sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d1140e25cb2557e5503c7c766e2f78da5b084dd3 |
Windowsの方は[ggml-japanese-gpt2](https://github.com/thx-pw/ggml/releases)の実行ファイルで動くと思います。
同じファイル名のggml形式のbinとSentencePiece形式のmodelをダウンロードして保存してください。
使い方は以下のようになります。
```
gpt-2.exe -m ggml-model-japanese-gpt2-medium-f16.bin -p "こんにちは"
```
`ggml-model-japanese-gpt2-xsmall`のファイル形式がおかしくなっているので、ダウンロードしても動きません。
あとで修正します。
| inu-ai/ggml-japanese-gpt2 | [
"language:ja",
"license:mit",
"region:us"
] | 2023-04-14T09:51:10+00:00 | {"language": ["ja"], "license": "mit"} | 2023-04-14T17:11:40+00:00 | [] | [
"ja"
] | TAGS
#language-Japanese #license-mit #region-us
|
Windowsの方はggml-japanese-gpt2の実行ファイルで動くと思います。
同じファイル名のggml形式のbinとSentencePiece形式のmodelをダウンロードして保存してください。
使い方は以下のようになります。
'ggml-model-japanese-gpt2-xsmall'のファイル形式がおかしくなっているので、ダウンロードしても動きません。
あとで修正します。
| [] | [
"TAGS\n#language-Japanese #license-mit #region-us \n"
] | [
17
] | [
"passage: TAGS\n#language-Japanese #license-mit #region-us \n"
] |
21724fafe6793c9fa62dcf844cd11762f3ccabb8 | # AutoTrain Dataset for project: beproj_meeting_summarization_usingt5
## Dataset Description
This dataset has been automatically processed by AutoTrain for project beproj_meeting_summarization_usingt5.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sampl... | ishajo/autotrain-data-beproj_meeting_summarization_usingt5 | [
"task_categories:summarization",
"language:en",
"region:us"
] | 2023-04-14T09:57:03+00:00 | {"language": ["en"], "task_categories": ["summarization"]} | 2023-04-14T09:59:49+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #language-English #region-us
| AutoTrain Dataset for project: beproj\_meeting\_summarization\_usingt5
======================================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project beproj\_meeting\_summarization\_usingt5.
### Languages
The ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#task_categories-summarization #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the followi... | [
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ca947c50163da32281216ebe1cf081f9c352406b | Vector store of embeddings for CFA Level 1 Curriculum
This is a faiss vector store created with Sentence Transformer embeddings using LangChain . Use it for similarity search, question answering or anything else that leverages embeddings! 😃
Creating these embeddings can take a while so here's a convenient, downloada... | nickmuchi/CFA_Level_1_Text_Embeddings | [
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:conversational",
"task_categories:sentence-similarity",
"language:en",
"license:apache-2.0",
"faiss",
"langchain",
"instructor embeddings",
"vector stores",
"LLM",
"region:us"
] | 2023-04-14T10:26:21+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["question-answering", "summarization", "conversational", "sentence-similarity"], "pretty_name": "FAISS Vector Store of Embeddings of the Chartered Financial Analysts Level 1 Curriculum", "tags": ["faiss", "langchain", "instructor embeddings", "vector sto... | 2023-04-14T10:47:20+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-summarization #task_categories-conversational #task_categories-sentence-similarity #language-English #license-apache-2.0 #faiss #langchain #instructor embeddings #vector stores #LLM #region-us
| Vector store of embeddings for CFA Level 1 Curriculum
This is a faiss vector store created with Sentence Transformer embeddings using LangChain . Use it for similarity search, question answering or anything else that leverages embeddings!
Creating these embeddings can take a while so here's a convenient, downloadabl... | [
"# download the vectorstore for the book you want",
"# get path to the 'vectorstore' folder that you just downloaded",
"# we'll look inside the 'cache_dir' for the folder we want",
"# Walk through the directory tree recursively",
"# load embeddings",
"# this is what was used to create embeddings for the t... | [
"TAGS\n#task_categories-question-answering #task_categories-summarization #task_categories-conversational #task_categories-sentence-similarity #language-English #license-apache-2.0 #faiss #langchain #instructor embeddings #vector stores #LLM #region-us \n",
"# download the vectorstore for the book you want",
"#... | [
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362ac0a54642ecb5728e700e9e1dbbed4f459c9c | # Dataset Card for "processed_pubmed_scientific_papers"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JYumeko/processed_pubmed_scientific_papers | [
"region:us"
] | 2023-04-14T10:26:43+00:00 | {"dataset_info": {"features": [{"name": "abstract", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1713154010, "num_examples": 119924}, {"name": "validation", "num_bytes": 96932057, "num_examples": 6633}, {"name": "test", "num_bytes": 96752765, "num_examples": 665... | 2023-04-14T10:30:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_pubmed_scientific_papers"
More Information needed | [
"# Dataset Card for \"processed_pubmed_scientific_papers\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"processed_pubmed_scientific_papers\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"processed_pubmed_scientific_papers\"\n\nMore Information needed"
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120b4b160e5cd041f1157e553a9f18a33806d0f9 | # Dataset Card for "chunk_257"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_257 | [
"region:us"
] | 2023-04-14T10:36:04+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 20717169408.0, "num_examples": 215696}], "download_size": 18802186566, "dataset_size": 20717169408.0}} | 2023-04-14T10:53:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_257"
More Information needed | [
"# Dataset Card for \"chunk_257\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"chunk_257\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"chunk_257\"\n\nMore Information needed"
] |
f32ffe9f47bbe0e72cab9e6faf6aa98121d548c8 | # Shuttle
The [Shuttle dataset](https://archive-beta.ics.uci.edu/dataset/146/statlog+shuttle+satellite) from the [UCI repository](https://archive-beta.ics.uci.edu/).
# Configurations and tasks
| **Configuration** | **Task** | **Description** |
|-----------------------|---------------------... | mstz/shuttle | [
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"shuttle",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | 2023-04-14T11:03:39+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["10K<n<100K"], "task_categories": ["tabular-classification"], "pretty_name": "Shuttle", "tags": ["shuttle", "tabular_classification", "binary_classification", "multiclass_classification", "UCI"], "configs": ["shuttle", "shuttle_binary"]} | 2023-04-16T16:58:41+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc #shuttle #tabular_classification #binary_classification #multiclass_classification #UCI #region-us
| Shuttle
=======
The Shuttle dataset from the UCI repository.
Configurations and tasks
========================
Configuration: shuttle, Task: Multiclass classification., Description:
Configuration: shuttle\_0, Task: Binary classification., Description: Is the image of class 0?
Configuration: shuttle\_1, Task: Bin... | [] | [
"TAGS\n#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc #shuttle #tabular_classification #binary_classification #multiclass_classification #UCI #region-us \n"
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] |
e653eeaf1e8b6a3280469d1de6612886669605a9 | # Dataset Card for "chunk_247"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_247 | [
"region:us"
] | 2023-04-14T11:17:48+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 15218325360.375, "num_examples": 158445}], "download_size": 13050596541, "dataset_size": 15218325360.375}} | 2023-04-14T11:36:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_247"
More Information needed | [
"# Dataset Card for \"chunk_247\"\n\nMore Information needed"
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c766e6943b44bf27432a595c0a226e5c50c5405d | # Human-vs-Machine
This is a dataset collection created in relation to a bachelor thesis written by Nicolai Thorer Sivesind and Andreas Bentzen Winje. It contains human-produced and machine-generated text samples from two domains: Wikipedia introducions and Scientific research abstracts.
Each of the two domains are a... | NicolaiSivesind/human-vs-machine | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:en",
"license:cc",
"chatgpt",
"gpt",
"research abstracts",
"wikipedia introductions",
"region:us"
] | 2023-04-14T11:24:29+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "pretty_name": "Human vs Machine - Labled text segments produced by humans and LLMs", "tags": ["chatgpt", "gpt", "research abstracts", "wikipedia introductions"]} | 2023-05-11T12:03:54+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-English #license-cc #chatgpt #gpt #research abstracts #wikipedia introductions #region-us
| # Human-vs-Machine
This is a dataset collection created in relation to a bachelor thesis written by Nicolai Thorer Sivesind and Andreas Bentzen Winje. It contains human-produced and machine-generated text samples from two domains: Wikipedia introducions and Scientific research abstracts.
Each of the two domains are a... | [
"# Human-vs-Machine\nThis is a dataset collection created in relation to a bachelor thesis written by Nicolai Thorer Sivesind and Andreas Bentzen Winje. It contains human-produced and machine-generated text samples from two domains: Wikipedia introducions and Scientific research abstracts. \n\nEach of the two domai... | [
"TAGS\n#task_categories-text-classification #size_categories-100K<n<1M #language-English #license-cc #chatgpt #gpt #research abstracts #wikipedia introductions #region-us \n",
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ff323b592a1edb847e5c8979f86c419c7311f312 | # Dataset Card for "chunk_255"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_255 | [
"region:us"
] | 2023-04-14T11:55:36+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 17459797536.25, "num_examples": 181782}], "download_size": 14918899973, "dataset_size": 17459797536.25}} | 2023-04-14T12:17:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_255"
More Information needed | [
"# Dataset Card for \"chunk_255\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"chunk_255\"\n\nMore Information needed"
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6fae26975634d298ab926f81583fc7f193f6be38 | # Dataset Card for "chunk_256"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_256 | [
"region:us"
] | 2023-04-14T12:09:35+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 16750098864.875, "num_examples": 174393}], "download_size": 14215175625, "dataset_size": 16750098864.875}} | 2023-04-14T12:32:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_256"
More Information needed | [
"# Dataset Card for \"chunk_256\"\n\nMore Information needed"
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01bf3e707bfcd1601ac9722b60536df606aab38a |
This dataset was created by translating "databricks-dolly-15k.jsonl" into Urdu. It is licensed under CC BY 3.0.
.اس ڈیٹا سیٹ کو "ڈیٹابرکس-ڈولی" کو اردو میں ترجمہ کرکے تیار کیا گیا تھا
databricks-dolly-15k https://github.com/databrickslabs/dolly/tree/master/data | aaqibsaeed/databricks-dolly-15k-ur | [
"license:cc-by-3.0",
"region:us"
] | 2023-04-14T12:13:53+00:00 | {"license": "cc-by-3.0"} | 2023-04-14T12:24:03+00:00 | [] | [] | TAGS
#license-cc-by-3.0 #region-us
|
This dataset was created by translating "URL" into Urdu. It is licensed under CC BY 3.0.
.اس ڈیٹا سیٹ کو "ڈیٹابرکس-ڈولی" کو اردو میں ترجمہ کرکے تیار کیا گیا تھا
databricks-dolly-15k URL | [] | [
"TAGS\n#license-cc-by-3.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-3.0 #region-us \n"
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c0b1111933a7b87bef0e5b3221d8e5f76b5ac27c |
# Symbolic Instruction Tuning
This is the offical repo to host the datasets used in the paper [From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning](https://arxiv.org/abs/2304.07995). The training code can be found in [here](https://github.com/sail-sg/symbolic-instruction-tuning).
| sail/symbolic-instruction-tuning | [
"license:mit",
"arxiv:2304.07995",
"region:us"
] | 2023-04-14T12:25:45+00:00 | {"license": "mit"} | 2023-07-19T06:53:13+00:00 | [
"2304.07995"
] | [] | TAGS
#license-mit #arxiv-2304.07995 #region-us
|
# Symbolic Instruction Tuning
This is the offical repo to host the datasets used in the paper From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning. The training code can be found in here.
| [
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] |
5cdeb6a737bcb9928546ff2aac035f92ac5e32c4 | ### Dataset Summary
First 10k rows of the scientific_papers["pubmed"] dataset. 8:1:1 split (10000:1250:1250).
### Usage
```
from datasets import load_dataset
train_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="train")
val_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="validation")
test_datase... | ronitHF/pubmed-10k-8.1.1 | [
"task_categories:summarization",
"size_categories:1K<n<10K",
"region:us"
] | 2023-04-14T13:07:00+00:00 | {"size_categories": ["1K<n<10K"], "task_categories": ["summarization"], "pretty_name": "PubMed 10k (8:1:1)"} | 2023-04-16T17:34:21+00:00 | [] | [] | TAGS
#task_categories-summarization #size_categories-1K<n<10K #region-us
| ### Dataset Summary
First 10k rows of the scientific_papers["pubmed"] dataset. 8:1:1 split (10000:1250:1250).
### Usage
| [
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] |
532411c5bc01809928045c05a72f38708757fc00 | # Dataset Card for "dolly-15k"
# Summary
This is the dataset supplied by Databricks for training Dolly V2. This set is split 99% training / 1% validation, should you want to set aside some records for evaluation purposes.
## Special thanks to ❤️ Databricks for creating and making this set available.
[More Informati... | treadon/dolly-15k | [
"license:cc-by-3.0",
"region:us"
] | 2023-04-14T13:41:15+00:00 | {"license": "cc-by-3.0", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "category", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12208856, "num_examples": 14863}, {"name": "validation",... | 2023-04-14T13:46:03+00:00 | [] | [] | TAGS
#license-cc-by-3.0 #region-us
| # Dataset Card for "dolly-15k"
# Summary
This is the dataset supplied by Databricks for training Dolly V2. This set is split 99% training / 1% validation, should you want to set aside some records for evaluation purposes.
## Special thanks to ️ Databricks for creating and making this set available.
More Information... | [
"# Dataset Card for \"dolly-15k\"",
"# Summary\nThis is the dataset supplied by Databricks for training Dolly V2. This set is split 99% training / 1% validation, should you want to set aside some records for evaluation purposes.",
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b0980525e526ded1e6266dc1ab024ede622587eb | # Dataset Card for "SheepsNoise"
2m_random_10K images from [diffusiondb](https://huggingface.co/datasets/poloclub/diffusiondb). | GreeneryScenery/SheepsNoise | [
"region:us"
] | 2023-04-14T14:20:18+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conditioning_image", "dtype": "image"}, {"name": "noise_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 11878529113.375, "num_examples": 32719}], "download_size": 11857203329, "data... | 2023-04-14T15:26:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SheepsNoise"
2m_random_10K images from diffusiondb. | [
"# Dataset Card for \"SheepsNoise\"\n\n2m_random_10K images from diffusiondb."
] | [
"TAGS\n#region-us \n",
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380dce0daf1616518704821336ec9315b9c6afbf | # Dataset Card for "chunk_260"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_260 | [
"region:us"
] | 2023-04-14T14:20:18+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 17212089744.625, "num_examples": 179203}], "download_size": 14604590618, "dataset_size": 17212089744.625}} | 2023-04-14T14:31:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_260"
More Information needed | [
"# Dataset Card for \"chunk_260\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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e1b86cc08d74bdeaa56202422f6c216d55e7b4a6 | # Dataset Card for "path-naturalness-prediction"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | metaeval/path-naturalness-prediction | [
"region:us"
] | 2023-04-14T14:25:36+00:00 | {"dataset_info": {"features": [{"name": "choice1", "dtype": "string"}, {"name": "choice2", "dtype": "string"}, {"name": "choice1-triplet", "dtype": "string"}, {"name": "choice2-triplet", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 18301197, "num_examples": 60060}]... | 2023-04-14T14:25:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "path-naturalness-prediction"
More Information needed | [
"# Dataset Card for \"path-naturalness-prediction\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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f2e3b692dd912270b66eaa775d87b742808d1e1a | # Landsat
The [Steel Plates dataset](https://archive-beta.ics.uci.edu/dataset/198/steel+plates+faults) from the [UCI repository](https://archive-beta.ics.uci.edu/).
# Configurations and tasks
| **Configuration** | **Task** | **Description** |
|-----------------------|----------------------... | mstz/steel_plates | [
"task_categories:tabular-classification",
"size_categories:1K<n<5K",
"language:en",
"license:cc",
"steel_plates",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | 2023-04-14T14:26:35+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["1K<n<5K"], "task_categories": ["tabular-classification"], "pretty_name": "Landsat", "tags": ["steel_plates", "tabular_classification", "binary_classification", "multiclass_classification", "UCI"], "configs": ["steel_plates", "steel_plates_0", "steel_plates_1", ... | 2023-04-16T17:03:07+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-1K<n<5K #language-English #license-cc #steel_plates #tabular_classification #binary_classification #multiclass_classification #UCI #region-us
| Landsat
=======
The Steel Plates dataset from the UCI repository.
Configurations and tasks
========================
Configuration: steel\_plates, Task: Multiclass classification., Description:
Configuration: steel\_plates\_0, Task: Binary classification., Description: Is the input of class 0?
Configuration: stee... | [] | [
"TAGS\n#task_categories-tabular-classification #size_categories-1K<n<5K #language-English #license-cc #steel_plates #tabular_classification #binary_classification #multiclass_classification #UCI #region-us \n"
] | [
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] |
e1402c83385fb629ccfa8b9d95f2daa9a17073af | # Dataset Card for "tax-chat-in-tuples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mdacampora/tax-chat-in-tuples | [
"region:us"
] | 2023-04-14T14:35:08+00:00 | {"dataset_info": {"features": [{"name": "user", "dtype": "string"}, {"name": "agent", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10007, "num_examples": 66}], "download_size": 7004, "dataset_size": 10007}} | 2023-04-14T14:48:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tax-chat-in-tuples"
More Information needed | [
"# Dataset Card for \"tax-chat-in-tuples\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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5681b3afc5d5041a652030096484c0b19c026c5b | # WallFollowing
The [WallFollowing dataset](https://archive-beta.ics.uci.edu/dataset/194/wall+following+robot+navigation+data) from the [UCI repository](https://archive-beta.ics.uci.edu/).
# Configurations and tasks
| **Configuration** | **Task** | **Description** |
|----------------------... | mstz/wall_following | [
"task_categories:tabular-classification",
"size_categories:1K<n<5K",
"language:en",
"license:cc",
"wall_following",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | 2023-04-14T14:49:57+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["1K<n<5K"], "task_categories": ["tabular-classification"], "pretty_name": "WallFollowing", "tags": ["wall_following", "tabular_classification", "binary_classification", "multiclass_classification", "UCI"], "configs": ["wall_following"]} | 2023-04-16T17:03:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-1K<n<5K #language-English #license-cc #wall_following #tabular_classification #binary_classification #multiclass_classification #UCI #region-us
| WallFollowing
=============
The WallFollowing dataset from the UCI repository.
Configurations and tasks
========================
Configuration: wall\_following, Task: Multiclass classification., Description:
Configuration: wall\_following\_0, Task: Binary classification., Description: Is the instance of class 0?... | [] | [
"TAGS\n#task_categories-tabular-classification #size_categories-1K<n<5K #language-English #license-cc #wall_following #tabular_classification #binary_classification #multiclass_classification #UCI #region-us \n"
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] |
f944c55f732aa326fdeb74eff9d4c910882ba665 | # Dataset Card for "tax-chat-as-dicts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mdacampora/tax-chat-as-dicts | [
"region:us"
] | 2023-04-14T14:56:34+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7143, "num_examples": 49}], "download_size": 5763, "dataset_size": 7143}} | 2023-04-14T14:56:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tax-chat-as-dicts"
More Information needed | [
"# Dataset Card for \"tax-chat-as-dicts\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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a3f0141268576e9b02f0fa20c3285be91ccbd0ff | # Dataset Card for SpanishSRL
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset... | mbruton/spanish_srl | [
"task_categories:token-classification",
"size_categories:10K<n<100K",
"language:es",
"license:cc-by-nc-sa-3.0",
"region:us"
] | 2023-04-14T15:00:31+00:00 | {"language": ["es"], "license": "cc-by-nc-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "pretty_name": "SpanishSRL", "dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "tags", "sequence": {"class_label": {"names": {"0": "O", "1": "r0:arg0|agt", "2... | 2024-01-03T14:08:42+00:00 | [] | [
"es"
] | TAGS
#task_categories-token-classification #size_categories-10K<n<100K #language-Spanish #license-cc-by-nc-sa-3.0 #region-us
| # Dataset Card for SpanishSRL
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Additional Information
- Dataset Curators
- Citation Information
## Dataset ... | [
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2d06991b6c28fadc5e9351dfc8e754fa01a70628 | # WaveformNoiseV1
The [WaveformNoiseV1 dataset](https://archive-beta.ics.uci.edu/dataset/107/waveform+database+generator+version+1) from the [UCI repository](https://archive-beta.ics.uci.edu/).
# Configurations and tasks
| **Configuration** | **Task** | **Description** |
|-----------------... | mstz/waveform_noise_v1 | [
"task_categories:tabular-classification",
"size_categories:1K<n<5K",
"language:en",
"license:cc",
"waveformnoiseV1",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | 2023-04-14T15:00:46+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["1K<n<5K"], "task_categories": ["tabular-classification"], "pretty_name": "WaveformNoiseV1", "tags": ["waveformnoiseV1", "tabular_classification", "binary_classification", "multiclass_classification", "UCI"], "configs": ["waveformnoiseV1", "waveformnoiseV1_0", "... | 2023-04-16T17:04:18+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-1K<n<5K #language-English #license-cc #waveformnoiseV1 #tabular_classification #binary_classification #multiclass_classification #UCI #region-us
| WaveformNoiseV1
===============
The WaveformNoiseV1 dataset from the UCI repository.
Configurations and tasks
========================
Configuration: waveformnoiseV1, Task: Multiclass classification., Description:
Configuration: waveformnoiseV1\_0, Task: Binary classification., Description: Is the image of class... | [] | [
"TAGS\n#task_categories-tabular-classification #size_categories-1K<n<5K #language-English #license-cc #waveformnoiseV1 #tabular_classification #binary_classification #multiclass_classification #UCI #region-us \n"
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] |
363379e2366aca3efb32420df2a6d6c6e1e1418d | # Dataset Card for "resd_annotated_multi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Aniemore/resd_annotated_multi | [
"region:us"
] | 2023-04-14T15:11:43+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "speech", "sequence": "float64"}, {"name": "text", "dtype": "string"}, {"name": "emotion", "dtype": "string"}, {"name": "text_emotions", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 866... | 2023-04-14T15:18:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "resd_annotated_multi"
More Information needed | [
"# Dataset Card for \"resd_annotated_multi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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ba18be2e0b8c5c2004724e44055ba11ae6982ab4 | # Wine Origin
The [Wine Origin dataset](https://archive-beta.ics.uci.edu/dataset/109/wine) from the [UCI repository](https://archive-beta.ics.uci.edu/).
# Configurations and tasks
| **Configuration** | **Task** | **Description** |
|-----------------------|---------------------------|------... | mstz/wine_origin | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"wine_origin",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | 2023-04-14T15:22:09+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["n<1K"], "task_categories": ["tabular-classification"], "pretty_name": "Wine Origin", "tags": ["wine_origin", "tabular_classification", "binary_classification", "multiclass_classification", "UCI"], "configs": ["wine_origin", "wine_origin_0", "wine_origin_1", "wi... | 2023-04-16T17:06:09+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #wine_origin #tabular_classification #binary_classification #multiclass_classification #UCI #region-us
| Wine Origin
===========
The Wine Origin dataset from the UCI repository.
Configurations and tasks
========================
Configuration: wine\_origin, Task: Multiclass classification., Description:
Configuration: wine\_origin\_0, Task: Binary classification., Description: Is the instance of class 0?
Configurati... | [] | [
"TAGS\n#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #wine_origin #tabular_classification #binary_classification #multiclass_classification #UCI #region-us \n"
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] |
b4334a8aab07b23a579fe0f137a517732454a42d | # Dataset Card for "arithmetic_2as_1to1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sethapun/arithmetic_2as_1to1 | [
"region:us"
] | 2023-04-14T15:42:32+00:00 | {"dataset_info": {"features": [{"name": "expression", "dtype": "string"}, {"name": "answer", "dtype": "int64"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "false", "1": "true"}}}}], "splits": [{"name": "train", "num_bytes": 54000, "num_examples": 2000}, {"name": "validation", "num_bytes": 10800, "num_ex... | 2023-04-14T15:42:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arithmetic_2as_1to1"
More Information needed | [
"# Dataset Card for \"arithmetic_2as_1to1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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56f46f87267d06e16824b9616baf56e16c635506 | # Dataset Card for "arithmetic_2as_1to2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sethapun/arithmetic_2as_1to2 | [
"region:us"
] | 2023-04-14T15:42:34+00:00 | {"dataset_info": {"features": [{"name": "expression", "dtype": "string"}, {"name": "answer", "dtype": "int64"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "false", "1": "true"}}}}], "splits": [{"name": "train", "num_bytes": 54000, "num_examples": 2000}, {"name": "validation", "num_bytes": 10800, "num_ex... | 2023-04-14T15:42:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arithmetic_2as_1to2"
More Information needed | [
"# Dataset Card for \"arithmetic_2as_1to2\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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1f1ba7b5a75ae6530a9a129ee31e10b4aa940d1d | # Dataset Card for "chunk_251"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_251 | [
"region:us"
] | 2023-04-14T16:35:28+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 15383239776.75, "num_examples": 160162}], "download_size": 13700452529, "dataset_size": 15383239776.75}} | 2023-04-14T16:56:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_251"
More Information needed | [
"# Dataset Card for \"chunk_251\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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2de7d782ba2e6fa5a45e5b4c010fd5a3650ba2a7 | # Dataset Card for "dolly_chatml"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sam-mosaic/dolly_chatml | [
"language:en",
"region:us"
] | 2023-04-14T16:51:26+00:00 | {"language": "en", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "cat", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11767434, "num_examples": 8497}], "download_size": 5401759, "dataset_size": 11767434}} | 2023-07-17T23:23:37+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # Dataset Card for "dolly_chatml"
More Information needed | [
"# Dataset Card for \"dolly_chatml\"\n\nMore Information needed"
] | [
"TAGS\n#language-English #region-us \n",
"# Dataset Card for \"dolly_chatml\"\n\nMore Information needed"
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10,
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"passage: TAGS\n#language-English #region-us \n# Dataset Card for \"dolly_chatml\"\n\nMore Information needed"
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9c41bb473fb32700eb1b8aed24eea894d3dfb90a | # Dataset Card for "VisionClassification_Test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VisionClassification_test | [
"region:us"
] | 2023-04-14T17:25:10+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "abyssinian", "1": "american bulldog", "2": "american pit bull terrier", "3": "basset hound", "4": "beagle", "5": "bengal", "6": "birman", "7": "bombay", "8": "boxer", "9": "british shorthair",... | 2023-04-14T20:40:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VisionClassification_Test"
More Information needed | [
"# Dataset Card for \"VisionClassification_Test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VisionClassification_Test\"\n\nMore Information needed"
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f7ed54e51e04ddb8c6b81d22707e55cd438a2958 | # Dataset Card for "chunk_261"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_261 | [
"region:us"
] | 2023-04-14T17:54:24+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 17710386768.125, "num_examples": 184391}], "download_size": 15433512574, "dataset_size": 17710386768.125}} | 2023-04-14T18:19:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_261"
More Information needed | [
"# Dataset Card for \"chunk_261\"\n\nMore Information needed"
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] |
1194df8b784ea48c5bd1f272da585613b49ba322 | # Dataset Card for "gpt4all-formatted-dolly-15k-multilingual"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Icannos/gpt4all-formatted-dolly-15k-multilingual | [
"region:us"
] | 2023-04-14T17:54:24+00:00 | {"dataset_info": {"features": [{"name": "response", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "instruction_en", "dtype": "string"}, {"name": "prompt", "dtype": "string"}], "splits": [{"name": "de", "num_bytes": 15002869, "num_examples": 15015}, {"name": "fr", "num_bytes": 15722998, "num_exam... | 2023-04-14T17:54:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gpt4all-formatted-dolly-15k-multilingual"
More Information needed | [
"# Dataset Card for \"gpt4all-formatted-dolly-15k-multilingual\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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00f7ccb4bb2c36fbf40d092fb5a17009221f8091 | # Dataset Card for "chunk_263"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_263 | [
"region:us"
] | 2023-04-14T20:35:15+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 18295895376.125, "num_examples": 190487}], "download_size": 16168462092, "dataset_size": 18295895376.125}} | 2023-04-14T20:46:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_263"
More Information needed | [
"# Dataset Card for \"chunk_263\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"chunk_263\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"chunk_263\"\n\nMore Information needed"
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7c77fd63ca4881133016c60cdf69e193626c022d | # Yeast
The [Yeast dataset](https://archive-beta.ics.uci.edu/dataset/110/yeast) from the [UCI repository](https://archive-beta.ics.uci.edu/).
# Usage
```python
from datasets import load_dataset
dataset = load_dataset("mstz/yeast")["train"]
```
# Configurations and tasks
| **Configuration** | **Task** ... | mstz/yeast | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"yeast",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | 2023-04-14T21:01:54+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["n<1K"], "task_categories": ["tabular-classification"], "pretty_name": "Yeast", "tags": ["yeast", "tabular_classification", "binary_classification", "multiclass_classification", "UCI"], "configs": ["yeast", "yeast_0", "yeast_1", "yeast_2", "yeast_3", "yeast_4", ... | 2024-01-22T15:11:00+00:00 | [] | [
"en"
] | TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #yeast #tabular_classification #binary_classification #multiclass_classification #UCI #region-us
| Yeast
=====
The Yeast dataset from the UCI repository.
Usage
=====
Configurations and tasks
========================
Configuration: yeast, Task: Multiclass classification., Description:
Configuration: yeast\_0, Task: Binary classification., Description: Is the instance of class 0?
Configuration: yeast\_1, Task... | [] | [
"TAGS\n#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #yeast #tabular_classification #binary_classification #multiclass_classification #UCI #region-us \n"
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] |
eb910cea25a54c9e2fe30a3205029b81d2b03890 | # Dataset Card for "wikibook-tokenized-block-size-512"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | carlosejimenez/wikibook-tokenized-block-size-512 | [
"region:us"
] | 2023-04-14T21:12:12+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 15964254252, "num_examples": 7779851}], "download_size": 7865415536, "dataset_size": 15964254252}} | 2023-04-14T21:17:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikibook-tokenized-block-size-512"
More Information needed | [
"# Dataset Card for \"wikibook-tokenized-block-size-512\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"wikibook-tokenized-block-size-512\"\n\nMore Information needed"
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356d3c97c79fe8691e1e1b9e186747bf27eb2941 | # Dataset Card for "chunk_258"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_258 | [
"region:us"
] | 2023-04-14T21:20:43+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 22717849248.25, "num_examples": 236526}], "download_size": 20382760651, "dataset_size": 22717849248.25}} | 2023-04-14T21:40:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_258"
More Information needed | [
"# Dataset Card for \"chunk_258\"\n\nMore Information needed"
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d6273d3563319fd557fef0e9be74b161725fd6b6 | # Dataset Card for "chunk_262"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_262 | [
"region:us"
] | 2023-04-14T21:22:30+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 16839327456.75, "num_examples": 175322}], "download_size": 14594396458, "dataset_size": 16839327456.75}} | 2023-04-14T21:33:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_262"
More Information needed | [
"# Dataset Card for \"chunk_262\"\n\nMore Information needed"
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d5519b89bf11244e4dc3143f16a3e5c6b2105eee | # AutoTrain Dataset for project: pg
## Dataset Description
This dataset has been automatically processed by AutoTrain for project pg.
### Languages
The BCP-47 code for the dataset's language is it2en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"target"... | antotahha/autotrain-data-pg | [
"task_categories:translation",
"language:it",
"language:en",
"region:us"
] | 2023-04-14T22:08:56+00:00 | {"language": ["it", "en"], "task_categories": ["translation"]} | 2023-04-14T22:14:49+00:00 | [] | [
"it",
"en"
] | TAGS
#task_categories-translation #language-Italian #language-English #region-us
| AutoTrain Dataset for project: pg
=================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project pg.
### Languages
The BCP-47 code for the dataset's language is it2en.
Dataset Structure
-----------------
### Data Instances
A... | [
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b28c3c68878d77a26f0c9fbacbb4c55866c793e9 | # Dataset Card for "chunk_254"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_254 | [
"region:us"
] | 2023-04-14T23:27:18+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 13943096064.0, "num_examples": 145168}], "download_size": 12204547841, "dataset_size": 13943096064.0}} | 2023-04-14T23:35:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_254"
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37e8ac48b8f99b0923279ef29b94a29405b85322 | # Dataset Card for "james_hoffmann_youtube"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahp7575/james_hoffmann_youtube | [
"region:us"
] | 2023-04-15T00:25:09+00:00 | {"dataset_info": {"features": [{"name": "vid_num", "dtype": "int64"}, {"name": "url", "dtype": "string"}, {"name": "ts", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 146639, "num_examples": 10}], "download_size": 82880, "dataset_size": 146639}} | 2023-04-15T00:25:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "james_hoffmann_youtube"
More Information needed | [
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1698f4d58256ff419f490b8df878f1e95c267c75 | # Dataset Card for "biored_tokenized_new"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | J4YL19/biored_tokenized_1 | [
"region:us"
] | 2023-04-15T01:22:44+00:00 | {"dataset_info": {"features": [{"name": "pmid", "dtype": "string"}, {"name": "passage", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 2615456, "num_examples": 387}, {"name": "val", "num_bytes": 700577, "num_examples": ... | 2023-04-15T01:22:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "biored_tokenized_new"
More Information needed | [
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0c64fb0aca94f3b4c14b1a300d31dcf1e103ad3b | # Dataset Card for "dataset-creator-askreddit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
--- Generated Below ---
# Dataset Name
derek-thomas/dataset-creator-askreddit
## Update Frequency
The dataset is updated daily and cover... | derek-thomas/dataset-creator-askreddit | [
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] | 2023-04-15T03:57:22+00:00 | {"dataset_info": {"features": [{"name": "score", "dtype": "int64"}, {"name": "num_comments", "dtype": "int64"}, {"name": "title", "dtype": "string"}, {"name": "permalink", "dtype": "string"}, {"name": "selftext", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "created_utc", "dtype": "timestamp[us, tz=... | 2023-04-18T08:05:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset-creator-askreddit"
More Information needed
--- Generated Below ---
# Dataset Name
derek-thomas/dataset-creator-askreddit
## Update Frequency
The dataset is updated daily and covers the period from '2013-01-01' to 2018-07-18
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26be8159946bd2123bce219d2be6024ecf557dca | # h2oGPT Data Card
## Summary
H2O.ai's `h2ogpt-oig-instruct-cleaned-v2` is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: `426845`
- Number of columns: `2`
- Column names: `['input', 'source']`
## Source
- [Original LAION OIG Dataset](h... | h2oai/h2ogpt-oig-instruct-cleaned-v2 | [
"language:en",
"license:apache-2.0",
"gpt",
"llm",
"large language model",
"open-source",
"region:us"
] | 2023-04-15T05:21:20+00:00 | {"language": ["en"], "license": "apache-2.0", "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "tags": ["gpt", "llm", "large language model", "open-source"]} | 2023-04-19T03:42:58+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #gpt #llm #large language model #open-source #region-us
| # h2oGPT Data Card
## Summary
URL's 'h2ogpt-oig-instruct-cleaned-v2' is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: '426845'
- Number of columns: '2'
- Column names: '['input', 'source']'
## Source
- Original LAION OIG Dataset
- LAIO... | [
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f4a395a8ca7e472769bc8f685d43e4884e84a446 | A dataset created from the gradio documentation page. The 2 main groups are components and guides, where components are have all the information about What they do, and their parameters.
This is a first attempt at generating a dataset for alpaca training, feedback is welcome, and improvements on this will be made | ChobPT/gradio_docs_alpaca | [
"region:us"
] | 2023-04-15T06:32:42+00:00 | {} | 2023-04-16T09:48:58+00:00 | [] | [] | TAGS
#region-us
| A dataset created from the gradio documentation page. The 2 main groups are components and guides, where components are have all the information about What they do, and their parameters.
This is a first attempt at generating a dataset for alpaca training, feedback is welcome, and improvements on this will be made | [] | [
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083b5fec913afd82072bc2683b7639fac8267b81 |
# Alpaca GPT4 English-to-Italian Translated Instructions (WIP)
This dataset contains **15209** instructions that have been translated from English to Italian using `gpt-3.5-turbo`.
Alpaca GPT4: the original **alpaca_gpt4_data.json** dataset contains 52K instruction-following data generated by GPT-4 with prompts in ... | efederici/alpaca-gpt4-it | [
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"language:it",
"license:cc-by-nc-2.0",
"alpaca",
"gpt4",
"it",
"region:us"
] | 2023-04-15T07:34:39+00:00 | {"language": ["it"], "license": "cc-by-nc-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "tags": ["alpaca", "gpt4", "it"]} | 2023-11-20T13:41:27+00:00 | [] | [
"it"
] | TAGS
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|
# Alpaca GPT4 English-to-Italian Translated Instructions (WIP)
This dataset contains 15209 instructions that have been translated from English to Italian using 'gpt-3.5-turbo'.
Alpaca GPT4: the original alpaca_gpt4_data.json dataset contains 52K instruction-following data generated by GPT-4 with prompts in Alpaca. ... | [
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1c5b670891f61c01e3dc074a2ce9ad82c858fc0e | # Dataset Card for "imdb1m-top-100-users"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gregorgabrovsek/imdb1m-top-100-users | [
"region:us"
] | 2023-04-15T07:53:48+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 19355289, "num_examples": 34600}, {"name": "test", "num_bytes": 5322604, "num_examples": 11500}], "download_size": 16388095, "dataset_size": 24677893}} | 2023-04-15T07:53:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imdb1m-top-100-users"
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b824e6aa59e56e68f692614964fbefb514a7ceaa | # Dataset Card for "imdb1m-top-5-users"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gregorgabrovsek/imdb1m-top-5-users | [
"region:us"
] | 2023-04-15T07:54:31+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 5212923, "num_examples": 7350}, {"name": "test", "num_bytes": 1850367, "num_examples": 2445}], "download_size": 4683175, "dataset_size": 7063290}} | 2023-04-15T07:54:39+00:00 | [] | [] | TAGS
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53eb02dd32bf12e0e397e4e72e807339cba0dfd7 | # Dataset Card for GalicianSRL
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Datase... | mbruton/galician_srl | [
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_259 | [
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6c07a79a8e36ae2abfb092f1a8f71c8d2fc5db01 |
# Dataset Card for llm-book/ner-wikipedia-dataset
書籍『大規模言語モデル入門』で使用する、ストックマーク株式会社により作成された「Wikipediaを用いた日本語の固有表現抽出データセット」(Version 2.0)です。
Githubリポジトリ[stockmarkteam/ner-wikipedia-dataset](https://github.com/stockmarkteam/ner-wikipedia-dataset)で公開されているデータセットを利用しています。
### Citation
```bibtex
@inproceedings{omi-2021-wik... | llm-book/ner-wikipedia-dataset | [
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# Dataset Card for llm-book/ner-wikipedia-dataset
書籍『大規模言語モデル入門』で使用する、ストックマーク株式会社により作成された「Wikipediaを用いた日本語の固有表現抽出データセット」(Version 2.0)です。
Githubリポジトリstockmarkteam/ner-wikipedia-datasetで公開されているデータセットを利用しています。
### Licence
Wikipedia日本語版と同じCC-BY-SA 3.0のライセンスに従います。
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rootacess/pie-perf | [
"region:us"
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30ac33fc01c78aed1277ddc5ae14c599d07fc80e | # Dataset Card for "chunk_270"
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998a0470653831a4134adf2764b215ef41e6d86e | # Dataset Card for "chunk_269"
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d9e9a08f352843aa4bee542e408e4067893ead85 | ## 1. Introduction
Introducing a novel accent database "IndicAccentDB" which satisfies the below requirements:
* **Gender balance:** The speech database should be a collection of a wide range of speakers balancing both the male and female speakers to display the characteristics of the speakers speech.
* **Phoneticall... | DarshanaS/IndicAccentDb | [
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| ## 1. Introduction
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999cd36bf190c41b1a4195ddbe8b46fc941e48e1 | # Dataset Card for "lfw-face-transformer-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sammyboi1801/lfw-face-transformer-dataset | [
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22b4c866b977584670119b0d09eda22f395b6179 | # Dataset Card for "VQAv2_sample_validation_google_flan_t5_xxl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_500"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/VQAv2_sample_validation_google_flan_t5_xxl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_500 | [
"region:us"
] | 2023-04-15T13:22:33+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0", "num_bytes": 1246308, "num_examples": 500}], "dow... | 2023-04-15T13:22:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_sample_validation_google_flan_t5_xxl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_500"
More Information needed | [
"# Dataset Card for \"VQAv2_sample_validation_google_flan_t5_xxl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_500\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_sample_validation_google_flan_t5_xxl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_500\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_sample_validation_google_flan_t5_xxl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_500\"\n\nMore Information needed"
] |
e528f155dc4bcbe4c7790674cc7573529c78a65b | # Dataset Card for "VQAv2_sample_validation_google_flan_t5_xl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/VQAv2_sample_validation_google_flan_t5_xl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_1000 | [
"region:us"
] | 2023-04-15T13:50:20+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0", "num_bytes": 8096797, "num_examples": 1000}], "do... | 2023-04-15T13:50:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_sample_validation_google_flan_t5_xl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_1000"
More Information needed | [
"# Dataset Card for \"VQAv2_sample_validation_google_flan_t5_xl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_1000\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_sample_validation_google_flan_t5_xl_mode_T_A_D_PNP_NO_FILTER_C_Q_rices_ns_1000\"\n\nMore Information needed"
] |
e18b50a9bf8418de900efefd37f7e82f5374e606 | ***Masumi Kotsu from Yu-Gi-Oh! ARC-V***
- *Trained with Anime (final-full pruned) model.*
- *4 versions; 6 epochs, 8 epochs, 9 epochs, 10 epochs (Feel free to combine these for different and interesting results.)*
- *Expect good results with 0.5 - 0.7 weights (through txt2img) and 0.85 - 0.95 weights (through img2im... | Cheetor1996/masumi_kotsu_LoRA | [
"language:en",
"license:cc-by-2.0",
"art",
"region:us"
] | 2023-04-15T13:52:18+00:00 | {"language": ["en"], "license": "cc-by-2.0", "pretty_name": "Masumi Kotsu (Yu-Gi-Oh! ARC-V)", "tags": ["art"]} | 2023-04-21T23:16:00+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-2.0 #art #region-us
| *Masumi Kotsu from Yu-Gi-Oh! ARC-V*
- *Trained with Anime (final-full pruned) model.*
- *4 versions; 6 epochs, 8 epochs, 9 epochs, 10 epochs (Feel free to combine these for different and interesting results.)*
- *Expect good results with 0.5 - 0.7 weights (through txt2img) and 0.85 - 0.95 weights (through img2img), ... | [] | [
"TAGS\n#language-English #license-cc-by-2.0 #art #region-us \n"
] | [
21
] | [
"passage: TAGS\n#language-English #license-cc-by-2.0 #art #region-us \n"
] |
d3a0415604827f925f34cf5b0b86b8f6b6d201a7 | # Dataset Card for "miniwob_plusplus_hierarchical_planning"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LucasThil/miniwob_plusplus_hierarchical_planning | [
"region:us"
] | 2023-04-15T14:07:21+00:00 | {"dataset_info": {"features": [{"name": "hierarchical_plans", "dtype": "string"}, {"name": "standolone_instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1763813, "num_examples": 10960}], "download_size": 552684, "dataset_size": 1763813}} | 2023-04-15T14:07:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "miniwob_plusplus_hierarchical_planning"
More Information needed | [
"# Dataset Card for \"miniwob_plusplus_hierarchical_planning\"\n\nMore Information needed"
] | [
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3f760dff22117f9f92f203d6d8d8a5b90461f50c | # Dataset Card for "miniwob_plusplus_hierarchical_training_actions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LucasThil/miniwob_plusplus_hierarchical_training_actions | [
"region:us"
] | 2023-04-15T14:09:39+00:00 | {"dataset_info": {"features": [{"name": "history_episodes", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "actions", "dtype": "string"}, {"name": "refs", "dtype": "int64"}, {"name": "keydown_text", "dtype": "string"}, {"name": "subtask_completion", "dtype": "string"}], "splits": [{"name": "tr... | 2023-04-15T14:09:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "miniwob_plusplus_hierarchical_training_actions"
More Information needed | [
"# Dataset Card for \"miniwob_plusplus_hierarchical_training_actions\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"miniwob_plusplus_hierarchical_training_actions\"\n\nMore Information needed"
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f6c443cd8e7499d0a811f7ef3d6ed19f9e809916 |
# ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset
A high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue models (more robust in instruction distribution than those datasets generate... | shareAI/ShareGPT-Chinese-English-90k | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"language:zh",
"license:apache-2.0",
"code",
"region:us"
] | 2023-04-15T15:23:35+00:00 | {"language": ["en", "zh"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text-generation"], "configs": [{"config_name": "default", "data_files": "sharegpt_jsonl/*.jsonl"}], "tags": ["code"]} | 2024-01-29T12:00:38+00:00 | [] | [
"en",
"zh"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-English #language-Chinese #license-apache-2.0 #code #region-us
|
# ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset
A high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue models (more robust in instruction distribution than those datasets generate... | [
"# ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset\nA high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue models (more robust in instruction distribution than those datasets gen... | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-English #language-Chinese #license-apache-2.0 #code #region-us \n",
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f118c8005b43bb239009c2fb41a9db9a696d7d50 |
This is an asset dataset for the BigCode deduplication blog post. | chenghao/dedup_blog_assets | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-04-15T15:44:06+00:00 | {"license": "cc-by-nc-4.0"} | 2023-04-15T16:09:09+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
This is an asset dataset for the BigCode deduplication blog post. | [] | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n"
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"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n"
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20c42e66003a492e48e155378a3edfcb4a572daa | # Dataset Card for "chunk_271"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | one-sec-cv12/chunk_271 | [
"region:us"
] | 2023-04-15T15:45:32+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}], "splits": [{"name": "train", "num_bytes": 17385648480.75, "num_examples": 181010}], "download_size": 15043859682, "dataset_size": 17385648480.75}} | 2023-04-15T15:58:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chunk_271"
More Information needed | [
"# Dataset Card for \"chunk_271\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"chunk_271\"\n\nMore Information needed"
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df1ff84f8069e47e05896cae227f944fd8468d24 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | Jandodev/file_test_1 | [
"region:us"
] | 2023-04-15T15:53:02+00:00 | {} | 2023-04-15T16:17:40+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
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47cff24e5651102a725e0a5be605cd18b916a13a | # h2oGPT Data Card
## Summary
H2O.ai's `h2ogpt-oig-instruct-cleaned-v3` is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: `302276`
- Number of columns: `2`
- Column names: `['input', 'source']`
## Source
- [Original LAION OIG Dataset](h... | h2oai/h2ogpt-oig-instruct-cleaned-v3 | [
"language:en",
"license:apache-2.0",
"gpt",
"llm",
"large language model",
"open-source",
"region:us"
] | 2023-04-15T16:11:24+00:00 | {"language": ["en"], "license": "apache-2.0", "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "tags": ["gpt", "llm", "large language model", "open-source"]} | 2023-04-19T03:43:05+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #gpt #llm #large language model #open-source #region-us
| # h2oGPT Data Card
## Summary
URL's 'h2ogpt-oig-instruct-cleaned-v3' is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: '302276'
- Number of columns: '2'
- Column names: '['input', 'source']'
## Source
- Original LAION OIG Dataset
- LAIO... | [
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93ce16d5fa4a41ca47f380654647bcdb64d60e72 | # Dataset Card for "spam-detection-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deysi/spam-detection-dataset | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-04-15T16:39:24+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "spam", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3161821, "num_examples":... | 2023-04-15T16:42:24+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
| # Dataset Card for "spam-detection-dataset"
More Information needed | [
"# Dataset Card for \"spam-detection-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n",
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41,
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"passage: TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n# Dataset Card for \"spam-detection-dataset\"\n\nMore Information needed"
] |
a0bf67edd77b2334cd74461a354ec594c05bcf6c |
# ChatGPT3.5 Noisy Translation Banjarese
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/translation/chatgpt3.5-nllb-bjn | mesolitica/chatgpt-noisy-translation-banjarese | [
"task_categories:translation",
"language:ms",
"region:us"
] | 2023-04-15T16:50:26+00:00 | {"language": ["ms"], "task_categories": ["translation"]} | 2023-12-17T04:11:02+00:00 | [] | [
"ms"
] | TAGS
#task_categories-translation #language-Malay (macrolanguage) #region-us
|
# ChatGPT3.5 Noisy Translation Banjarese
Notebooks at URL | [
"# ChatGPT3.5 Noisy Translation Banjarese\n\nNotebooks at URL"
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79a22879df90711c17ee3d6b739b5d70bda92c95 | # Dataset Card for "grayscale_image_aesthetic_3M"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ioclab/grayscale_image_aesthetic_3M | [
"region:us"
] | 2023-04-15T17:01:40+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "conditioning_image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 223038217282.0, "num_examples": 3000000}], "download_size": 222413091423, "dataset_size": 223038217282.0}} | 2023-04-16T07:12:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "grayscale_image_aesthetic_3M"
More Information needed | [
"# Dataset Card for \"grayscale_image_aesthetic_3M\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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] |
295ce8d50a67d0e43dec067fcc69c4e0966136d1 |
* Based on [oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1).
* Only Russian message trees, only main branches.
* Script: [get_oasst_ru.py](https://github.com/IlyaGusev/rulm/blob/master/self_instruct/src/data_processing/get_oasst_ru.py)
| IlyaGusev/oasst1_ru_main_branch | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:ru",
"license:apache-2.0",
"region:us"
] | 2023-04-15T17:16:15+00:00 | {"language": ["ru"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "text-generation"], "dataset_info": {"features": [{"name": "messages", "sequence": [{"name": "role", "dtype": "string"}, {"name": "content", "dtype": "string"}]}, {"name": "id", "dtype": "string"}], "spl... | 2023-09-15T19:58:01+00:00 | [] | [
"ru"
] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-1K<n<10K #language-Russian #license-apache-2.0 #region-us
|
* Based on oasst1.
* Only Russian message trees, only main branches.
* Script: get_oasst_ru.py
| [] | [
"TAGS\n#task_categories-conversational #task_categories-text-generation #size_categories-1K<n<10K #language-Russian #license-apache-2.0 #region-us \n"
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bd52d622d5b9e29212103a68e76908cd91cf4599 | # Dataset Card for "miniharem_validation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arubenruben/miniharem_validation | [
"region:us"
] | 2023-04-15T18:29:24+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-PESSOA", "2": "I-PESSOA", "3": "B-ORGANIZACAO", "4": "I-ORGANIZACAO", "5": "B-LOCAL", "6": "I-LOCAL", "7": "B-TEMPO", "8": "I-TEMPO", ... | 2023-04-15T18:29:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "miniharem_validation"
More Information needed | [
"# Dataset Card for \"miniharem_validation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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88f79d16bd1bfa2705c1482be61c40662de00689 |
# AnimeHeadsv3 Object Detection Dataset
The AnimeHeadsv3 Object Detection Dataset is a collection of anime and art images, including manga pages, that have been annotated with object bounding boxes for use in object detection tasks.
## Contents
There are two versions of the dataset available:
The dataset contains a ... | nyuuzyou/AnimeHeadsv3 | [
"task_categories:object-detection",
"license:wtfpl",
"region:us"
] | 2023-04-15T18:34:19+00:00 | {"license": "wtfpl", "task_categories": ["object-detection"], "dataset_info": [{"config_name": "With augmentation", "features": [{"name": "image_id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "width", "dtype": "int32"}, {"name": "height", "dtype": "int32"}, {"name": "objects", "sequence": [{"name... | 2023-07-02T22:24:38+00:00 | [] | [] | TAGS
#task_categories-object-detection #license-wtfpl #region-us
|
# AnimeHeadsv3 Object Detection Dataset
The AnimeHeadsv3 Object Detection Dataset is a collection of anime and art images, including manga pages, that have been annotated with object bounding boxes for use in object detection tasks.
## Contents
There are two versions of the dataset available:
The dataset contains a ... | [
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d18e88207ecd3130eba8e0c4efecb6932d292dda |
**CTMatch Classification Dataset**
This is a combined set of 2 labelled datasets of:
`topic (patient descriptions), doc (clinical trials documents - selected fields), and label ({0, 1, 2})` triples, in jsonl format.
(Somewhat of a duplication of some of the `ir_dataset` also available on HF.)
These have been proc... | semaj83/ctmatch_classification | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"license:mit",
"medical",
"region:us"
] | 2023-04-15T18:51:57+00:00 | {"license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "tags": ["medical"]} | 2023-05-10T10:05:13+00:00 | [] | [] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #license-mit #medical #region-us
|
CTMatch Classification Dataset
This is a combined set of 2 labelled datasets of:
'topic (patient descriptions), doc (clinical trials documents - selected fields), and label ({0, 1, 2})' triples, in jsonl format.
(Somewhat of a duplication of some of the 'ir_dataset' also available on HF.)
These have been processe... | [
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] |
1e44b44ddb4c27ab3130ed4b67aee65dba87158d |
This data accompanies the WebUI project (https://dl.acm.org/doi/abs/10.1145/3544548.3581158)
For more information, check out the project website: https://uimodeling.github.io/
To download this dataset, you need to install the huggingface-hub package
```
pip install huggingface-hub
```
Use snapshot_download
```
fr... | biglab/webui-all | [
"license:other",
"region:us"
] | 2023-04-15T19:08:49+00:00 | {"license": "other"} | 2023-05-05T01:24:25+00:00 | [] | [] | TAGS
#license-other #region-us
|
This data accompanies the WebUI project (URL
For more information, check out the project website: URL
To download this dataset, you need to install the huggingface-hub package
Use snapshot_download
IMPORTANT
* Before downloading and using, please review the copyright info here: URL
* Not all data samples hav... | [] | [
"TAGS\n#license-other #region-us \n"
] | [
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3bb545f798340d2bcb073229f4068baeb4d8a004 | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joagonzalez/github-issues | [
"region:us"
] | 2023-04-15T20:20:43+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-04-15T20:20:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-issues"
More Information needed | [
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9a14415289dea0e603687b14d4581a81ecdfe9c9 | Modified dataset from:
Caufield, J. Harry (2019): MACCROBAT. figshare. Dataset. https://doi.org/10.6084/m9.figshare.9764942.v2
Example training notebook: https://colab.research.google.com/drive/1OzCY782KJSF0FBDS0d1CoMhfp3-RtJMV?usp=sharing
Labels:
```
0: B-Activity
1: B-Administration
2: B-Age
3: B-Area
4: B-Biologic... | ktgiahieu/maccrobat2018_2020 | [
"license:cc-by-4.0",
"region:us"
] | 2023-04-15T20:27:11+00:00 | {"license": "cc-by-4.0"} | 2023-05-21T09:39:53+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| Modified dataset from:
Caufield, J. Harry (2019): MACCROBAT. figshare. Dataset. URL
Example training notebook: URL
Labels:
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1ba1b04545ba2e1b446e7540a182f2d0d863279c | # Dataset Card for "imdb_misspelled_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sethapun/imdb_misspelled_5 | [
"region:us"
] | 2023-04-15T20:35:34+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "neg", "1": "pos"}}}}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 33631096, "num_examples": 25000}, {"name": "validation", "num_bytes": 32850598... | 2023-04-15T20:35:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imdb_misspelled_5"
More Information needed | [
"# Dataset Card for \"imdb_misspelled_5\"\n\nMore Information needed"
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84127f4ab50eb869aba37e1c4f4e324f8063ac76 | # Dataset Card for "naively_captioned_CUB2002011_one_per_class_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | anjunhu/naively_captioned_CUB2002011_test_1shot | [
"region:us"
] | 2023-04-15T20:47:07+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "text_cupl", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 5396113.0, "num_examples": 200}], "download_size": 5382841, "dataset_size": 5396113.0}} | 2023-04-28T08:54:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "naively_captioned_CUB2002011_one_per_class_test"
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2ffa977b0d3d284487225bbd008e4d324dbf1788 | # Dataset Card for "sft_language_hq_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/sft_language_hq_v1 | [
"region:us"
] | 2023-04-15T21:42:34+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 199022467.8071509, "num_examples": 206732}], "download_size": 88660076, "dataset_size": 199022467.8071509}} | 2023-04-15T21:42:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sft_language_hq_v1"
More Information needed | [
"# Dataset Card for \"sft_language_hq_v1\"\n\nMore Information needed"
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650da2e4c3d00b3d305820773144794543e862e1 | **Sakura Yayoi - CUNO - Hisen Kaede (LoHa Ver.)**
- 6 Versions; *5 epochs, 6 epochs, 7 epochs, 8 epochs, 9 epochs, 10 epochs*
- Recommended LoRA Weight Blocks: **ALL, MIDD, OUTD, OUTALL**
- Recomended weights; 0.7 - 1.0 | Cheetor1996/Sakura_Yayoi_CUNO_LoHa | [
"language:en",
"license:cc-by-2.0",
"art",
"region:us"
] | 2023-04-15T22:06:01+00:00 | {"language": ["en"], "license": "cc-by-2.0", "pretty_name": "Sakura_Yayoi_CUNO (LoHA Ver.)", "tags": ["art"]} | 2023-04-21T23:16:39+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-2.0 #art #region-us
| Sakura Yayoi - CUNO - Hisen Kaede (LoHa Ver.)
- 6 Versions; *5 epochs, 6 epochs, 7 epochs, 8 epochs, 9 epochs, 10 epochs*
- Recommended LoRA Weight Blocks: ALL, MIDD, OUTD, OUTALL
- Recomended weights; 0.7 - 1.0 | [] | [
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c4369717b8ccdbd8bd1875d00b41bb07c30d4edb | # Dataset for Circuit-GNN
### Download
```
1. Download GLM_1.3b.zip
2. Unzip it.
``` | Looong/GLM_1.3b | [
"region:us"
] | 2023-04-16T00:00:02+00:00 | {} | 2023-04-16T11:48:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset for Circuit-GNN
### Download
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47548972e88339ce263dd4b3efe234cfebfbbd64 |
# **CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society**
- **Github:** https://github.com/lightaime/camel
- **Website:** https://www.camel-ai.org/
- **Arxiv Paper:** https://arxiv.org/abs/2303.17760
## Dataset Summary
Biology dataset is composed of 20K problem-solution pairs obt... | camel-ai/biology | [
"task_categories:text-generation",
"language:en",
"license:cc-by-nc-4.0",
"instruction-finetuning",
"arxiv:2303.17760",
"region:us"
] | 2023-04-16T00:30:03+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "task_categories": ["text-generation"], "pretty_name": "CAMEL Biology", "tags": ["instruction-finetuning"], "arxiv": 2303.1776, "extra_gated_prompt": "By using this data, you acknowledge and agree to utilize it solely for research purposes, recognizing that the dataset ma... | 2023-05-23T20:11:56+00:00 | [
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#task_categories-text-generation #language-English #license-cc-by-nc-4.0 #instruction-finetuning #arxiv-2303.17760 #region-us
|
# CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
- Github: URL
- Website: URL
- Arxiv Paper: URL
## Dataset Summary
Biology dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 biology topics, 25 subto... | [
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16b27e68de06f5ae6958111834efb7a90a8b8d81 |
# **CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society**
- **Github:** https://github.com/lightaime/camel
- **Website:** https://www.camel-ai.org/
- **Arxiv Paper:** https://arxiv.org/abs/2303.17760
## Dataset Summary
Chemistry dataset is composed of 20K problem-solution pairs o... | camel-ai/chemistry | [
"task_categories:text-generation",
"language:en",
"license:cc-by-nc-4.0",
"instruction-finetuning",
"arxiv:2303.17760",
"region:us"
] | 2023-04-16T00:30:56+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "task_categories": ["text-generation"], "pretty_name": "CAMEL Chemistry", "tags": ["instruction-finetuning"], "arxiv": 2303.1776, "extra_gated_prompt": "By using this data, you acknowledge and agree to utilize it solely for research purposes, recognizing that the dataset ... | 2023-05-23T20:12:52+00:00 | [
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# CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
- Github: URL
- Website: URL
- Arxiv Paper: URL
## Dataset Summary
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b69a66cba535e646cc3ace12b4eb672be78b44af | # PARARULE-Plus
This is a branch which includes the dataset from PARARULE-Plus Depth=2, Depth=3, Depth=4 and Depth=5. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow... | qbao775/PARARULE-Plus | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"Reasoning",
"Multi-Step-Deductive-Reasoning",
"Logical-Reasoning",
"region:us"
] | 2023-04-16T00:53:56+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "question-answering"], "tags": ["Reasoning", "Multi-Step-Deductive-Reasoning", "Logical-Reasoning"]} | 2023-06-05T02:56:52+00:00 | [] | [
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This is a branch which includes the dataset from PARARULE-Plus Depth=2, Depth=3, Depth=4 and Depth=5. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow... | [
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9555cf3c09525bab2671631ee1b467475e1096d8 | # h2oGPT Data Card
## Summary
H2O.ai's `openassistant_oasst1` is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: `46283`
- Number of columns: `3`
- Column names: `['input', 'prompt_type', 'source']`
## Source
- [Original Open Assistant d... | h2oai/openassistant_oasst1 | [
"language:en",
"license:apache-2.0",
"gpt",
"llm",
"large language model",
"open-source",
"region:us"
] | 2023-04-16T00:58:01+00:00 | {"language": ["en"], "license": "apache-2.0", "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "tags": ["gpt", "llm", "large language model", "open-source"]} | 2023-04-19T03:43:13+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #gpt #llm #large language model #open-source #region-us
| # h2oGPT Data Card
## Summary
URL's 'openassistant_oasst1' is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: '46283'
- Number of columns: '3'
- Column names: '['input', 'prompt_type', 'source']'
## Source
- Original Open Assistant data ... | [
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5123e80eb6b8faca32491768e42a64f708c12d77 |
just add ocean data into alpaca-cleaned | ayuan0324/ocean | [
"region:us"
] | 2023-04-16T01:15:27+00:00 | {} | 2023-04-16T03:29:23+00:00 | [] | [] | TAGS
#region-us
|
just add ocean data into alpaca-cleaned | [] | [
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f3d12c5e4ea1553c2390ace2f5cfd063de7388c2 | # h2oGPT Data Card
## Summary
H2O.ai's `h2ogpt-oig-oasst1-instruct-cleaned-v1` is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: `349837`
- Number of columns: `3`
- Column names: `['input', 'source', 'prompt_type']`
## Source
- [Origina... | h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v1 | [
"language:en",
"license:apache-2.0",
"gpt",
"llm",
"large language model",
"open-source",
"region:us"
] | 2023-04-16T01:18:28+00:00 | {"language": ["en"], "license": "apache-2.0", "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "tags": ["gpt", "llm", "large language model", "open-source"]} | 2023-04-19T03:43:33+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #gpt #llm #large language model #open-source #region-us
| # h2oGPT Data Card
## Summary
URL's 'h2ogpt-oig-oasst1-instruct-cleaned-v1' is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.
- Number of rows: '349837'
- Number of columns: '3'
- Column names: '['input', 'source', 'prompt_type']'
## Source
- Original LA... | [
"# h2oGPT Data Card",
"## Summary\n\nURL's 'h2ogpt-oig-oasst1-instruct-cleaned-v1' is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.\n\n- Number of rows: '349837'\n- Number of columns: '3'\n- Column names: '['input', 'source', 'prompt_type']'",
"## So... | [
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"# h2oGPT Data Card",
"## Summary\n\nURL's 'h2ogpt-oig-oasst1-instruct-cleaned-v1' is an open-source instruct-type dataset for fine-tuning of large language models, licensed for commercial use.\n\n- Number ... | [
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a47c0946e1419ce6dfe26ceec160978172164877 |
just collect these models from various online sources | m-mao/lora_collected | [
"region:us"
] | 2023-04-16T01:33:58+00:00 | {} | 2023-04-16T03:05:43+00:00 | [] | [] | TAGS
#region-us
|
just collect these models from various online sources | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
fd21f0392ca5692721d403325ce99a0a9559a8d1 |
原始未清洗、翻译的数据，用于存放方便文件传输。 | shareAI/shareGPT_origin | [
"license:openrail",
"region:us"
] | 2023-04-16T01:58:43+00:00 | {"license": "openrail"} | 2023-04-16T02:46:54+00:00 | [] | [] | TAGS
#license-openrail #region-us
|
原始未清洗、翻译的数据，用于存放方便文件传输。 | [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-openrail #region-us \n"
] |
341e74408ea34719c7d86a0dc92e3cb3b6bb94bb | # PARARULE-Plus-Depth-2
This is a branch which includes the dataset from PARARULE-Plus Depth=2. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-world assu... | qbao775/PARARULE-Plus-Depth-2 | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"Reasoning",
"Multi-Step-Deductive-Reasoning",
"Logical-Reasoning",
"region:us"
] | 2023-04-16T04:22:51+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "question-answering"], "tags": ["Reasoning", "Multi-Step-Deductive-Reasoning", "Logical-Reasoning"]} | 2023-06-05T02:57:27+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us
| # PARARULE-Plus-Depth-2
This is a branch which includes the dataset from PARARULE-Plus Depth=2. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-world assu... | [
"# PARARULE-Plus-Depth-2\nThis is a branch which includes the dataset from PARARULE-Plus Depth=2. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-worl... | [
"TAGS\n#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us \n",
"# PARARULE-Plus-Depth-2\nThis is a branch which includes the dataset from PARARULE-Plus Depth=2. ... | [
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"passage: TAGS\n#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us \n# PARARULE-Plus-Depth-2\nThis is a branch which includes the dataset from PARARULE-Plus Depth=... |
69d19d47d9f9182598885e0459ebe5dad63d13b6 | # PARARULE-Plus-Depth-3
This is a branch which includes the dataset from PARARULE-Plus Depth=3. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-world assu... | qbao775/PARARULE-Plus-Depth-3 | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"Reasoning",
"Multi-Step-Deductive-Reasoning",
"Logical-Reasoning",
"region:us"
] | 2023-04-16T04:25:47+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "question-answering"], "tags": ["Reasoning", "Multi-Step-Deductive-Reasoning", "Logical-Reasoning"]} | 2023-06-05T02:57:53+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us
| # PARARULE-Plus-Depth-3
This is a branch which includes the dataset from PARARULE-Plus Depth=3. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-world assu... | [
"# PARARULE-Plus-Depth-3\nThis is a branch which includes the dataset from PARARULE-Plus Depth=3. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-worl... | [
"TAGS\n#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us \n",
"# PARARULE-Plus-Depth-3\nThis is a branch which includes the dataset from PARARULE-Plus Depth=3. ... | [
77,
315,
8,
35
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"passage: TAGS\n#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us \n# PARARULE-Plus-Depth-3\nThis is a branch which includes the dataset from PARARULE-Plus Depth=... |
9bc18283cc5012155ee6b7f5f9829fd723df308c |
# Dataset Card for Pick-a-Pic (v1)
## Dataset Description
- **Homepage: The web app can be found at [pickapic.io](https://pickapic.io/)**
- **Repository: The repository of [PickScore](https://github.com/yuvalkirstain/PickScore)**
- **Paper: [Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generatio... | yuvalkirstain/pickapic_v1 | [
"arxiv:2305.01569",
"arxiv:2303.14420",
"arxiv:2304.05977",
"arxiv:2210.03927",
"arxiv:2210.08402",
"region:us"
] | 2023-04-16T04:26:09+00:00 | {"dataset_info": {"features": [{"name": "are_different", "dtype": "bool"}, {"name": "best_image_uid", "dtype": "string"}, {"name": "caption", "dtype": "string"}, {"name": "created_at", "dtype": "timestamp[ns]"}, {"name": "has_label", "dtype": "bool"}, {"name": "image_0_uid", "dtype": "string"}, {"name": "image_0_url", ... | 2023-05-05T14:00:30+00:00 | [
"2305.01569",
"2303.14420",
"2304.05977",
"2210.03927",
"2210.08402"
] | [] | TAGS
#arxiv-2305.01569 #arxiv-2303.14420 #arxiv-2304.05977 #arxiv-2210.03927 #arxiv-2210.08402 #region-us
| Dataset Card for Pick-a-Pic (v1)
================================
Dataset Description
-------------------
* Homepage: The web app can be found at URL
* Repository: The repository of PickScore
* Paper: Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation.
* Leaderboard: TODO
* Point of Contac... | [
"### Dataset Summary\n\n\nThe Pick-a-Pic dataset was collected with the Pick-a-Pic web app and contains over half-a-million examples of human preferences over model-generated images.\nThis dataset with URLs instead of the actual images (which makes it much smaller in size) can be found here.\n\n\nSee the correspond... | [
"TAGS\n#arxiv-2305.01569 #arxiv-2303.14420 #arxiv-2304.05977 #arxiv-2210.03927 #arxiv-2210.08402 #region-us \n",
"### Dataset Summary\n\n\nThe Pick-a-Pic dataset was collected with the Pick-a-Pic web app and contains over half-a-million examples of human preferences over model-generated images.\nThis dataset with... | [
50,
134,
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51,
300
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"passage: TAGS\n#arxiv-2305.01569 #arxiv-2303.14420 #arxiv-2304.05977 #arxiv-2210.03927 #arxiv-2210.08402 #region-us \n### Dataset Summary\n\n\nThe Pick-a-Pic dataset was collected with the Pick-a-Pic web app and contains over half-a-million examples of human preferences over model-generated images.\nThis dataset w... |
0e3169fedacdfc3dcda8a7a4573c491c2a404126 | # PARARULE-Plus-Depth-4
This is a branch which includes the dataset from PARARULE-Plus Depth=4. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-world assu... | qbao775/PARARULE-Plus-Depth-4 | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"Reasoning",
"Multi-Step-Deductive-Reasoning",
"Logical-Reasoning",
"region:us"
] | 2023-04-16T04:28:17+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "question-answering"], "tags": ["Reasoning", "Multi-Step-Deductive-Reasoning", "Logical-Reasoning"]} | 2023-06-05T02:58:20+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us
| # PARARULE-Plus-Depth-4
This is a branch which includes the dataset from PARARULE-Plus Depth=4. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-world assu... | [
"# PARARULE-Plus-Depth-4\nThis is a branch which includes the dataset from PARARULE-Plus Depth=4. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE (Peter Clark et al., 2020). Both PARARULE and PARARULE-Plus follow the closed-worl... | [
"TAGS\n#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us \n",
"# PARARULE-Plus-Depth-4\nThis is a branch which includes the dataset from PARARULE-Plus Depth=4. ... | [
77,
315,
8,
35
] | [
"passage: TAGS\n#task_categories-text-classification #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-mit #Reasoning #Multi-Step-Deductive-Reasoning #Logical-Reasoning #region-us \n# PARARULE-Plus-Depth-4\nThis is a branch which includes the dataset from PARARULE-Plus Depth=... |
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