2a89eb2e5a50875d43cbe851cdd0ea10bad |
# Dataset Card for Evaluation run of Zangs3011/gpt2_137m_DolphinCoder
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Zangs3011/gpt2_137m_DolphinCoder](https://huggingface.co/Zangs3011/gpt2_137m_DolphinCoder) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_Zangs3011__gpt2_137m_DolphinCoder | [
"region:us"
] | 2023-12-27T13:04:35+00:00 | {"pretty_name": "Evaluation run of Zangs3011/gpt2_137m_DolphinCoder", "dataset_summary": "Dataset automatically created during the evaluation run of model [Zangs3011/gpt2_137m_DolphinCoder](https://huggingface.co/Zangs3011/gpt2_137m_DolphinCoder) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2023-12-27T13:04:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Zangs3011/gpt2_137m_DolphinCoder
Dataset automatically created during the evaluation run of model Zangs3011/gpt2_137m_DolphinCoder on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been... | [
"# Dataset Card for Evaluation run of Zangs3011/gpt2_137m_DolphinCoder\n\n\n\nDataset automatically created during the evaluation run of model Zangs3011/gpt2_137m_DolphinCoder on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe data... | [
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"# Dataset Card for Evaluation run of Zangs3011/gpt2_137m_DolphinCoder\n\n\n\nDataset automatically created during the evaluation run of model Zangs3011/gpt2_137m_DolphinCoder on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the ev... | [
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2d805f6b185c94f448b037f48e87056aaed80b7a |
# Dataset Card for Evaluation run of fblgit/LUNA-SOLARkrautLM-Instruct
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [fblgit/LUNA-SOLARkrautLM-Instruct](https://huggingface.co/fblgit/LUNA-SOLARkrautLM-Instruct) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_fblgit__LUNA-SOLARkrautLM-Instruct | [
"region:us"
] | 2023-12-27T13:07:11+00:00 | {"pretty_name": "Evaluation run of fblgit/LUNA-SOLARkrautLM-Instruct", "dataset_summary": "Dataset automatically created during the evaluation run of model [fblgit/LUNA-SOLARkrautLM-Instruct](https://huggingface.co/fblgit/LUNA-SOLARkrautLM-Instruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2023-12-27T13:07:32+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of fblgit/LUNA-SOLARkrautLM-Instruct
Dataset automatically created during the evaluation run of model fblgit/LUNA-SOLARkrautLM-Instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
"# Dataset Card for Evaluation run of fblgit/LUNA-SOLARkrautLM-Instruct\n\n\n\nDataset automatically created during the evaluation run of model fblgit/LUNA-SOLARkrautLM-Instruct on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe da... | [
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5218d9413a612b165c2d3a32231755d5b6a24577 |
# Dataset Card for Evaluation run of SanjiWatsuki/Loyal-Macaroni-Maid-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SanjiWatsuki/Loyal-Macaroni-Maid-7B](https://huggingface.co/SanjiWatsuki/Loyal-Macaroni-Maid-7B) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_SanjiWatsuki__Loyal-Macaroni-Maid-7B | [
"region:us"
] | 2023-12-27T13:07:47+00:00 | {"pretty_name": "Evaluation run of SanjiWatsuki/Loyal-Macaroni-Maid-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [SanjiWatsuki/Loyal-Macaroni-Maid-7B](https://huggingface.co/SanjiWatsuki/Loyal-Macaroni-Maid-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2023-12-27T13:08:09+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SanjiWatsuki/Loyal-Macaroni-Maid-7B
Dataset automatically created during the evaluation run of model SanjiWatsuki/Loyal-Macaroni-Maid-7B 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 SanjiWatsuki/Loyal-Macaroni-Maid-7B\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/Loyal-Macaroni-Maid-7B 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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"# Dataset Card for Evaluation run of SanjiWatsuki/Loyal-Macaroni-Maid-7B\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/Loyal-Macaroni-Maid-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of SanjiWatsuki/Loyal-Macaroni-Maid-7B\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/Loyal-Macaroni-Maid-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one ... |
e5610811761fed6e6fde27f607b7391eecef249d |
# Dataset Card for Evaluation run of SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me](https://huggingface.co/SanjiWatsuki/neural-chat-7b-v3-3-wiza... | open-llm-leaderboard/details_SanjiWatsuki__neural-chat-7b-v3-3-wizardmath-dare-me | [
"region:us"
] | 2023-12-27T13:10:06+00:00 | {"pretty_name": "Evaluation run of SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me", "dataset_summary": "Dataset automatically created during the evaluation run of model [SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me](https://huggingface.co/SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me) on the [Open LLM... | 2023-12-27T13:10:27+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me
Dataset automatically created during the evaluation run of model SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the... | [
"# Dataset Card for Evaluation run of SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to ... | [
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"# Dataset Card for Evaluation run of SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me\n\n\n\nDataset automatically created during the evaluation run of model SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuratio... |
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# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7b_v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NExtNewChattingAI/shark_tank_ai_7b_v2](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7b_v2) on the [Open LLM Leaderboa... | open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7b_v2 | [
"region:us"
] | 2023-12-27T13:10:50+00:00 | {"pretty_name": "Evaluation run of NExtNewChattingAI/shark_tank_ai_7b_v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [NExtNewChattingAI/shark_tank_ai_7b_v2](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7b_v2) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2023-12-30T02:11:02+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7b_v2
Dataset automatically created during the evaluation run of model NExtNewChattingAI/shark_tank_ai_7b_v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The datase... | [
"# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7b_v2\n\n\n\nDataset automatically created during the evaluation run of model NExtNewChattingAI/shark_tank_ai_7b_v2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7b_v2\n\n\n\nDataset automatically created during the evaluation run of model NExtNewChattingAI/shark_tank_ai_7b_v2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7b_v2\n\n\n\nDataset automatically created during the evaluation run of model NExtNewChattingAI/shark_tank_ai_7b_v2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to ... |
9ed2c1f303e2e1eb3ad2cd2debb4da52987c7794 |
# Dataset Card for Evaluation run of zyh3826/GML-Mistral-merged-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [zyh3826/GML-Mistral-merged-v1](https://huggingface.co/zyh3826/GML-Mistral-merged-v1) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_zyh3826__GML-Mistral-merged-v1 | [
"region:us"
] | 2023-12-27T13:20:12+00:00 | {"pretty_name": "Evaluation run of zyh3826/GML-Mistral-merged-v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [zyh3826/GML-Mistral-merged-v1](https://huggingface.co/zyh3826/GML-Mistral-merged-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2023-12-27T13:20:33+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of zyh3826/GML-Mistral-merged-v1
Dataset automatically created during the evaluation run of model zyh3826/GML-Mistral-merged-v1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been creat... | [
"# Dataset Card for Evaluation run of zyh3826/GML-Mistral-merged-v1\n\n\n\nDataset automatically created during the evaluation run of model zyh3826/GML-Mistral-merged-v1 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 ha... | [
"TAGS\n#region-us \n",
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45f527d8a82d19a209c129884e39739a1594588e | # Dataset Card for "tuluv2_sft_mixture_no_science"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kejian/tuluv2_sft_mixture_no_science | [
"region:us"
] | 2023-12-27T13:22:33+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "dataset", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "messages", "list": [{"name": "role", "dtype": "string"}, {"name": "content", "dtype": "string"}]}], "sp... | 2023-12-27T13:26:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tuluv2_sft_mixture_no_science"
More Information needed | [
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a79da805dfe1f81cec4c28d090f7f6af2caa861d |
# Dataset Card for Evaluation run of bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED](https://huggingface.co/bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED) on the [Open L... | open-llm-leaderboard/details_bn22__OpenHermes-2.5-Mistral-7B-MISALIGNED | [
"region:us"
] | 2023-12-27T13:25:18+00:00 | {"pretty_name": "Evaluation run of bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED", "dataset_summary": "Dataset automatically created during the evaluation run of model [bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED](https://huggingface.co/bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED) on the [Open LLM Leaderboard](https://huggingf... | 2023-12-27T13:25:39+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED
Dataset automatically created during the evaluation run of model bn22/OpenHermes-2.5-Mistral-7B-MISALIGNED on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
Th... | [
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a360af45b7d6de5ff0d483e886d93df1c3566e0a |
# Mobile Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under **different lighting conditions** and with **different attributes** (*glasses, masks, hats, hoods, wigs, and mustaches for men*).
In the dataset, there are **4 types of vide... | TrainingDataPro/on-device-face-liveness-detection | [
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] | 2023-12-27T13:59:39+00:00 | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["video-classification", "image-to-image", "image-classification"]} | 2023-12-27T14:09:17+00:00 | [] | [
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# Mobile Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under different lighting conditions and with different attributes (*glasses, masks, hats, hoods, wigs, and mustaches for men*).
In the dataset, there are 4 types of videos filmed ... | [
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bd0dde233f28d0b781510fe97d80303becd2daa3 |
# Dataset Card for Evaluation run of Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp](https://huggingface.co/Weyaxi/OpenHerm... | open-llm-leaderboard/details_Weyaxi__OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp | [
"region:us"
] | 2023-12-27T14:08:04+00:00 | {"pretty_name": "Evaluation run of Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat... | 2023-12-27T14:08:25+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
Dataset automatically created during the evaluation run of model Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one core... | [
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774edfc6bf92e9ca0ad29aeb5c1eccf4e9968182 | # Dataset Card for "paddy-disease-classification"
Taken from the Paddy Doctor Kaggle [Competition](https://www.kaggle.com/competitions/paddy-disease-classification/)
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | anthony2261/paddy-disease-classification | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"biology",
"medical",
"region:us"
] | 2023-12-27T14:13:38+00:00 | {"size_categories": ["1K<n<10K"], "task_categories": ["image-classification"], "pretty_name": "Paddy Disease Classification", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bacterial_leaf_blight", "1": "bacterial_leaf_streak", "2": "bacteri... | 2023-12-27T18:40:23+00:00 | [] | [] | TAGS
#task_categories-image-classification #size_categories-1K<n<10K #biology #medical #region-us
| # Dataset Card for "paddy-disease-classification"
Taken from the Paddy Doctor Kaggle Competition
More Information needed | [
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6d5fbd45e94980223650aa9aa061ab4bf3f2fa88 |
# National Taiwan Normal University Course Catalog
Range: 109-1 ~ 112-1
## Data
Each dataset is an array of objects, each object represents a course:
```ts
interface Course {
serial: number
code: string
name: string
ename: string
type: string
department: string
form: string
credit: number
duratio... | JacobLinCool/NTNU-Course | [
"language:zh",
"region:us"
] | 2023-12-27T14:17:51+00:00 | {"language": ["zh"]} | 2023-12-27T18:37:25+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #region-us
|
# National Taiwan Normal University Course Catalog
Range: 109-1 ~ 112-1
## Data
Each dataset is an array of objects, each object represents a course:
## Copyright
The copyright is owned by National Taiwan Normal University.
Source: <URL
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] |
9fed8a0dcabfdae8d75e9aec8412b57981122db0 |
# Dataset Card for Evaluation run of openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf)... | open-llm-leaderboard/details_openthaigpt__openthaigpt-1.0.0-beta-13b-chat-hf | [
"region:us"
] | 2023-12-27T14:28:32+00:00 | {"pretty_name": "Evaluation run of openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf", "dataset_summary": "Dataset automatically created during the evaluation run of model [openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf) on the [Open LLM Leaderboard](h... | 2023-12-29T13:19:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf
Dataset automatically created during the evaluation run of model openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated... | [
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# Dataset Card for Evaluation run of openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-7b-c... | open-llm-leaderboard/details_openthaigpt__openthaigpt-1.0.0-beta-7b-chat-ckpt-hf | [
"region:us"
] | 2023-12-27T14:29:08+00:00 | {"pretty_name": "Evaluation run of openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf", "dataset_summary": "Dataset automatically created during the evaluation run of model [openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf) on the [Open LLM Le... | 2023-12-29T21:21:05+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf
Dataset automatically created during the evaluation run of model openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf 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 kyujinpy/Sakura-SOLAR-Instruct
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_kyujinpy__Sakura-SOLAR-Instruct | [
"region:us"
] | 2023-12-27T14:33:30+00:00 | {"pretty_name": "Evaluation run of kyujinpy/Sakura-SOLAR-Instruct", "dataset_summary": "Dataset automatically created during the evaluation run of model [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-27T14:33:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kyujinpy/Sakura-SOLAR-Instruct
Dataset automatically created during the evaluation run of model kyujinpy/Sakura-SOLAR-Instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been cre... | [
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# Dataset Card for Evaluation run of buildingthemoon/testfinetunedmodel
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [buildingthemoon/testfinetunedmodel](https://huggingface.co/buildingthemoon/testfinetunedmodel) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_buildingthemoon__testfinetunedmodel | [
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] | 2023-12-27T16:11:03+00:00 | {"pretty_name": "Evaluation run of buildingthemoon/testfinetunedmodel", "dataset_summary": "Dataset automatically created during the evaluation run of model [buildingthemoon/testfinetunedmodel](https://huggingface.co/buildingthemoon/testfinetunedmodel) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2023-12-27T16:11:23+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of buildingthemoon/testfinetunedmodel
Dataset automatically created during the evaluation run of model buildingthemoon/testfinetunedmodel 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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7d72a2464d1394fb3d0d35105467019d1ca02527 |
No- robots dataset translated to Kannada (KN) with chat and code data removed. | Tensoic/no_robots_kn | [
"task_categories:text-generation",
"language:kn",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-27T16:15:10+00:00 | {"language": ["kn"], "license": "cc-by-nc-4.0", "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "RESPONSE", "dtype": "string"}, {"name": "INSTRUCTION", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30672322, "num_examples": 8370}], "download_size": 11600467, "dataset_size... | 2024-01-03T16:45:09+00:00 | [] | [
"kn"
] | TAGS
#task_categories-text-generation #language-Kannada #license-cc-by-nc-4.0 #region-us
|
No- robots dataset translated to Kannada (KN) with chat and code data removed. | [] | [
"TAGS\n#task_categories-text-generation #language-Kannada #license-cc-by-nc-4.0 #region-us \n"
] | [
33
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14d288b8dc42542d59ef0434cc4cc6fba807acaa |
# Dataset Card for `Shakespearean and Modern English Conversational Dataset`
## Table of Contents
- [Dataset Card for `Shakespearean and Modern English Conversational Dataset`](#dataset-card-for-shakespearean-and-modern-english-conversational-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Descripti... | Roudranil/shakespearean-and-modern-english-conversational-dataset | [
"size_categories:n<10K",
"language:en",
"fine-tuning",
"shakespeare",
"region:us"
] | 2023-12-27T16:36:01+00:00 | {"language": ["en"], "size_categories": ["n<10K"], "pretty_name": "SandMec", "tags": ["fine-tuning", "shakespeare"], "task-categories": ["text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train.csv"}, {"split": "test", "path": "data/test.csv"}]}], "dataset_info": ... | 2023-12-28T18:11:41+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<10K #language-English #fine-tuning #shakespeare #region-us
|
# Dataset Card for 'Shakespearean and Modern English Conversational Dataset'
## Table of Contents
- Dataset Card for 'Shakespearean and Modern English Conversational Dataset'
- Table of Contents
- Dataset Description
- Dataset Summary
## Dataset Description
- Homepage: SandMec
- Repository: Roudranil/shakes... | [
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378d10de89a5078b799d61228729c15d5e7db459 | ## Table of Contents
- [Dataset Summary](#dataset-summary)
- [Dataset Attribution](#dataset-attribution)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [... | polinaeterna/OpenOrca | [
"task_categories:conversational",
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:table-question-answering",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
"task_categories:summarization",
"task_categories:feature-extra... | 2023-12-27T17:23:46+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10M<n<100M"], "task_categories": ["conversational", "text-classification", "token-classification", "table-question-answering", "question-answering", "zero-shot-classification", "summarization", "feature-extraction", "text-generation", "text2text-generation"], ... | 2023-12-27T17:23:49+00:00 | [
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#task_categories-conversational #task_categories-text-classification #task_categories-token-classification #task_categories-table-question-answering #task_categories-question-answering #task_categories-zero-shot-classification #task_categories-summarization #task_categories-feature-extraction #task_categories-text... | ## Table of Contents
- Dataset Summary
- Dataset Attribution
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Dataset Use
- Use Cases
- Usage Caveats
- Getting Started
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ba709f73806a9657ad1ffc4f0dda99b10d27b04e | ### Audio dataset from Library "Milutin Bojic" digital repository
This dataset is created from multimedia digital collection, using srt files to spit audio. The content of dataset is material that our member, Mihailo Miljkovic dictated in recorder his memories from his very interesting life.
Great thanks go to the gr... | Sagicc/audio-lmb-ds | [
"size_categories:1K<n<10K",
"language:sr",
"region:us"
] | 2023-12-27T17:25:14+00:00 | {"language": ["sr"], "size_categories": ["1K<n<10K"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcript", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 529807303.082, "num_examples": 2493}], "download_s... | 2023-12-29T16:09:20+00:00 | [] | [
"sr"
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#size_categories-1K<n<10K #language-Serbian #region-us
| ### Audio dataset from Library "Milutin Bojic" digital repository
This dataset is created from multimedia digital collection, using srt files to spit audio. The content of dataset is material that our member, Mihailo Miljkovic dictated in recorder his memories from his very interesting life.
Great thanks go to the gr... | [
"### Audio dataset from Library \"Milutin Bojic\" digital repository\n\nThis dataset is created from multimedia digital collection, using srt files to spit audio. The content of dataset is material that our member, Mihailo Miljkovic dictated in recorder his memories from his very interesting life.\n\nGreat thanks g... | [
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65d41436a9347f9fc4feb8f1a93d9efd8e60abe4 | The archive contains a comfyuui-portable with uploaded nods.
ComfyUI is great, however you have to download many different add-ons. You can access my kit here.
Links to WF running on this kit:
https://civitai.com/articles/3451/deep-cache-lcm-and-sdxl-is-so-fast
https://civitai.com/articles/3517/improved-face-generatio... | Aderek514/comfyui | [
"license:other",
"region:us"
] | 2023-12-27T17:35:27+00:00 | {"license": "other", "license_name": "comfyui", "license_link": "LICENSE"} | 2023-12-28T08:00:55+00:00 | [] | [] | TAGS
#license-other #region-us
| The archive contains a comfyuui-portable with uploaded nods.
ComfyUI is great, however you have to download many different add-ons. You can access my kit here.
Links to WF running on this kit:
URL
URL
URL
You have to change file extra_model_paths.yaml to yours setting, because there are mine
"base_path: C:/Users/Ad... | [] | [
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d48d3028e44f4f707559ae1f3c2cdcc6e318a1d5 | Data for finetuning a model for generating BP code
---
task_categories:
- text-generation
language:
- en
tags:
- code
---
| ronzi10/NLP4BP | [
"region:us"
] | 2023-12-27T17:36:31+00:00 | {} | 2023-12-27T17:38:46+00:00 | [] | [] | TAGS
#region-us
| Data for finetuning a model for generating BP code
---
task_categories:
- text-generation
language:
- en
tags:
- code
---
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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08b7b58f5cc9da28be12602dd5f6cdce84165d0a | # Dataset Card for "code_search_net_python_func_names"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hynky/code_search_net_python_func_names | [
"region:us"
] | 2023-12-27T18:55:37+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "source_code", "dtype": "string"}, {"name": "function_name", "dtype": "string"}, {"... | 2023-12-27T18:56:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code_search_net_python_func_names"
More Information needed | [
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3a6cf6003c870d1f5608cfe76b998157c7164558 |
# Dataset of Tooru
This is the dataset of Tooru, containing 585 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
| Name ... | CyberHarem/tooru_kobayashisanchinomaidragon | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-27T19:09:19+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-27T19:13:55+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Tooru
================
This is the dataset of Tooru, containing 585 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
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44
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e86cbf98aa372f68d0478b8726f0fdf174b061cd |
# Dataset Card for Evaluation run of saberai/Zro1.5_3B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [saberai/Zro1.5_3B](https://huggingface.co/saberai/Zro1.5_3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_lea... | open-llm-leaderboard/details_saberai__Zro1.5_3B | [
"region:us"
] | 2023-12-27T19:35:24+00:00 | {"pretty_name": "Evaluation run of saberai/Zro1.5_3B", "dataset_summary": "Dataset automatically created during the evaluation run of model [saberai/Zro1.5_3B](https://huggingface.co/saberai/Zro1.5_3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is com... | 2023-12-27T19:35:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of saberai/Zro1.5_3B
Dataset automatically created during the evaluation run of model saberai/Zro1.5_3B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each r... | [
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cac9719ccf9b2b9506da7a3c5da225617a928e46 |
# Dataset of Kanna Kamui
This is the dataset of Kanna Kamui, containing 363 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
|... | CyberHarem/kanna_kamui_kobayashisanchinomaidragon | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-27T19:45:23+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-27T19:47:56+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Kanna Kamui
======================
This is the dataset of Kanna Kamui, containing 363 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
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44
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bec91a4ba73bd80d5f67617461cf93ee8f962294 |
The dataset is derived from [mounikaiiith/Telugu_Emotion](https://huggingface.co/datasets/mounikaiiith/Telugu_Emotion) and has been transliterated using [ai4bharat-transliteration](https://pypi.org/project/ai4bharat-transliteration/) and [Indic Trans](https://ai4bharat.iitm.ac.in/indic-trans2/).
| eswardivi/transliter_telugu_reviews | [
"region:us"
] | 2023-12-27T19:46:33+00:00 | {"dataset_info": {"features": [{"name": "Sentence", "dtype": "string"}, {"name": "IndicXlit", "dtype": "string"}, {"name": "IndicTrans", "dtype": "string"}, {"name": "Hybrid", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1303856, "num_examples": 2460}], "download_size": 778266, "dataset_size": 1303856... | 2024-01-25T10:31:35+00:00 | [] | [] | TAGS
#region-us
|
The dataset is derived from mounikaiiith/Telugu_Emotion and has been transliterated using ai4bharat-transliteration and Indic Trans.
| [] | [
"TAGS\n#region-us \n"
] | [
6
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2cea456a4def2cd5cd9b61cb2d4d65ef8d7f2a0b | OpenAssistant TOP-1 Conversation Threads
Guanacco style export of the best conversation threads from the open-assistant.io database
exported August 25, 2023
jsonl files with chatml formatted conversations
train: 4,295 samples
Only Spanish examples
Add colum to count number of messages | dbuos/oasst_top1_es | [
"language:es",
"license:apache-2.0",
"region:us"
] | 2023-12-27T20:08:16+00:00 | {"language": ["es"], "license": "apache-2.0", "pretty_name": "a", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "num_turns", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 6302055, "num_examples": 4295}], "download_size": 3386782, "datase... | 2023-12-27T20:13:11+00:00 | [] | [
"es"
] | TAGS
#language-Spanish #license-apache-2.0 #region-us
| OpenAssistant TOP-1 Conversation Threads
Guanacco style export of the best conversation threads from the URL database
exported August 25, 2023
jsonl files with chatml formatted conversations
train: 4,295 samples
Only Spanish examples
Add colum to count number of messages | [] | [
"TAGS\n#language-Spanish #license-apache-2.0 #region-us \n"
] | [
19
] | [
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f4487bcf5a2cfc17ae69ea7fa095e0dd6090b727 | #### OpenAssistant TOP-1 Conversation Threads
##### Guanacco style export of the best conversation threads from the open-assistant.io database
- exported August 25, 2023
- jsonl files with chatml formatted conversations
- train: 5,023 samples
- Only English examples
- Add column to count number of messages | dbuos/oasst_top1_en | [
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-27T20:16:05+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "num_turns", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 9908776, "num_examples": 5023}], "download_size": 527... | 2023-12-27T20:21:21+00:00 | [] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-apache-2.0 #region-us
| #### OpenAssistant TOP-1 Conversation Threads
##### Guanacco style export of the best conversation threads from the URL database
- exported August 25, 2023
- jsonl files with chatml formatted conversations
- train: 5,023 samples
- Only English examples
- Add column to count number of messages | [
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35d8b50b4c8fd7e4754bbfabde7bd2683885005d | # OpenAssistant TOP-1 Conversation Threads
- [Guanacco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) style export of the best conversation threads from the [open-assistant.io](https://open-assistant.io/) database
- exported August 25, 2023
- jsonl files with [chatml](https://github.com/openai/ope... | dbuos/oasst_top1_2023-08-25_languages | [
"task_categories:conversational",
"size_categories:10K<n<100K",
"license:apache-2.0",
"region:us"
] | 2023-12-27T20:26:19+00:00 | {"license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["conversational"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23211220, "num_examples": 12947}], "download_size": 13220375, "dataset_si... | 2023-12-27T20:28:47+00:00 | [] | [] | TAGS
#task_categories-conversational #size_categories-10K<n<100K #license-apache-2.0 #region-us
| # OpenAssistant TOP-1 Conversation Threads
- Guanacco style export of the best conversation threads from the URL database
- exported August 25, 2023
- jsonl files with chatml formatted conversations
- train: 12,947 samples
- With a column indicating the language used. | [
"# OpenAssistant TOP-1 Conversation Threads\n\n- Guanacco style export of the best conversation threads from the URL database\n- exported August 25, 2023\n- jsonl files with chatml formatted conversations\n- train: 12,947 samples\n- With a column indicating the language used."
] | [
"TAGS\n#task_categories-conversational #size_categories-10K<n<100K #license-apache-2.0 #region-us \n",
"# OpenAssistant TOP-1 Conversation Threads\n\n- Guanacco style export of the best conversation threads from the URL database\n- exported August 25, 2023\n- jsonl files with chatml formatted conversations\n- tra... | [
36,
68
] | [
"passage: TAGS\n#task_categories-conversational #size_categories-10K<n<100K #license-apache-2.0 #region-us \n# OpenAssistant TOP-1 Conversation Threads\n\n- Guanacco style export of the best conversation threads from the URL database\n- exported August 25, 2023\n- jsonl files with chatml formatted conversations\n- ... |
97bc4669b35bf9a3c843a321285c4b57eb72d9c0 |
# Dataset of Kobayashi
This is the dataset of Kobayashi, containing 552 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
| Nam... | CyberHarem/kobayashi_kobayashisanchinomaidragon | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-27T20:37:53+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-27T20:41:59+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Kobayashi
====================
This is the dataset of Kobayashi, containing 552 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
69b0991ee606079105c4f9e271bcc1fef0014e03 | # Multilingual ARC
## Dataset Summary
This dataset is a machine translated version of the [ARC dataset](https://huggingface.co/datasets/ai2_arc).
The Icelandic (is) part was translated with [Miðeind](https://mideind.is/english.html)'s Greynir model and Norwegian (nb) was translated with [DeepL](https://deepl.com/). Th... | alexandrainst/m_arc | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"size_categories:10K<n<100K",
"language:ar",
"language:bn",
"language:ca",
"language:da",
"language:de",
"language:en",
"language:es",
"language:eu",
"language:fr",
"language:gu",
"language:hi",
"language:hr",
"langua... | 2023-12-27T20:54:59+00:00 | {"language": ["ar", "bn", "ca", "da", "de", "en", "es", "eu", "fr", "gu", "hi", "hr", "hu", "hy", "id", "is", "it", "kn", "ml", "mr", "nb", "no", "ne", "nl", "pt", "ro", "ru", "sk", "sr", "sv", "ta", "te", "uk", "vi", "zh"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-ans... | 2024-01-15T14:53:25+00:00 | [] | [
"ar",
"bn",
"ca",
"da",
"de",
"en",
"es",
"eu",
"fr",
"gu",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"kn",
"ml",
"mr",
"nb",
"no",
"ne",
"nl",
"pt",
"ro",
"ru",
"sk",
"sr",
"sv",
"ta",
"te",
"uk",
"vi",
"zh"
] | TAGS
#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-English #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-H... | # Multilingual ARC
## Dataset Summary
This dataset is a machine translated version of the ARC dataset.
The Icelandic (is) part was translated with Miðeind's Greynir model and Norwegian (nb) was translated with DeepL. The rest of the languages was translated using GPT-3.5-turbo by the University of Oregon, and this par... | [
"# Multilingual ARC",
"## Dataset Summary\nThis dataset is a machine translated version of the ARC dataset.\n\nThe Icelandic (is) part was translated with Miðeind's Greynir model and Norwegian (nb) was translated with DeepL. The rest of the languages was translated using GPT-3.5-turbo by the University of Oregon,... | [
"TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-English #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #lang... | [
251,
6,
102
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-English #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croat... |
9d31dc982bd6285e081e3e3136332a38b9c1d7b7 | # Multilingual HellaSwag
## Dataset Summary
This dataset is a machine translated version of the [HellaSwag dataset](https://huggingface.co/datasets/Rowan/hellaswag).
The Icelandic (is) part was translated with [Miðeind](https://mideind.is/english.html)'s Greynir model and Norwegian (nb) was translated with [DeepL](htt... | alexandrainst/m_hellaswag | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"size_categories:10K<n<100K",
"language:ar",
"language:bn",
"language:ca",
"language:da",
"language:de",
"language:es",
"language:eu",
"language:fr",
"language:gu",
"language:hi",
"language:hr",
"language:hu",
"langua... | 2023-12-27T20:55:26+00:00 | {"language": ["ar", "bn", "ca", "da", "de", "es", "eu", "fr", "gu", "hi", "hr", "hu", "hy", "id", "it", "kn", "ml", "mr", "ne", "nl", "pt", "ro", "ru", "sk", "sr", "sv", "ta", "te", "uk", "vi", "zh", "is", "en", "no", "nb"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-ans... | 2024-02-12T16:32:54+00:00 | [] | [
"ar",
"bn",
"ca",
"da",
"de",
"es",
"eu",
"fr",
"gu",
"hi",
"hr",
"hu",
"hy",
"id",
"it",
"kn",
"ml",
"mr",
"ne",
"nl",
"pt",
"ro",
"ru",
"sk",
"sr",
"sv",
"ta",
"te",
"uk",
"vi",
"zh",
"is",
"en",
"no",
"nb"
] | TAGS
#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-Hungarian #language... | # Multilingual HellaSwag
## Dataset Summary
This dataset is a machine translated version of the HellaSwag dataset.
The Icelandic (is) part was translated with Miðeind's Greynir model and Norwegian (nb) was translated with DeepL. The rest of the languages was translated using GPT-3.5-turbo by the University of Oregon, ... | [
"# Multilingual HellaSwag",
"## Dataset Summary\nThis dataset is a machine translated version of the HellaSwag dataset.\n\nThe Icelandic (is) part was translated with Miðeind's Greynir model and Norwegian (nb) was translated with DeepL. The rest of the languages was translated using GPT-3.5-turbo by the Universit... | [
"TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-Hungarian #la... | [
251,
8,
104
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-Hung... |
a368e903d97d76aa9b3bf81f3f32344379ab29af |
# Dataset of Quetzalcoatl
This is the dataset of Quetzalcoatl, containing 154 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
... | CyberHarem/quetzalcoatl_kobayashisanchinomaidragon | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-27T20:56:09+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-27T20:57:07+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Quetzalcoatl
=======================
This is the dataset of Quetzalcoatl, containing 154 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
c343b0e0a73391b5c78d87aa409f60e77b1ba0fc | # Multilingual MMLU
## Dataset Summary
This dataset is a machine translated version of the [MMLU dataset](https://huggingface.co/datasets/cais/mmlu).
The Icelandic (is) part was translated with [Miðeind](https://mideind.is/english.html)'s Greynir model and Norwegian (nb) was translated with [DeepL](https://deepl.com/... | alexandrainst/m_mmlu | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"size_categories:10K<n<100K",
"language:ar",
"language:bn",
"language:ca",
"language:da",
"language:de",
"language:en",
"language:es",
"language:eu",
"language:fr",
"language:gu",
"language:hi",
"language:hr",
"langua... | 2023-12-27T20:56:17+00:00 | {"language": ["ar", "bn", "ca", "da", "de", "en", "es", "eu", "fr", "gu", "hi", "hr", "hu", "hy", "id", "is", "it", "kn", "ml", "mr", "nb", "no", "ne", "nl", "pt", "ro", "ru", "sk", "sr", "sv", "ta", "te", "uk", "vi", "zh"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-ans... | 2024-02-12T16:30:24+00:00 | [] | [
"ar",
"bn",
"ca",
"da",
"de",
"en",
"es",
"eu",
"fr",
"gu",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"kn",
"ml",
"mr",
"nb",
"no",
"ne",
"nl",
"pt",
"ro",
"ru",
"sk",
"sr",
"sv",
"ta",
"te",
"uk",
"vi",
"zh"
] | TAGS
#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-English #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-H... | # Multilingual MMLU
## Dataset Summary
This dataset is a machine translated version of the MMLU dataset.
The Icelandic (is) part was translated with Miðeind's Greynir model and Norwegian (nb) was translated with DeepL. The rest of the languages was translated using GPT-3.5-turbo by the University of Oregon, and this ... | [
"# Multilingual MMLU",
"## Dataset Summary\nThis dataset is a machine translated version of the MMLU dataset. \n\nThe Icelandic (is) part was translated with Miðeind's Greynir model and Norwegian (nb) was translated with DeepL. The rest of the languages was translated using GPT-3.5-turbo by the University of Oreg... | [
"TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-English #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #lang... | [
251,
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102
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"passage: TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-English #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croat... |
f0445d470f1925882b990f5f247fdcf288972f60 | # Multilingual TruthfulQA
## Dataset Summary
This dataset is a machine translated version of the [TruthfulQA dataset](https://huggingface.co/datasets/truthful_qa), translated using GPT-3.5-turbo. This dataset was created by the University of Oregon, and was originally uploaded to [this Github repository](https://github... | alexandrainst/m_truthfulqa | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"size_categories:10K<n<100K",
"language:ar",
"language:bn",
"language:ca",
"language:da",
"language:de",
"language:es",
"language:eu",
"language:fr",
"language:gu",
"language:hi",
"language:hr",
"language:hu",
"langua... | 2023-12-27T20:56:57+00:00 | {"language": ["ar", "bn", "ca", "da", "de", "es", "eu", "fr", "gu", "hi", "hr", "hu", "hy", "id", "it", "kn", "ml", "mr", "ne", "nl", "pt", "ro", "ru", "sk", "sr", "sv", "ta", "te", "uk", "vi", "zh"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "task_ids": ["... | 2023-12-27T20:56:58+00:00 | [] | [
"ar",
"bn",
"ca",
"da",
"de",
"es",
"eu",
"fr",
"gu",
"hi",
"hr",
"hu",
"hy",
"id",
"it",
"kn",
"ml",
"mr",
"ne",
"nl",
"pt",
"ro",
"ru",
"sk",
"sr",
"sv",
"ta",
"te",
"uk",
"vi",
"zh"
] | TAGS
#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-Hungarian #language... | # Multilingual TruthfulQA
## Dataset Summary
This dataset is a machine translated version of the TruthfulQA dataset, translated using GPT-3.5-turbo. This dataset was created by the University of Oregon, and was originally uploaded to this Github repository.
If you use this dataset in your work, please cite the followi... | [
"# Multilingual TruthfulQA",
"## Dataset Summary\nThis dataset is a machine translated version of the TruthfulQA dataset, translated using GPT-3.5-turbo. This dataset was created by the University of Oregon, and was originally uploaded to this Github repository.\n\nIf you use this dataset in your work, please cit... | [
"TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-Hungarian #la... | [
226,
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"passage: TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #size_categories-10K<n<100K #language-Arabic #language-Bengali #language-Catalan #language-Danish #language-German #language-Spanish #language-Basque #language-French #language-Gujarati #language-Hindi #language-Croatian #language-Hung... |
492b908dcc7ea201b64cb24b2d839db08385fa1c | # Spanish Wiktionary
## Motivation
Multilingual datasets based in Wikimedia Foundation's Wiktionary tend to use its translation system to fetch non English words, what causes a lot of words and definitions being discarded.
## Development
In order to solve this, I wrote a [custom parser](https://github.com/elcapo/es... | carloscapote/es.wiktionary.org | [
"size_categories:100K<n<1M",
"language:es",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-12-27T21:07:43+00:00 | {"language": ["es"], "license": "cc-by-sa-4.0", "size_categories": ["100K<n<1M"], "pretty_name": "Spanish Wiktionary"} | 2023-12-28T23:15:19+00:00 | [] | [
"es"
] | TAGS
#size_categories-100K<n<1M #language-Spanish #license-cc-by-sa-4.0 #region-us
| # Spanish Wiktionary
## Motivation
Multilingual datasets based in Wikimedia Foundation's Wiktionary tend to use its translation system to fetch non English words, what causes a lot of words and definitions being discarded.
## Development
In order to solve this, I wrote a custom parser that obtains the definitions s... | [
"# Spanish Wiktionary",
"## Motivation\n\nMultilingual datasets based in Wikimedia Foundation's Wiktionary tend to use its translation system to fetch non English words, what causes a lot of words and definitions being discarded.",
"## Development\n\nIn order to solve this, I wrote a custom parser that obtains ... | [
"TAGS\n#size_categories-100K<n<1M #language-Spanish #license-cc-by-sa-4.0 #region-us \n",
"# Spanish Wiktionary",
"## Motivation\n\nMultilingual datasets based in Wikimedia Foundation's Wiktionary tend to use its translation system to fetch non English words, what causes a lot of words and definitions being dis... | [
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"passage: TAGS\n#size_categories-100K<n<1M #language-Spanish #license-cc-by-sa-4.0 #region-us \n# Spanish Wiktionary## Motivation\n\nMultilingual datasets based in Wikimedia Foundation's Wiktionary tend to use its translation system to fetch non English words, what causes a lot of words and definitions being discar... |
89b8888a6a7f412c442d2983c56690a8aa6d1b6b |
# Dataset of Elma
This is the dataset of Elma, containing 233 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
| Name ... | CyberHarem/elma_kobayashisanchinomaidragon | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-27T21:19:09+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-27T21:21:17+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Elma
===============
This is the dataset of Elma, containing 233 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
bc7cb1d14dd3b877c6f98649208673e23fb02c68 |
# Dataset of Riko Saikawa
This is the dataset of Riko Saikawa, containing 169 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
... | CyberHarem/riko_saikawa_kobayashisanchinomaidragon | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-27T21:35:29+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-27T21:36:47+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Riko Saikawa
=======================
This is the dataset of Riko Saikawa, containing 169 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
88db6730d3b2fca7e8ccbf4ffc1f89c2dd277518 |
# Dataset of Shouta Magatsuchi
This is the dataset of Shouta Magatsuchi, containing 132 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/d... | CyberHarem/shouta_magatsuchi_kobayashisanchinomaidragon | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-27T21:46:47+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-27T21:47:46+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Shouta Magatsuchi
============================
This is the dataset of Shouta Magatsuchi, containing 132 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
cba4983c693c0e28c0db4d37b18355ea857e10a4 | This dataset was the used in the paper https://arxiv.org/abs/2311.11331
---
license: apache-2.0
--- | paulofinardi/FAQ_BACEN | [
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| This dataset was the used in the paper URL
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df020b19cc21e27bf2e0bca1544c34f4b1be9792 |
# Albania-Parliament-Transcriptions
[](https://colab.research.google.com/github/KushtrimVisoka/Albania-Parliament-Transcriptions/blob/main/Albania_Parliament_Transcriptions.ipynb)
The dataset comprises transcripts of speeches delivered by memb... | Kushtrim/Albania-Parliament-Transcriptions | [
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# Albania-Parliament-Transcriptions
![Open In Colab](URL
The dataset comprises transcripts of speeches delivered by members of the Albanian Assembly during parliamentary sessions spanning from 2013. The goal of this repository is to provide a valuable resource for researchers and professionals interested in natural ... | [
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b7671d86b4819ab52f89fec3971f646092ee9250 |
This dataset was used in the article: https://arxiv.org/abs/2311.11331 | Itau-Unibanco/FAQ_BACEN | [
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3577a939eb90c063c3f1aa0efa3c41737a99b07d |
# 2WikiMultihopQA Dataset with GPT-3.5 Generated Questions
## Overview
This repository hosts an enhanced version of the 2WikiMultihopQA dataset, where each supporting sentence in the dataset has been supplemented with questions generated using OpenAI's GPT-3.5 turbo API. The aim is to provide a richer context for ea... | scholarly-shadows-syndicate/2wikimultihopqa_with_q_gpt35 | [
"license:apache-2.0",
"region:us"
] | 2023-12-27T23:12:32+00:00 | {"license": "apache-2.0"} | 2024-01-14T23:42:54+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# 2WikiMultihopQA Dataset with GPT-3.5 Generated Questions
## Overview
This repository hosts an enhanced version of the 2WikiMultihopQA dataset, where each supporting sentence in the dataset has been supplemented with questions generated using OpenAI's GPT-3.5 turbo API. The aim is to provide a richer context for ea... | [
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0f78e815bf4ba9ca0addf3484ee195d526c506a4 |
# Massive Korean synthetic dataset
This dataset is a large-scale Korean artificial data set created using Gemini Pro.
It was created using the methodology described in *Creation of synthetic textbook-quality datasets* in [Textbooks Are All You Need](https://arxiv.org/abs/2306.11644).
## Data overview
**A subset of ... | maywell/korean_textbooks | [
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"license:apache-2.0",
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| Massive Korean synthetic dataset
================================
This dataset is a large-scale Korean artificial data set created using Gemini Pro.
It was created using the methodology described in *Creation of synthetic textbook-quality datasets* in Textbooks Are All You Need.
Data overview
-------------
A subs... | [] | [
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fea5d885b288d5100c7e30f1ea98bc7eb6f00641 |
This is a fork from https://huggingface.co/datasets/substratusai/k8s-instructions | sozercan/k8s-instructions | [
"license:apache-2.0",
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417ca1c9ab629b1a19699d62e1874cd78177f5f8 |
### Dataset Description: College and University Financial Audits and Text Dataset
#### **Overview**
The College and University Financial Audits and Text Dataset is a dataset that combines audited financial statement texts with key extracted financial data from various colleges and universities. This dataset stands o... | PDScience/CollegeAuditData | [
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"finance",
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] | 2023-12-27T23:45:36+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["question-answering", "feature-extraction", "text-generation"], "pretty_name": "College Audit Data", "tags": ["finance"]} | 2024-01-01T02:09:22+00:00 | [] | [
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### Dataset Description: College and University Financial Audits and Text Dataset
#### Overview
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35f15f9fe2abd7b5a596d2116919c1c02c3f4abf |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... | Omega02gdfdd/bioclip-demo-open-domain-mistakes | [
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<!-- Provide a longer summary of what this dataset is. -->
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54918560ec8b78f601f3df0e779a5d1270e71fbe | # Dataset Description
- **Curated by:** Zhang Xin from Beihang University (BUAA). The dataset was created using an AI tool to generate summaries of Wikipedia articles, aiming to support NLP research and applications, especially in the context of language processing.
- **Funded by:** The creation of this dataset was i... | xinzhang/wikipedia_summary | [
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820a0a83a5a78bd2b07689b769343dbdd059f4ca | # Dataset Card for "Subject-Driven-image-Generation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TIGER-Lab/Subject-Driven-image-Generation | [
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## Symbol-LLM: Towards Foundational Symbol-centric Interface for Large Language Models
Paper Link: https://arxiv.org/abs/2311.09278
Project Page: https://xufangzhi.github.io/symbol-llm-page/
## 🔥 News
- 🔥🔥🔥 We have made a part of the Symbolic Collection public, including ~88K samples for training (10% of th... | Symbol-LLM/Symbolic_Collection | [
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8a9f31b5c30de79eb8c78d8aa3818028e6292f82 |
# MS MARCO Distillation Scores for Translate-Distill
This repository contains [MS MARCO](https://microsoft.github.io/msmarco/) training
query-passage scores produced by MonoT5 reranker
[`unicamp-dl/mt5-13b-mmarco-100k`](https://huggingface.co/unicamp-dl/mt5-13b-mmarco-100k) and
[`castorini/monot5-3b-msmarco-10k`](h... | hltcoe/tdist-msmarco-scores | [
"license:mit",
"arxiv:2112.01488",
"arxiv:2401.04810",
"region:us"
] | 2023-12-28T03:45:07+00:00 | {"license": "mit"} | 2024-01-11T02:24:48+00:00 | [
"2112.01488",
"2401.04810"
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# MS MARCO Distillation Scores for Translate-Distill
This repository contains MS MARCO training
query-passage scores produced by MonoT5 reranker
'unicamp-dl/mt5-13b-mmarco-100k' and
'castorini/monot5-3b-msmarco-10k'.
Each training query is associated with the top-50 passages retrieved by the ColBERTv2 model.
Fi... | [
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2bbadabaab458c317bba1d535a68e5c191056e3a |
CogBench is the benchmark introduced in CogGPT ([GitHub](https://github.com/KwaiKEG/CogGPT)), a series of agent-related works open-sourced by [KwaiKEG](https://github.com/KwaiKEG) from [Kuaishou Technology](https://www.kuaishou.com/en). It consists of 22,000 pieces of bilingual data designed to evaluate the cognitive ... | kwaikeg/CogBench | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:zh",
"language:en",
"license:cc-by-nc-sa-4.0",
"arxiv:2401.08438",
"region:us"
] | 2023-12-28T03:52:55+00:00 | {"language": ["zh", "en"], "license": "cc-by-nc-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"]} | 2024-01-26T03:05:28+00:00 | [
"2401.08438"
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#task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #language-English #license-cc-by-nc-sa-4.0 #arxiv-2401.08438 #region-us
| CogBench is the benchmark introduced in CogGPT (GitHub), a series of agent-related works open-sourced by KwaiKEG from Kuaishou Technology. It consists of 22,000 pieces of bilingual data designed to evaluate the cognitive dynamics of LLMs. CogBench is divided into two parts based on the type of information flow: CogBenc... | [] | [
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] |
d4c9b443ed6e8563bfb1126c4e8dc8a3be9327a6 | # Dataset Card for "Subject_Driven_Image_Editing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TIGER-Lab/Subject_Driven_Image_Editing | [
"region:us"
] | 2023-12-28T04:06:44+00:00 | {"dataset_info": {"features": [{"name": "uid", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "subject", "dtype": "string"}, {"name": "subject_image_0", "dtype": "image"}, {"name": "subject_image_1", "dtype": "image"}, {"name": "subject_image_2", "dtype": "image"}], "splits": [{"name": "eval", "num_by... | 2023-12-28T04:19:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Subject_Driven_Image_Editing"
More Information needed | [
"# Dataset Card for \"Subject_Driven_Image_Editing\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Subject_Driven_Image_Editing\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Subject_Driven_Image_Editing\"\n\nMore Information needed"
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fb9c3c239c5d61bec25157d3bbdcec16fddf04f0 | # Dataset Card for "Subject_Driven_Image_Generation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TIGER-Lab/Subject_Driven_Image_Generation | [
"region:us"
] | 2023-12-28T04:07:17+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "uid", "dtype": "int64"}, {"name": "subject_id", "dtype": "int64"}, {"name": "subject_image_0", "dtype": "image"}, {"name": "subject_image_1", "dtype": "image"}, {"name": "subject_image_2", "dtype": "i... | 2023-12-28T04:08:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Subject_Driven_Image_Generation"
More Information needed | [
"# Dataset Card for \"Subject_Driven_Image_Generation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Subject_Driven_Image_Generation\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Subject_Driven_Image_Generation\"\n\nMore Information needed"
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ae81ca424d6a776b20cd471278478ba661de0d23 |
# vogue-runway-top15-512px
[Vogue Runway](https://www.vogue.com/fashion-shows)
- 15 fashion houses
- 1679 collections
- 87,547 images
Fashion Houses: Alexander McQueen, Armani, Balenciaga, Calvin Klein, Chanel, Dior, Fendi, Gucci, Hermes, Louis Vuitton, Prada, Ralph Lauren, Saint Laurent, Valentino, Versace.
Imag... | tonyassi/vogue-runway-top15-512px | [
"region:us"
] | 2023-12-28T05:46:29+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "alexander mcqueen,fall 1996 ready to wear", "1": "alexander mcqueen,fall 1997 ready to wear", "2": "alexander mcqueen,fall 1998 ready to wear", "3": "alexander mcqueen,fall 1999 ready to wear"... | 2023-12-28T18:52:15+00:00 | [] | [] | TAGS
#region-us
|
# vogue-runway-top15-512px
Vogue Runway
- 15 fashion houses
- 1679 collections
- 87,547 images
Fashion Houses: Alexander McQueen, Armani, Balenciaga, Calvin Klein, Chanel, Dior, Fendi, Gucci, Hermes, Louis Vuitton, Prada, Ralph Lauren, Saint Laurent, Valentino, Versace.
Images are maximum height 512 pixels.
!ima... | [
"# vogue-runway-top15-512px\n\n Vogue Runway\n- 15 fashion houses\n- 1679 collections\n- 87,547 images\n\nFashion Houses: Alexander McQueen, Armani, Balenciaga, Calvin Klein, Chanel, Dior, Fendi, Gucci, Hermes, Louis Vuitton, Prada, Ralph Lauren, Saint Laurent, Valentino, Versace.\n\nImages are maximum height 512 p... | [
"TAGS\n#region-us \n",
"# vogue-runway-top15-512px\n\n Vogue Runway\n- 15 fashion houses\n- 1679 collections\n- 87,547 images\n\nFashion Houses: Alexander McQueen, Armani, Balenciaga, Calvin Klein, Chanel, Dior, Fendi, Gucci, Hermes, Louis Vuitton, Prada, Ralph Lauren, Saint Laurent, Valentino, Versace.\n\nImages... | [
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"passage: TAGS\n#region-us \n# vogue-runway-top15-512px\n\n Vogue Runway\n- 15 fashion houses\n- 1679 collections\n- 87,547 images\n\nFashion Houses: Alexander McQueen, Armani, Balenciaga, Calvin Klein, Chanel, Dior, Fendi, Gucci, Hermes, Louis Vuitton, Prada, Ralph Lauren, Saint Laurent, Valentino, Versace.\n\nIma... |
e994c5d888a7d429b6d94ea9d50a4da5868711be | # Dataset Card for "autotrain-data-Liquid"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tschlarman/autotrain-data-Liquid | [
"region:us"
] | 2023-12-28T05:53:37+00:00 | {"dataset_info": {"features": [{"name": "autotrain_text", "dtype": "string"}, {"name": "autotrain_label", "dtype": {"class_label": {"names": {"0": 0, "1": 1}}}}], "splits": [{"name": "train", "num_bytes": 45906401, "num_examples": 140539}, {"name": "validation", "num_bytes": 11595942, "num_examples": 35135}], "download... | 2023-12-28T05:55:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-Liquid"
More Information needed | [
"# Dataset Card for \"autotrain-data-Liquid\"\n\nMore Information needed"
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4418dffa3acdb1e1ce8cf8f465bddde2513a80f0 | - test purpose | bartmao/test_dataset | [
"region:us"
] | 2023-12-28T05:56:03+00:00 | {} | 2023-12-28T05:57:13+00:00 | [] | [] | TAGS
#region-us
| - test purpose | [] | [
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58bdbe850e81d5cc791bd787d4fbe753d8b963fc | # Dataset Card for "opencpop_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/opencpop_synth | [
"region:us"
] | 2023-12-28T05:58:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec... | 2023-12-28T06:16:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "opencpop_synth"
More Information needed | [
"# Dataset Card for \"opencpop_synth\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"opencpop_synth\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"opencpop_synth\"\n\nMore Information needed"
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c2d90f9bb9da7b9c7ab858085da9ca44fee7bd39 |
# Dataset Card for "hellaswag"
## 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... | ycsong-eugene/syc-hellaswag2 | [
"language:en",
"arxiv:1905.07830",
"region:us"
] | 2023-12-28T06:27:42+00:00 | {"language": ["en"], "paperswithcode_id": "hellaswag", "pretty_name": "HellaSwag", "dataset_info": {"features": [{"name": "ind", "dtype": "int32"}, {"name": "activity_label", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_b", "dtype": "string"}, {"name": "ctx", "dtype": "string"}, {"name": "end... | 2023-12-28T08:29:13+00:00 | [
"1905.07830"
] | [
"en"
] | TAGS
#language-English #arxiv-1905.07830 #region-us
| Dataset Card for "hellaswag"
============================
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
+ Annot... | [
"### Dataset Summary\n\n\nHellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nDataset Structure\n-----------------",
"### Data Instances",
"#### default\n\n\n* Size of down... | [
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04040350bceb85dff48cda7ec457c329d0680edc | This is a recreation of the [tulu-v2-sft-mixture](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture), **without** splitting ShareGPT dataset into chunks of max 4096 tokens. This might be interesting to people who are doing long-context finetuning.
Please refer to the original tulu-v2-sft-mixture for the deta... | allenai/tulu-v2-sft-long-mixture | [
"task_categories:text-generation",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:odc-by",
"region:us"
] | 2023-12-28T07:01:05+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "question-answering"]} | 2023-12-28T07:34:16+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-odc-by #region-us
| This is a recreation of the tulu-v2-sft-mixture, without splitting ShareGPT dataset into chunks of max 4096 tokens. This might be interesting to people who are doing long-context finetuning.
Please refer to the original tulu-v2-sft-mixture for the details of this dataset mixture.
### License
We are releasing this dat... | [
"### License\nWe are releasing this dataset under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset."
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ffdd68250bb7f54384d769c0e00801969ba5bb83 | # Dataset Card for "code_t5_plus_fine_tuning_complete_dataset_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hemantk089/code_t5_plus_fine_tuning_complete_dataset_v2 | [
"region:us"
] | 2023-12-28T07:19:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1018984, "num_examples": 2433}, {"name": "test", "num_bytes": 2462... | 2023-12-28T07:19:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code_t5_plus_fine_tuning_complete_dataset_v2"
More Information needed | [
"# Dataset Card for \"code_t5_plus_fine_tuning_complete_dataset_v2\"\n\nMore Information needed"
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1e3bb2f99d64d8df2f8edfd47ac388458c27cbc0 | # Dataset Card for "llama2_7b_fine_tuning_all_tasks_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hemantk089/llama2_7b_fine_tuning_all_tasks_v1 | [
"region:us"
] | 2023-12-28T07:23:17+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1018984, "num_examples": 2433}, {"name": "test", "num_bytes": 2462... | 2023-12-28T07:23:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "llama2_7b_fine_tuning_all_tasks_v1"
More Information needed | [
"# Dataset Card for \"llama2_7b_fine_tuning_all_tasks_v1\"\n\nMore Information needed"
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6cdb0e46a11f7879097fe135b8fc052ac7d2840b |
This dataset is a sample used to learn how to share dataset to the Hub. | lijianbin/test_script | [
"task_categories:text-classification",
"region:us"
] | 2023-12-28T07:30:42+00:00 | {"task_categories": ["text-classification"]} | 2023-12-29T08:42:01+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
|
This dataset is a sample used to learn how to share dataset to the Hub. | [] | [
"TAGS\n#task_categories-text-classification #region-us \n"
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3611d35c928bbcccade0bc02482fb6fd4e3f00af |
# Dataset Card for Evaluation run of xaviviro/FLAMA-0.1-3B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [xaviviro/FLAMA-0.1-3B](https://huggingface.co/xaviviro/FLAMA-0.1-3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/... | open-llm-leaderboard/details_xaviviro__FLAMA-0.1-3B | [
"region:us"
] | 2023-12-28T08:00:57+00:00 | {"pretty_name": "Evaluation run of xaviviro/FLAMA-0.1-3B", "dataset_summary": "Dataset automatically created during the evaluation run of model [xaviviro/FLAMA-0.1-3B](https://huggingface.co/xaviviro/FLAMA-0.1-3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe da... | 2023-12-28T08:01:19+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of xaviviro/FLAMA-0.1-3B
Dataset automatically created during the evaluation run of model xaviviro/FLAMA-0.1-3B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s)... | [
"# Dataset Card for Evaluation run of xaviviro/FLAMA-0.1-3B\n\n\n\nDataset automatically created during the evaluation run of model xaviviro/FLAMA-0.1-3B 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 f... | [
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4f189fc1ea10878f8b673b62c43905a963700b8a | # Dataset Card for "finetune_mistral_7b_bs_prediction"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | johnchen1/finetune_mistral_7b_bs_prediction | [
"region:us"
] | 2023-12-28T08:06:50+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3299961, "num_examples": 1478}], "download_size": 1270466, "dataset_size": 3299961}} | 2023-12-28T08:06:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "finetune_mistral_7b_bs_prediction"
More Information needed | [
"# Dataset Card for \"finetune_mistral_7b_bs_prediction\"\n\nMore Information needed"
] | [
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17f4c191afdf455569ab96f63ecae2d5d1a7181e | # Dataset Card for "TRAIN_mistral_7b_bs_prediction"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | johnchen1/TRAIN_mistral_7b_bs_prediction | [
"region:us"
] | 2023-12-28T08:09:27+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3299961, "num_examples": 1478}], "download_size": 0, "dataset_size": 3299961}} | 2023-12-28T08:12:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TRAIN_mistral_7b_bs_prediction"
More Information needed | [
"# Dataset Card for \"TRAIN_mistral_7b_bs_prediction\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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f78c5295902862747c902c28662226f023e06c38 |
<br>
**🔥Update**:
- [2023/01/06] We release the commercial-use version of MathPile, namely [MathPile_Commercial](https://huggingface.co/datasets/GAIR/MathPile_Commercial).
- [2023/01/06] We release the new version (v0.2, cleaner version) of MathPile. It has been updated to the `main` branch (also the `v0.2` branch... | GAIR/MathPile | [
"size_categories:1B<n<10B",
"language:en",
"license:cc-by-nc-sa-4.0",
"arxiv:2312.17120",
"region:us"
] | 2023-12-28T08:17:59+00:00 | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "size_categories": ["1B<n<10B"], "extra_gated_prompt": "By using this data, you agree to comply with the original usage licenses of all sources contributing to MathPile. If the source data of this dataset is subject to a more restrictive license than CC BY-NC-SA 4.0, t... | 2024-02-13T03:38:51+00:00 | [
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#size_categories-1B<n<10B #language-English #license-cc-by-nc-sa-4.0 #arxiv-2312.17120 #region-us
|
<br>
Update:
- [2023/01/06] We release the commercial-use version of MathPile, namely MathPile_Commercial.
- [2023/01/06] We release the new version (v0.2, cleaner version) of MathPile. It has been updated to the 'main' branch (also the 'v0.2' branch). The main updates are as follows:
- fixed a problem with the d... | [
"# Dataset Card for Dataset Name\n\n\n\n\n\n\nWe introduce MathPile a diverse and high-quality math-centric corpus comprising about 9.5 billion tokens. our work is significantly different from the previous work in the following characteristics:\n\n\n\n<div align=\"center\">\n<img src=\"./imgs/URL\" width=45%/>\n</d... | [
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80083c8c36e17b1acf34a7ff48db64eedced5ff4 | # Dataset Card for "ldjnr_capybara_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/ldjnr_capybara_binarized | [
"region:us"
] | 2023-12-28T08:28:01+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-28T08:28:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ldjnr_capybara_binarized"
More Information needed | [
"# Dataset Card for \"ldjnr_capybara_binarized\"\n\nMore Information needed"
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43e5e501929ca311d1b92b88b16d2425a4b3ffb7 | # Dataset Card for "another_dummy_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | diamond0/another_dummy_dataset | [
"region:us"
] | 2023-12-28T09:17:08+00:00 | {"dataset_info": {"features": [{"name": "html_url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "comments", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "comment_length", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "embeddings", "sequence": "float32"}], "... | 2023-12-28T09:17:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "another_dummy_dataset"
More Information needed | [
"# Dataset Card for \"another_dummy_dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"another_dummy_dataset\"\n\nMore Information needed"
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4b84286eb893fb66217a23f4b381dc949d3f1648 | # Dataset Card for "p2d_raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/p2d_raw | [
"region:us"
] | 2023-12-28T09:24:36+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "tex... | 2023-12-28T09:24:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "p2d_raw"
More Information needed | [
"# Dataset Card for \"p2d_raw\"\n\nMore Information needed"
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aaa2d4c9a7a13bed414308f0cae5b039cf1278f8 |
# Dataset Card for Evaluation run of xDAN-AI/xDAN-L1-Chat-RL-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [xDAN-AI/xDAN-L1-Chat-RL-v1](https://huggingface.co/xDAN-AI/xDAN-L1-Chat-RL-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_xDAN-AI__xDAN-L1-Chat-RL-v1 | [
"region:us"
] | 2023-12-28T09:32:43+00:00 | {"pretty_name": "Evaluation run of xDAN-AI/xDAN-L1-Chat-RL-v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [xDAN-AI/xDAN-L1-Chat-RL-v1](https://huggingface.co/xDAN-AI/xDAN-L1-Chat-RL-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-12-28T09:33:05+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of xDAN-AI/xDAN-L1-Chat-RL-v1
Dataset automatically created during the evaluation run of model xDAN-AI/xDAN-L1-Chat-RL-v1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created fro... | [
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02401f2c9438a740884240b9c9ceffaa3e0856f7 | amphora/finqa_suite | [
"license:mit",
"region:us"
] | 2023-12-28T09:35:02+00:00 | {"license": "mit", "configs": [{"config_name": "mmlu_professional_accounting", "data_files": [{"split": "test", "path": "data/mmlu_pa_test.csv"}, {"split": "dev", "path": "data/mmlu_professional_accounting_dev.csv"}]}, {"config_name": "mmlu_high_school_microeconomics", "data_files": [{"split": "test", "path": "data/mml... | 2024-01-15T08:07:22+00:00 | [] | [] | TAGS
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59a19c99b1fe099cc5621968e760605a1d3ac8e0 | # Dataset Card for "CVE_explain_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nganlt/CVE_explain_dataset | [
"region:us"
] | 2023-12-28T09:41:42+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 47186572, "num_examples": 44988}], "download_size": 11209470, "dataset_size": 47186572}} | 2023-12-28T09:43:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CVE_explain_dataset"
More Information needed | [
"# Dataset Card for \"CVE_explain_dataset\"\n\nMore Information needed"
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405cdae456f56fe527eefc8be2630ac6db48093d |
# Text embedding Datasets
The text embedding datasets consist of several (query, passage) paired datasets aiming for text-embedding model finetuning. These datasets are ideal for developing and testing algorithms in the fields of natural language processing, information retrieval, and similar applications.
## Datase... | ProfessorBob/text-embedding-dataset | [
"region:us"
] | 2023-12-28T10:23:48+00:00 | {"dataset_info": [{"config_name": "Documents", "features": [{"name": "doc_id", "dtype": "string"}, {"name": "doc", "dtype": "string"}], "splits": [{"name": "history", "num_bytes": 508218, "num_examples": 224}, {"name": "religion", "num_bytes": 302837, "num_examples": 126}, {"name": "recherche", "num_bytes": 235256, "nu... | 2024-01-02T14:42:35+00:00 | [] | [] | TAGS
#region-us
| Text embedding Datasets
=======================
The text embedding datasets consist of several (query, passage) paired datasets aiming for text-embedding model finetuning. These datasets are ideal for developing and testing algorithms in the fields of natural language processing, information retrieval, and similar ap... | [
"### [MOOC MCQ Queries]\n\n\nThe \"MOOC MCQ Queries\" dataset is derived from FUN MOOC, an online platform offering a wide range of French courses across various domains. This dataset is uniquely valuable for its high-quality content, manually curated to assist students in understanding course materials better.",
... | [
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1614b57a677c4f21d87a95ca8b38f3bde8cb8b60 | # Marvel Characters Dataset
This dataset includes a compilation of various Marvel characters, their first appearances in films or TV shows, and the actors who portrayed them.
## Contents
- [Overview](#overview)
- [Dataset Details](#dataset-details)
- [Usage](#usage)
- [License](#license)
## Overview
This dataset c... | Manvith/Marvel_dataset | [
"region:us"
] | 2023-12-28T10:24:22+00:00 | {} | 2023-12-30T11:30:31+00:00 | [] | [] | TAGS
#region-us
| # Marvel Characters Dataset
This dataset includes a compilation of various Marvel characters, their first appearances in films or TV shows, and the actors who portrayed them.
## Contents
- Overview
- Dataset Details
- Usage
- License
## Overview
This dataset contains information about a wide range of Marvel charac... | [
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c6d497b96a2bb4b4dcd38587e3b2cc3272f8e82b |
# Dataset Card for Evaluation run of Azure99/blossom-v4-mistral-7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Azure99/blossom-v4-mistral-7b](https://huggingface.co/Azure99/blossom-v4-mistral-7b) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_Azure99__blossom-v4-mistral-7b | [
"region:us"
] | 2023-12-28T11:12:37+00:00 | {"pretty_name": "Evaluation run of Azure99/blossom-v4-mistral-7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [Azure99/blossom-v4-mistral-7b](https://huggingface.co/Azure99/blossom-v4-mistral-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2023-12-28T11:12:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Azure99/blossom-v4-mistral-7b
Dataset automatically created during the evaluation run of model Azure99/blossom-v4-mistral-7b on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been creat... | [
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7db955b5e6625bd803523667aca26f01fac10154 |
# Amazon ESCI hard-negatives dataset
A dataset in a [nixietune](https://github.com/nixiesearch/nixietune) compatible format:
```json
{
{
"query": "# cellist thats not a hashtag",
"pos": [
"Funny Cellists That's Not A Hashtag Music Sweatshirt",
"Marvel Deadpool Crunch Cereal Comics Funny Adult Men’s Graph... | nixiesearch/amazon-esci-hardnegatives | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"source_datasets:Amazon ESCI",
"language:en",
"license:apache-2.0",
"text",
"region:us"
] | 2023-12-28T11:28:29+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": ["Amazon ESCI"], "task_categories": ["sentence-similarity"], "pretty_name": "Amazon ESCI Hard Negatives", "tags": ["text"], "dataset_info": {"config_name": "default", "features": [{"name": "query", "dtype": "string"}, {"n... | 2023-12-29T13:39:04+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #size_categories-100K<n<1M #source_datasets-Amazon ESCI #language-English #license-apache-2.0 #text #region-us
|
# Amazon ESCI hard-negatives dataset
A dataset in a nixietune compatible format:
This is the expanded version of the Amazon ESCI small-en dataset with the following additions:
* for all queries, extra 32 negatives were genererated
* negative generation was done with a RRF-based hybrid search, mixing the BM25 score... | [
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4276288f6967365f9db55b497860d810b1f49ee3 | # Dataset Card for "nitro_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/nitro_binarized | [
"region:us"
] | 2023-12-28T12:23:45+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-28T12:23:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nitro_binarized"
More Information needed | [
"# Dataset Card for \"nitro_binarized\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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27e3dca147ccb297b595495bc274fef523f120c2 | # Dataset Card for "both_raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/both_raw | [
"region:us"
] | 2023-12-28T12:35:00+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "tex... | 2023-12-28T12:35:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "both_raw"
More Information needed | [
"# Dataset Card for \"both_raw\"\n\nMore Information needed"
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ce2b702592d9757ed110d9725cb2f59fd2466e41 |
Creates a pages dataset using Wikipedia.
Explores the 40 root categories and their sub-categories to collect pages. The produced dataset provides up to 2000 pages per category.
See https://github.com/tarekziade/mwcat
| tarekziade/wikipedia-topics | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-12-28T12:44:29+00:00 | {"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "title", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "categories", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 447696713.49705654, "num... | 2024-01-03T22:33:04+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
Creates a pages dataset using Wikipedia.
Explores the 40 root categories and their sub-categories to collect pages. The produced dataset provides up to 2000 pages per category.
See URL
| [] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n"
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17
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dd912e7ffe0bf26c8b7e19565a7a683039c5c7bf |
# Portuguese Hate Speech Expanded Dataset (TuPyE)
TuPyE, an enhanced iteration of TuPy, encompasses a compilation of 43,668 meticulously annotated documents specifically
selected for the purpose of hate speech detection within diverse social network contexts.
This augmented dataset integrates supplementary annotatio... | Silly-Machine/TuPyE-Dataset | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
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"language:pt",
"license:cc-by-4.0",
"hate-speech-detection",
"arxiv:2010.04543",
"arxiv:2103.... | 2023-12-28T12:46:12+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["pt"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["crowdsourced"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "TuPy-Datas... | 2024-01-01T14:47:42+00:00 | [
"2010.04543",
"2103.14972",
"2312.17704"
] | [
"pt"
] | TAGS
#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-crowdsourced #language-Portuguese #license-cc-by-4.0 #hate-speech-detection #arxiv-2010.04543 #arxiv-2103.14972 #arxiv-2312.17704 #region... | Portuguese Hate Speech Expanded Dataset (TuPyE)
===============================================
TuPyE, an enhanced iteration of TuPy, encompasses a compilation of 43,668 meticulously annotated documents specifically
selected for the purpose of hate speech detection within diverse social network contexts.
This augment... | [
"#### Table 1 - TuPyE composition\n\n\nLabel: Leite et al., Count: 21,000, Source: Twitter\nLabel: TuPy, Count: 10,000, Source: Twitter\nLabel: Vargas et al., Count: 7,000, Source: Instagram\nLabel: Fortuna et al., Count: 5,668, Source: Twitter\n\n\nTable 2 provides a detailed breakdown of the dataset, delineating ... | [
"TAGS\n#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-crowdsourced #language-Portuguese #license-cc-by-4.0 #hate-speech-detection #arxiv-2010.04543 #arxiv-2103.14972 #arxiv-2312.17704 #... | [
121,
113,
49,
285
] | [
"passage: TAGS\n#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-crowdsourced #language-Portuguese #license-cc-by-4.0 #hate-speech-detection #arxiv-2010.04543 #arxiv-2103.14972 #arxiv-231... |
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