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3911beb4f771917c07ebd4d30ea383877bfa6637 | # Dataset Card for "example_pairs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/example_pairs | [
"region:us"
] | 2023-11-26T03:19:12+00:00 | {"dataset_info": {"features": [{"name": "anchor", "dtype": "string"}, {"name": "positive", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1985788, "num_examples": 1000}], "download_size": 1150009, "dataset_size": 1985788}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": ... | 2023-11-26T03:19:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "example_pairs"
More Information needed | [
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1e2f41c62a3bdd6ef2591dfc976403fef709849c | https://huggingface.co/datasets/meta-math/MetaMathQA
features: mathematics, single-turn, task
length: 395k | Wanfq/metamathqa | [
"region:us"
] | 2023-11-26T03:20:26+00:00 | {} | 2023-11-26T04:23:54+00:00 | [] | [] | TAGS
#region-us
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features: mathematics, single-turn, task
length: 395k | [] | [
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bb3dc8b7aa88f51460b301a4523d2d180b6ea1fe | https://huggingface.co/datasets/HuggingFaceH4/no_robots
features: general, multi-turn, task
length: 9.5k | Wanfq/no_robots | [
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] | 2023-11-26T03:22:56+00:00 | {} | 2023-11-26T04:24:22+00:00 | [] | [] | TAGS
#region-us
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features: general, multi-turn, task
length: 9.5k | [] | [
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3293639fc5120a583bb686b558f44daba2199c44 | https://huggingface.co/datasets/OpenAssistant/oasst_top1_2023-08-25
features: general, multi-turn, chat
length: 12.9k | Wanfq/oasst_top1 | [
"region:us"
] | 2023-11-26T03:23:22+00:00 | {} | 2023-11-26T04:24:59+00:00 | [] | [] | TAGS
#region-us
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features: general, multi-turn, chat
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5d5b0146f78f798658ed7d1a600beb6ab8676768 | # Dataset Card for "example_triplet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/example_triplet | [
"region:us"
] | 2023-11-26T03:29:52+00:00 | {"dataset_info": {"features": [{"name": "anchor", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 272226766, "num_examples": 160956}], "download_size": 174006237, "dataset_size": 272226766}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "pa... | 2023-11-26T03:31:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "example_triplet"
More Information needed | [
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ea5287a6f7ef0f92883a738fe922d687c49ed29c | https://huggingface.co/datasets/shahules786/orca-best
features: general, single-turn, task
length: 329k | Wanfq/orca_best | [
"region:us"
] | 2023-11-26T03:38:02+00:00 | {} | 2023-11-26T04:25:38+00:00 | [] | [] | TAGS
#region-us
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features: general, single-turn, task
length: 329k | [] | [
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242d33dce3e187d88242df8190a220206b06482f | https://huggingface.co/datasets/LDJnr/Pure-Dove
features: general multi-turn, chat
length: 3.86k | Wanfq/pure_dove | [
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#region-us
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features: general multi-turn, chat
length: 3.86k | [] | [
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89b7ae486afef53815ede44936b7f30ed4564b89 | https://huggingface.co/datasets/ajibawa-2023/Python-Code-23k-ShareGPT
features: coding, single-turn, task
length: 22.6k | Wanfq/python_code | [
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] | 2023-11-26T03:49:43+00:00 | {} | 2023-11-26T04:26:45+00:00 | [] | [] | TAGS
#region-us
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features: coding, single-turn, task
length: 22.6k | [] | [
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2d79f601658be171910aa70982e0d20a55c9ce3e | https://huggingface.co/datasets/shibing624/sharegpt_gpt4
features: general, multi-turn, chat
length: 6.21k | Wanfq/sharegpt_gpt4 | [
"region:us"
] | 2023-11-26T03:50:33+00:00 | {} | 2023-11-26T04:27:21+00:00 | [] | [] | TAGS
#region-us
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features: general, multi-turn, chat
length: 6.21k | [] | [
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2d3e2c2b097aebaa96e598225e839cef20a6b089 | https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k
features: general, multi-turn, chat
length: 208k | Wanfq/ultrachat_200k | [
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] | 2023-11-26T03:51:58+00:00 | {} | 2023-11-26T04:27:53+00:00 | [] | [] | TAGS
#region-us
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features: general, multi-turn, chat
length: 208k | [] | [
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1a5ce6d5027a67c2fc027b087496ebe50ca30d6d | # Datasets for Lost In The Middle
This repository contains datasets used in the paper ["Lost in the Middle: How Language Models Use Long Contexts"](https://arxiv.org/abs/2307.03172), focusing on multi-document question answering and key-value retrieval tasks.
## Datasets Overview
The datasets provided are as follows... | bzantium/LITM | [
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"size_categories:n<1K",
"license:apache-2.0",
"lost-in-the-middle",
"arxiv:2307.03172",
"region:us"
] | 2023-11-26T03:54:15+00:00 | {"license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "configs": [{"config_name": "kv75", "data_files": [{"split": "test", "path": "data/kv75.jsonl"}]}, {"config_name": "kv140", "data_files": [{"split": "test", "path": "data/kv140.jsonl"}]}, {"config_name": "kv300", "data_fil... | 2023-12-12T01:46:34+00:00 | [
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] | [] | TAGS
#task_categories-question-answering #size_categories-n<1K #license-apache-2.0 #lost-in-the-middle #arxiv-2307.03172 #region-us
| # Datasets for Lost In The Middle
This repository contains datasets used in the paper "Lost in the Middle: How Language Models Use Long Contexts", focusing on multi-document question answering and key-value retrieval tasks.
## Datasets Overview
The datasets provided are as follows:
- Key-Value Retrieval Datasets
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f22a4658d111c25f620b7b1dc8af21afa8588e52 | https://huggingface.co/datasets/LDJnr/Verified-Camel
features: general, single-turn, task
length: 0.127k | Wanfq/verified_camel | [
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] | 2023-11-26T03:58:23+00:00 | {} | 2023-11-26T04:28:24+00:00 | [] | [] | TAGS
#region-us
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features: general, single-turn, task
length: 0.127k | [] | [
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6
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f62903c76584bc6e940cbc1f664ee0b2fa948717 | https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1
features: coding, single-turn, task
only select python code
length: 57.4k | Wanfq/wizardcoder | [
"region:us"
] | 2023-11-26T03:58:44+00:00 | {} | 2024-01-19T15:51:36+00:00 | [] | [] | TAGS
#region-us
| URL
features: coding, single-turn, task
only select python code
length: 57.4k | [] | [
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] | [
6
] | [
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] |
36ef631e35bdec0e4aab03d51c9172c756adac9c | https://huggingface.co/datasets/ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
features: general, multi-turn, chat
length: 154k | Wanfq/wizardlm | [
"region:us"
] | 2023-11-26T04:01:23+00:00 | {} | 2023-11-26T04:29:27+00:00 | [] | [] | TAGS
#region-us
| URL
features: general, multi-turn, chat
length: 154k | [] | [
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b265589295b9e1a1821790375844be80befc3bf8 | * Update on December 24, 2023: Improve the format of answers： force all answers to be provide the refered original text first.
* English multi document Q&A data created using RedPajamaCommonCrawl data as reference text
* In the Raw dataset, each sample contains <font
color=red> one reference document, 199 irrelevant... | yuyijiong/Multi-doc-QA-CommonCrawl | [
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-11-26T04:04:20+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"]} | 2023-12-04T11:37:12+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #license-cc-by-nc-4.0 #region-us
| * Update on December 24, 2023: Improve the format of answers： force all answers to be provide the refered original text first.
* English multi document Q&A data created using RedPajamaCommonCrawl data as reference text
* In the Raw dataset, each sample contains <font
color=red> one reference document, 199 irrelevant... | [] | [
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8c68fbb3023d2d8dfbedac2a807c92adc51afd7a |
A dataset of all audio files uploaded to LibriVox before 26th September 2023. | pykeio/librivox-tracks | [
"task_categories:text-to-speech",
"task_categories:automatic-speech-recognition",
"size_categories:100K<n<1M",
"language:ace",
"language:afr",
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"... | 2023-11-26T04:21:02+00:00 | {"language": ["ace", "afr", "grc", "ara", "ban", "bel", "ben", "ceb", "bug", "bul", "yue", "cat", "zho", "hrv", "ces", "dan", "nld", "eng", "epo", "fao", "fin", "fra", "glg", "deu", "ell", "heb", "hin", "hun", "ind", "gle", "ita", "jpn", "jav", "pam", "kor", "kur", "lat", "lav", "lit", "nds", "ltz", "mkd", "zlm", "mlt"... | 2024-01-04T14:14:23+00:00 | [] | [
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"... | TAGS
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A dataset of all audio files uploaded to LibriVox before 26th September 2023. | [] | [
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538
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e635d3e681034228a91afb5e1891d18da026f809 | # Dataset Card for "colorized_people-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | annyorange/colorized_people-dataset | [
"region:us"
] | 2023-11-26T04:30:46+00:00 | {"dataset_info": {"features": [{"name": "original_image", "dtype": "image"}, {"name": "edit_prompt", "dtype": "string"}, {"name": "colorized_image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 35880418.0, "num_examples": 766}], "download_size": 35928923, "dataset_size": 35880418.0}, "configs": [{"conf... | 2023-11-26T05:40:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "colorized_people-dataset"
More Information needed | [
"# Dataset Card for \"colorized_people-dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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0ecabfa59db5e6853afd5b1832ae07c0ee98e7be | # Dataset Card for "sem_eval_2018_task_1_english_cleaned_labels"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vibhorag101/sem_eval_2018_task_1_english_cleaned_labels | [
"region:us"
] | 2023-11-26T05:09:18+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "ID", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "anger", "d... | 2023-11-26T05:09:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sem_eval_2018_task_1_english_cleaned_labels"
More Information needed | [
"# Dataset Card for \"sem_eval_2018_task_1_english_cleaned_labels\"\n\nMore Information needed"
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91ee1e1f9a842129640583dfebfef94580bc05ec | 此数据集原始数据集是CSpider。根据[b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context)所创建。 | jtjt520j/CSpider_sql_create_context | [
"region:us"
] | 2023-11-26T05:12:51+00:00 | {} | 2023-11-26T05:56:31+00:00 | [] | [] | TAGS
#region-us
| 此数据集原始数据集是CSpider。根据b-mc2/sql-create-context所创建。 | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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7c97b4596c324a2957437506aaa53df9cb2002c9 | 此数据集原始数据集是合并CSpider和DUSQL。根据[b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context)所创建。 | jtjt520j/CSpider_and_DUSQL_sql_create_context | [
"region:us"
] | 2023-11-26T05:34:50+00:00 | {} | 2023-11-26T05:55:35+00:00 | [] | [] | TAGS
#region-us
| 此数据集原始数据集是合并CSpider和DUSQL。根据b-mc2/sql-create-context所创建。 | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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3a901c4995ec6dd61c3aac39a6d4b6654a0955d6 | # Dataset Card for "mimic_tokenized_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | passionMan/mimic_tokenized_dataset | [
"region:us"
] | 2023-11-26T06:13:35+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 4677119610, "num_examples": 1573489}, {"name": "test", "num_bytes": 155905354... | 2023-11-26T16:11:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mimic_tokenized_dataset"
More Information needed | [
"# Dataset Card for \"mimic_tokenized_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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adebde86a55122e8b53210b349d1d732a1790415 |
Backdoor training process
dataset: MNIST
architecture: ResNet18
# Dataset Dir
```
data(input path)
│ index.json(optional, for nosiy model)
│ new_labels.json(optional, for nosiy model)
│ old_labels.json(optional, for nosiy model)
|
└─── sprites
│ │ 0.png
│ │ 1.png
│ │ ...
│
└───Model
│ │ model.py
... | yvonne1123/training_dynamic | [
"region:us"
] | 2023-11-26T07:12:43+00:00 | {} | 2024-02-05T04:15:16+00:00 | [] | [] | TAGS
#region-us
|
Backdoor training process
dataset: MNIST
architecture: ResNet18
# Dataset Dir
| [
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fb69fe0085c89aea889cac7648aa40caf1649a1d | <s>[INST] What career options are available in the field of computer science? [/INST] Computer science offers various paths like software development, data science, and cybersecurity.</s>
<s>[INST] I enjoy helping people. What are some rewarding careers in healthcare? [/INST] Consider careers like nursing, physician as... | wrandhawa/test | [
"region:us"
] | 2023-11-26T07:29:16+00:00 | {} | 2023-11-29T06:24:53+00:00 | [] | [] | TAGS
#region-us
| <s>[INST] What career options are available in the field of computer science? [/INST] Computer science offers various paths like software development, data science, and cybersecurity.</s>
<s>[INST] I enjoy helping people. What are some rewarding careers in healthcare? [/INST] Consider careers like nursing, physician as... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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2e464426e156adc42b869a12f35d60be6b2616c7 | Subset of [cerebras/SlimPajama-627B](https://huggingface.co/datasets/cerebras/SlimPajama-627B),
consisting of 10% of the `train` split and 100% of the `test` and
`validation` splits.
The `train` split consists of `chunk2` from the original
[cerebras/SlimPajama-627B] dataset, split into five zstd-compressed jsonl
files... | venketh/SlimPajama-62B | [
"license:apache-2.0",
"region:us"
] | 2023-11-26T07:39:25+00:00 | {"license": "apache-2.0"} | 2023-11-30T15:24:44+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Subset of cerebras/SlimPajama-627B,
consisting of 10% of the 'train' split and 100% of the 'test' and
'validation' splits.
The 'train' split consists of 'chunk2' from the original
[cerebras/SlimPajama-627B] dataset, split into five zstd-compressed jsonl
files for efficient loading. The dataset is 70 GB compressed, 249... | [] | [
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3eab8853079bc6b0a86d2e99ad19d57f1e953018 |
# Recognize Anything Dataset Card
## Dataset details
**Dataset type:**
These annotation files come from the Recognize Anything Model (RAM). RAM propose an automatic data engine to generate substantial image tags from image-text pairs.
**Dataset date:**
Recognize Anything Dataset was collected in April 2023, by an a... | xinyu1205/recognize-anything-dataset | [
"task_categories:zero-shot-classification",
"size_categories:10M<n<100M",
"language:en",
"license:apache-2.0",
"image recognition",
"region:us"
] | 2023-11-26T07:39:53+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10M<n<100M"], "task_categories": ["zero-shot-classification"], "tags": ["image recognition"]} | 2023-11-28T09:03:12+00:00 | [] | [
"en"
] | TAGS
#task_categories-zero-shot-classification #size_categories-10M<n<100M #language-English #license-apache-2.0 #image recognition #region-us
|
# Recognize Anything Dataset Card
## Dataset details
Dataset type:
These annotation files come from the Recognize Anything Model (RAM). RAM propose an automatic data engine to generate substantial image tags from image-text pairs.
Dataset date:
Recognize Anything Dataset was collected in April 2023, by an automatic... | [
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86276e832abd816a0dc6e0504012285a2da2f018 | # Dataset Card for Scientific Figures, Captions, and Context
A novel vision-language dataset of scientific figures taken directly from research papers.
We scraped approximately ~150k papers, with about ~690k figures total. We extracted each figure's caption and label from the paper. In addition, we searched through eac... | mawadalla/scientific-figures-captions-context | [
"task_categories:visual-question-answering",
"task_categories:document-question-answering",
"size_categories:100K<n<1M",
"language:en",
"region:us"
] | 2023-11-26T08:50:40+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["visual-question-answering", "document-question-answering"], "pretty_name": "Scientific Figures, Captions and Context", "configs": [{"config_name": "Data", "data_files": "merged.json"}]} | 2023-11-27T21:47:52+00:00 | [] | [
"en"
] | TAGS
#task_categories-visual-question-answering #task_categories-document-question-answering #size_categories-100K<n<1M #language-English #region-us
| Dataset Card for Scientific Figures, Captions, and Context
==========================================================
A novel vision-language dataset of scientific figures taken directly from research papers.
We scraped approximately ~150k papers, with about ~690k figures total. We extracted each figure's caption and... | [
"### Usage\n\n\nThe 'URL' file is a mapping between the figure's filename as stored in the repository and its caption, label, and context.\nTo use, you must extract the parts located under dataset/figures/ and keep the raw images in the same directory so that they match the image\\_filename fields.\nThe images are ... | [
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b382a58b0c17cc18aa4b985db340ac2a92f6b12f |
# Dataset Card for Evaluation run of 01-ai/Yi-34B-Chat
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/01-ai/Yi-34B-Chat
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Da... | open-llm-leaderboard/details_01-ai__Yi-34B-Chat | [
"region:us"
] | 2023-11-26T08:58:33+00:00 | {"pretty_name": "Evaluation run of 01-ai/Yi-34B-Chat", "dataset_summary": "Dataset automatically created during the evaluation run of model [01-ai/Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is com... | 2023-12-05T03:50:56+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of 01-ai/Yi-34B-Chat
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model 01-ai/Yi-34B-Chat on the Open LLM Leaderboard.
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5282a2936020f892c6d9ab559212b41446e2b2db |
Training dataset for Alpaca-LoRA negation of [PEM composition](https://arxiv.org/abs/2306.14870).
Instructions for model evaluation on helpfulness and toxicity.
More concise interpretation can be found at [Git repo](https://github.com/hkust-nlp/PEM_composition).
**Toxic datasets abusement is dangerous for AI commu... | jinghan23/DatasetofPEMCompostition | [
"license:cc-by-nc-4.0",
"arxiv:2306.14870",
"region:us"
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"2306.14870"
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#license-cc-by-nc-4.0 #arxiv-2306.14870 #region-us
|
Training dataset for Alpaca-LoRA negation of PEM composition.
Instructions for model evaluation on helpfulness and toxicity.
More concise interpretation can be found at Git repo.
Toxic datasets abusement is dangerous for AI community, so this repo is gated and users have to request for approval. | [] | [
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576ad9d00dd764ef1d1fdee59b5fc39dab0a5d31 | # German BGB Law Dataset (Bürgerliches Gesetzbuch)
## Dataset Description
- **Date of Last Paragraph Update:** April 2023
- **Dataset Guarantee:** The dataset is provided "as is," and there is no guarantee for the correctness or completeness of the data.
### Dataset Summary
The BGB Law Dataset contains legal text f... | nookbe/Buergerliches_Gesetzbuch_BGB | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:de",
"license:mit",
"legal",
"region:us"
] | 2023-11-26T10:15:25+00:00 | {"language": ["de"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "BGB", "tags": ["legal"]} | 2023-11-26T11:44:58+00:00 | [] | [
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#task_categories-text-classification #size_categories-1K<n<10K #language-German #license-mit #legal #region-us
| # German BGB Law Dataset (Bürgerliches Gesetzbuch)
## Dataset Description
- Date of Last Paragraph Update: April 2023
- Dataset Guarantee: The dataset is provided "as is," and there is no guarantee for the correctness or completeness of the data.
### Dataset Summary
The BGB Law Dataset contains legal text from the ... | [
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6a433bbc30bea2d1053484c4bdfb75673044561a |
A dataset containing safe and vulnerable code to fine-tune a llm for defect detection.
The data is extracted from the wonderful work in the [CVEFixes](https://github.com/secureIT-project/CVEfixes) repository.
Citation:
```
@inproceedings{bhandari2021:cvefixes,
title = {{CVEfixes: Automated Collection of Vulne... | mcanoglu/defect-detection | [
"license:mit",
"region:us"
] | 2023-11-26T10:21:37+00:00 | {"license": "mit"} | 2024-01-18T19:23:19+00:00 | [] | [] | TAGS
#license-mit #region-us
|
A dataset containing safe and vulnerable code to fine-tune a llm for defect detection.
The data is extracted from the wonderful work in the CVEFixes repository.
Citation:
| [] | [
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1600f263c2b5d25fdbcc329920ad228e550487d4 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This repository contains a machine-translated French version of [SICK](https://huggingface.co/datasets/sick) (Sentences Involving Compositional ... | maximoss/sick-fr-mt | [
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"region:us"
] | 2023-11-26T10:23:05+00:00 | {"language": ["fr"], "license": "cc-by-nc-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference", "multi-input-text-classification"]} | 2024-02-04T12:28:57+00:00 | [] | [
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| Dataset Card for Dataset Name
=============================
Dataset Description
-------------------
* Homepage:
* Repository:
* Paper:
* Leaderboard:
* Point of Contact:
### Dataset Summary
This repository contains a machine-translated French version of SICK (Sentences Involving Compositional Knowldedge) datase... | [
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13f659af83fe0caa5211bf09ee724cb969090b66 | # Dataset Card for "hh-rlhf-harmyes"
Original Dataset: https://huggingface.co/datasets/Anthropic/hh-rlhf
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | maywell/hh-rlhf-harmyes | [
"region:us"
] | 2023-11-26T11:37:39+00:00 | {"dataset_info": {"features": [{"name": "rejected", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19681345, "num_examples": 42537}], "download_size": 0, "dataset_size": 19681345}, "configs": [{"config_name": "default", "... | 2023-11-26T22:41:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hh-rlhf-harmyes"
Original Dataset: URL
More Information needed | [
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483baff3c76ef955c6fc985a989c5cad5d813f8f | license: mit
task_categories:
- text-classification
language:
- de
tags:
- legal
pretty_name: HGB
size_categories:
- 1K<n<10K
---
# German HGB Law Dataset (Handelsgesetzbuch)
## Dataset Description
- **Date of Last Paragraph Update:** April 2023
- **Dataset Guarantee:** The dataset is provided "as is," and there is n... | nookbe/Handelsgesetzbuch_HGB | [
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"legal",
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] | 2023-11-26T11:48:25+00:00 | {"language": ["de"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "HGB", "tags": ["legal"]} | 2023-11-26T11:53:18+00:00 | [] | [
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| license: mit
task_categories:
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language:
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tags:
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pretty_name: HGB
size_categories:
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---
# German HGB Law Dataset (Handelsgesetzbuch)
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025711a56ed995922ae134a3e4fcab866141edf9 | PIPPA and Bluemoon datasets were combined and alternated between the two. | ricecake/PIPPA_and_Bluemoon | [
"region:us"
] | 2023-11-26T12:19:51+00:00 | {} | 2023-11-26T12:47:45+00:00 | [] | [] | TAGS
#region-us
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fc0af35e70b23cd4f01e7154e7680728b1aab62a | # Dataset Card for "meu_site_juridico_perguntas_e_respostas"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | celsowm/meu_site_juridico_perguntas_e_respostas | [
"region:us"
] | 2023-11-26T12:41:17+00:00 | {"dataset_info": {"features": [{"name": "titulo", "dtype": "string"}, {"name": "conteudo", "dtype": "string"}, {"name": "link", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1937556, "num_examples": 1596}], "download_size": 1064237, "dataset_size": 1937556}, "configs": [{"config_name": "default", "data... | 2023-11-26T12:49:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "meu_site_juridico_perguntas_e_respostas"
More Information needed | [
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8d425954bf27aeb5c873710c06280e64fa78a290 |
# **Math QA**
This dataset is processed from [camel-ai/math](https://huggingface.co/datasets/camel-ai/math).
## 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:/... | rvv-karma/Math-QA | [
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] | 2023-11-26T14:00:10+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "task_categories": ["text-generation"], "pretty_name": "Math QA", "dataset_info": {"features": [{"name": "topic", "dtype": "string"}, {"name": "sub_topic", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"na... | 2023-11-26T14:10:01+00:00 | [
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|
# Math QA
This dataset is processed from camel-ai/math.
## 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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bcb339e04b249534dd9c3842f8b238030e44af19 |
# DarijaBridge Dataset Card
### General Information
- **Dataset Name:** DarijaBridge
- **Version:** 1.0
- **Creator:** MAD-Community
- **Language:** Darija (Moroccan Arabic) and English
- **Total Tokens:** 41,845,467 (in 'sentence' column)
- **Task:** Machine Translation
### Dataset Summary
DarijaBridge is a commu... | M-A-D/DarijaBridge | [
"task_categories:translation",
"size_categories:1M<n<10M",
"language:ar",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-11-26T14:08:17+00:00 | {"language": ["ar", "en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["translation"], "pretty_name": "DarijaBridge", "dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "translation", "dtype": "string"}, {"name": "translated", "dtype": "bool"}, {"name": "co... | 2023-11-26T14:17:11+00:00 | [] | [
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|
# DarijaBridge Dataset Card
### General Information
- Dataset Name: DarijaBridge
- Version: 1.0
- Creator: MAD-Community
- Language: Darija (Moroccan Arabic) and English
- Total Tokens: 41,845,467 (in 'sentence' column)
- Task: Machine Translation
### Dataset Summary
DarijaBridge is a community-driven bilingual co... | [
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2759c729b734e4a2891218386dd25b8ef8e8fcc6 |
1. **Columns:**
- **Non-Technical Role:** Specifies the role being assessed (e.g., Content Developer).
- **Assessment Domain:** Denotes the skill or attribute being evaluated (e.g., Adaptability).
- **Question:** The actual assessment question.
2. **Content Overview:**
- The dataset is focused on assessin... | Sumsam/QnA_for_Non-Technical_Roles | [
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- Non-Technical Role: Specifies the role being assessed (e.g., Content Developer).
- Assessment Domain: Denotes the skill or attribute being evaluated (e.g., Adaptability).
- Question: The actual assessment question.
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- The dataset is focused on assessing various competenci... | [] | [
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b4285637564d2566cee0ebd55f2b1fe7f44534c9 | # Dataset Card for "Urdu-Instruct-News-Article-Generation"
This Dataset is converted from the [original dataset](https://data.mendeley.com/datasets/834vsxnb99/3) by Khalid Hussain, Nimra Mughal, Irfan Ali, Saif Hassan, Sher Muhammad Daudpota.
## Task:
Generate the News Article from the given headline.
## Split Size:... | AhmadMustafa/Urdu-Instruct-News-Article-Generation | [
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| # Dataset Card for "Urdu-Instruct-News-Article-Generation"
This Dataset is converted from the original dataset by Khalid Hussain, Nimra Mughal, Irfan Ali, Saif Hassan, Sher Muhammad Daudpota.
## Task:
Generate the News Article from the given headline.
## Split Size:
- train: 100674
- test: 11187
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ca9866fc035a4d628052fe9011ee050bfe0dc539 | # Dataset Card for "Urdu-Instruct-News-Category-Classification"
This Dataset is converted from the [original dataset](https://data.mendeley.com/datasets/834vsxnb99/3) by Khalid Hussain, Nimra Mughal, Irfan Ali, Saif Hassan, Sher Muhammad Daudpota.
## Task:
Generate the News Paragraph, and classify the news category f... | AhmadMustafa/Urdu-Instruct-News-Category-Classification | [
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| # Dataset Card for "Urdu-Instruct-News-Category-Classification"
This Dataset is converted from the original dataset by Khalid Hussain, Nimra Mughal, Irfan Ali, Saif Hassan, Sher Muhammad Daudpota.
## Task:
Generate the News Paragraph, and classify the news category from it.
## Split Size:
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0a7a575c9687d93ee5449d8f2cba4954fb5945cd | # Dataset Card for "Urdu-Instruct-News-Headline-Generation"
This Dataset is converted from the [original dataset](https://data.mendeley.com/datasets/834vsxnb99/3) by Khalid Hussain, Nimra Mughal, Irfan Ali, Saif Hassan, Sher Muhammad Daudpota.
## Task:
Generate the News Headline from the given News.
## Split Size:
-... | AhmadMustafa/Urdu-Instruct-News-Headline-Generation | [
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This Dataset is converted from the original dataset by Khalid Hussain, Nimra Mughal, Irfan Ali, Saif Hassan, Sher Muhammad Daudpota.
## Task:
Generate the News Headline from the given News.
## Split Size:
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- test: 11187
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83188e5394182f28d80c194ae94f5205cb70f891 | # Dataset Card for Dataset Name
This dataset was created by modifying and adapting the [allenai/QASPER: a dataset for question answering on scientific research papers](https://huggingface.co/datasets/allenai/qasper) dataset
and **aims to generate Question-Answer Pairs from the Abstract, Introduction of an NLP Paper**.... | UNIST-Eunchan/NLP-Paper-to-QA-Generation | [
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| # Dataset Card for Dataset Name
This dataset was created by modifying and adapting the allenai/QASPER: a dataset for question answering on scientific research papers dataset
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### Dataset Description
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c97848ff6fc39853d20658b787c58c806583a705 |
Link to the project: https://www.corpusitaliano.it/it/index.html
The PAISÀ corpus is an extensive collection of authentic Italian language texts taken from the Internet. The compilation of contemporary texts was created within the framework of the PAISÀ project (Platform for Learning Italian through Annotated Corpora... | KarlGauss/paisa_corpus | [
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e078661215ff037467c49631e2fe16b14cf8a66c |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This repository contains a machine-translated Modern Greek version of [SICK](https://huggingface.co/datasets/sick) (Sentences Involving Composit... | maximoss/sick_el-gr_mt | [
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| Dataset Card for Dataset Name
=============================
Dataset Description
-------------------
* Homepage:
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4b6d417268c83e232a77a44926ea803066a4cbb1 | # Dataset Card for "bundestagv2"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Dataset Structure](#dataset-structure)
- [Data Instances](... | Yaasr/bundestagv2 | [
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| # Dataset Card for "bundestagv2"
## Table of Contents
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- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Dataset Structure
- Data Instances
- Data Fields
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- Dataset Creation
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9744dbd9ac608954336243052086800eb2be2c66 | # Dataset Card for "Thermostability_reg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lhallee/Thermostability_reg | [
"region:us"
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395a8e00f5a2d8b7c3f1cd2bb676ebdb78caa5cf | # Dataset Card for "Thermostability_fold"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lhallee/Thermostability_fold | [
"region:us"
] | 2023-11-26T18:05:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "seqs", "dtype": "string"}, {"name": "labels", "dtype": "float64"}], "splits": [{"name": "tra... | 2023-11-26T18:05:33+00:00 | [] | [] | TAGS
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6700cc76d72155080d4f6dc6f2a5b16845a3010e | # Dataset Card for "anoel-11-26"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Chunt0/anoel-11-26 | [
"region:us"
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| # Dataset Card for "anoel-11-26"
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e3ffed903b9dad7fc9273a484d2cd396ed1157ff |
# Annotation
Annotated this [dataset](https://www.kaggle.com/datasets/srbhshinde/flickr8k-sau) by clasifying the images into slow, medium or fast depending on the suitable paced background music. | onlycaps/flickr8k-sau-pace-annotated | [
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# Annotation
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6376281fe19ff5bcfd13c4a6ed851bd4c5339b24 | # Dataset Card for "elephants"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mespinosami/elephants | [
"region:us"
] | 2023-11-26T18:53:42+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "eles", "1": "no_eles"}}}}], "splits": [{"name": "train", "num_bytes": 14514122908.549025, "num_examples": 159283}, {"name": "test", "num_bytes": 3662606794.077976, "num_examples": 39821}], "do... | 2023-11-26T19:16:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "elephants"
More Information needed | [
"# Dataset Card for \"elephants\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"elephants\"\n\nMore Information needed"
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6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"elephants\"\n\nMore Information needed"
] |
51e167b4a21fddf4ae218636e0ffda1a3e68d79d | # Dataset Card for "evaluation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | HossainRabby/evaluation | [
"region:us"
] | 2023-11-26T19:50:31+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "predicted_answer", "dtype": "string"}, {"name": "target_answer", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int32"}],... | 2023-11-27T13:11:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "evaluation"
More Information needed | [
"# Dataset Card for \"evaluation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"evaluation\"\n\nMore Information needed"
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6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"evaluation\"\n\nMore Information needed"
] |
73a30aab435561044cbd3decef5279d5153c40e7 | # Social Network: MOOC User Action Dataset
[Link to original dataset]((https://snap.stanford.edu/data/act-mooc.html))
The MOOC user action dataset represents the actions taken by users on a popular MOOC platform. The actions have attributes and timestamps. Additionally, each action has a binary label, representing wh... | sswt/stanford-act-mooc | [
"region:us"
] | 2023-11-26T19:58:55+00:00 | {} | 2023-11-27T08:25:13+00:00 | [] | [] | TAGS
#region-us
| # Social Network: MOOC User Action Dataset
Link to original dataset)
The MOOC user action dataset represents the actions taken by users on a popular MOOC platform. The actions have attributes and timestamps. Additionally, each action has a binary label, representing whether the user dropped-out of the course after th... | [
"# Social Network: MOOC User Action Dataset\n\nLink to original dataset)\n\nThe MOOC user action dataset represents the actions taken by users on a popular MOOC platform. The actions have attributes and timestamps. Additionally, each action has a binary label, representing whether the user dropped-out of the course... | [
"TAGS\n#region-us \n",
"# Social Network: MOOC User Action Dataset\n\nLink to original dataset)\n\nThe MOOC user action dataset represents the actions taken by users on a popular MOOC platform. The actions have attributes and timestamps. Additionally, each action has a binary label, representing whether the user ... | [
6,
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"passage: TAGS\n#region-us \n# Social Network: MOOC User Action Dataset\n\nLink to original dataset)\n\nThe MOOC user action dataset represents the actions taken by users on a popular MOOC platform. The actions have attributes and timestamps. Additionally, each action has a binary label, representing whether the us... |
7b9db8ea786738263bc38b35f73f091479ebbdf0 |
# Strike-T1
dataset_info:
features:
- name: image
dtype: image
- name: cr
dtype: int64
splits:
- name: train
num_bytes: 162832.0
num_examples: 12
download_size: 70261
dataset_size: 162832.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
| hsienchen/strike-T1 | [
"task_categories:feature-extraction",
"size_categories:1M<n<10M",
"language:av",
"language:ae",
"license:mit",
"code",
"medical",
"region:us"
] | 2023-11-26T20:05:22+00:00 | {"language": ["av", "ae"], "license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["feature-extraction"], "pretty_name": "Strike_thru2", "tags": ["code", "medical"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name":... | 2023-11-26T20:19:45+00:00 | [] | [
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"ae"
] | TAGS
#task_categories-feature-extraction #size_categories-1M<n<10M #language-Avaric #language-Avestan #license-mit #code #medical #region-us
|
# Strike-T1
dataset_info:
features:
- name: image
dtype: image
- name: cr
dtype: int64
splits:
- name: train
num_bytes: 162832.0
num_examples: 12
download_size: 70261
dataset_size: 162832.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
| [
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3b634eabb55b6268e8bed9c8a54d8335835cc571 |
# Dataset of ch'en (Arknights)
This is the dataset of ch'en (Arknights), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/d... | AppleHarem/ch_en_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-26T20:29:58+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-26T20:30:48+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of ch'en (Arknights)
============================
This is the dataset of ch'en (Arknights), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleAppleWebUI)
| [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
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d34776ba21ef8f02d1349349adedcb959060f3f5 | # Dataset Card for "hii"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | HossainRabby/UpdatedDataset | [
"region:us"
] | 2023-11-26T20:30:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_ma... | 2023-11-28T18:25:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hii"
More Information needed | [
"# Dataset Card for \"hii\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hii\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"hii\"\n\nMore Information needed"
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a2061d30db07e32f34f5d50160bb77b8f4891f78 | # Weather prediction prototype database.
This database was made using data provided by KMI.
This database will only be used to train a prototype.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
### Dataset Sources [optional]
<!-- Provide the basic links for t... | syntaxnoob/weather-prediction-prototype-aws | [
"size_categories:100K<n<1M",
"license:unlicense",
"region:us"
] | 2023-11-26T20:47:42+00:00 | {"license": "unlicense", "size_categories": ["100K<n<1M"]} | 2023-11-30T13:24:58+00:00 | [] | [] | TAGS
#size_categories-100K<n<1M #license-unlicense #region-us
| # Weather prediction prototype database.
This database was made using data provided by KMI.
This database will only be used to train a prototype.
## Dataset Details
### Dataset Description
### Dataset Sources [optional]
- KMI
## Dataset Structure
Normalized columns:
- timestamp
- air_pressure
- relative_hum... | [
"# Weather prediction prototype database.\n\nThis database was made using data provided by KMI.\n\nThis database will only be used to train a prototype.",
"## Dataset Details",
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"### Dataset Sources [optional]\n\n\n- KMI",
"## Dataset Structure\n\nNormalized columns: \n- timestamp\... | [
"TAGS\n#size_categories-100K<n<1M #license-unlicense #region-us \n",
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"## Dataset Details",
"### Dataset Description",
"### Dataset Sources [optional]\n\n... | [
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"passage: TAGS\n#size_categories-100K<n<1M #license-unlicense #region-us \n# Weather prediction prototype database.\n\nThis database was made using data provided by KMI.\n\nThis database will only be used to train a prototype.## Dataset Details### Dataset Description### Dataset Sources [optional]\n\n\n- KMI## Datas... |
5ef31251dcb6a2038bcaa41fb4e4447706568454 |
This is a GPT-4 generated question-and-answer dataset based on [The Elements](https://www.amazon.com/Elements-Visual-Exploration-Every-Universe/dp/1579128955/) by [Theodore Gray](https://home.theodor... | Tony-Yuan/TheElements | [
"license:apache-2.0",
"region:us"
] | 2023-11-26T20:52:53+00:00 | {"license": "apache-2.0", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": ["train.csv"]}]}]} | 2023-11-27T03:05:55+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
!image/png
This is a GPT-4 generated question-and-answer dataset based on The Elements by Theodore Gray.
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
a4332e42473cb51aeacfeea5df763e169f48ef10 |
# Bangumi Image Base of Great Pretender
This is the image base of bangumi Great Pretender, we detected 50 characters, 3820 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train mode... | BangumiBase/greatpretender | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-26T21:59:38+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-27T00:43:49+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Great Pretender
=====================================
This is the image base of bangumi Great Pretender, we detected 50 characters, 3820 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend ... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
273cb1eec620664ae334312a505db42b0e4fbd85 |
# Bangumi Image Base of Magi - The Labyrinth Of Magic
This is the image base of bangumi Magi - The Labyrinth of Magic, we detected 100 characters, 7708 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you ... | BangumiBase/magithelabyrinthofmagic | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-26T22:01:03+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-27T01:34:39+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Magi - The Labyrinth Of Magic
===================================================
This is the image base of bangumi Magi - The Labyrinth of Magic, we detected 100 characters, 7708 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleane... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
9b3117b86b52b7e80b49aaa03689ef1a8001bed6 | # NLtoCypherDataset
## Description
This dataset, named "NLtoCypherDataset", is designed for the task of translating natural language instructions into Cypher query language. It is particularly useful for training and evaluating models on sequence-to-sequence tasks where the input is a natural language instruction, an... | MidhunKanadan/NLtoCypherDataset | [
"license:mit",
"region:us"
] | 2023-11-26T22:06:35+00:00 | {"license": "mit"} | 2023-11-26T22:17:20+00:00 | [] | [] | TAGS
#license-mit #region-us
| # NLtoCypherDataset
## Description
This dataset, named "NLtoCypherDataset", is designed for the task of translating natural language instructions into Cypher query language. It is particularly useful for training and evaluating models on sequence-to-sequence tasks where the input is a natural language instruction, an... | [
"# NLtoCypherDataset",
"## Description\n\nThis dataset, named \"NLtoCypherDataset\", is designed for the task of translating natural language instructions into Cypher query language. It is particularly useful for training and evaluating models on sequence-to-sequence tasks where the input is a natural language in... | [
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"# NLtoCypherDataset",
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"passage: TAGS\n#license-mit #region-us \n# NLtoCypherDataset## Description\n\nThis dataset, named \"NLtoCypherDataset\", is designed for the task of translating natural language instructions into Cypher query language. It is particularly useful for training and evaluating models on sequence-to-sequence tasks where... |
3a2a34c0c35aac0293fca20e06deeb09b645cf4f | # Pontoon Translations
Amazigh subset of [Pontoon Translations](https://huggingface.co/datasets/ayymen/Pontoon-Translations). | Tamazight-NLP/Pontoon-Translations | [
"task_categories:translation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:ber",
"language:zgh",
"language:kab",
"language:tzm",
"language:shi",
"language:en",
"license:mpl-2.0",
"region:us"
] | 2023-11-26T22:08:41+00:00 | {"language": ["ber", "zgh", "kab", "tzm", "shi", "en"], "license": "mpl-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["translation", "text2text-generation"], "pretty_name": "Pontoon Translations", "configs": [{"config_name": "en-zgh", "data_files": "en-zgh.tsv", "default": true}, {"config_name": "en-kab"... | 2024-01-15T13:58:49+00:00 | [] | [
"ber",
"zgh",
"kab",
"tzm",
"shi",
"en"
] | TAGS
#task_categories-translation #task_categories-text2text-generation #size_categories-10K<n<100K #language-ber #language-Standard Moroccan Tamazight #language-Kabyle #language-Central Atlas Tamazight #language-Tachelhit #language-English #license-mpl-2.0 #region-us
| # Pontoon Translations
Amazigh subset of Pontoon Translations. | [
"# Pontoon Translations\nAmazigh subset of Pontoon Translations."
] | [
"TAGS\n#task_categories-translation #task_categories-text2text-generation #size_categories-10K<n<100K #language-ber #language-Standard Moroccan Tamazight #language-Kabyle #language-Central Atlas Tamazight #language-Tachelhit #language-English #license-mpl-2.0 #region-us \n",
"# Pontoon Translations\nAmazigh subse... | [
87,
16
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344b171f556fa51f0480a0643fa3c94f6e514fc9 | ```
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: annotator_labels
seque... | UMCU/MultiNLI_Dutch_translated_with_Marianmt | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"language:nl",
"license:creativeml-openrail-m",
"arxiv:1910.13461",
"doi:10.57967/hf/1417",
"region:us"
] | 2023-11-26T22:24:32+00:00 | {"language": ["nl"], "license": "creativeml-openrail-m", "size_categories": ["100K<n<1M"], "task_categories": ["sentence-similarity"], "pretty_name": "Dutch MultiNLI(MM) using MariaNMT", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "da... | 2023-12-01T19:21:37+00:00 | [
"1910.13461"
] | [
"nl"
] | TAGS
#task_categories-sentence-similarity #size_categories-100K<n<1M #language-Dutch #license-creativeml-openrail-m #arxiv-1910.13461 #doi-10.57967/hf/1417 #region-us
|
# Dataset Card for "MultiNLI_Dutch_translated_with_Marianmt"
Translation of the English corpus Multi-Genre Natural Language Inference (MultiNLI) corpus ,
specifically the *mismatched version*, to Dutch using an Maria NMT model,
trained by Helsinki NLP.
Note, for reference: Maria NMT is based on BART, described here... | [
"# Dataset Card for \"MultiNLI_Dutch_translated_with_Marianmt\"\n\nTranslation of the English corpus Multi-Genre Natural Language Inference (MultiNLI) corpus , \nspecifically the *mismatched version*, to Dutch using an Maria NMT model, \ntrained by Helsinki NLP.\nNote, for reference: Maria NMT is based on BART, des... | [
"TAGS\n#task_categories-sentence-similarity #size_categories-100K<n<1M #language-Dutch #license-creativeml-openrail-m #arxiv-1910.13461 #doi-10.57967/hf/1417 #region-us \n",
"# Dataset Card for \"MultiNLI_Dutch_translated_with_Marianmt\"\n\nTranslation of the English corpus Multi-Genre Natural Language Inference ... | [
70,
111,
34,
196
] | [
"passage: TAGS\n#task_categories-sentence-similarity #size_categories-100K<n<1M #language-Dutch #license-creativeml-openrail-m #arxiv-1910.13461 #doi-10.57967/hf/1417 #region-us \n# Dataset Card for \"MultiNLI_Dutch_translated_with_Marianmt\"\n\nTranslation of the English corpus Multi-Genre Natural Language Inferen... |
3caf796a6fb6cb69efb2b630d36330bda0fd1b48 |
# Bangumi Image Base of Vivy - Fluorite Eye's Song
This is the image base of bangumi Vivy - Fluorite Eye's Song, we detected 41 characters, 2718 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend ... | BangumiBase/vivyfluoriteeyessong | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-26T22:30:04+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-27T00:32:35+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Vivy - Fluorite Eye's Song
================================================
This is the image base of bangumi Vivy - Fluorite Eye's Song, we detected 41 characters, 2718 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they ma... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
dece01f323c9c7b510e78ad2d3a813e6a7df784b | a | xshubhamx/places-5 | [
"region:us"
] | 2023-11-26T22:39:10+00:00 | {} | 2023-11-26T23:29:05+00:00 | [] | [] | TAGS
#region-us
| a | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
478cd878f1dfd2ffc1b98e023cd5dc8678242c78 |
Samples from the LFW dataset. Samples where there is one more face per user were selected. They were then partitioned into two directories: ingestion and recovery. This was done to test a facial recognition system. | vilsonrodrigues/lfw | [
"license:apache-2.0",
"region:us"
] | 2023-11-26T23:49:09+00:00 | {"license": "apache-2.0"} | 2023-11-27T00:53:06+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Samples from the LFW dataset. Samples where there is one more face per user were selected. They were then partitioned into two directories: ingestion and recovery. This was done to test a facial recognition system. | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
d62809e3f5ad8e21c2473c997364815993cae97a | Wikipedia日本語版データセット(izumi-lab/wikipedia-ja-20230720)を元にGPT-3.5-Turboで会話文を生成したデータセットです GPT-3.5-Turboを使用しました。 | shi3z/Japanese_wikipedia_conversation_100K | [
"license:mit",
"region:us"
] | 2023-11-27T00:11:17+00:00 | {"license": "mit"} | 2023-11-27T00:12:50+00:00 | [] | [] | TAGS
#license-mit #region-us
| Wikipedia日本語版データセット(izumi-lab/wikipedia-ja-20230720)を元にGPT-3.5-Turboで会話文を生成したデータセットです GPT-3.5-Turboを使用しました。 | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
fdff1caa072665842e610dfb968b2b19003ce62b | # Dataset Card for "autotrain-data-anm2-25mh-u5jo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | healthcorum/autotrain-data-anm2-25mh-u5jo | [
"region:us"
] | 2023-11-27T00:29:51+00:00 | {"dataset_info": {"features": [{"name": "target", "dtype": "string"}, {"name": "autotrain_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36008183, "num_examples": 9998}, {"name": "validation", "num_bytes": 36008183, "num_examples": 9998}], "download_size": 11959104, "dataset_size": 72016366}, "co... | 2023-11-27T00:29:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-anm2-25mh-u5jo"
More Information needed | [
"# Dataset Card for \"autotrain-data-anm2-25mh-u5jo\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"autotrain-data-anm2-25mh-u5jo\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"autotrain-data-anm2-25mh-u5jo\"\n\nMore Information needed"
] |
d55d2946100e0a50d8927d788634c94e14622e66 | # Dataset Card for "emb-hotpotqa-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-hotpotqa-train | [
"region:us"
] | 2023-11-27T01:04:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "neg", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], ... | 2023-11-27T01:04:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-hotpotqa-train"
More Information needed | [
"# Dataset Card for \"emb-hotpotqa-train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-hotpotqa-train\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-hotpotqa-train\"\n\nMore Information needed"
] |
8d37eb0b74c3494a6ed94f28ce6403bbb3bb1ba0 | # Dataset Card for "reverse_squad"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | edsealing/reverse_squad | [
"region:us"
] | 2023-11-27T01:29:35+00:00 | {"dataset_info": {"features": [{"name": "numqas", "dtype": "int64"}, {"name": "context", "dtype": "string"}, {"name": "qas", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28879823, "num_examples": 18896}], "download_size": 15715321, "dataset_size": 28879823}, "configs": [{"config_name": "default", "dat... | 2023-11-27T01:29:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "reverse_squad"
More Information needed | [
"# Dataset Card for \"reverse_squad\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"reverse_squad\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"reverse_squad\"\n\nMore Information needed"
] |
9277ebcac47a2ea35bd88d805f4306ff703e08a6 | # Dataset Card for "emb-pubmed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-pubmed | [
"region:us"
] | 2023-11-27T01:43:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2023-11-27T01:43:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-pubmed"
More Information needed | [
"# Dataset Card for \"emb-pubmed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-pubmed\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-pubmed\"\n\nMore Information needed"
] |
9710b3dca6a58a3823bb9f25b660a8b4dff99d66 | # Dataset Card for "emb-medmcqa-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-medmcqa-train | [
"region:us"
] | 2023-11-27T01:52:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2023-11-27T01:52:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-medmcqa-train"
More Information needed | [
"# Dataset Card for \"emb-medmcqa-train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-medmcqa-train\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-medmcqa-train\"\n\nMore Information needed"
] |
e92819bfad8706c5f4fdd65a0e2c19a578dcef6f | # Dataset Card for "emb-record_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-record_train | [
"region:us"
] | 2023-11-27T01:56:12+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2023-11-27T01:56:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-record_train"
More Information needed | [
"# Dataset Card for \"emb-record_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-record_train\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-record_train\"\n\nMore Information needed"
] |
735ca417ec8275d378a0de045650041169650b16 | # Dataset Card for "mimic_tokenized_dataset_balanced"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | passionMan/mimic_tokenized_dataset_balanced | [
"region:us"
] | 2023-11-27T02:08:52+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 1283535100, "num_examples": 431743}, {"name": "test", "num_bytes": 427844521,... | 2023-11-27T02:09:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mimic_tokenized_dataset_balanced"
More Information needed | [
"# Dataset Card for \"mimic_tokenized_dataset_balanced\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mimic_tokenized_dataset_balanced\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"mimic_tokenized_dataset_balanced\"\n\nMore Information needed"
] |
042e23609985fac8e962eeeb729b5c044721aa55 | # Dataset Card for "emb-scitldr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-scitldr | [
"region:us"
] | 2023-11-27T02:12:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2023-11-27T02:12:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-scitldr"
More Information needed | [
"# Dataset Card for \"emb-scitldr\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-scitldr\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-scitldr\"\n\nMore Information needed"
] |
7dd15604cd49602b4ed66c8769204fb50b9c3a5c | # Dataset Card for "emb-trex-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-trex-train | [
"region:us"
] | 2023-11-27T02:24:30+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "neg", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], ... | 2023-11-27T02:26:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-trex-train"
More Information needed | [
"# Dataset Card for \"emb-trex-train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-trex-train\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-trex-train\"\n\nMore Information needed"
] |
6a4b3e9a9ae5593a819ee29b09beeb835e8541b3 | # Dataset Card for "emb-triviaqa-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-triviaqa-train | [
"region:us"
] | 2023-11-27T02:28:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "neg", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], ... | 2023-11-27T02:28:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-triviaqa-train"
More Information needed | [
"# Dataset Card for \"emb-triviaqa-train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-triviaqa-train\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-triviaqa-train\"\n\nMore Information needed"
] |
0161388f93bfbbc56d22312f67a4cfeced53e9af | # Dataset Card for "emb-wow-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-wow-train | [
"region:us"
] | 2023-11-27T02:31:04+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "neg", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], ... | 2023-11-27T02:31:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-wow-train"
More Information needed | [
"# Dataset Card for \"emb-wow-train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-wow-train\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-wow-train\"\n\nMore Information needed"
] |
d79536afafe5c75a533ca0a0208667cf8835a82a | # Dataset Card for "emb-zeroshot-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-zeroshot-train | [
"region:us"
] | 2023-11-27T02:31:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "neg", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], ... | 2023-11-27T02:31:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-zeroshot-train"
More Information needed | [
"# Dataset Card for \"emb-zeroshot-train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-zeroshot-train\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emb-zeroshot-train\"\n\nMore Information needed"
] |
255ec54b4e4ffe8300b27fe6c4c9ec8b6dad0a2a |
# Mosaic format for instructions dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-instructions.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
3. 409... | malaysia-ai/mosaic-instructions | [
"language:ms",
"region:us"
] | 2023-11-27T03:05:24+00:00 | {"language": ["ms"]} | 2023-11-28T08:19:27+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #region-us
|
# Mosaic format for instructions dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at URL
2. using tokenizer URL
3. 4096 context length.
## how-to
1. git clone,
2. load it,
| [
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] |
a04976789be99481a29dd26baba421467d9517e0 |
# Mosaic format for extra dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-extra.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
3. 4096 context leng... | malaysia-ai/mosaic-extra | [
"language:ms",
"region:us"
] | 2023-11-27T03:08:53+00:00 | {"language": ["ms"]} | 2023-11-28T08:13:23+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #region-us
|
# Mosaic format for extra dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at URL
2. using tokenizer URL
3. 4096 context length.
## how-to
1. git clone,
2. load it,
| [
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] |
a24622fdfe9effd333bdb2950b6d0c9f2bf4e95b |
# Mosaic format for extra dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-madlad-400-ms.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
3. 4096 cont... | malaysia-ai/mosaic-madlad-400-ms | [
"language:ms",
"region:us"
] | 2023-11-27T03:14:00+00:00 | {"language": ["ms"]} | 2023-11-28T08:17:38+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #region-us
|
# Mosaic format for extra dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at URL
2. using tokenizer URL
3. 4096 context length.
## how-to
1. git clone,
2. load it,
| [
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] |
edfa72fb434a47de964572f839bcbfffeb8dea98 |
# Mosaic format for dedup text dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-dedup-text-dataset-4096.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokeniz... | malaysia-ai/mosaic-dedup-text-dataset | [
"language:ms",
"region:us"
] | 2023-11-27T03:14:16+00:00 | {"language": ["ms"]} | 2023-12-01T02:16:36+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #region-us
|
# Mosaic format for dedup text dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at URL
2. using tokenizer URL
3. 4096 context length.
## how-to
1. git clone,
2. load it,
| [
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] |
1168c5eb007ec4dccc01e26641b690b15749963f | # Dataset Card for "omcs_dataset_full_with_embeds"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dutta18/omcs_dataset_full_with_embeds | [
"region:us"
] | 2023-11-27T03:31:24+00:00 | {"dataset_info": {"features": [{"name": "fact", "dtype": "string"}, {"name": "count", "dtype": "int64"}, {"name": "embeddings", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 4951309139, "num_examples": 1578238}], "download_size": 5895178326, "dataset_size": 4951309139}} | 2023-11-27T03:37:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "omcs_dataset_full_with_embeds"
More Information needed | [
"# Dataset Card for \"omcs_dataset_full_with_embeds\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"omcs_dataset_full_with_embeds\"\n\nMore Information needed"
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88590db770d73c6c26f918d701dba4bbd73f265b | # Dataset Card for "emb-reddit-title-body"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | multi-train/emb-reddit-title-body | [
"region:us"
] | 2023-11-27T03:33:05+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "task_name", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2023-11-27T06:18:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emb-reddit-title-body"
More Information needed | [
"# Dataset Card for \"emb-reddit-title-body\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emb-reddit-title-body\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"emb-reddit-title-body\"\n\nMore Information needed"
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6957d8fc57407c3de086df068ef11b40cc692a75 |
# Mosaic format for filtered starcoder dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-starcoder.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
3. ... | malaysia-ai/mosaic-starcoder-filtered | [
"language:ms",
"region:us"
] | 2023-11-27T03:47:08+00:00 | {"language": ["ms"]} | 2023-11-28T08:14:20+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #region-us
|
# Mosaic format for filtered starcoder dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at URL
2. using tokenizer URL
3. 4096 context length.
## how-to
1. git clone,
2. load it,
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] |
b0d44653a7e382014f44616608ec1ee57c74bc86 | # Dataset Card for "mimic_tokenized_dataset_balanced_frac_0.1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | passionMan/mimic_tokenized_dataset_balanced_frac_0.1 | [
"region:us"
] | 2023-11-27T04:05:42+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 195080305, "num_examples": 64761}, {"name": "test", "num_bytes": 65034069, "n... | 2023-11-27T08:33:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mimic_tokenized_dataset_balanced_frac_0.1"
More Information needed | [
"# Dataset Card for \"mimic_tokenized_dataset_balanced_frac_0.1\"\n\nMore Information needed"
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f65ae6f9994d62c036c52ecb969a807ad1c43c0c | # Dataset Card for "gun-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JoseArmando07/gun-dataset | [
"region:us"
] | 2023-11-27T06:00:42+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "width", "dtype": "int64"}, {"name": "height",... | 2023-12-06T07:21:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gun-dataset"
More Information needed | [
"# Dataset Card for \"gun-dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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ab2612bfadbedc07394b199e819cfb0b290eba83 |
# Bangumi Image Base of Kono Oto Tomare!
This is the image base of bangumi Kono Oto Tomare!, we detected 34 characters, 3706 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train mo... | BangumiBase/konoototomare | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-27T06:04:00+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-27T08:10:57+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Kono Oto Tomare!
======================================
This is the image base of bangumi Kono Oto Tomare!, we detected 34 characters, 3706 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you inte... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
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"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
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df6bec9357949c25f07d630ae1394ab6fd0249af |
# Dataset Card for Video Infilling and Prediction (VIP)
Video Infilling and Prediction (VIP) is a benchmark dataset for assessing the sequential commonsense reasoning capabilities of vision-language models by generating explanations of videos.
[See our EMNLP 2023 paper introducing this work](https://aclanthology.org... | ryanhe/VIP | [
"task_categories:video-classification",
"task_categories:image-to-text",
"language:en",
"license:apache-2.0",
"arxiv:2305.13903",
"region:us"
] | 2023-11-27T06:57:24+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["video-classification", "image-to-text"], "pretty_name": "VIP"} | 2023-12-23T01:04:07+00:00 | [
"2305.13903"
] | [
"en"
] | TAGS
#task_categories-video-classification #task_categories-image-to-text #language-English #license-apache-2.0 #arxiv-2305.13903 #region-us
|
# Dataset Card for Video Infilling and Prediction (VIP)
Video Infilling and Prediction (VIP) is a benchmark dataset for assessing the sequential commonsense reasoning capabilities of vision-language models by generating explanations of videos.
See our EMNLP 2023 paper introducing this work
## Dataset Details
- Cur... | [
"# Dataset Card for Video Infilling and Prediction (VIP)\n\nVideo Infilling and Prediction (VIP) is a benchmark dataset for assessing the sequential commonsense reasoning capabilities of vision-language models by generating explanations of videos.\n\nSee our EMNLP 2023 paper introducing this work",
"## Dataset De... | [
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a21afa639dfceb96fd4fc05f0ab6ab620aaff515 | # Dataset Card for "openai_summarize_comparisons_tldrprompt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mnoukhov/openai_summarize_comparisons_tldrprompt | [
"region:us"
] | 2023-11-27T06:57:39+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "valid1", "path": "data/valid1-*"}, {"split": "valid2", "path": "data/valid2-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chose... | 2023-11-30T04:11:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_comparisons_tldrprompt"
More Information needed | [
"# Dataset Card for \"openai_summarize_comparisons_tldrprompt\"\n\nMore Information needed"
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fb7136239ac7b23d38eb142d6425e88ee0a61387 | # Dataset Card for "smile_style_orca"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | brian-lim/smile_style_orca | [
"region:us"
] | 2023-11-27T07:00:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34830270, "num_examples"... | 2023-12-06T01:21:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "smile_style_orca"
More Information needed | [
"# Dataset Card for \"smile_style_orca\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"smile_style_orca\"\n\nMore Information needed"
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bfb3619e7fafe98526beb2d254971854c1a53520 | This repo consists of the datasets used for the TaCo paper. There are four datasets:
* Multilingual Alpaca-52K GPT-4 dataset
* Multilingual Dolly-15K GPT-4 dataset
* TaCo dataset
* Multilingual Vicuna Benchmark dataset
We translated the first three datasets using Google Cloud Translation.
The TaCo dataset is created... | saillab/taco-datasets | [
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"... | TAGS
#size_categories-100K<n<1M #language-English #language-Nepali (macrolanguage) #language-Shona #language-Maithili #language-Persian #language-Hindi #language-Afrikaans #language-Albanian #language-Amharic #language-Arabic #language-Armenian #language-Assamese #language-Aymara #language-Azerbaijani #language-Bambara... | This repo consists of the datasets used for the TaCo paper. There are four datasets:
* Multilingual Alpaca-52K GPT-4 dataset
* Multilingual Dolly-15K GPT-4 dataset
* TaCo dataset
* Multilingual Vicuna Benchmark dataset
We translated the first three datasets using Google Cloud Translation.
The TaCo dataset is created... | [] | [
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7cb9b53892549c58cbef6dd690090b6914693a3b |
ARB data from [DuckAI](https://arb-dataset.netlify.app/). Categorized into `law, math, physics, reading, science` | imone/ARB | [
"license:mit",
"region:us"
] | 2023-11-27T08:01:11+00:00 | {"license": "mit"} | 2023-11-27T14:25:59+00:00 | [] | [] | TAGS
#license-mit #region-us
|
ARB data from DuckAI. Categorized into 'law, math, physics, reading, science' | [] | [
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] | 2023-11-27T08:33:51+00:00 | {} | 2023-11-27T10:20:43+00:00 | [] | [] | TAGS
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4c3f1a4b43c207b3ebe0aada1daaca521930840b | # K-MMLU (Korean-MMLU)
<font color='red'>🚧 This repo contains KMMLU-v0.3-preview. The dataset is under ongoing updates. 🚧</font>
### K-MMLU Description
| Description | Count |
|-------------------------|---------|
| # of instance train | 208,440 |
| # of instance dev | 215 |
| # of inst... | HAERAE-HUB/K-MMLU-Preview | [
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"size_categories:10K<n<100K",
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] | 2023-11-27T09:06:18+00:00 | {"language": ["ko"], "license": "cc-by-nc-nd-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["multiple-choice"], "configs": [{"config_name": "Accounting", "data_files": [{"split": "train", "path": "data/Accounting-train.csv"}, {"split": "dev", "path": "data/Accounting-dev.csv"}, {"split": "test", "path": "... | 2024-01-01T09:30:22+00:00 | [] | [
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| K-MMLU (Korean-MMLU)
====================
This repo contains KMMLU-v0.3-preview. The dataset is under ongoing updates.
### K-MMLU Description
*Paper & CoT Samples Coming Soon!*
The K-MMLU (Korean-MMLU) is a comprehensive suite designed to evaluate the advanced knowledge and reasoning abilities of large langu... | [
"### K-MMLU Description\n\n\n\n*Paper & CoT Samples Coming Soon!*\n\n\nThe K-MMLU (Korean-MMLU) is a comprehensive suite designed to evaluate the advanced knowledge and reasoning abilities of large language models (LLMs)\nwithin the Korean language and cultural context. This suite encompasses 43 topics, primarily f... | [
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702c897c4d872337ea439a06c5c074f48ed5aaee |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | alisuper/testing-jawad | [
"region:us"
] | 2023-11-27T09:12:00+00:00 | {} | 2023-11-27T09:13:47+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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### Dataset Description
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- Language(s) (NLP):
- License:
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0e1914fd1f9398a7260d0f558b4641964321fbbd |
# Dataset Card for go_emotions_raw
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-... | argilla/go_emotions_raw | [
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#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us
| Dataset Card for go\_emotions\_raw
==================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Description
---... | [
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] | [
"passage: TAGS\n#size_categories-10K<n<100K #rlfh #argilla #human-feedback #region-us \n### Dataset Summary\n\n\nIt contains the raw version of go\\_emotions as a 'FeedbackDataset'. Each of the original questions are defined a single\n'FeedbackRecord' and contain the 'responses' from each annotator. The final label... |
053fab5a1f7b96b6cb7d1c96d5cc01079da1c04e |
# 说明
使用第三方代码涉及到调用模型的时候，会不可避免的从huggingface下载模型
如果网络状况不良好的情况下会导致无法下载，而如果手动下载则需要一个个修改第三方代码使其读取本地模型的路径
故这里存储好对应的cache 目录，直接解压到 `~/.cache/huggingface/hub/` 路径下即可 | Chars/symlink-models | [
"license:mit",
"region:us"
] | 2023-11-27T09:38:33+00:00 | {"license": "mit"} | 2023-11-27T10:09:52+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# 说明
使用第三方代码涉及到调用模型的时候，会不可避免的从huggingface下载模型
如果网络状况不良好的情况下会导致无法下载，而如果手动下载则需要一个个修改第三方代码使其读取本地模型的路径
故这里存储好对应的cache 目录，直接解压到 '~/.cache/huggingface/hub/' 路径下即可 | [
"# 说明\n使用第三方代码涉及到调用模型的时候，会不可避免的从huggingface下载模型\n\n如果网络状况不良好的情况下会导致无法下载，而如果手动下载则需要一个个修改第三方代码使其读取本地模型的路径\n\n故这里存储好对应的cache 目录，直接解压到 '~/.cache/huggingface/hub/' 路径下即可"
] | [
"TAGS\n#license-mit #region-us \n",
"# 说明\n使用第三方代码涉及到调用模型的时候，会不可避免的从huggingface下载模型\n\n如果网络状况不良好的情况下会导致无法下载，而如果手动下载则需要一个个修改第三方代码使其读取本地模型的路径\n\n故这里存储好对应的cache 目录，直接解压到 '~/.cache/huggingface/hub/' 路径下即可"
] | [
11,
84
] | [
"passage: TAGS\n#license-mit #region-us \n# 说明\n使用第三方代码涉及到调用模型的时候，会不可避免的从huggingface下载模型\n\n如果网络状况不良好的情况下会导致无法下载，而如果手动下载则需要一个个修改第三方代码使其读取本地模型的路径\n\n故这里存储好对应的cache 目录，直接解压到 '~/.cache/huggingface/hub/' 路径下即可"
] |
3508bdf443f42f350decece2558612de908bd672 | # Dataset Card for "patient_info"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Elfsong/patient_info | [
"region:us"
] | 2023-11-27T09:56:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "anxiety", "path": "data/anxiety-*"}, {"split": "depression", "path": "data/depression-*"}, {"split": "ptsd", "path": "data/ptsd-*"}, {"split": "bipolar", "path": "data/bipolar-*"}, {"split": "substance_misuse", "path": "data/substance_misuse-*"}, {"split... | 2023-11-27T09:57:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patient_info"
More Information needed | [
"# Dataset Card for \"patient_info\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"patient_info\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"patient_info\"\n\nMore Information needed"
] |
4ac0b471c29c09960ac3163096162a7e21b0d5f0 | # Dataset Card for "seven_cups"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Elfsong/seven_cups | [
"region:us"
] | 2023-11-27T09:58:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "anxiety", "path": "data/anxiety-*"}, {"split": "bipolar", "path": "data/bipolar-*"}, {"split": "depression", "path": "data/depression-*"}, {"split": "personalitydisorders", "path": "data/personalitydisorders-*"}, {"split": "trauma", "path": "data/trauma-... | 2023-11-27T09:59:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "seven_cups"
More Information needed | [
"# Dataset Card for \"seven_cups\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"seven_cups\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"seven_cups\"\n\nMore Information needed"
] |
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