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4a5009abc37cbb2d3fd1a745f80e5ea1405ba9aa |
# Dataset
`GSM8K_zh` is a dataset for mathematical reasoning in Chinese, question-answer pairs are translated from GSM8K (https://github.com/openai/grade-school-math/tree/master) by `GPT-3.5-Turbo` with few-shot prompting.
The dataset consists of 7473 training samples and 1319 testing samples. The former is for **su... | meta-math/GSM8K_zh | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"language:zh",
"license:mit",
"math",
"math-qa",
"chinese-math-qa",
"region:us"
] | 2023-12-04T03:08:44+00:00 | {"language": ["en", "zh"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "tags": ["math", "math-qa", "chinese-math-qa"]} | 2023-12-04T04:02:01+00:00 | [] | [
"en",
"zh"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-English #language-Chinese #license-mit #math #math-qa #chinese-math-qa #region-us
|
# Dataset
'GSM8K_zh' is a dataset for mathematical reasoning in Chinese, question-answer pairs are translated from GSM8K (URL by 'GPT-3.5-Turbo' with few-shot prompting.
The dataset consists of 7473 training samples and 1319 testing samples. The former is for supervised fine-tuning, while the latter is for evaluatio... | [
"# Dataset\n\n'GSM8K_zh' is a dataset for mathematical reasoning in Chinese, question-answer pairs are translated from GSM8K (URL by 'GPT-3.5-Turbo' with few-shot prompting.\nThe dataset consists of 7473 training samples and 1319 testing samples. The former is for supervised fine-tuning, while the latter is for eva... | [
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38ee9a74b40f897c2347b5068fda5d7208cac0ce |
원본 데이터셋: [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) | nlp-with-deeplearning/ko.databricks-dolly-15k | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:en",
"language:ko",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-04T03:12:08+00:00 | {"language": ["en", "ko"], "license": "cc-by-nc-sa-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "summarization"]} | 2023-12-04T03:27:59+00:00 | [] | [
"en",
"ko"
] | TAGS
#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-English #language-Korean #license-cc-by-nc-sa-4.0 #region-us
|
원본 데이터셋: databricks/databricks-dolly-15k | [] | [
"TAGS\n#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-English #language-Korean #license-cc-by-nc-sa-4.0 #region-us \n"
] | [
62
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] |
9347e6bba50eb20ad36b572f17eeba6d377dd5a1 |
# Dataset
`MetaMathQA_GSM8K_zh` is a dataset for mathematical reasoning in Chinese,
question-answer pairs are translated from MetaMathQA (https://huggingface.co/datasets/meta-math/MetaMathQA) by `GPT-3.5-Turbo` with few-shot prompting.
The dataset consists of 231685 samples.
# Citation
If you find the `GSM8K_zh`... | meta-math/MetaMathQA_GSM8K_zh | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"language:zh",
"license:mit",
"math",
"math-qa",
"region:us"
] | 2023-12-04T03:13:47+00:00 | {"language": ["en", "zh"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "tags": ["math", "math-qa"]} | 2023-12-04T05:23:20+00:00 | [] | [
"en",
"zh"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-English #language-Chinese #license-mit #math #math-qa #region-us
|
# Dataset
'MetaMathQA_GSM8K_zh' is a dataset for mathematical reasoning in Chinese,
question-answer pairs are translated from MetaMathQA (URL by 'GPT-3.5-Turbo' with few-shot prompting.
The dataset consists of 231685 samples.
If you find the 'GSM8K_zh' dataset useful for your projects/papers, please cite the foll... | [
"# Dataset\n\n'MetaMathQA_GSM8K_zh' is a dataset for mathematical reasoning in Chinese, \nquestion-answer pairs are translated from MetaMathQA (URL by 'GPT-3.5-Turbo' with few-shot prompting.\nThe dataset consists of 231685 samples.\n\n\n\nIf you find the 'GSM8K_zh' dataset useful for your projects/papers, please c... | [
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dec24968c6e3eea2d2f0691d57797299374ba612 |
원본 데이터셋: [teknium/openhermes](https://huggingface.co/datasets/teknium/openhermes) | nlp-with-deeplearning/ko.openhermes | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"language:ko",
"license:cc-by-nc-sa-4.0",
"distillation",
"synthetic data",
"gpt",
"region:us"
] | 2023-12-04T03:14:12+00:00 | {"language": ["en", "ko"], "license": "cc-by-nc-sa-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "tags": ["distillation", "synthetic data", "gpt"]} | 2023-12-04T03:26:54+00:00 | [] | [
"en",
"ko"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-English #language-Korean #license-cc-by-nc-sa-4.0 #distillation #synthetic data #gpt #region-us
|
원본 데이터셋: teknium/openhermes | [] | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-English #language-Korean #license-cc-by-nc-sa-4.0 #distillation #synthetic data #gpt #region-us \n"
] | [
63
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] |
56303eec1fe0f52eb30a3191a0ec569953f9b34b |
원본 데이터셋: [nvidia/HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer) | nlp-with-deeplearning/Ko.HelpSteer | [
"size_categories:10K<n<100K",
"language:en",
"language:ko",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-04T03:18:07+00:00 | {"language": ["en", "ko"], "license": "cc-by-nc-sa-4.0", "size_categories": ["10K<n<100K"]} | 2023-12-04T03:25:23+00:00 | [] | [
"en",
"ko"
] | TAGS
#size_categories-10K<n<100K #language-English #language-Korean #license-cc-by-nc-sa-4.0 #region-us
|
원본 데이터셋: nvidia/HelpSteer | [] | [
"TAGS\n#size_categories-10K<n<100K #language-English #language-Korean #license-cc-by-nc-sa-4.0 #region-us \n"
] | [
40
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"passage: TAGS\n#size_categories-10K<n<100K #language-English #language-Korean #license-cc-by-nc-sa-4.0 #region-us \n"
] |
f2a0896a737fb03eb81bc88cc96cc187f73e9c1b |
This dataset represents the supervised fine-tuning instructions for HuatuoGPT2, with all responses generated by GPT-4. We have made 50,000 entries of this dataset publicly available.
- **Repository:** https://github.com/FreedomIntelligence/HuatuoGPT-II | FreedomIntelligence/HuatuoGPT2_sft_instruct_GPT4_50K | [
"license:apache-2.0",
"region:us"
] | 2023-12-04T03:41:42+00:00 | {"license": "apache-2.0"} | 2023-12-04T11:39:54+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This dataset represents the supervised fine-tuning instructions for HuatuoGPT2, with all responses generated by GPT-4. We have made 50,000 entries of this dataset publicly available.
- Repository: URL | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
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121352c0e164f001cbd2fc29aa6d4ceb23779104 | # Dataset Card for "thestack_omp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | celinelee/thestack_omp | [
"region:us"
] | 2023-12-04T03:44:36+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "c", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2214853376.8, "num_examples": 76232}, {"name": "valid", "num_bytes": 276856672.1, "num_examples": 9529}, {"name": "test", "num_bytes": 276856672.1, "num_examples": 9529}], "... | 2023-12-04T19:52:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "thestack_omp"
More Information needed | [
"# Dataset Card for \"thestack_omp\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"thestack_omp\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"thestack_omp\"\n\nMore Information needed"
] |
2efd9081cd858f09e56a44ed3105b3af9cce35d0 |
# Sea-bench - a benchmark for evaluating chat assistants in Southeast Asian languages.
**See interactive benchmark view at [Spaces/SeaLLMs/Sea-bench](https://huggingface.co/spaces/SeaLLMs/Sea-bench)**
While there are popular benchmarks to evaluate LLMs as helpful assistants, such as [MT-bench](https://huggingface.co... | SeaLLMs/Sea-bench | [
"size_categories:n<1K",
"language:en",
"language:vi",
"language:id",
"language:km",
"language:th",
"language:lo",
"language:my",
"language:ms",
"language:tl",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-12-04T03:53:06+00:00 | {"language": ["en", "vi", "id", "km", "th", "lo", "my", "ms", "tl", "zh"], "license": "apache-2.0", "size_categories": ["n<1K"], "configs": [{"config_name": "Question", "data_files": "question.jsonl"}]} | 2023-12-12T13:34:52+00:00 | [] | [
"en",
"vi",
"id",
"km",
"th",
"lo",
"my",
"ms",
"tl",
"zh"
] | TAGS
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|
# Sea-bench - a benchmark for evaluating chat assistants in Southeast Asian languages.
See interactive benchmark view at Spaces/SeaLLMs/Sea-bench
While there are popular benchmarks to evaluate LLMs as helpful assistants, such as MT-bench,
they are only English-based and likely to be unsuitable to evaluate performan... | [
"# Sea-bench - a benchmark for evaluating chat assistants in Southeast Asian languages.\n\nSee interactive benchmark view at Spaces/SeaLLMs/Sea-bench\n\nWhile there are popular benchmarks to evaluate LLMs as helpful assistants, such as MT-bench, \nthey are only English-based and likely to be unsuitable to evaluate ... | [
"TAGS\n#size_categories-n<1K #language-English #language-Vietnamese #language-Indonesian #language-Khmer #language-Thai #language-Lao #language-Burmese #language-Malay (macrolanguage) #language-Tagalog #language-Chinese #license-apache-2.0 #region-us \n",
"# Sea-bench - a benchmark for evaluating chat assistants ... | [
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] |
c6da1ea3a6350f7a18b84e3e197666a2f67e3526 |
# Code Instruct Multiturn
Originally from https://huggingface.co/datasets/TokenBender/glaive_coder_raw_text, use Ultrachat template to generate multiturn using ChatGPT3.5
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/chatbot/code-instruct-multiturn
There are bad pairs you need to reject, ... | mesolitica/chatgpt-code-instruct-multiturn | [
"task_categories:conversational",
"language:ms",
"region:us"
] | 2023-12-04T04:01:33+00:00 | {"language": ["ms"], "task_categories": ["conversational"]} | 2024-02-02T08:23:33+00:00 | [] | [
"ms"
] | TAGS
#task_categories-conversational #language-Malay (macrolanguage) #region-us
|
# Code Instruct Multiturn
Originally from URL use Ultrachat template to generate multiturn using ChatGPT3.5
Notebooks at URL
There are bad pairs you need to reject, follow URL
- ultrachat-glaive_coder_raw_text.jsonl, 127253 rows, 1.43 GB
## Example data
bash\nsudo yum install epel-release\nbash\nsudo yum inst... | [
"# Code Instruct Multiturn\n\nOriginally from URL use Ultrachat template to generate multiturn using ChatGPT3.5\n\nNotebooks at URL\n\nThere are bad pairs you need to reject, follow URL\n\n- ultrachat-glaive_coder_raw_text.jsonl, 127253 rows, 1.43 GB",
"## Example data\n\nbash\\nsudo yum install epel-release\\nba... | [
"TAGS\n#task_categories-conversational #language-Malay (macrolanguage) #region-us \n",
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61ec86634fe97cabd3b687b06f7a458a97aab7ef |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | minimindy/lora-checkpoint-50 | [
"arxiv:1910.09700",
"region:us"
] | 2023-12-04T04:01:57+00:00 | {"library_name": "peft", "base_model": "baffo32/decapoda-research-llama-7B-hf"} | 2023-12-04T05:58:17+00:00 | [
"1910.09700"
] | [] | TAGS
#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"## Model Details",
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"### Model Sources [optio... | [
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4ba8e43ab50177eed64df3a96e78d898978d5771 | ### Dataset
The glue consists of a roughly even three-way split between:
- The entirety of HF No Robots.
- The entirety of TinyPixel/orca-mini
- Part of the Alpaca dataset (randomly chosen) | athirdpath/Merge_Glue | [
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-04T04:29:39+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0"} | 2023-12-05T11:00:18+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-nc-4.0 #region-us
| ### Dataset
The glue consists of a roughly even three-way split between:
- The entirety of HF No Robots.
- The entirety of TinyPixel/orca-mini
- Part of the Alpaca dataset (randomly chosen) | [
"### Dataset\n\nThe glue consists of a roughly even three-way split between:\n- The entirety of HF No Robots.\n- The entirety of TinyPixel/orca-mini\n- Part of the Alpaca dataset (randomly chosen)"
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60
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"passage: TAGS\n#language-English #license-cc-by-nc-4.0 #region-us \n### Dataset\n\nThe glue consists of a roughly even three-way split between:\n- The entirety of HF No Robots.\n- The entirety of TinyPixel/orca-mini\n- Part of the Alpaca dataset (randomly chosen)"
] |
dabc6f941af13714bc347b14efd5dcaf81629b80 |
# Bangumi Image Base of Kami Nomi Zo Shiru Sekai
This is the image base of bangumi Kami Nomi zo Shiru Sekai, we detected 60 characters, 5684 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to m... | BangumiBase/kaminomizoshirusekai | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-12-04T05:16:11+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-12-04T08:33:31+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Kami Nomi Zo Shiru Sekai
==============================================
This is the image base of bangumi Kami Nomi zo Shiru Sekai, we detected 60 characters, 5684 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be n... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
cf77665e7d6dc28a9b57cb9155a3c5406e902ca0 |
# Bangumi Image Base of Kimi Ni Todoke
This is the image base of bangumi Kimi ni Todoke, we detected 31 characters, 4387 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models... | BangumiBase/kiminitodoke | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-12-04T05:16:29+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-12-04T08:20:23+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Kimi Ni Todoke
====================================
This is the image base of bangumi Kimi ni Todoke, we detected 31 characters, 4387 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to ... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
a6e5bbc38bd072b251ac2c9e25ab3d10462677d0 |
# Bangumi Image Base of Ef - A Tale
This is the image base of bangumi Ef - A Tale, we detected 21 characters, 2004 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using... | BangumiBase/efatale | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-12-04T05:17:05+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-12-04T06:58:35+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Ef - A Tale
=================================
This is the image base of bangumi Ef - A Tale, we detected 21 characters, 2004 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually ... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
2821c8cd2744932a4a0992607d1aea96e40c6405 |
# Bangumi Image Base of Kaichou Wa Maid-sama!
This is the image base of bangumi Kaichou wa Maid-sama!, we detected 47 characters, 3607 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manuall... | BangumiBase/kaichouwamaidsama | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-12-04T05:17:21+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-12-04T07:11:45+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Kaichou Wa Maid-sama!
===========================================
This is the image base of bangumi Kaichou wa Maid-sama!, we detected 47 characters, 3607 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actu... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
547412eecd50d7f87c8357b2de4d4b2987215217 | # Dataset Card for "sni-10k-flat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sordonia/sni-10k-flat | [
"region:us"
] | 2023-12-04T05:32:08+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "task_source", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 715867937, "num_examples": 549506}], "downlo... | 2023-12-04T13:49:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sni-10k-flat"
More Information needed | [
"# Dataset Card for \"sni-10k-flat\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sni-10k-flat\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"sni-10k-flat\"\n\nMore Information needed"
] |
ba4815d6a62f9607c02b6b016b3eebfd47ae5aeb |
# OpenPlatypus-Commercial version
This dataset is focused on improving LLM logical reasoning skills and was used to train the Platypus2 models. It is comprised of the following datasets, which were filtered using keyword search and then Sentence Transformers to remove questions with a similarity above 80%:
| Datase... | kyujinpy/Open-platypus-Commercial | [
"license:mit",
"arxiv:2308.07317",
"region:us"
] | 2023-12-04T05:35:35+00:00 | {"license": "mit", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "data_source", "dtype": "string"}], "spl... | 2023-12-04T05:52:34+00:00 | [
"2308.07317"
] | [] | TAGS
#license-mit #arxiv-2308.07317 #region-us
| OpenPlatypus-Commercial version
===============================
This dataset is focused on improving LLM logical reasoning skills and was used to train the Platypus2 models. It is comprised of the following datasets, which were filtered using keyword search and then Sentence Transformers to remove questions with a si... | [] | [
"TAGS\n#license-mit #arxiv-2308.07317 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#license-mit #arxiv-2308.07317 #region-us \n"
] |
e7cdb94d0c9483a32a7815baff60677df471684a | # Dataset Card for "single_med_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | austin/single_med_data | [
"region:us"
] | 2023-12-04T05:45:03+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10510513.084627181, "num_examples": 20450}, {"name": "eval", "num_bytes": 214835.91537281964, "num_examples": 418}], "download_size": 2108422, "dataset_size": 10725349.0... | 2023-12-04T05:49:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "single_med_data"
More Information needed | [
"# Dataset Card for \"single_med_data\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"single_med_data\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"single_med_data\"\n\nMore Information needed"
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a5187dbc91fab195e8212e1c3876fe1aff2645b4 | # Dataset Card for "PubMedQA-ShareGPT"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Medilora/PubMedQA-ShareGPT | [
"region:us"
] | 2023-12-04T06:05:27+00:00 | {"dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 381454267, "num_examples": 211269}], "download_size": 200512585, "dataset_size": 381454267}, "configs": [{"config_name": "default", "d... | 2023-12-04T06:08:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PubMedQA-ShareGPT"
More Information needed | [
"# Dataset Card for \"PubMedQA-ShareGPT\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"PubMedQA-ShareGPT\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"PubMedQA-ShareGPT\"\n\nMore Information needed"
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4f7f03b22434389243f4584345f1c79d7eb27093 | Description
- The Asgaard and Bingsu datasets are collections of PNG image files derived from various popular video games.
- These datasets are intended for use in computer vision research, particularly in areas related to gaming environments, character recognition, and scene understanding.
Asgaard Dataset
- Size: 10... | successtiger/gclip | [
"region:us"
] | 2023-12-04T06:11:35+00:00 | {} | 2023-12-04T06:40:27+00:00 | [] | [] | TAGS
#region-us
| Description
- The Asgaard and Bingsu datasets are collections of PNG image files derived from various popular video games.
- These datasets are intended for use in computer vision research, particularly in areas related to gaming environments, character recognition, and scene understanding.
Asgaard Dataset
- Size: 10... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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4b5bbf5fb08dd7dd296e506ab572bff0e966c75d |
<div align="center">
<img src="Yi_logo.svg" width="150px" style="display: inline-block;">
<img src="m-a-p.png" width="150px" style="display: inline-block;">
</div>
# Kun: Answer Polishment Saves Your Time for Using Intruction Backtranslation on Self-Alignment
## Table of Contents
- [Overview](#overview)
- [D... | m-a-p/COIG-Kun | [
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:zh",
"region:us"
] | 2023-12-04T06:36:50+00:00 | {"language": ["zh"], "size_categories": ["100K<n<1M"], "task_categories": ["question-answering"]} | 2023-12-27T07:14:20+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #size_categories-100K<n<1M #language-Chinese #region-us
|
<div align="center">
<img src="Yi_logo.svg" width="150px" style="display: inline-block;">
<img src="URL" width="150px" style="display: inline-block;">
</div>
# Kun: Answer Polishment Saves Your Time for Using Intruction Backtranslation on Self-Alignment
## Table of Contents
- Overview
- Dataset Description
-... | [
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c2c27d66cf8bb9f6c3848dcc56afe890590fc548 |
<div align="center">
<img src="Yi_logo.svg" width="150px" style="display: inline-block;">
<img src="siat-logo.jpg" width="150px" style="display: inline-block;">
<img src="m-a-p.png" width="150px" style="display: inline-block;">
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# COIG-CQIA:Quality is All you need for Chinese Instruction Fine-tuni... | m-a-p/COIG-CQIA | [
"task_categories:question-answering",
"task_categories:text-classification",
"task_categories:text-generation",
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"task_categories:text2text-generation",
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"language:zh",
"arxiv:2307.09705",
"region:us"
] | 2023-12-04T07:04:37+00:00 | {"language": ["zh"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text-classification", "text-generation", "conversational", "text2text-generation"]} | 2024-01-29T17:07:42+00:00 | [
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|



COIG-CQIA:Quality is All you need for Chinese Instruction Fine-tuning
=====================================================================
Dataset Details
---------------
### Dataset Description
欢迎来到COIG-CQIA,COIG-CQIA全称为Chinese Open Instruction Generalist - Quality is All Yo... | [
"### Dataset Description\n\n\n欢迎来到COIG-CQIA,COIG-CQIA全称为Chinese Open Instruction Generalist - Quality is All You Need, 是一个开源的高质量指令微调数据集,旨在为中文NLP社区提供高质量且符合人类交互行为的指令微调数据。COIG-CQIA以中文互联网获取到的问答及文章作为原始数据,经过深度清洗、重构及人工审核构建而成。本项目受*LIMA: Less Is More for Alignment*等研究启发,使用少量高质量的数据即可让大语言模型学习到人类交互行为,因此在数据构建中我们十分注重数据的来源、质量与多样性... | [
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f1fb238f308b78ebe8581b0cd378533bd86fb174 | # Dataset Card for "dpo_openhermes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ThWu/dpo_openhermes | [
"region:us"
] | 2023-12-04T07:32:39+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 557125321, "num_examples": 182859}], "download_size": 289321706, "dataset_size": 557125321}, "configs": [{"config_name": "defau... | 2023-12-04T07:37:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dpo_openhermes"
More Information needed | [
"# Dataset Card for \"dpo_openhermes\"\n\nMore Information needed"
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3d0b7e9a8a1013fcdc36b13215a8f2b390fe3e0d | # Dataset Card for "mnli-binary"
This dataset is the [mnli-3way](https://huggingface.co/datasets/AntoineBlanot/mnli-3way) dataset where the `contradiction` and `neutral` classes has been merged together as a `non-entailment` class.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTIN... | AntoineBlanot/mnli-binary | [
"region:us"
] | 2023-12-04T07:51:57+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76452262, "num_examples": 392702}, {"name": "test", "num_bytes": 1878757, "num_examples": 9815}], "download_size": 51169... | 2023-12-04T08:06:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli-binary"
This dataset is the mnli-3way dataset where the 'contradiction' and 'neutral' classes has been merged together as a 'non-entailment' class.
More Information needed | [
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] |
c4ee82946034405d7bc81632cae9fe3950f17cf4 | # Dataset Card for "mnli-contrast"
This dataset is the [mnli-3way](https://huggingface.co/datasets/AntoineBlanot/mnli-3way) dataset with an additional `instruction` feature.
This new feature along with its related `label_name` expresses how the `premise` and `hypothesis` features are related in the original dataset.
T... | AntoineBlanot/mnli-contrast | [
"region:us"
] | 2023-12-04T07:52:32+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "label_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 254483428, "num_examples": 785404}, {"name": "test", "num_bytes": 6297986, "... | 2023-12-04T08:06:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli-contrast"
This dataset is the mnli-3way dataset with an additional 'instruction' feature.
This new feature along with its related 'label_name' expresses how the 'premise' and 'hypothesis' features are related in the original dataset.
The following explains how the mapping is done:
### If the ... | [
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3d7bc15da8c17e617df3df2c63772906934b37c4 | # Dataset Card for "Thai-Pos-prompt"
This dataset made to create prompt for Thai part-of-speech tagging.
- The Train set made from [blackboard treebank](https://bitbucket.org/kaamanita/blackboard-treebank) that used own tags but we use Universal Dependencies tags, so we convert those tags into Universal Dependencies t... | pythainlp/Thai-Pos-prompt | [
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"size_categories:10K<n<100K",
"language:th",
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] | 2023-12-04T07:53:11+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["text2text-generation", "text-generation"], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 539162, "num_examples"... | 2023-12-04T07:59:35+00:00 | [] | [
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] | TAGS
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| # Dataset Card for "Thai-Pos-prompt"
This dataset made to create prompt for Thai part-of-speech tagging.
- The Train set made from blackboard treebank that used own tags but we use Universal Dependencies tags, so we convert those tags into Universal Dependencies tags. See blackboard treebank tags to Universal Dependen... | [
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40a9a20245304307a4100400bedac59b70cf7c6b | configs:
- config_name: default
data_files:
- split: train
path: train/neg/*, train/pos/*
- split: test
path: test/neg/*, test/pos/*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: integer (1 for positive, -1 for negative)
splits:
- name: train
num_examples: 2002... | ebrigham/DBRD | [
"task_categories:text-classification",
"language:nl",
"license:mit",
"arxiv:1910.00896",
"region:us"
] | 2023-12-04T07:57:07+00:00 | {"language": ["nl"], "license": "mit", "task_categories": ["text-classification"], "pretty_name": "DBRD"} | 2023-12-04T08:31:13+00:00 | [
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#task_categories-text-classification #language-Dutch #license-mit #arxiv-1910.00896 #region-us
| configs:
- config_name: default
data_files:
- split: train
path: train/neg/*, train/pos/*
- split: test
path: test/neg/*, test/pos/*
dataset_info:
features:
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3306ed6d1c7985e9581b0d9e2dfb5f82adf5d5fd | # Dataset Card for "mnli-3way"
This dataset is the [multi_nli](https://huggingface.co/datasets/multi_nli) dataset where the labels are: `entailment`, `contradiction` and `neutral`.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AntoineBlanot/mnli-3way | [
"region:us"
] | 2023-12-04T08:01:57+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 75405059, "num_examples": 392702}, {"name": "test", "num_bytes": 1853683, "num_examples": 9815}], "download_size": 51216... | 2023-12-04T08:02:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli-3way"
This dataset is the multi_nli dataset where the labels are: 'entailment', 'contradiction' and 'neutral'.
More Information needed | [
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27bb1fd9ffe94caa0625426a22a1e863fa72ef23 | ## 垃圾信息检测
垃圾邮件, 垃圾短信息, 广告识别.
### 数据来源
数据集从网上收集整理如下:
| 数据 | 语言 | 任务类型 | 原始数据/项目地址 | 样本个数 | 原始数据描述 | 替代数据下载地址 |
| :--- | :---: | :---: | :---: | :---: | :---: | :---: |
| enron_spam | 英语 | 垃圾邮件分类 | [enron_spam_data](https://github.com/MWiechmann/enron_sp... | qgyd2021/spam_detect | [
"license:apache-2.0",
"region:us"
] | 2023-12-04T08:09:48+00:00 | {"license": "apache-2.0"} | 2023-12-05T06:45:21+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| 垃圾信息检测
------
垃圾邮件, 垃圾短信息, 广告识别.
### 数据来源
数据集从网上收集整理如下:
### 样本示例
enron\_spam 样本示例
```
------------
wanted to try ci 4 lis but thought it was way too expensive for you ?
viagra at $ 1 . 12 per dose
ready to boost your sex life ? positive ?
time to do it right now . order viagra at incredibly low prices
... | [
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dc39062efec7515add304b98a54da2948709a808 |
This is a mirror to the example dataset "The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation" paper by Manco et al.
Project page on Github: https://github.com/mulab-mir/song-describer-dataset
Dataset on Zenodoo: https://zenodo.org/records/10072001
Explore the dataset on your loc... | renumics/song-describer-dataset | [
"region:us"
] | 2023-12-04T08:13:28+00:00 | {"dataset_info": {"features": [{"name": "caption_id", "dtype": "int64"}, {"name": "track_id", "dtype": "int64"}, {"name": "caption", "dtype": "string"}, {"name": "is_valid_subset", "dtype": "bool"}, {"name": "familiarity", "dtype": "int64"}, {"name": "artist_id", "dtype": "int64"}, {"name": "album_id", "dtype": "int64"... | 2023-12-04T10:16:10+00:00 | [] | [] | TAGS
#region-us
|
This is a mirror to the example dataset "The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation" paper by Manco et al.
Project page on Github: URL
Dataset on Zenodoo: URL
Explore the dataset on your local machine:
!image/png
| [] | [
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945157ea700def9a1ef9ae454e1b5438eea3b2e2 | # ChatGPT4 Code Instruct
Originally from https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1, translate and answer using ChatGPT4.
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/chatbot/chatgpt4-code-instruct
- [synthetic-codealpaca-v1-chatgpt4.jsonl](synthetic-codealpaca-v1-c... | mesolitica/chatgpt4-code-instruct | [
"task_categories:conversational",
"language:ms",
"region:us"
] | 2023-12-04T08:18:52+00:00 | {"language": ["ms"], "task_categories": ["conversational"]} | 2024-02-02T05:58:16+00:00 | [] | [
"ms"
] | TAGS
#task_categories-conversational #language-Malay (macrolanguage) #region-us
| # ChatGPT4 Code Instruct
Originally from URL translate and answer using ChatGPT4.
Notebooks at URL
- URL, 43482 rows, 274 MB.
## Example data
python\n # Menetapkan senarai integer\n arr = [1, 2, 3, 4]\n\n # Tentukan panjang senarai\n n = len(arr)\n\n # Melalui senarai dan keluarkan setiap elemen individu\n f... | [
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] |
4fdb4e54b6ba7a72e539a62671453a8cf1bea55c | https://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes#Indian_Pines | Tangliwen/Indian_Pines | [
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286a8bb25f0825f29f197bd206cfa38d5a30648d |
The dataset comprises over four hundred thousand handwritten names obtained from charitable initiatives.
Character Recognition employs image processing techniques to transform characters present on scanned documents into digital formats. It generally exhibits good performance with machine-printed fonts. Nonetheless, m... | gymprathap/Handwriting-Recognition-Dataset | [
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"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"code",
"region:us"
] | 2023-12-04T08:32:24+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "pretty_name": "Handwriting Recognition Dataset", "tags": ["code"]} | 2023-12-04T12:51:52+00:00 | [] | [
"en"
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#task_categories-token-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #code #region-us
|
The dataset comprises over four hundred thousand handwritten names obtained from charitable initiatives.
Character Recognition employs image processing techniques to transform characters present on scanned documents into digital formats. It generally exhibits good performance with machine-printed fonts. Nonetheless, m... | [] | [
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9437b83cd317e01f3a8011f5d9eef5c00eede83f |
# Dataset Card for "kor_aeslc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@inproceedings{zhang-tetreault-2019-email,
title = "This Email Could Save Your Life: Introducing the Task of Em... | KETI-AIR/kor_aeslc | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-04T08:52:08+00:00 | {"license": "cc-by-nc-sa-4.0", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "data_index_by_user", "dtype": "int32"}, {"name": "su... | 2023-12-05T01:48:14+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for "kor_aeslc"
More Information needed
# Source Data Citation Information
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2083a7e30878af2993632b2fc3565ed4a2159534 | # Dataset Card for "h-and-m-fashion-caption"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomytjandra/h-and-m-fashion-caption | [
"region:us"
] | 2023-12-04T09:30:19+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 7843224039.084, "num_examples": 20491}], "download_size": 6302088359, "dataset_size": 7843224039.084}, "configs": [{"config_name": "default", "data_files": [{"split": "trai... | 2023-12-04T11:07:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "h-and-m-fashion-caption"
More Information needed | [
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c966383b4dff05cd0f5b16b31e7b81421af12832 |
# This dataset includes TheGambler novel, reformated for QA QSI and is based on:
https://github.com/Priya22/project-dialogism-novel-corpus/tree/master/data
Thank you, autors of the original dataset!
## See all my research files at:
https://github.com/Kkordik/NovelQSI/tree/main | Kkordik/NovelQSI | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-04T09:36:10+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "pretty_name": "NovelQSI", "dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequenc... | 2023-12-04T21:42:28+00:00 | [] | [
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] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-English #license-apache-2.0 #region-us
|
# This dataset includes TheGambler novel, reformated for QA QSI and is based on:
URL
Thank you, autors of the original dataset!
## See all my research files at:
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95033c738a86ebb9fac1fa491648ea0ebdd4edeb |
# TextGPT4V 30K Dataset Card
## Dataset details
**Dataset type:**
TextGPT4V 30K is a set of GPT4V generated instruction data to enchance the textual capabilities of VLMs.
Constructed with prompting 'gpt-4-vision-preview'.
**Dataset date:**
TextGPT4V 30K was collected in Nov 2023, by prompting 'gpt-4-vision-preview... | pig4431/TextGPT4V | [
"task_categories:visual-question-answering",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | 2023-12-04T09:46:55+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["visual-question-answering", "question-answering"], "pretty_name": "TextGPT4V"} | 2023-12-04T09:54:06+00:00 | [] | [
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] | TAGS
#task_categories-visual-question-answering #task_categories-question-answering #size_categories-10K<n<100K #language-English #region-us
|
# TextGPT4V 30K Dataset Card
## Dataset details
Dataset type:
TextGPT4V 30K is a set of GPT4V generated instruction data to enchance the textual capabilities of VLMs.
Constructed with prompting 'gpt-4-vision-preview'.
Dataset date:
TextGPT4V 30K was collected in Nov 2023, by prompting 'gpt-4-vision-preview' API.
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db2c21846d0eccae8e9c331be3d434099d4e501d |
The 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Traditional Chinese Medicine (TCM) Pharmacy track examination. It is important to note that this dataset w... | FreedomIntelligence/2023_Pharmacist_Licensure_Examination-TCM_track | [
"license:apache-2.0",
"region:us"
] | 2023-12-04T10:54:07+00:00 | {"license": "apache-2.0"} | 2023-12-04T11:39:31+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
The 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Traditional Chinese Medicine (TCM) Pharmacy track examination. It is important to note that this dataset w... | [] | [
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21f02e1a8e05c9fa7273b675d5b8bdd1eb872181 |
The 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Pharmacy track examination. It is important to note that this dataset was collected from online sources, a... | FreedomIntelligence/2023_Pharmacist_Licensure_Examination-Pharmacy_track | [
"license:apache-2.0",
"region:us"
] | 2023-12-04T10:54:29+00:00 | {"license": "apache-2.0"} | 2023-12-04T11:39:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
The 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Pharmacy track examination. It is important to note that this dataset was collected from online sources, a... | [] | [
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14
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43cc77a0fa37e26874274548a519a73f51296a48 |
# Dataset Card for Evaluation run of WebraftAI/synapsellm-7b-mistral-v0.3-preview
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/WebraftAI/synapsellm-7b-mistral-v0.3-preview
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point o... | open-llm-leaderboard/details_WebraftAI__synapsellm-7b-mistral-v0.3-preview | [
"region:us"
] | 2023-12-04T11:05:04+00:00 | {"pretty_name": "Evaluation run of WebraftAI/synapsellm-7b-mistral-v0.3-preview", "dataset_summary": "Dataset automatically created during the evaluation run of model [WebraftAI/synapsellm-7b-mistral-v0.3-preview](https://huggingface.co/WebraftAI/synapsellm-7b-mistral-v0.3-preview) on the [Open LLM Leaderboard](https:/... | 2023-12-04T11:05:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of WebraftAI/synapsellm-7b-mistral-v0.3-preview
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
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1ce47ce3d719792c74e2b14495ee94b603fd7d18 |
# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-100step-flan
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point o... | open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan | [
"region:us"
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# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-100step-flan
## Dataset Description
- Homepage:
- Repository: URL
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- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model Korabbit/Llama-2-7b-chat-hf-af... | [
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d943b260119ec832929d92da33a559f1d0575bea |
# Dataset Card for Evaluation run of abacusai/Giraffe-beta-13b-32k
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/abacusai/Giraffe-beta-13b-32k
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
... | open-llm-leaderboard/details_abacusai__Giraffe-beta-13b-32k | [
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# Dataset Card for Evaluation run of abacusai/Giraffe-beta-13b-32k
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# Dataset Card for Evaluation run of Weyaxi/Platypus-Nebula-v2-7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Weyaxi/Platypus-Nebula-v2-7B
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# Dataset Card for Evaluation run of Weyaxi/Platypus-Nebula-v2-7B
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bdf752d4359e0ef7c0f757183334c07e28da9c67 | # Create dataset for arabic named entiy
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The RTTM files are generated by executing the `libri_css` recipe from `ESPnet` (https://github.com/espnet/espnet/tree/master/egs/libri_css/asr1).
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# Dataset Card for Evaluation run of mlabonne/NeuralHermes-2.5-Mistral-7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B
- **Paper:**
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- **Point of Contact:** cle... | open-llm-leaderboard/details_mlabonne__NeuralHermes-2.5-Mistral-7B | [
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# Dataset Card for Evaluation run of mlabonne/NeuralHermes-2.5-Mistral-7B
## Dataset Description
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# Dataset Card for Evaluation run of migtissera/Tess-XS-v1-3-yarn-128K
## Dataset Description
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- **Repository:** https://huggingface.co/migtissera/Tess-XS-v1-3-yarn-128K
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# Dataset Card for Evaluation run of migtissera/Tess-XS-v1-3-yarn-128K
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# Dataset Card for Evaluation run of Minirecord/Mini_DPO_test02
## Dataset Description
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# Dataset Card for Evaluation run of KoboldAI/LLaMA2-13B-Psyfighter2
## Dataset Description
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- **Repository:** https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2
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# Dataset Card for Evaluation run of KoboldAI/LLaMA2-13B-Psyfighter2
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# Dataset Card for Evaluation run of Medilora/medilora-qwen-14b
## Dataset Description
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- **Repository:** https://huggingface.co/Medilora/medilora-qwen-14b
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# Dataset Card for Evaluation run of ceadar-ie/FinanceConnect-13B
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# Dataset Card for Evaluation run of Medilora/medilora-mistral-7b
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### Dataset Summary
Dataset automatically created during the evaluation run of model Medilora/medilora-mistral-7b on the Open LLM L... | [
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8c82f57341f2314a58faf7b0f8ebbbb78164856c |
# Dataset Card for Evaluation run of TheBloke/orca_mini_v3_13B-GPTQ
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/TheBloke/orca_mini_v3_13B-GPTQ
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.c... | open-llm-leaderboard/details_TheBloke__orca_mini_v3_13B-GPTQ | [
"region:us"
] | 2023-12-04T12:42:00+00:00 | {"pretty_name": "Evaluation run of TheBloke/orca_mini_v3_13B-GPTQ", "dataset_summary": "Dataset automatically created during the evaluation run of model [TheBloke/orca_mini_v3_13B-GPTQ](https://huggingface.co/TheBloke/orca_mini_v3_13B-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-04T12:42:53+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of TheBloke/orca_mini_v3_13B-GPTQ
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model TheBloke/orca_mini_v3_13B-GPTQ on the Open L... | [
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60810824c39d1c7d97ce2454e14abb9e44a5fd57 |
# Dataset Card for Cooperate Phishing
<!-- Provide a quick summary of the dataset. -->
Bilic Phishing Corpus contains over 20k chat dialogues with annotated summaries. There are two features: - dialogue: text of dialogue. - summary: A summary of the dialogure to determine phishing attempt. "
## Dataset Details
##... | Bilic/phishing | [
"task_categories:text-classification",
"task_categories:summarization",
"task_categories:question-answering",
"task_categories:conversational",
"task_categories:text-to-speech",
"size_categories:10K<n<100K",
"license:mit",
"phishing",
"fraud",
"region:us"
] | 2023-12-04T12:52:14+00:00 | {"license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "summarization", "question-answering", "conversational", "text-to-speech"], "pretty_name": "bilic-phishing", "tags": ["phishing", "fraud"]} | 2023-12-04T13:13:31+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_categories-summarization #task_categories-question-answering #task_categories-conversational #task_categories-text-to-speech #size_categories-10K<n<100K #license-mit #phishing #fraud #region-us
|
# Dataset Card for Cooperate Phishing
Bilic Phishing Corpus contains over 20k chat dialogues with annotated summaries. There are two features: - dialogue: text of dialogue. - summary: A summary of the dialogure to determine phishing attempt. "
## Dataset Details
### Dataset Description
- Dialogue: Intra Coo... | [
"# Dataset Card for Cooperate Phishing\n\n\n\nBilic Phishing Corpus contains over 20k chat dialogues with annotated summaries. There are two features: - dialogue: text of dialogue. - summary: A summary of the dialogure to determine phishing attempt. \"",
"## Dataset Details",
"### Dataset Description\n\n\n\n\n... | [
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a9c20705da7100226ec794323861ff75eec5d773 | # Dataset Card for "GPTSilkomePretrained"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mjbuehler/GPTSilkomePretrained | [
"region:us"
] | 2023-12-04T12:54:17+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 213036133, "num_examples": 731354}], "download_size": 203708011, "dataset_size": 213036133}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-04T12:54:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTSilkomePretrained"
More Information needed | [
"# Dataset Card for \"GPTSilkomePretrained\"\n\nMore Information needed"
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3369cec143ca38a5677205e79ba91e3396257339 | # ssl-checkpoints
The code to load the checkpoints to follow...
The repository is organised as follows:
- Each folder corresponds to the data set used for our experiment.
- Each subfolder represents the corresponding SSL technique used.
- These subfolders contain the checkpoints for each transformation/pretext task c... | CATIE-AQ/ssl-checkpoints | [
"region:us"
] | 2023-12-04T12:55:26+00:00 | {} | 2023-12-05T20:05:38+00:00 | [] | [] | TAGS
#region-us
| # ssl-checkpoints
The code to load the checkpoints to follow...
The repository is organised as follows:
- Each folder corresponds to the data set used for our experiment.
- Each subfolder represents the corresponding SSL technique used.
- These subfolders contain the checkpoints for each transformation/pretext task c... | [
"# ssl-checkpoints\n\nThe code to load the checkpoints to follow...\nThe repository is organised as follows:\n\n- Each folder corresponds to the data set used for our experiment.\n- Each subfolder represents the corresponding SSL technique used.\n- These subfolders contain the checkpoints for each transformation/pr... | [
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8687b59dbe8853be7a4367cb9d82d95a40724bdb | # Dataset Card for "GPTSilkomePretrained"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lamm-mit/SilkomePretrainedGPT | [
"region:us"
] | 2023-12-04T13:01:11+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 213036133, "num_examples": 731354}], "download_size": 203708011, "dataset_size": 213036133}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-04T13:01:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTSilkomePretrained"
More Information needed | [
"# Dataset Card for \"GPTSilkomePretrained\"\n\nMore Information needed"
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ca2553af198ee670f2c0b097201ded609a334b10 | # Synthetic Malaysian Extractive QA
Generated using ChatGPT3.5, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/question-answer/chatgpt3.5-extractive-news | mesolitica/chatgpt-malaysian-extractive-qa | [
"task_categories:question-answering",
"language:ms",
"region:us"
] | 2023-12-04T13:06:49+00:00 | {"language": ["ms"], "task_categories": ["question-answering"], "pretty_name": "synthetic-malaysian-extract-qa"} | 2023-12-04T13:32:29+00:00 | [] | [
"ms"
] | TAGS
#task_categories-question-answering #language-Malay (macrolanguage) #region-us
| # Synthetic Malaysian Extractive QA
Generated using ChatGPT3.5, notebooks at URL | [
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98acad6712f12bb938bb0a8cf025bbace114c7e5 |
# Inria Aerial Image Labeling Dataset

## Description
The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in ["Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.](ht... | blanchon/INRIA-Aerial-Image-Labeling | [
"task_categories:image-segmentation",
"size_categories:n<1K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"scene-segmentation",
"semantic-segmentation",
"building-labeling",
"arxiv:1608.05167",
"region:us"
] | 2023-12-04T13:17:26+00:00 | {"language": ["en"], "license": ["unknown"], "size_categories": ["n<1K"], "task_categories": ["image-segmentation"], "pretty_name": "Inria Aerial Image Labeling Dataset", "tags": ["remote-sensing", "earth-observation", "geospatial", "satellite-imagery", "scene-segmentation", "semantic-segmentation", "building-labeling"... | 2023-12-04T14:47:42+00:00 | [
"1608.05167"
] | [
"en"
] | TAGS
#task_categories-image-segmentation #size_categories-n<1K #language-English #license-unknown #remote-sensing #earth-observation #geospatial #satellite-imagery #scene-segmentation #semantic-segmentation #building-labeling #arxiv-1608.05167 #region-us
|
# Inria Aerial Image Labeling Dataset
!Inria Aerial Image Labeling
## Description
The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in "Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.. It consists of 360 hig... | [
"# Inria Aerial Image Labeling Dataset\n\n!Inria Aerial Image Labeling",
"## Description\n\nThe Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in \"Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark,\" Maggiori et al.. It consi... | [
"TAGS\n#task_categories-image-segmentation #size_categories-n<1K #language-English #license-unknown #remote-sensing #earth-observation #geospatial #satellite-imagery #scene-segmentation #semantic-segmentation #building-labeling #arxiv-1608.05167 #region-us \n",
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a65024b6611b36cc8ecfbe461224ebdd95c0d7e5 |
# Danbooru Public
Danbooru database which including metadata for ["posts"](https://danbooru.donmai.us/wiki_pages/help:posts),
["tags"](https://danbooru.donmai.us/wiki_pages/help:tags) and ["artists"](https://danbooru.donmai.us/artists).
Download from [danbooru public google cloud storage](https://console.cloud.googl... | Crosstyan/danbooru-public | [
"danbooru",
"region:us"
] | 2023-12-04T13:18:14+00:00 | {"tags": ["danbooru"]} | 2024-01-21T14:56:29+00:00 | [] | [] | TAGS
#danbooru #region-us
|
# Danbooru Public
Danbooru database which including metadata for "posts",
"tags" and "artists".
Download from danbooru public google cloud storage.
Updated at 2023/11/30.
Data are encoded with JSON Lines.
## See also
- crosstyan/explore-danbooru | [
"# Danbooru Public\n\nDanbooru database which including metadata for \"posts\",\n\"tags\" and \"artists\".\n\nDownload from danbooru public google cloud storage.\nUpdated at 2023/11/30.\n\nData are encoded with JSON Lines.",
"## See also\n\n- crosstyan/explore-danbooru"
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] |
d422072bb3095f880c5ab062f2ca6facbbd77408 | # Dataset Card for "thai-wiktionary-prompt"
This dataset made to create prompt for get the meaning of word.
Dataset from [Thai wiktionary](https://th.wiktionary.org/).
## Template
```
Inputs: จงบอกความหมายของคำต่อไปนี้: {word}
Targets: คำว่า {word} มีความหมายตามชนิดของคำได้ดังต่อไปนี้\n
- POS มีความหมายได้ว่า the ... | pythainlp/thai-wiktionary-prompt | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"region:us"
] | 2023-12-04T13:33:04+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["text2text-generation", "text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"n... | 2023-12-06T07:51:22+00:00 | [] | [
"th"
] | TAGS
#task_categories-text2text-generation #task_categories-text-generation #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #region-us
| # Dataset Card for "thai-wiktionary-prompt"
This dataset made to create prompt for get the meaning of word.
Dataset from Thai wiktionary.
## Template
Example:
PyThaiNLP | [
"# Dataset Card for \"thai-wiktionary-prompt\"\n\nThis dataset made to create prompt for get the meaning of word.\n\nDataset from Thai wiktionary.",
"## Template\n\n\nExample:\n\n\n\nPyThaiNLP"
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"# Dataset Card for \"thai-wiktionary-prompt\"\n\nThis dataset made to create prompt for get the meaning of word.\n\nDataset from Thai wiktionary.",
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8147c8ffe2f6c5253a99a0d62d616787ddeb8a7d | # Dataset Card for "GPTProteinPretrained"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lamm-mit/GPTProteinPretrained | [
"region:us"
] | 2023-12-04T13:48:11+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 266893442, "num_examples": 772027}], "download_size": 257822249, "dataset_size": 266893442}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-04T13:48:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTProteinPretrained"
More Information needed | [
"# Dataset Card for \"GPTProteinPretrained\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"GPTProteinPretrained\"\n\nMore Information needed"
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d9b5531544523f29d365a77a007b2ace3cea6882 |
# Aerial Image Dataset (AID)

## Description
The Aerial Image Dataset (AID) is a scene classification dataset consisting of 10,000 RGB images, each with a resolution of 600x600 pixels. These images have been extracted using [Google Earth](https://earth.google.com/web/) and cover various scene... | blanchon/AID | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"region:us"
] | 2023-12-04T13:57:13+00:00 | {"language": ["en"], "license": ["unknown"], "size_categories": ["1K<n<10K"], "task_categories": ["image-classification"], "pretty_name": "Aerial Image Dataset (AID)", "tags": ["remote-sensing", "earth-observation", "geospatial", "satellite-imagery"]} | 2023-12-04T13:58:07+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-English #license-unknown #remote-sensing #earth-observation #geospatial #satellite-imagery #region-us
|
# Aerial Image Dataset (AID)
!AID
## Description
The Aerial Image Dataset (AID) is a scene classification dataset consisting of 10,000 RGB images, each with a resolution of 600x600 pixels. These images have been extracted using Google Earth and cover various scenes from regions and countries around the world. AID c... | [
"# Aerial Image Dataset (AID)\n\n!AID",
"## Description\n\nThe Aerial Image Dataset (AID) is a scene classification dataset consisting of 10,000 RGB images, each with a resolution of 600x600 pixels. These images have been extracted using Google Earth and cover various scenes from regions and countries around the ... | [
"TAGS\n#task_categories-image-classification #size_categories-1K<n<10K #language-English #license-unknown #remote-sensing #earth-observation #geospatial #satellite-imagery #region-us \n",
"# Aerial Image Dataset (AID)\n\n!AID",
"## Description\n\nThe Aerial Image Dataset (AID) is a scene classification dataset ... | [
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"passage: TAGS\n#task_categories-image-classification #size_categories-1K<n<10K #language-English #license-unknown #remote-sensing #earth-observation #geospatial #satellite-imagery #region-us \n# Aerial Image Dataset (AID)\n\n!AID## Description\n\nThe Aerial Image Dataset (AID) is a scene classification dataset con... |
921e207ea6aa26e9366fd200725a98b0067f9d6b |
# ETCI 2021 Flood Detection Dataset

## Description
The [ETCI 2021 Flood Detection Dataset](https://nasa-impact.github.io/etci2021/) is a comprehensive flood detection segmentation dataset that focuses on SAR (Synthetic Aperture Radar) images taken by the [ESA Sentinel-1... | blanchon/ETCI-2021-Flood-Detection | [
"task_categories:image-segmentation",
"size_categories:1M<n<10M",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"flood-detection",
"sar-images",
"sentinel-1",
"region:us"
] | 2023-12-04T14:07:18+00:00 | {"language": ["en"], "license": ["unknown"], "size_categories": ["1M<n<10M"], "task_categories": ["image-segmentation"], "pretty_name": "ETCI 2021 Flood Detection Dataset", "tags": ["remote-sensing", "earth-observation", "geospatial", "satellite-imagery", "flood-detection", "sar-images", "sentinel-1"]} | 2023-12-04T14:10:14+00:00 | [] | [
"en"
] | TAGS
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|
# ETCI 2021 Flood Detection Dataset
!ETCI 2021 Flood Detection
## Description
The ETCI 2021 Flood Detection Dataset is a comprehensive flood detection segmentation dataset that focuses on SAR (Synthetic Aperture Radar) images taken by the ESA Sentinel-1 satellite. This dataset provides pairs of VV (Vertical Transmi... | [
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3c412e84b75637887a7ab3bc4d9cf966ebc24b1c | # Dataset Card for "text-classification-subject"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dumyy/text-classification-subject | [
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10bcb2d6c9895db2f072f97058c4cd1e33c8f182 | # Dataset Card for "train-indo-squad-v2-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | peterandrew987/train-indo-squad-v2-test | [
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# FAIR1M
<!-- Dataset thumbnail -->

<!-- Provide a quick summary of the dataset. -->
The FAIR1M dataset is a fine-grained object recognition and detection dataset that focuses on high-resolution (0.3-0.8m) RGB images taken by the Gaogen (GF) satellites and extracted from Google Earth. It c... | blanchon/FAIR1M | [
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# FAIR1M
!FAIR1M
The FAIR1M dataset is a fine-grained object recognition and detection dataset that focuses on high-resolution (0.3-0.8m) RGB images taken by the Gaogen (GF) satellites and extracted from Google Earth. It consists of a collection of 15,000 high-resolution images that cover various objects and scene... | [
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894a80979aadeabf16ce408d0db7f6bd0dddfb1c | # Dataset Card for "token-classification-brand"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dumyy/token-classification-brand | [
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# Remote Sensing Image Scene Classification (RESISC45) Dataset
- **Paper** [Remote Sensing Image Scene Classification: Benchmark and State of the Art
](https://arxiv.org/pdf/1703.00121.pdf)
- **Paper with code**: [RESISC45](https://paperswithcode.com/dataset/resisc45)

## Description
Th... | blanchon/RESISC45 | [
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# Remote Sensing Image Scene Classification (RESISC45) Dataset
- Paper Remote Sensing Image Scene Classification: Benchmark and State of the Art
- Paper with code: RESISC45
!RESISC45
## Description
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# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-40b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/AI-Sweden-Models/gpt-sw3-40b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
#... | open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-40b | [
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# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-40b
## Dataset Description
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# Dataset Card for Evaluation run of deepseek-ai/deepseek-coder-1.3b-instruct
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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a89037e45136ae407e6f670c026eb840b182b12e | # Dataset Card for Control-CelebA-HQ
## Overview
**Dataset Name**: Control-CelebA-HQ
**Description**: An enhanced version of the CelebA-HQ dataset, Control-CelebA-HQ is specifically designed for evaluating the controlling ability of controllable generative models. This dataset is featured in the NeurIPS 2023 work ti... | oftverse/control-celeba-hq | [
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| # Dataset Card for Control-CelebA-HQ
## Overview
Dataset Name: Control-CelebA-HQ
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# RSSCN7

## Description
The RSSCN7 dataset is designed for scene classification tasks and provides a collection of high-resolution RGB images. This dataset comprises a total of 2,800 images, each with a resolution of 400x400 pixels. The images are extracted from [Google Earth](https://ear... | blanchon/RSSCN7 | [
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# RSSCN7
!RSSCN7
## Description
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601cafc569e74ceb41c12aae4ea64806dd933b61 | # Dataset Card
This dataset is a subset from Kaggle's The Movie Dataset that contains only name, release year and overview for some movies from the original dataset.
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b8f239deca71140cee088d806ef50c0ed66b2b4f | # Dataset Card for "ai-generated-text-classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ziq/ai-generated-text-classification | [
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# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point o... | open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan | [
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# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
## Dataset Description
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e95d34a64be6885cb5a751cf28e3445859d9d492 | # Dataset Card for "t5_small_test_set_context_len_64"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yardeny/t5_small_test_set_context_len_64 | [
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#region-us
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# Dataset Card for Evaluation run of Intel/neural-chat-7b-v3-2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Intel/neural-chat-7b-v3-2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dat... | open-llm-leaderboard/details_Intel__neural-chat-7b-v3-2 | [
"region:us"
] | 2023-12-04T15:56:23+00:00 | {"pretty_name": "Evaluation run of Intel/neural-chat-7b-v3-2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Intel/neural-chat-7b-v3-2](https://huggingface.co/Intel/neural-chat-7b-v3-2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard... | 2023-12-04T15:57:06+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Intel/neural-chat-7b-v3-2
## Dataset Description
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### Dataset Summary
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# Dataset Card for Evaluation run of Weyaxi/zephyr-alpha-Nebula-v2-7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Weyaxi/zephyr-alpha-Nebula-v2-7B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@... | open-llm-leaderboard/details_Weyaxi__zephyr-alpha-Nebula-v2-7B | [
"region:us"
] | 2023-12-04T16:00:23+00:00 | {"pretty_name": "Evaluation run of Weyaxi/zephyr-alpha-Nebula-v2-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/zephyr-alpha-Nebula-v2-7B](https://huggingface.co/Weyaxi/zephyr-alpha-Nebula-v2-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2023-12-04T16:01:09+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Weyaxi/zephyr-alpha-Nebula-v2-7B
## Dataset Description
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- Point of Contact: clementine@URL
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# Dataset Card for Evaluation run of uukuguy/speechless-tools-7b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/uukuguy/speechless-tools-7b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
###... | open-llm-leaderboard/details_uukuguy__speechless-tools-7b | [
"region:us"
] | 2023-12-04T16:02:01+00:00 | {"pretty_name": "Evaluation run of uukuguy/speechless-tools-7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [uukuguy/speechless-tools-7b](https://huggingface.co/uukuguy/speechless-tools-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2023-12-04T16:02:50+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of uukuguy/speechless-tools-7b
## Dataset Description
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# Dataset Card for Evaluation run of uukuguy/zephyr-7b-alpha-dare-0.85
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/uukuguy/zephyr-7b-alpha-dare-0.85
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementin... | open-llm-leaderboard/details_uukuguy__zephyr-7b-alpha-dare-0.85 | [
"region:us"
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# Dataset Card for Evaluation run of uukuguy/zephyr-7b-alpha-dare-0.85
## Dataset Description
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- Point of Contact: clementine@URL
### Dataset Summary
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46fafac5826a6f695a1046ec75bb220120777ecb |
This is a compilation of the following datasets
- FredZhang7/stable-diffusion-prompts-2.47M
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- recastai/LAION-art-EN-improved-captions
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```python
# Filter... | nreHieW/SD-Prompts | [
"license:apache-2.0",
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This is a compilation of the following datasets
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# Dataset Card for Evaluation run of chinoll/Yi-6b-200k-dpo
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/chinoll/Yi-6b-200k-dpo
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset S... | open-llm-leaderboard/details_chinoll__Yi-6b-200k-dpo | [
"region:us"
] | 2023-12-04T16:13:00+00:00 | {"pretty_name": "Evaluation run of chinoll/Yi-6b-200k-dpo", "dataset_summary": "Dataset automatically created during the evaluation run of model [chinoll/Yi-6b-200k-dpo](https://huggingface.co/chinoll/Yi-6b-200k-dpo) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2023-12-04T16:13:47+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of chinoll/Yi-6b-200k-dpo
## Dataset Description
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### Dataset Summary
Dataset automatically created during the evaluation run of model chinoll/Yi-6b-200k-dpo on the Open LLM Leaderboard.
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# Dataset Card for Evaluation run of chinoll/Yi-7b-dpo
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/chinoll/Yi-7b-dpo
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Da... | open-llm-leaderboard/details_chinoll__Yi-7b-dpo | [
"region:us"
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# Dataset Card for Evaluation run of chinoll/Yi-7b-dpo
## Dataset Description
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### Dataset Summary
Dataset automatically created during the evaluation run of model chinoll/Yi-7b-dpo on the Open LLM Leaderboard.
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# Dataset Card for Evaluation run of fblgit/una-cybertron-7b-v1-fp16
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/fblgit/una-cybertron-7b-v1-fp16
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf... | open-llm-leaderboard/details_fblgit__una-cybertron-7b-v1-fp16 | [
"region:us"
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# Dataset Card for Evaluation run of fblgit/una-cybertron-7b-v1-fp16
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# Dataset Card for Evaluation run of xxyyy123/Mistral7B_adaptor_v1
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/xxyyy123/Mistral7B_adaptor_v1
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
... | open-llm-leaderboard/details_xxyyy123__Mistral7B_adaptor_v1 | [
"region:us"
] | 2023-12-04T16:27:12+00:00 | {"pretty_name": "Evaluation run of xxyyy123/Mistral7B_adaptor_v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [xxyyy123/Mistral7B_adaptor_v1](https://huggingface.co/xxyyy123/Mistral7B_adaptor_v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2023-12-04T16:27:57+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of xxyyy123/Mistral7B_adaptor_v1
## Dataset Description
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- Point of Contact: clementine@URL
### Dataset Summary
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# Dataset Card for Evaluation run of fblgit/una-cybertron-7b-v2-bf16
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf... | open-llm-leaderboard/details_fblgit__una-cybertron-7b-v2-bf16 | [
"region:us"
] | 2023-12-04T16:31:29+00:00 | {"pretty_name": "Evaluation run of fblgit/una-cybertron-7b-v2-bf16", "dataset_summary": "Dataset automatically created during the evaluation run of model [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2023-12-04T16:32:16+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of fblgit/una-cybertron-7b-v2-bf16
## Dataset Description
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- Point of Contact: clementine@URL
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# Dataset Card for Evaluation run of NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v3
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v3
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_l... | open-llm-leaderboard/details_NickyNicky__Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v3 | [
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] | 2023-12-04T16:35:27+00:00 | {"pretty_name": "Evaluation run of NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v3", "dataset_summary": "Dataset automatically created during the evaluation run of model [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v3](https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v3) on t... | 2023-12-04T16:36:14+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v3
## Dataset Description
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- Point of Contact: clementine@URL
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Downloaded Nov 25th 2023 from ZINC-20 (https://zinc20.docking.org/).
Contains the unique canonicalized SMILES molecules, done with RDKit.
Used this filtering criteria in the ZINC-20 tranches:
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Distribution of tokenized SMILES seque... | Pixelatory/ZINC20-Druglike | [
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Downloaded Nov 25th 2023 from ZINC-20 (URL
Contains the unique canonicalized SMILES molecules, done with RDKit.
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da10aae44140ac618c9cfcd96572555f6797a4d1 | # Dataset Card
This dataset is a subset from Kaggle's The Movie Dataset that contains only name, release year and overview for every film in the original dataset that has that information complete.
It is intended as a toy dataset for learning about embeddings in a workshop from the AI Service Center Berlin-Brandenburg... | mt0rm0/movie_descriptors | [
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| # Dataset Card
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# Dataset Card for Evaluation run of uukuguy/Orca-2-13b-f16
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/uukuguy/Orca-2-13b-f16
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset S... | open-llm-leaderboard/details_uukuguy__Orca-2-13b-f16 | [
"region:us"
] | 2023-12-04T16:46:06+00:00 | {"pretty_name": "Evaluation run of uukuguy/Orca-2-13b-f16", "dataset_summary": "Dataset automatically created during the evaluation run of model [uukuguy/Orca-2-13b-f16](https://huggingface.co/uukuguy/Orca-2-13b-f16) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2023-12-04T16:46:56+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of uukuguy/Orca-2-13b-f16
## Dataset Description
- Homepage:
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- Paper:
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- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model uukuguy/Orca-2-13b-f16 on the Open LLM Leaderboard.
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f628ebf24eed548e31715cfc192f4c067b095504 | # Dataset Card for "test2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mariosasko/test2 | [
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] | 2023-12-04T16:47:15+00:00 | {"dataset_info": {"features": [{"name": "a", "dtype": "int64"}, {"name": "b", "dtype": "string"}, {"name": "c", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 49, "num_examples": 3}], "download_size": 1536, "dataset_size": 49}} | 2023-12-04T16:47:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test2"
More Information needed | [
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49c431b160c868230ed47858bbeaa72df8420d1e |
# Dataset Card for Evaluation run of KnutJaegersberg/CausalLM-Platypus-14B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/KnutJaegersberg/CausalLM-Platypus-14B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** c... | open-llm-leaderboard/details_KnutJaegersberg__CausalLM-Platypus-14B | [
"region:us"
] | 2023-12-04T16:54:36+00:00 | {"pretty_name": "Evaluation run of KnutJaegersberg/CausalLM-Platypus-14B", "dataset_summary": "Dataset automatically created during the evaluation run of model [KnutJaegersberg/CausalLM-Platypus-14B](https://huggingface.co/KnutJaegersberg/CausalLM-Platypus-14B) on the [Open LLM Leaderboard](https://huggingface.co/space... | 2023-12-04T16:55:20+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of KnutJaegersberg/CausalLM-Platypus-14B
## Dataset Description
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1f6ded7561761c9a54f4b82c7d549b3cc9a18420 | # Dataset Card for "WMT-month-splits"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | KaiNylund/WMT-month-splits | [
"license:cc0-1.0",
"region:us"
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92a53df4732e6ed4631691a6fbad4e0ffb0763a0 |
# Dataset Card for Evaluation run of vmajor/Orca2-13B-selfmerge-26B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/vmajor/Orca2-13B-selfmerge-26B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.c... | open-llm-leaderboard/details_vmajor__Orca2-13B-selfmerge-26B | [
"region:us"
] | 2023-12-04T16:59:19+00:00 | {"pretty_name": "Evaluation run of vmajor/Orca2-13B-selfmerge-26B", "dataset_summary": "Dataset automatically created during the evaluation run of model [vmajor/Orca2-13B-selfmerge-26B](https://huggingface.co/vmajor/Orca2-13B-selfmerge-26B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-04T17:00:01+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of vmajor/Orca2-13B-selfmerge-26B
## Dataset Description
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### Dataset Summary
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913d03af0a57969a793d26780731364224e618b3 | # 音频数据集
## 制作:[Xz乔希](https://space.bilibili.com/5859321)
## 注意
1、数据集均取自对应人物视频切片,声音版权归属于对应人物,早期质量一坨的就没上传;
2、音频仅进行分离人声及自动切片,未进行精选,请下载进行抽选试听后再考虑是否使用(弃用音频在手工标注时进行了跳过);
3、手工标注文件随机掉落(手工标注无法保证每一句都标的很标准,可以自行检查);
4、请在法律允许范围内进行测试使用!使用本数据集产生问题请自行承担!
| XzJosh/audiodataset | [
"region:us"
] | 2023-12-04T17:01:55+00:00 | {} | 2024-01-29T15:05:22+00:00 | [] | [] | TAGS
#region-us
| # 音频数据集
## 制作:Xz乔希
## 注意
1、数据集均取自对应人物视频切片,声音版权归属于对应人物,早期质量一坨的就没上传;
2、音频仅进行分离人声及自动切片,未进行精选,请下载进行抽选试听后再考虑是否使用(弃用音频在手工标注时进行了跳过);
3、手工标注文件随机掉落(手工标注无法保证每一句都标的很标准,可以自行检查);
4、请在法律允许范围内进行测试使用!使用本数据集产生问题请自行承担!
| [
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"## 注意\n1、数据集均取自对应人物视频切片,声音版权归属于对应人物,早期质量一坨的就没上传;\n\n2、音频仅进行分离人声及自动切片,未进行精选,请下载进行抽选试听后再考虑是否使用(弃用音频在手工标注时进行了跳过);\n\n3、手工标注文件随机掉落(手工标注无法保证每一句都标的很标准,可以自行检查);\n\n4、请在法律允许范围内进行测试使用!使用本数据集产生问题请自行承担!"
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"passage: TAGS\n#region-us \n# 音频数据集## 制作:Xz乔希## 注意\n1、数据集均取自对应人物视频切片,声音版权归属于对应人物,早期质量一坨的就没上传;\n\n2、音频仅进行分离人声及自动切片,未进行精选,请下载进行抽选试听后再考虑是否使用(弃用音频在手工标注时进行了跳过);\n\n3、手工标注文件随机掉落(手工标注无法保证每一句都标的很标准,可以自行检查);\n\n4、请在法律允许范围内进行测试使用!使用本数据集产生问题请自行承担!"
] |
db53e3ab9e242ca4449c0a9bd1f0cb6ba1da5fa8 | # Corpus
This dataset is built from Magicdata [ASR-CCHSHDIACSC: A CHINESE CHANGSHA DIALECT CONVERSATIONAL SPEECH CORPUS](https://magichub.com/datasets/changsha-dialect-conversational-speech-corpus/)
This corpus is licensed under a [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](ht... | TingChen-ppmc/Changsha_Dialect_Conversational_Speech_Corpus | [
"region:us"
] | 2023-12-04T17:02:15+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "gender", "dtype": "string"}, {"name": "speaker_id", "dtype": "string"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 223664136.256, "num_examples": 1488}], "download_size": 215320750, "dataset_size"... | 2023-12-20T15:49:23+00:00 | [] | [] | TAGS
#region-us
| # Corpus
This dataset is built from Magicdata ASR-CCHSHDIACSC: A CHINESE CHANGSHA DIALECT CONVERSATIONAL SPEECH CORPUS
This corpus is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Please refer to the license for further information.
Modifications: The audio is s... | [
"# Corpus\n\nThis dataset is built from Magicdata ASR-CCHSHDIACSC: A CHINESE CHANGSHA DIALECT CONVERSATIONAL SPEECH CORPUS\n\nThis corpus is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Please refer to the license for further information.\n\nModifications: The... | [
"TAGS\n#region-us \n",
"# Corpus\n\nThis dataset is built from Magicdata ASR-CCHSHDIACSC: A CHINESE CHANGSHA DIALECT CONVERSATIONAL SPEECH CORPUS\n\nThis corpus is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Please refer to the license for further informati... | [
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"passage: TAGS\n#region-us \n# Corpus\n\nThis dataset is built from Magicdata ASR-CCHSHDIACSC: A CHINESE CHANGSHA DIALECT CONVERSATIONAL SPEECH CORPUS\n\nThis corpus is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Please refer to the license for further inform... |
7fc209523ae1d18cf7552c06de04044f9437d86e |
# Dataset Card for Evaluation run of vmajor/Orca2-13B-selfmerge-39B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/vmajor/Orca2-13B-selfmerge-39B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.c... | open-llm-leaderboard/details_vmajor__Orca2-13B-selfmerge-39B | [
"region:us"
] | 2023-12-04T17:03:31+00:00 | {"pretty_name": "Evaluation run of vmajor/Orca2-13B-selfmerge-39B", "dataset_summary": "Dataset automatically created during the evaluation run of model [vmajor/Orca2-13B-selfmerge-39B](https://huggingface.co/vmajor/Orca2-13B-selfmerge-39B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2023-12-04T17:04:15+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of vmajor/Orca2-13B-selfmerge-39B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model vmajor/Orca2-13B-selfmerge-39B on the Open L... | [
"# Dataset Card for Evaluation run of vmajor/Orca2-13B-selfmerge-39B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model vmajor/Orca2-13B-selfmer... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of vmajor/Orca2-13B-selfmerge-39B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
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42581b1f992aa3aa2875e8a9a6039a3b170d22f0 |
# Dataset Card for Evaluation run of KnutJaegersberg/Galpaca-30b-MiniOrca
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/KnutJaegersberg/Galpaca-30b-MiniOrca
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** cle... | open-llm-leaderboard/details_KnutJaegersberg__Galpaca-30b-MiniOrca | [
"region:us"
] | 2023-12-04T17:06:08+00:00 | {"pretty_name": "Evaluation run of KnutJaegersberg/Galpaca-30b-MiniOrca", "dataset_summary": "Dataset automatically created during the evaluation run of model [KnutJaegersberg/Galpaca-30b-MiniOrca](https://huggingface.co/KnutJaegersberg/Galpaca-30b-MiniOrca) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-12-04T17:07:00+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of KnutJaegersberg/Galpaca-30b-MiniOrca
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model KnutJaegersberg/Galpaca-30b-MiniOrca o... | [
"# Dataset Card for Evaluation run of KnutJaegersberg/Galpaca-30b-MiniOrca",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model KnutJaegersberg/Ga... | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of KnutJaegersberg/Galpaca-30b-MiniOrca## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL### Dataset Summary\n\nDataset automatically created during the evaluation run of model Kn... |
b7317c9f7a6ef08a84a5de2d4a15df9b44c19c5d |
# Dataset Card for Evaluation run of Ba2han/HermesStar-OrcaWind-Synth-11B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Ba2han/HermesStar-OrcaWind-Synth-11B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** cle... | open-llm-leaderboard/details_Ba2han__HermesStar-OrcaWind-Synth-11B | [
"region:us"
] | 2023-12-04T17:10:02+00:00 | {"pretty_name": "Evaluation run of Ba2han/HermesStar-OrcaWind-Synth-11B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Ba2han/HermesStar-OrcaWind-Synth-11B](https://huggingface.co/Ba2han/HermesStar-OrcaWind-Synth-11B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2023-12-04T17:10:47+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Ba2han/HermesStar-OrcaWind-Synth-11B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model Ba2han/HermesStar-OrcaWind-Synth-11B o... | [
"# Dataset Card for Evaluation run of Ba2han/HermesStar-OrcaWind-Synth-11B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model Ba2han/HermesStar-... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of Ba2han/HermesStar-OrcaWind-Synth-11B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
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