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c991895b7462453f1ec2fe80d9f51810bd2474c7 |
# Dataset Card for Evaluation run of Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/MetaMath-OpenHermes-2.5-ne... | open-llm-leaderboard/details_Weyaxi__MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp | [
"region:us"
] | 2024-01-08T05:13:55+00:00 | {"pretty_name": "Evaluation run of Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp) on the [Op... | 2024-01-08T05:14:15+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
Dataset automatically created during the evaluation run of model Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of... | [
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fbc86cb47a39a9465b9235622014b33f8ca9bb7f | # Dataset Card for "competition_math_hf_dataset"
* **Homepage** - https://huggingface.co/datasets/hendrycks/competition_math
This is just the competetion math dataset, put in HF dataset format for ease of use with any finetuning tasks | SuperSecureHuman/competition_math_hf_dataset | [
"region:us"
] | 2024-01-08T05:16:14+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "problem", "dtype": "string"}, {"name": "level", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "solution", "dtype": "... | 2024-01-08T05:19:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "competition_math_hf_dataset"
* Homepage - URL
This is just the competetion math dataset, put in HF dataset format for ease of use with any finetuning tasks | [
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e1c6481684f34befa26d608aec159ddaaacc34ca | # Dataset Card for "Vivos_CommonVoice_FOSD_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tuanmanh28/Vivos_CommonVoice_FOSD_dataset | [
"region:us"
] | 2024-01-08T05:38:09+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2479634968.0, "num_examples": 37513}, {"name": "test", "num_bytes": 186204109.69129592, "num_examples": 459... | 2024-01-08T06:53:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Vivos_CommonVoice_FOSD_dataset"
More Information needed | [
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3abc5a0e6cc550d73ae6762acbb52a9e69ef07db | ## wiki-burmese-sentences
Simbolo wiki data is derived from the extensive collection of Wikipedia articles and serves diverse purposes, with a primary focus on text generation. The main contributor to this dataset is Sa Phyo Thu Htet, with valuable contributions also made by other dedicated individuals, including Kaun... | simbolo-ai/wiki-burmese-sentences | [
"license:mit",
"region:us"
] | 2024-01-08T05:40:09+00:00 | {"license": "mit"} | 2024-02-09T09:25:52+00:00 | [] | [] | TAGS
#license-mit #region-us
| ## wiki-burmese-sentences
Simbolo wiki data is derived from the extensive collection of Wikipedia articles and serves diverse purposes, with a primary focus on text generation. The main contributor to this dataset is Sa Phyo Thu Htet, with valuable contributions also made by other dedicated individuals, including Kaun... | [
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4c21e09eab5c5480d71567689323c6b557261c1b |
# Dataset Card for github_issues
## 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)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | ilbaks/github-issues | [
"task_categories:question-answering",
"language:en",
"region:us"
] | 2024-01-08T05:47:35+00:00 | {"language": ["en"], "task_categories": ["question-answering"], "dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "ht... | 2024-01-08T06:16:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #language-English #region-us
|
# Dataset Card for github_issues
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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f03889674eae9facaf17285ab0650e636259d58d | # Dataset Card for "uf_unsafe_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yimingzhang/uf_unsafe_v1 | [
"region:us"
] | 2024-01-08T06:05:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_prefs", "path": "data/train_prefs-*"}, {"split": "test_prefs", "path": "data/test_prefs-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejec... | 2024-01-08T06:13:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "uf_unsafe_v1"
More Information needed | [
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bc8f648ad8f10bd87d5581b532edad33f41c2b92 |
# Dataset Card for FudanSELab CodeGen4Libs Code Retrieval Library
## Dataset Description
- **Repository:** [GitHub Repository](https://github.com/FudanSELab/codegen4libs)
- **Paper:** [CodeGen4Libs: A Two-stage Approach for Library-oriented Code Generation](https://mingwei-liu.github.io/publication/2023-08-18-ase-Co... | FudanSELab/CodeGen4Libs_RetrievalCodeLib | [
"size_categories:1M<n<10M",
"license:mit",
"code-generation",
"region:us"
] | 2024-01-08T07:07:55+00:00 | {"license": "mit", "size_categories": ["1M<n<10M"], "pretty_name": "CodeGen4Libs ", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "method", "dtype": "string"}, {"name": "clean_method", "dtype": "string"}, {"name": "doc", "dtyp... | 2024-01-08T08:53:39+00:00 | [] | [] | TAGS
#size_categories-1M<n<10M #license-mit #code-generation #region-us
|
# Dataset Card for FudanSELab CodeGen4Libs Code Retrieval Library
## Dataset Description
- Repository: GitHub Repository
- Paper: CodeGen4Libs: A Two-stage Approach for Library-oriented Code Generation
### Dataset Summary
This dataset is the code retrieval library used in the ASE2023 paper titled "CodeGen4Libs: A ... | [
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b4ddac7838666147ac4ed78cf4300e402c32fa05 |
# Dataset Card for Evaluation run of chargoddard/mistral-11b-slimorca
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [chargoddard/mistral-11b-slimorca](https://huggingface.co/chargoddard/mistral-11b-slimorca) on the [Open LLM Leaderboard](https://hug... | open-llm-leaderboard/details_chargoddard__mistral-11b-slimorca | [
"region:us"
] | 2024-01-08T07:34:15+00:00 | {"pretty_name": "Evaluation run of chargoddard/mistral-11b-slimorca", "dataset_summary": "Dataset automatically created during the evaluation run of model [chargoddard/mistral-11b-slimorca](https://huggingface.co/chargoddard/mistral-11b-slimorca) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4... | 2024-01-08T07:34:36+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of chargoddard/mistral-11b-slimorca
Dataset automatically created during the evaluation run of model chargoddard/mistral-11b-slimorca on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been... | [
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f20d5db4a31fe779ef07bb1af4ea92da5c786622 | AISHELL-3 is a large-scale and high-fidelity multi-speaker Mandarin speech corpus published by Beijing Shell Shell Technology Co.,Ltd. It can be used to train multi-speaker Text-to-Speech (TTS) systems.The corpus contains roughly 85 hours of emotion-neutral recordings spoken by 218 native Chinese mandarin speakers and ... | AISHELL/AISHELL-3 | [
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ce5aeeff82e10f14d4160e591866db6ee5e8e410 |
# Dataset Card for WEBNLG-QA
## Dataset Description
- **Paper:** [SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications (AACL-IJCNLP 2022)](https://aclanthology.org/2022.aacl-main.11/)
- **Point of Contact:** Gwénolé Lecorvé
### Dataset Summary
WEBNLG-QA is a conversational question an... | OrangeInnov/webnlg-qa | [
"task_categories:conversational",
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"task_categories:text-generation",
"language:en",
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"qa",
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"sparql",
"region:us"
] | 2024-01-08T08:35:26+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "task_categories": ["conversational", "question-answering", "text-generation"], "dataset_info": {"features": [{"name": "category", "dtype": "string"}, {"name": "size", "dtype": "int32"}, {"name": "id", "dtype": "string"}, {"name": "eid", "dtype": "string"}, {"name": "orig... | 2024-01-11T13:19:10+00:00 | [] | [
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#task_categories-conversational #task_categories-question-answering #task_categories-text-generation #language-English #license-cc-by-sa-4.0 #qa #knowledge-graph #sparql #region-us
| Dataset Card for WEBNLG-QA
==========================
Dataset Description
-------------------
* Paper: SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications (AACL-IJCNLP 2022)
* Point of Contact: Gwénolé Lecorvé
### Dataset Summary
WEBNLG-QA is a conversational question answering da... | [
"### Dataset Summary\n\n\nWEBNLG-QA is a conversational question answering dataset grounded on WEBNLG. It consists in a set of question-answering dialogues (follow-up question-answer pairs) based on short paragraphs of text. Each paragraph is associated a knowledge graph (from WEBNLG). The questions are associated ... | [
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03ae44b46cc85785201e625620a4b66bffe0f13a |
<div align="center">
<img width="640" alt="senthilsk/crack_detection_dataset" src="https://huggingface.co/datasets/senthilsk/crack_detection_dataset/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['crack', 'mold', 'peeling_paint', 'stairstep_crack', 'water_seepage']
```
### Number of Images
```json
... | senthilsk/crack_detection_dataset | [
"task_categories:object-detection",
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"roboflow2huggingface",
"region:us"
] | 2024-01-08T08:48:31+00:00 | {"task_categories": ["object-detection"], "tags": ["roboflow", "roboflow2huggingface"]} | 2024-01-09T04:02:09+00:00 | [] | [] | TAGS
#task_categories-object-detection #roboflow #roboflow2huggingface #region-us
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<div align="center">
<img width="640" alt="senthilsk/crack_detection_dataset" src="URL
</div>
### Dataset Labels
### Number of Images
### How to Use
- Install datasets:
- Load the dataset:
### Roboflow Dataset Page
URL
### License
CC BY 4.0
### Dataset Summary
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fa74aeb35ba1d4c829c0601d64fb084f51d1ca47 | # Dataset Card for "iemocap_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/iemocap_synth | [
"region:us"
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"passage: TAGS\n#region-us \n# Dataset Card for \"iemocap_synth\"\n\nMore Information needed"
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bbc847e86c604e1505387c3871d48822c9da6be5 |
[riddle_sense](https://huggingface.co/datasets/riddle_sense) dataset formatted into an alpaca format dataset for instruction tuning LLMs for reasoning capabilities. | Technoculture/riddle_sense | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"reasoning",
"region:us"
] | 2024-01-08T09:25:28+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "pretty_name": "Riddle Sen", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path"... | 2024-01-08T10:04:21+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-mit #reasoning #region-us
|
riddle_sense dataset formatted into an alpaca format dataset for instruction tuning LLMs for reasoning capabilities. | [] | [
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5331c95bbd955f118d3bce0b3badacc9c6132910 | # Dataset Card for "iemocap_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/iemocap_extract_unit | [
"region:us"
] | 2024-01-08T09:37:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2024-01-08T10:00:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "iemocap_extract_unit"
More Information needed | [
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72d15fdd245839652aa30a5f8717b3b79f106c2a |
Synthetic dataset with question/answers couples extracted from [A-Roucher/huggingface_doc](https://huggingface.co/datasets/A-Roucher/huggingface_doc): use it with this dataset to evaluate your RAG systems! ⭐️⭐️⭐️ | m-ric/huggingface_doc_qa_eval | [
"license:apache-2.0",
"region:us"
] | 2024-01-08T09:41:35+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "source_doc", "dtype": "string"}, {"name": "standalone_score", "dtype": "int64"}, {"name": "standalone_eval", "dtype": "string"}, {"nam... | 2024-01-18T15:23:41+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Synthetic dataset with question/answers couples extracted from A-Roucher/huggingface_doc: use it with this dataset to evaluate your RAG systems! ⭐️⭐️⭐️ | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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14
] | [
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faac05b8c3a9e6fffb1af8ac1107ea6946959fc4 | ### Hola: Multilingual-Text-Generation-(LLM) and Language-Classification-Public-Dataset
Release Date: 2/12/2024 (Myanmar Union Day)
### <b> Overview </b>
Hola dataset contains data from 11 languages, including English, Burmese, Japanese, Spanish, Chinese (Traditional), Korean, Mon, Paoh, etc. And the data was crawled ... | simbolo-ai/hola | [
"language:my",
"license:gpl",
"region:us"
] | 2024-01-08T10:23:26+00:00 | {"language": ["my"], "license": "gpl"} | 2024-02-12T06:10:58+00:00 | [] | [
"my"
] | TAGS
#language-Burmese #license-gpl #region-us
| ### Hola: Multilingual-Text-Generation-(LLM) and Language-Classification-Public-Dataset
Release Date: 2/12/2024 (Myanmar Union Day)
### **Overview**
Hola dataset contains data from 11 languages, including English, Burmese, Japanese, Spanish, Chinese (Traditional), Korean, Mon, Paoh, etc. And the data was crawled... | [
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7ef74d0624efc36c16fe3b82aa5438f7c7260706 |
YFCC15m dataset from <https://github.com/openai/CLIP/blob/main/data/yfcc100m.md>.
The subset is obtained by filtering the original YFCC100m (yfcc100m_dataset.sql) using the photo ids from <https://github.com/openai/CLIP/blob/main/data/yfcc100m.md>.
The script to rebuild the data from the original YFCC100m is provided ... | mehdidc/yfcc15m | [
"license:cc",
"region:us"
] | 2024-01-08T10:35:53+00:00 | {"license": "cc"} | 2024-01-08T10:59:49+00:00 | [] | [] | TAGS
#license-cc #region-us
|
YFCC15m dataset from <URL
The subset is obtained by filtering the original YFCC100m (yfcc100m_dataset.sql) using the photo ids from <URL
The script to rebuild the data from the original YFCC100m is provided at build_yfcc15m.py.
| [] | [
"TAGS\n#license-cc #region-us \n"
] | [
11
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"passage: TAGS\n#license-cc #region-us \n"
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58ca475cc6bc01e4d55b89ad9dcbc8d7edfd63d5 |
- 37.870 texts in total, 17.850 NOT clickbait texts and 20.020 CLICKBAIT texts
- All duplicate values were removed
- Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
- Split: 80/10/10
- Train set label distribution... | christinacdl/clickbait_detection_dataset | [
"task_categories:text-classification",
"language:en",
"license:apache-2.0",
"clickbait",
"not",
"binary_classification",
"region:us"
] | 2024-01-08T10:39:08+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-classification"], "tags": ["clickbait", "not", "binary_classification"]} | 2024-01-08T10:43:56+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #license-apache-2.0 #clickbait #not #binary_classification #region-us
|
- 37.870 texts in total, 17.850 NOT clickbait texts and 20.020 CLICKBAIT texts
- All duplicate values were removed
- Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
- Split: 80/10/10
- Train set label distribution... | [] | [
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3d3b905d69dcda64923956fb908dfc11d2011cd7 |
# DynaBreastLite
A lightweight dynamic 4D human breast anthropometric dataset. | liu-qilong/dyna-breast-lite | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2024-01-08T10:44:05+00:00 | {"license": "cc-by-nc-sa-4.0", "pretty_name": "D"} | 2024-01-10T02:20:34+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
# DynaBreastLite
A lightweight dynamic 4D human breast anthropometric dataset. | [
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51beac7687878bfee1dcd43ae8795c3004a2dc94 |
# Dataset Card for Evaluation run of s3nh/nsfw-noromaid-mistral-instruct
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [s3nh/nsfw-noromaid-mistral-instruct](https://huggingface.co/s3nh/nsfw-noromaid-mistral-instruct) on the [Open LLM Leaderboard](ht... | open-llm-leaderboard/details_s3nh__nsfw-noromaid-mistral-instruct | [
"region:us"
] | 2024-01-08T10:55:05+00:00 | {"pretty_name": "Evaluation run of s3nh/nsfw-noromaid-mistral-instruct", "dataset_summary": "Dataset automatically created during the evaluation run of model [s3nh/nsfw-noromaid-mistral-instruct](https://huggingface.co/s3nh/nsfw-noromaid-mistral-instruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | 2024-01-08T10:55:26+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of s3nh/nsfw-noromaid-mistral-instruct
Dataset automatically created during the evaluation run of model s3nh/nsfw-noromaid-mistral-instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ha... | [
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16184c21a2074cb9923849aeb489275461d39ac3 |
# Dataset Card for Evaluation run of s3nh/Noromaid-Aeryth-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [s3nh/Noromaid-Aeryth-7B](https://huggingface.co/s3nh/Noromaid-Aeryth-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingF... | open-llm-leaderboard/details_s3nh__Noromaid-Aeryth-7B | [
"region:us"
] | 2024-01-08T11:06:20+00:00 | {"pretty_name": "Evaluation run of s3nh/Noromaid-Aeryth-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [s3nh/Noromaid-Aeryth-7B](https://huggingface.co/s3nh/Noromaid-Aeryth-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\n... | 2024-01-08T11:17:58+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of s3nh/Noromaid-Aeryth-7B
Dataset automatically created during the evaluation run of model s3nh/Noromaid-Aeryth-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 ru... | [
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d0e40f5b476085d54719a3d03ab7db66ed9749fb |
- [alpaca_eval](https://huggingface.co/datasets/tatsu-lab/alpaca_eval) 데이터의 instruction을 GPT-4를 이용해서 번역, 이후 GPT-4를 이용해서 대답 생성
- 아직 데이터 검수중!!!! | heegyu/alpaca_eval_ko | [
"license:apache-2.0",
"region:us"
] | 2024-01-08T11:06:51+00:00 | {"license": "apache-2.0"} | 2024-01-09T12:55:02+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
- alpaca_eval 데이터의 instruction을 GPT-4를 이용해서 번역, 이후 GPT-4를 이용해서 대답 생성
- 아직 데이터 검수중!!!! | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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b9a0b634f9641e255691355918c3859ea02b1009 |
<div align="center">
<h1>
TeleChat预训练数据集(TeleChat-PTD)
</h1>
</div>
<p align="center">
🤗 <a href="https://huggingface.co/Tele-AI/Telechat-7B" target="_blank">Hugging Face</a> • 🏔 <a href="" target="_blank">MindSpore</a>️ • 🦉 <a href="https://github.com/Tele-AI/Telechat" target="_blank">github</a>️ • 🐾 <a hr... | Tele-AI/TeleChat-PTD | [
"license:apache-2.0",
"arxiv:2401.03804",
"region:us"
] | 2024-01-08T11:17:58+00:00 | {"license": "apache-2.0", "viewer": false} | 2024-01-13T04:51:01+00:00 | [
"2401.03804"
] | [] | TAGS
#license-apache-2.0 #arxiv-2401.03804 #region-us
|
<div align="center">
<h1>
TeleChat预训练数据集(TeleChat-PTD)
</h1>
</div>
<p align="center">
<a href="URL target="_blank">Hugging Face</a> • <a href="" target="_blank">MindSpore</a>️ • <a href="URL target="_blank">github</a>️ • <a href="URL target="_blank">gitee</a>️ • <a href="URL target="_blank">WeChat</a>
</p... | [
"# 数据介绍\nTeleChat-PTD 是由电信星辰大模型TeleChat预训练语料中抽取出的的综合性大规模中文数据集。数据主要来源于网页、书籍、官方媒体等。 我们使用规则+模型的方式进行了相关的过滤，并对数据进行了相似性去重，尽可能地提取出高质量地数据。\n\nTeleChat-PTD 数据集大约公开了2.7亿条数据，数据由纯中文文本构成，原始大小约1TB,压缩后480G，共189个文件。数据集中已经去除了其它冗余信息。",
"# 数据下载\n\nhuggingface下载地址：TODO\n\n天翼云盘下载地址：TODO",
"# 数据格式\n数据为jsonl格式，仅有一个字段data: 单条处理后的预训练数据... | [
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5db86c336bf8b92420287b275415cfb565c2937a |
# Answer Equivalence Dataset
This dataset is introduced and described in [Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation](http://arxiv.org/abs/2202.07654).
## Source
This is a repost. The original dataset repository [can be found here.](https://github.com/google-research-d... | kortukov/answer-equivalence-dataset | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"license:apache-2.0",
"arxiv:2202.07654",
"region:us"
] | 2024-01-08T11:21:27+00:00 | {"license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "train.jsonl.zip"}, {"split": "test", "path": "ae_test.jsonl.zip"}, {"split": "dev", "path": "ae_dev.jsonl.zip"}, {"split": "dev_bidaf",... | 2024-01-08T11:50:51+00:00 | [
"2202.07654"
] | [] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #license-apache-2.0 #arxiv-2202.07654 #region-us
| Answer Equivalence Dataset
==========================
This dataset is introduced and described in Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation.
Source
------
This is a repost. The original dataset repository can be found here.
Data splits and sizes
------------------... | [
"# AE Examples: 9,090, # Ratings: 9,090\nAE Split: Dev, # AE Examples: 2,734, # Ratings: 4,446\nAE Split: Test, # AE Examples: 5,831, # Ratings: 9,724\nAE Split: Total, # AE Examples: 17,655, # Ratings: 23,260\n\n\nSplit by system: BiDAF dev predictions, # AE Examples: 5622, # Ratings: 7522\nSplit by system: XLNet ... | [
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3ace8456cddfcbc8c43c9a6e5ff3c381e1c2f368 | - original dataset: [heegyu/glaive-function-calling-v2-formatted](https://huggingface.co/datasets/heegyu/glaive-function-calling-v2-formatted)
---
Датасет heegyu/glaive-function-calling-v2-formatted переведенный с помощбю seamlessMT4 | VLegio/ru_glaive-function-calling-v2-formatted | [
"language:ru",
"func_call",
"machine_translate",
"region:us"
] | 2024-01-08T11:39:45+00:00 | {"language": ["ru"], "pretty_name": "Russian machine translated funcction calling dataset", "tags": ["func_call", "machine_translate"]} | 2024-01-08T13:09:56+00:00 | [] | [
"ru"
] | TAGS
#language-Russian #func_call #machine_translate #region-us
| - original dataset: heegyu/glaive-function-calling-v2-formatted
---
Датасет heegyu/glaive-function-calling-v2-formatted переведенный с помощбю seamlessMT4 | [] | [
"TAGS\n#language-Russian #func_call #machine_translate #region-us \n"
] | [
21
] | [
"passage: TAGS\n#language-Russian #func_call #machine_translate #region-us \n"
] |
9e8a688b72fbc24220403bcebdbbfc72e0d7e033 |
# LLM Alignment Dataset
## Table of Contents
- [Overview](#overview)
- [Dataset Description](#dataset-description)
- [Methodology](#methodology)
- [Usage](#usage)
## Overview
This dataset is the result of an exercise conducted during the Hugging Face LLM Alignment Internship. It involves the use of rejection samplin... | baptistecolle/alignment_dataset | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-08T11:48:27+00:00 | {"language": ["en"], "license": "apache-2.0", "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 5911, "num_examples": 10}], "download_size": 9991, "dataset_size": 5911}, "configs... | 2024-01-08T11:57:54+00:00 | [] | [
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# LLM Alignment Dataset
## Table of Contents
- Overview
- Dataset Description
- Methodology
- Usage
## Overview
This dataset is the result of an exercise conducted during the Hugging Face LLM Alignment Internship. It involves the use of rejection sampling to select high-quality responses from a language model for a ... | [
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f474dcd2ad9276dfb48f96670f830da694870447 |
<img src="fig/icon.png" alt="icon" style="zoom:20%;" />
#### Dataset Summary
DebugBench is a Large Language Model (LLM) debugging benchmark introduced in the paper [DebugBench: Evaluating Debugging Capability of Large Language Models](https://arxiv.org/abs/2401.04621). We collect code snippets from the [LeetCode](h... | Rtian/DebugBench | [
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| 
#### Dataset Summary
DebugBench is a Large Language Model (LLM) debugging benchmark introduced in the paper DebugBench: Evaluating Debugging Capability of Large Language Models. We collect code snippets from the LeetCode community and implant bugs into source data with GPT-4. The project is also open... | [
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711a10d6a4c33edd5ec868a122eb4c32abe3fea7 | # Dataset Card for "news-headline-gen"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nutorbit/news-headline-gen | [
"region:us"
] | 2024-01-08T12:37:47+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "dev", "path": "data/dev-*"}]}], "dataset_info": {"features": [{"name": "headline", "dtype": "string"}, {"name": "news", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23555772, "num_examples": 2... | 2024-01-08T12:47:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news-headline-gen"
More Information needed | [
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f63461d2bf47fcfbdaa5454ae8582cffa86ea80b | # Dataset Card for "scandi-langid"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kardosdrur/scandi-langid | [
"region:us"
] | 2024-01-08T14:21:36+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28278216.0, "num_examples": 2... | 2024-01-08T14:21:50+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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93cc80959b796cab456a8e638fe25753348ea55d |
# AI Dictionary Dataset
Welcome to the AI Dictionary dataset on HuggingFace. This dataset is a comprehensive tool comprised of 16,665 unique key phrases that describe the whole domain of Artificial Intelligence (AI). It serves both the research community and industry domains, aiding in the identification of radical i... | J0nasW/AI-Dictionary | [
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"code",
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] | 2024-01-08T15:00:20+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "feature-extraction"], "tags": ["code"]} | 2024-01-08T15:13:31+00:00 | [] | [
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#task_categories-text-classification #task_categories-feature-extraction #size_categories-10K<n<100K #language-English #license-mit #code #region-us
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# AI Dictionary Dataset
Welcome to the AI Dictionary dataset on HuggingFace. This dataset is a comprehensive tool comprised of 16,665 unique key phrases that describe the whole domain of Artificial Intelligence (AI). It serves both the research community and industry domains, aiding in the identification of radical i... | [
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a91c66786590154e31620f09baa20c05d0542de9 | # Dataset Card for "fashion_image_caption_100_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jbfreb/fashion_image_caption_100_v2 | [
"region:us"
] | 2024-01-08T15:06:18+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22820471.0, "num_examples": 100}], "download_size": 22820374, "dataset_size": 22820471.0}} | 2024-01-08T15:06:20+00:00 | [] | [] | TAGS
#region-us
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459106ceb985ff5979f9eb79c9cb5d973009a3a6 |
Source:
https://huggingface.co/datasets/ywchoi/pubmed_abstract_3 | awinml/pubmed_abstract_3_1k | [
"region:us"
] | 2024-01-08T15:50:26+00:00 | {"dataset_info": {"features": [{"name": "pmid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1524794, "num_examples": 1000}], "download_size": 873865, "dataset_size": 1524794}, "configs": [{"config_name": "default", "data_files... | 2024-01-08T16:00:06+00:00 | [] | [] | TAGS
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1380b681fa4488ef3cbf79dbe77e9dc9edb07ebd |
Phase 1 of PRM800K, processed for preference learning. Note that PRM800K uses a different test split for MATH than typical, so this dataset includes data from the MATH test set. | euclaise/prm800k_preferences | [
"license:mit",
"region:us"
] | 2024-01-08T16:21:14+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "history", "sequence": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 11928250, "num_examples": 5728}], "download_size": 1827317, "... | 2024-01-13T20:45:34+00:00 | [] | [] | TAGS
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Phase 1 of PRM800K, processed for preference learning. Note that PRM800K uses a different test split for MATH than typical, so this dataset includes data from the MATH test set. | [] | [
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ee4d22d49b8486786cbc01c0b6f6f6266e56f3bd | # Dataset Card for "proofwriter"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tasksource/proofwriter | [
"region:us"
] | 2024-01-08T16:31:01+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": "maxD", "dtype": "int64"}, {"name": "NFact", "dt... | 2024-01-08T16:33:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "proofwriter"
More Information needed | [
"# Dataset Card for \"proofwriter\"\n\nMore Information needed"
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0569b46516118dfe1a8a9c278c6f1670549af443 | # Dataset Card for SUMM-RE small
Manually corrected transcripts of French conversations, aligned with the audio signal.
## Dataset Details
### Dataset Description
The SUMM-RE dataset is a corpus of meeting-style conversations in French created for the purpose of the SUMM-RE project (ANR-20-CE23-0017). SUMM-RE small... | linagora/SUMM-RE_sm | [
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| # Dataset Card for SUMM-RE small
Manually corrected transcripts of French conversations, aligned with the audio signal.
## Dataset Details
### Dataset Description
The SUMM-RE dataset is a corpus of meeting-style conversations in French created for the purpose of the SUMM-RE project (ANR-20-CE23-0017). SUMM-RE small... | [
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ff863eb5b3ede97257eeedcea7cba5f43c0b6296 | # Dataset Card for "hotpotqa-de-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Snoopy04/hotpotqa-de-1k | [
"region:us"
] | 2024-01-08T16:37:12+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "context", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1328557, "num_examples": 1000}], "download_size": 749483, "dataset_size": 1328557}, "configs": [{"config_name": "default", "da... | 2024-01-08T16:37:14+00:00 | [] | [] | TAGS
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2fb820329e911c14d6a97e99732971801a16b905 | # Dataset Card for 10-K Benchmark
## Dataset Description
This is a synthetically generated financial benchmark for large language models based off of a wide range of 10-K documents. The benchmark was subsequently run on multiple LLMs, which provided candidate answers for evaluation based on both the context and the g... | adumitrescu18/Financial10kBenchmark | [
"license:mit",
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] | 2024-01-08T16:41:30+00:00 | {"license": "mit"} | 2024-01-09T16:03:46+00:00 | [] | [] | TAGS
#license-mit #region-us
| Dataset Card for 10-K Benchmark
===============================
Dataset Description
-------------------
This is a synthetically generated financial benchmark for large language models based off of a wide range of 10-K documents. The benchmark was subsequently run on multiple LLMs, which provided candidate answers f... | [
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a4ff97c58889878cd4e7c28df81b33b8fa153334 |
# Kannada Instruct Dataset
This dataset comprises translated instructional pairs used in the training of [Ambari-7B-Instruct](https://huggingface.co/Cognitive-Lab/Ambari-7B-Instruct-v0.1), a language model for natural language understanding. The dataset is structured with four columns: `original_instruction`, `origi... | Cognitive-Lab/Kannada-Instruct-dataset | [
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# Kannada Instruct Dataset
This dataset comprises translated instructional pairs used in the training of Ambari-7B-Instruct, a language model for natural language understanding. The dataset is structured with four columns: 'original_instruction', 'original_output', 'translated_instruction', and 'translated_output'.
... | [
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67a735b19a6fbb610c30d18dc283a641af2d5707 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... | trumble2024/Rick-bot-flags | [
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dcdb260cd059403abe8836f0cee3e7dd7535b863 | This dataset is based on the Japanese version of Wikipedia dataset and converted into a multi-turn conversation format using llama2Pro8B. After generating 10,000 conversations and screening, only about 3,000 were usable, so I will publish them in this state first.
Since it is a llama2 license, it can be used commercial... | shi3z/ja_conv_wikipedia_llama2pro8b_3k | [
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] | 2024-01-08T23:11:22+00:00 | {"language": ["ja"], "license": "llama2", "size_categories": ["1K<n<10K"], "task_categories": ["conversational"]} | 2024-01-09T23:18:17+00:00 | [] | [
"ja"
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#task_categories-conversational #size_categories-1K<n<10K #language-Japanese #license-llama2 #region-us
| This dataset is based on the Japanese version of Wikipedia dataset and converted into a multi-turn conversation format using llama2Pro8B. After generating 10,000 conversations and screening, only about 3,000 were usable, so I will publish them in this state first.
Since it is a llama2 license, it can be used commercial... | [
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f38747cfcc12f0cf6531d0f2e9ebbea07965bd26 |
## Description
News, delivered to you. Better late than never!
## Model
SVD
## Voice
Cloée
# Tags
- News
# Style
live tv, tv channel, news report, news anchor, tv studio
# Music
breaking news intro, soft, electronic, balearic house
## Prompt
Deep News is an AI tube channel generating videos to summarize t... | jbilcke-hf/ai-tube-deep-news | [
"license:cc-by-nc-4.0",
"region:us"
] | 2024-01-09T00:21:12+00:00 | {"license": "cc-by-nc-4.0", "pretty_name": "Deep News"} | 2024-01-31T20:53:51+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Description
News, delivered to you. Better late than never!
## Model
SVD
## Voice
Cloée
# Tags
- News
# Style
live tv, tv channel, news report, news anchor, tv studio
# Music
breaking news intro, soft, electronic, balearic house
## Prompt
Deep News is an AI tube channel generating videos to summarize t... | [
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bc09d30c14d119ca2f457a569b6ff03d2117e0ea |
Collections of pairwise feedback datasets.
- [openai/summarize_from_feedback](https://huggingface.co/datasets/openai/summarize_from_feedback)
- [openai/webgpt_comparisons](https://huggingface.co/datasets/openai/webgpt_comparisons)
- [Dahoas/instruct-synthetic-prompt-responses](https://huggingface.co/datasets/Dahoas/i... | llm-blender/Unified-Feedback | [
"license:mit",
"region:us"
] | 2024-01-09T00:46:23+00:00 | {"license": "mit", "configs": [{"config_name": "Nectar", "data_files": [{"split": "train", "path": "Nectar/train-*"}, {"split": "val", "path": "Nectar/val-*"}]}, {"config_name": "UltraFeedback", "data_files": [{"split": "train", "path": "UltraFeedback/train-*"}, {"split": "val", "path": "UltraFeedback/val-*"}]}, {"conf... | 2024-01-29T18:46:34+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Collections of pairwise feedback datasets.
- openai/summarize_from_feedback
- openai/webgpt_comparisons
- Dahoas/instruct-synthetic-prompt-responses
- Anthropic/hh-rlhf
- lmsys/chatbot_arena_conversations
- openbmb/UltraFeedback
- argilla/ultrafeedback-binarized-preferences-cleaned
- berkeley-nest/Nectar
Codes to re... | [
"## Dataset formats\n\n\n\nTo convert to pairwise prompt and response to train reward models like PairRM.\n\n- For conversations with 1 turn\n\nSimply take the user content and assistant content for 1 turn as the input and output.\npython\n [\n {\n \"content\": \"hello\",\n ... | [
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1238a910eebbb3b09d94d321af8b957cb60764f7 | The dataset encompasses news articles spanning from November 29, 2023, to February 6, 2024, capturing the discourse surrounding the five presidential debates orchestrated by the General Elections Commission. Sourced from reputable platforms such as detik, kompas, and liputan6, the dataset offers a comprehensive insight... | casecrit/2024-indonesian-election | [
"size_categories:10M<n<100M",
"language:id",
"license:cc-by-nc-2.0",
"doi:10.57967/hf/1756",
"region:us"
] | 2024-01-09T03:19:10+00:00 | {"language": ["id"], "license": "cc-by-nc-2.0", "size_categories": ["10M<n<100M"]} | 2024-02-10T15:21:59+00:00 | [] | [
"id"
] | TAGS
#size_categories-10M<n<100M #language-Indonesian #license-cc-by-nc-2.0 #doi-10.57967/hf/1756 #region-us
| The dataset encompasses news articles spanning from November 29, 2023, to February 6, 2024, capturing the discourse surrounding the five presidential debates orchestrated by the General Elections Commission. Sourced from reputable platforms such as detik, kompas, and liputan6, the dataset offers a comprehensive insight... | [] | [
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f3112d625202c271562ff5f8d796f967ee201b7f | # Dataset Card for "metamathqa_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/metamathqa_binarized | [
"region:us"
] | 2024-01-09T03:30:21+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2024-01-09T03:30:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "metamathqa_binarized"
More Information needed | [
"# Dataset Card for \"metamathqa_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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9cbd3463039ea84aa3a28e3f090432d82750fc30 | <img src="https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/Ufp7Ec0nfJblft2VXXZBa.png" width="512" height="512">
**PixelParti128** is a synthetic dataset derived from SDXL Turbo and Pixel Art XL.
Contains 4 samples of each prompt in <a href="https://github.com/google-research/parti">PartiP... | nerijs/pixelparti-128-v0.1 | [
"license:apache-2.0",
"region:us"
] | 2024-01-09T03:58:41+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 34521297.512, "num_examples": 4836}], "download_size": 34764278, "dataset_size": 34521297.512}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/t... | 2024-01-09T05:06:34+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| <img src="URL width="512" height="512">
PixelParti128 is a synthetic dataset derived from SDXL Turbo and Pixel Art XL.
Contains 4 samples of each prompt in <a href="URL
PixelParti128 v0.1 is a collection of ~4800 synthetic samples with their corresponding prompt and seed. Each sample is downscaled and quantized to 12... | [
"## Replication\nYou can replicate this dataset using SDXL Turbo with Pixel Art XL, 8 steps of Euler a, CFG = 1 and Diffusers.\n\n<img src=\"URL width=\"512\" height=\"512\">\n<img src=\"URL width=\"512\" height=\"512\">\n<img src=\"URL width=\"512\" height=\"512\">"
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... |
2dbaa90cb0b3cd30d295b388195f217f155d1ca6 | # Dataset Card for "distil_math_dpo_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/distil_math_dpo_binarized | [
"region:us"
] | 2024-01-09T04:34:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": ... | 2024-02-16T16:14:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "distil_math_dpo_binarized"
More Information needed | [
"# Dataset Card for \"distil_math_dpo_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"distil_math_dpo_binarized\"\n\nMore Information needed"
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d3b62d5f69ad7dfc606fad5bad06fd56b7903544 | # Dataset Card for "athirdpath_roleplay_dpo_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/athirdpath_roleplay_dpo_binarized | [
"region:us"
] | 2024-01-09T04:38:00+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": ... | 2024-01-09T04:38:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "athirdpath_roleplay_dpo_binarized"
More Information needed | [
"# Dataset Card for \"athirdpath_roleplay_dpo_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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bd7d81607cbd4dfa6adba3b29608be461d21e9f1 | # Dataset Card for "orca_dpo_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/orca_dpo_binarized | [
"region:us"
] | 2024-01-09T04:40:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": ... | 2024-01-09T04:40:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "orca_dpo_binarized"
More Information needed | [
"# Dataset Card for \"orca_dpo_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"orca_dpo_binarized\"\n\nMore Information needed"
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f9450ac8fe855f463a2a72695802f2a7158e6d0a | # Dataset Card for "tc_dpo_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/tc_dpo_binarized | [
"region:us"
] | 2024-01-09T04:42:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "chosen", "list": [{"name": ... | 2024-01-09T04:42:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tc_dpo_binarized"
More Information needed | [
"# Dataset Card for \"tc_dpo_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tc_dpo_binarized\"\n\nMore Information needed"
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b9006faf7d369fe186831326bd7e755e4c90aed3 | # Dataset Card for "hh_rlhf_reversed_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/hh_rlhf_reversed_binarized | [
"region:us"
] | 2024-01-09T04:50:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": ... | 2024-01-09T19:14:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hh_rlhf_reversed_binarized"
More Information needed | [
"# Dataset Card for \"hh_rlhf_reversed_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hh_rlhf_reversed_binarized\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"hh_rlhf_reversed_binarized\"\n\nMore Information needed"
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277e9828e78845f16594e18f7143ce7755fe736f | # Dataset Card for "synthetic_gpt35_dpo_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/synthetic_gpt35_dpo_binarized | [
"region:us"
] | 2024-01-09T04:57:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": ... | 2024-01-09T04:58:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "synthetic_gpt35_dpo_binarized"
More Information needed | [
"# Dataset Card for \"synthetic_gpt35_dpo_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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45ac5e01122055b50bc3cddb3c925df1323d5bc5 | Just copied from migtissera/Hitchhiker | adi-kmt/hitchiker | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-09T05:04:49+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"]} | 2024-01-09T05:06:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-apache-2.0 #region-us
| Just copied from migtissera/Hitchhiker | [] | [
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] | [
29
] | [
"passage: TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #region-us \n"
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8ebe7d5ff8f5afef69d231e565409da9610a7ea6 | alpaca formatted migtissera/Synthia-v1.3 | adi-kmt/sythia_alpaca | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-09T05:27:10+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"]} | 2024-01-09T12:55:37+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-apache-2.0 #region-us
| alpaca formatted migtissera/Synthia-v1.3 | [] | [
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1228cbd81cf2f63c0115f813a7a202b668f2121a | # Dataset Card for "truthful_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jxie/truthful_qa | [
"region:us"
] | 2024-01-09T06:32:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 187702, "num_examples": 817}], "download_size": 98678, "dataset_s... | 2024-01-16T01:02:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "truthful_qa"
More Information needed | [
"# Dataset Card for \"truthful_qa\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"truthful_qa\"\n\nMore Information needed"
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6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"truthful_qa\"\n\nMore Information needed"
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ecd9731454ffc86161b5f9837f60ed5a3151047f | # Dataset Card for "TW-Kai_all_512"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mwkldeveloper/TW-Kai_all_512 | [
"region:us"
] | 2024-01-09T06:37:50+00:00 | {"dataset_info": {"features": [{"name": "char", "dtype": "string"}, {"name": "unicode", "dtype": "string"}, {"name": "images", "dtype": "image"}, {"name": "stroke", "dtype": "int32"}, {"name": "strokes_sequence", "sequence": "int32"}, {"name": "components", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes... | 2024-01-09T06:40:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TW-Kai_all_512"
More Information needed | [
"# Dataset Card for \"TW-Kai_all_512\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"TW-Kai_all_512\"\n\nMore Information needed"
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6,
19
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"passage: TAGS\n#region-us \n# Dataset Card for \"TW-Kai_all_512\"\n\nMore Information needed"
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09aeacf04b13c44530babeb3654132220efdc02f | # Dataset Card for "llama-classifier-data-v5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | magnifi/llama-classifier-data-v5 | [
"region:us"
] | 2024-01-09T06:40:42+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "user_text", "dtype": "string"}, {"name": "true_intent", "dtype": "string"}, {"name": "completion", "dtype": "string"}, {"nam... | 2024-01-09T06:40:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "llama-classifier-data-v5"
More Information needed | [
"# Dataset Card for \"llama-classifier-data-v5\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"llama-classifier-data-v5\"\n\nMore Information needed"
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220ab7687e3081d8eafd54aca6ef03e23ee08086 | # Dataset Card for "uf_safe_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yimingzhang/uf_safe_v1 | [
"region:us"
] | 2024-01-09T06:50:34+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_prefs", "path": "data/train_prefs-*"}, {"split": "test_prefs", "path": "data/test_prefs-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejec... | 2024-01-09T06:50:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "uf_safe_v1"
More Information needed | [
"# Dataset Card for \"uf_safe_v1\"\n\nMore Information needed"
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86c19431003c19a966c3d94fbe967dbc3f2e4fdc | Kannada translation of nvidia/HelpSteer | Tensoic/nvidia_helpsteer_kn | [
"task_categories:text-generation",
"language:kn",
"license:cc-by-4.0",
"region:us"
] | 2024-01-09T07:37:28+00:00 | {"language": ["kn"], "license": "cc-by-4.0", "task_categories": ["text-generation"]} | 2024-01-09T12:55:00+00:00 | [] | [
"kn"
] | TAGS
#task_categories-text-generation #language-Kannada #license-cc-by-4.0 #region-us
| Kannada translation of nvidia/HelpSteer | [] | [
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5d231d9c75c0568e4393b4c099860d3469a578be |
# Dataset Summary
Vietnamese-version of MedNLI. The data has been used as a benchmark for [evaluating a Vietnamese Biomedical-domain Transformer model](https://arxiv.org/abs/2210.05598).
# Citation
Please cite this paper if you use this dataset:
```
@misc{vipubmed,
doi = {10.48550/ARXIV.2210.05598},
url = {http... | VietAI/vi_mednli | [
"task_categories:text-classification",
"language:vi",
"license:apache-2.0",
"arxiv:2210.05598",
"region:us"
] | 2024-01-09T08:42:07+00:00 | {"language": ["vi"], "license": "apache-2.0", "task_categories": ["text-classification"]} | 2024-01-09T08:47:34+00:00 | [
"2210.05598"
] | [
"vi"
] | TAGS
#task_categories-text-classification #language-Vietnamese #license-apache-2.0 #arxiv-2210.05598 #region-us
|
# Dataset Summary
Vietnamese-version of MedNLI. The data has been used as a benchmark for evaluating a Vietnamese Biomedical-domain Transformer model.
Please cite this paper if you use this dataset:
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7501416c4ac9129a58d86852c20f99cfb044cdc1 | - `transformersbook/codeparrot-train` 데이터 셋에서 Data Science관련 코드만 추출하고 `huggingface-course/code-search-net-tokenizer` 를 사용해 토큰화를 마친 python 코드 데이터셋
- A python code dataset extracting only Data Science related code from the `transformersbook/codeparrot-train` dataset and tokenized using `huggingface-course/code-search-ne... | metamath/codeparrot-ds-tokenized-128 | [
"region:us"
] | 2024-01-09T09:53:56+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 8618263476, "num_examples": 16702061}, {"name": "valid", "num_bytes": 48072624, "num_examples": 93164}], "download_size": 3804670335, "dataset_size": 8666336100}, "configs": [{"config_name": "default", ... | 2024-01-09T10:07:54+00:00 | [] | [] | TAGS
#region-us
| - 'transformersbook/codeparrot-train' 데이터 셋에서 Data Science관련 코드만 추출하고 'huggingface-course/code-search-net-tokenizer' 를 사용해 토큰화를 마친 python 코드 데이터셋
- A python code dataset extracting only Data Science related code from the 'transformersbook/codeparrot-train' dataset and tokenized using 'huggingface-course/code-search-ne... | [] | [
"TAGS\n#region-us \n"
] | [
6
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8699c9074515a6ef91351675769c69cda55a960c | # Dataset Card for "glaive-function-calling-v2-formatted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | togethercomputer/glaive-function-calling-v2-formatted | [
"region:us"
] | 2024-01-09T09:58:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "messages", "dtype": "string"}, {"name": "tools", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 553629114.1147472, "num_examples": 111944}, {"name": "test", "num_bytes": 4945589.885252869, "num_examples": 1000}], "download_siz... | 2024-01-21T23:15:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "glaive-function-calling-v2-formatted"
More Information needed | [
"# Dataset Card for \"glaive-function-calling-v2-formatted\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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e449660d39ec83c4ccf0bff2dcfb9bbf6943ab89 | # README
## Description
The second version of the PubChem324k Dataset used in the paper: [MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter](https://arxiv.org/abs/2310.12798)
## Load Example
```python
import torch
from torch_geometric.data import InMemoryDataset
class Pub... | acharkq/PubChem324kV2 | [
"arxiv:2310.12798",
"region:us"
] | 2024-01-09T10:00:27+00:00 | {} | 2024-01-09T10:03:43+00:00 | [
"2310.12798"
] | [] | TAGS
#arxiv-2310.12798 #region-us
| # README
## Description
The second version of the PubChem324k Dataset used in the paper: MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
## Load Example
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] |
6e14910afefb848993fa1fc2ebf107e25c3b8104 |
10K Vietnamese abstracts extracted from `VietAI/vi_pubmed` for demo purposes only. | razent/vi_pubmed_small | [
"size_categories:10K<n<100K",
"language:vi",
"region:us"
] | 2024-01-09T10:02:42+00:00 | {"language": ["vi"], "size_categories": ["10K<n<100K"]} | 2024-01-09T10:29:49+00:00 | [] | [
"vi"
] | TAGS
#size_categories-10K<n<100K #language-Vietnamese #region-us
|
10K Vietnamese abstracts extracted from 'VietAI/vi_pubmed' for demo purposes only. | [] | [
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8ee7c43c216ec687baf1992d13ca0f22cf027197 |
- `transformersbook/codeparrot-train` 데이터 셋에서 Data Science 관련 코드를 추출하고 split당 10개씩만 고른 데모용 데어터셋
- A demo dataset that extracts Data Science related code from the `transformersbook/codeparrot-train` dataset and picks only 10 pieces per split.
| metamath/codeparrot-ds-raw-sm | [
"region:us"
] | 2024-01-09T10:14:37+00:00 | {"dataset_info": {"features": [{"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "copies", "dtype": "string"}, {"name": "size", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "license", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 60634, "num... | 2024-01-09T10:16:30+00:00 | [] | [] | TAGS
#region-us
|
- 'transformersbook/codeparrot-train' 데이터 셋에서 Data Science 관련 코드를 추출하고 split당 10개씩만 고른 데모용 데어터셋
- A demo dataset that extracts Data Science related code from the 'transformersbook/codeparrot-train' dataset and picks only 10 pieces per split.
| [] | [
"TAGS\n#region-us \n"
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6
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b5a54568a3b72b2e1d7dff6f5143c2c1819613d4 | # Dataset Card for "wmt22_w_shots_from_gptmt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nunonmg/wmt22_w_shots_from_gptmt | [
"region:us"
] | 2024-01-09T10:18:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "examples", "list": [{"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}]}, {... | 2024-01-09T10:18:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wmt22_w_shots_from_gptmt"
More Information needed | [
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56a7efd0a87875d67d385c6095bb1e804dff891c |
This dataset contains the Czech subset of the [`wikimedia/wikipedia`](https://huggingface.co/datasets/wikimedia/wikipedia) dataset. Each page is divided into paragraphs, stored as a list in the `chunks` column. For every paragraph, embeddings are created using the [`intfloat/multilingual-e5-small`](https://huggingface... | karmiq/wikipedia-embeddings-cs-e5-small | [
"task_categories:text-generation",
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"language:cs",
"license:cc-by-sa-3.0",
"license:gfdl",
"region:us"
] | 2024-01-09T10:39:36+00:00 | {"language": ["cs"], "license": ["cc-by-sa-3.0", "gfdl"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "fill-mask"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "chunks", "sequence": "stri... | 2024-01-09T13:21:39+00:00 | [] | [
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|
This dataset contains the Czech subset of the 'wikimedia/wikipedia' dataset. Each page is divided into paragraphs, stored as a list in the 'chunks' column. For every paragraph, embeddings are created using the 'intfloat/multilingual-e5-small' model.
## Usage
Load the dataset:
The structure makes it easy to use ... | [
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68c02939c06d6850f40f2911e1d1d49bd760139d | SD-198 dataset contains 198 different diseases from different types of
eczema, acne and various cancerous conditions. There are 6,584 images in total. | resyhgerwshshgdfghsdfgh/SD-198 | [
"task_categories:image-classification",
"license:other",
"medical",
"region:us"
] | 2024-01-09T10:42:14+00:00 | {"license": "other", "task_categories": ["image-classification"], "license_name": "unknown", "license_link": "https://xiaoxiaosun.com/docs/2016-eccv-sd198.pdf", "tags": ["medical"]} | 2024-01-09T11:09:11+00:00 | [] | [] | TAGS
#task_categories-image-classification #license-other #medical #region-us
| SD-198 dataset contains 198 different diseases from different types of
eczema, acne and various cancerous conditions. There are 6,584 images in total. | [] | [
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83ae61cdf8ab600a7e6fd9bef6ae6d2a002cf9c8 | # Dataset Card for "spider-bird"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PipableAI/pip-txt-to-sql-spider-bird-dataset | [
"region:us"
] | 2024-01-09T10:42:33+00:00 | {"dataset_info": {"features": [{"name": "schema", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "query", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24825271, "num_examples": 16428}], "download_size": 1320142, "dataset_size": 24825271}, "configs": [{"config_name": "default", "... | 2024-01-09T10:45:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "spider-bird"
More Information needed | [
"# Dataset Card for \"spider-bird\"\n\nMore Information needed"
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c763036ac170c96dd9d9adaa5f21ba51b1b4c57e |
# PyLaia RIMES Dataset
## Table of Contents
- [PyLaia RIMES Dataset](#pylaia-rimes-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](... | Teklia/rimes-2011-lines | [
"task_categories:image-to-text",
"language:fr",
"license:mit",
"region:us"
] | 2024-01-09T10:45:47+00:00 | {"language": ["fr"], "license": "mit", "task_categories": ["image-to-text"], "pretty_name": "PyLaia RIMES", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_examples": 10188}, {"name": "validation", "num_examples": 1138}, {"name":... | 2024-01-26T14:40:35+00:00 | [] | [
"fr"
] | TAGS
#task_categories-image-to-text #language-French #license-mit #region-us
|
# PyLaia RIMES Dataset
## Table of Contents
- PyLaia RIMES Dataset
- Table of Contents
- Dataset Description
- Languages
- Dataset Structure
- Data Instances
- Data Fields
## Dataset Description
- Homepage: ARTEMIS
- PapersWithCode: Papers using the RIMES dataset
- Point of Contact: TEKLIA
## Dat... | [
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e1caa77c96af7ae182fb19e831cff798a98785bf |
# ChEBI-20-MM Dataset
## Overview
The ChEBI-20-MM is an extensive and multi-modal benchmark developed from the ChEBI-20 dataset. It is designed to provide a comprehensive benchmark for evaluating various models' capabilities in the field of molecular science. This benchmark integrates multi-modal data, including InC... | liupf/ChEBI-20-MM | [
"task_categories:text-generation",
"task_categories:translation",
"license:mit",
"chemistry",
"biology",
"region:us"
] | 2024-01-09T10:49:20+00:00 | {"license": "mit", "task_categories": ["text-generation", "translation"], "tags": ["chemistry", "biology"]} | 2024-01-10T01:59:43+00:00 | [] | [] | TAGS
#task_categories-text-generation #task_categories-translation #license-mit #chemistry #biology #region-us
|
# ChEBI-20-MM Dataset
## Overview
The ChEBI-20-MM is an extensive and multi-modal benchmark developed from the ChEBI-20 dataset. It is designed to provide a comprehensive benchmark for evaluating various models' capabilities in the field of molecular science. This benchmark integrates multi-modal data, including InC... | [
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a81bbc4c55660d277237eef26e00e5cbdad40cdd |
# Dataset Card for "SciEntsBank"
SciEntsBank is one of the two distinct subsets within the Student Response Analysis (SRA) corpus, the other subset being the Beetle dataset.
Derived from student answers gathered by Nielsen et al. [1], this dataset comprises nearly 11K responses to 197 assessment questions spanning
15... | nkazi/SciEntsBank | [
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"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2024-01-09T10:52:26+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "SciEntsBank", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "reference_answer", "dtype": "string"}, {"name": "s... | 2024-01-10T03:56:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us
| Dataset Card for "SciEntsBank"
==============================
SciEntsBank is one of the two distinct subsets within the Student Response Analysis (SRA) corpus, the other subset being the Beetle dataset.
Derived from student answers gathered by Nielsen et al. [1], this dataset comprises nearly 11K responses to 197 ass... | [] | [
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5f4b8928a27d5ff6cb5f06ffbe075dfc07402fcd | # Dataset Card for "mini-imdb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ignacioct/mini-imdb | [
"region:us"
] | 2024-01-09T11:12:29+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "hola"}}}}], "splits": [{"name": "train", "num_bytes": 3704, "num_examples": 3}], "download_size": 14002, "dataset_size": 3704}, "configs": [{"config_name": "... | 2024-01-09T11:12:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mini-imdb"
More Information needed | [
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252227592e1dd5a0f92ef99040851de8eee1c3ea |
# Dataset Card for Rejection Sampling Phi-2 with OpenAssistant RM
## 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)
- [Languages](#languages)
-... | alizeepace/rejection_sampling_phi_2_OA_rm | [
"task_categories:question-answering",
"task_categories:text-generation",
"task_categories:conversational",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:GS... | 2024-01-09T11:49:03+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["expert-generated", "machine-generated"], "language": ["en"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["GSM8K"], "task_categories": ["question-answering", "text-generation", "conver... | 2024-01-10T06:55:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #task_categories-conversational #annotations_creators-machine-generated #language_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-GSM8K #language-English #license-... |
# Dataset Card for Rejection Sampling Phi-2 with OpenAssistant RM
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- S... | [
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7fe4f22caec438cb2f157dcb80f9409d190cf5d1 |
Kannada translation of jondurbin/airoboros-3.2 | Tensoic/airoboros-3.2_kn | [
"task_categories:text-generation",
"language:kn",
"license:cc-by-4.0",
"region:us"
] | 2024-01-09T12:33:17+00:00 | {"language": ["kn"], "license": "cc-by-4.0", "task_categories": ["text-generation"]} | 2024-01-09T15:34:28+00:00 | [] | [
"kn"
] | TAGS
#task_categories-text-generation #language-Kannada #license-cc-by-4.0 #region-us
|
Kannada translation of jondurbin/airoboros-3.2 | [] | [
"TAGS\n#task_categories-text-generation #language-Kannada #license-cc-by-4.0 #region-us \n"
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ffd1156a123de1a61932d57e7a6904b9f56ef369 |
# Dataset Card for SimpleQuestions-SPARQLtoText
## Table of Contents
- [Dataset Card for SimpleQuestions-SPARQLtoText](#dataset-card-for-simplequestions-sparqltotext)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [JSON fie... | OrangeInnov/simplequestions-sparqltotext | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:en",
"qa",
"knowledge-graph",
"sparql",
"region:us"
] | 2024-01-09T12:36:50+00:00 | {"language": ["en"], "task_categories": ["question-answering", "text-generation"], "dataset_info": {"features": [{"name": "original_nl_question", "dtype": "string"}, {"name": "recased_nl_question", "dtype": "string"}, {"name": "sparql_query", "dtype": "string"}, {"name": "verbalized_sparql_query", "dtype": "string"}, {... | 2024-01-11T13:18:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #language-English #qa #knowledge-graph #sparql #region-us
| Dataset Card for SimpleQuestions-SPARQLtoText
=============================================
Table of Contents
-----------------
* Dataset Card for SimpleQuestions-SPARQLtoText
+ Table of Contents
+ Dataset Description
- Dataset Summary
* JSON fields
* Format of the SPARQL queries
* Answerable/unanswera... | [
"### Dataset Summary\n\n\nSpecial version of SimpleQuestions with SPARQL queries formatted for the SPARQL-to-Text task.",
"#### JSON fields\n\n\nThe original version of SimpleQuestions is a raw text file listing triples and the natural language question. A JSON version has been generated and augmented with the fo... | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #language-English #qa #knowledge-graph #sparql #region-us \n",
"### Dataset Summary\n\n\nSpecial version of SimpleQuestions with SPARQL queries formatted for the SPARQL-to-Text task.",
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cdd5f044768ffaf43a2ba06f5e3015aa16cbd845 | ## 1000 examples of law items
law_item.jsonl contains 1000 samples of current and effective Chinese laws. e.g.
```python
{"title": "《中华人民共和国劳动合同法(2012修正)》",
"classification": "类别 : 劳动合同营商环境优化 ",
"num": "第十九条",
"contents": "第十九条【试用期】劳动合同期限三个月以上不满一年的，试用期不得超过一个月；劳动合同期限一年以上不满三年的，试用期不得超过二个月；三年以上固定期限和无固定期限的劳动合同，试用期不得超过六个月... | FarReelAILab/law_examples | [
"license:apache-2.0",
"region:us"
] | 2024-01-09T12:43:20+00:00 | {"license": "apache-2.0"} | 2024-01-09T14:20:54+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ## 1000 examples of law items
law_item.jsonl contains 1000 samples of current and effective Chinese laws. e.g.
## Using BGE Embedding to compute similarity between query and law item
output:
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] |
7e7ff471a9244549c39e04442baa9704a5360387 | # assignment-2
Dataset for the second assignment of the Deep Learning course at my university.
The dataset appears to be based on the [WinoGrande](https://winogrande.allenai.org) train_xl set (for the original training.jsonl) and dev/validation set (for test.jsonl).
The provided training set has been randomly split... | rw-r-r-0644/assignment-2 | [
"task_categories:fill-mask",
"task_categories:text-classification",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-2.0",
"region:us"
] | 2024-01-09T12:46:19+00:00 | {"language": ["en"], "license": "cc-by-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["fill-mask", "text-classification", "text2text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "train.jsonl"}, {"split": "validation", "path": "validation.jsonl"}, {"split":... | 2024-01-09T20:21:12+00:00 | [] | [
"en"
] | TAGS
#task_categories-fill-mask #task_categories-text-classification #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-cc-by-2.0 #region-us
| # assignment-2
Dataset for the second assignment of the Deep Learning course at my university.
The dataset appears to be based on the WinoGrande train_xl set (for the original URL) and dev/validation set (for URL).
The provided training set has been randomly split into training (85%) and validation (15%) sets.
... | [
"# assignment-2\nDataset for the second assignment of the Deep Learning course at my university. \nThe dataset appears to be based on the WinoGrande train_xl set (for the original URL) and dev/validation set (for URL). \nThe provided training set has been randomly split into training (85%) and validation (15%) se... | [
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40e0573769d55578317e3421f84cb52b877dc61d | ## verdicts examples
verdicts_200.jsonl contains 200 examples of verdicts from Chinese Judgements Online, we process the datasets for semantic retrieval
## using BGE to compute similarity between query and verdict
```python
from FlagEmbedding import FlagModel
from datasets import load_dataset
dataset = load_dataset("F... | FarReelAILab/verdicts | [
"license:apache-2.0",
"region:us"
] | 2024-01-09T12:51:04+00:00 | {"license": "apache-2.0"} | 2024-01-09T16:29:51+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ## verdicts examples
verdicts_200.jsonl contains 200 examples of verdicts from Chinese Judgements Online, we process the datasets for semantic retrieval
## using BGE to compute similarity between query and verdict
output:
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] |
c8f49deadd4a1c2aecad1b2c4c196df56470ebae |
# Dataset Card for LC-QuAD 2.0 - SPARQLtoText version
## Table of Contents
- [Dataset Card for LC-QuAD 2.0 - SPARQLtoText version](#dataset-card-for-lc-quad-20---sparqltotext-version)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)... | OrangeInnov/lc_quad2-sparqltotext | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:en",
"qa",
"knowledge-graph",
"sparql",
"region:us"
] | 2024-01-09T12:57:17+00:00 | {"language": ["en"], "task_categories": ["question-answering", "text-generation"], "dataset_info": {"features": [{"name": "uid", "dtype": "int32"}, {"name": "NNQT_question", "dtype": "string"}, {"name": "paraphrased_question", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "simplified_query", "dt... | 2024-01-11T13:15:50+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #language-English #qa #knowledge-graph #sparql #region-us
| Dataset Card for LC-QuAD 2.0 - SPARQLtoText version
===================================================
Table of Contents
-----------------
* Dataset Card for LC-QuAD 2.0 - SPARQLtoText version
+ Table of Contents
+ Dataset Description
- Dataset Summary
* New field 'simplified\_query'
* New split "valid"
... | [
"### Dataset Summary\n\n\nSpecial version of LC-QuAD 2.0 for the SPARQL-to-Text task",
"#### New field 'simplified\\_query'\n\n\nNew field is named \"simplified\\_query\". It results from applying the following step on the field \"query\":\n\n\n* Replacing URIs with a simpler format with prefix \"resource:\", \"p... | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #language-English #qa #knowledge-graph #sparql #region-us \n",
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12d5ecde6cd039eca68b6378fbfea7e0fae5284a |
# Dataset Card for ParaQA-SPARQLtoText
## Table of Contents
- [Dataset Card for ParaQA-SPARQLtoText](#dataset-card-for-paraqa-sparqltotext)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [New field `simplified_query`](#new-... | OrangeInnov/paraqa-sparqltotext | [
"task_categories:conversational",
"task_categories:question-answering",
"task_categories:text-generation",
"task_categories:text2text-generation",
"qa",
"knowledge-graph",
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"region:us"
] | 2024-01-09T13:13:04+00:00 | {"task_categories": ["conversational", "question-answering", "text-generation", "text2text-generation"], "dataset_info": {"features": [{"name": "uid", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "simplified_query", "dtype": "string"}, {"name": "answer", "d... | 2024-01-11T13:17:48+00:00 | [] | [] | TAGS
#task_categories-conversational #task_categories-question-answering #task_categories-text-generation #task_categories-text2text-generation #qa #knowledge-graph #sparql #region-us
| Dataset Card for ParaQA-SPARQLtoText
====================================
Table of Contents
-----------------
* Dataset Card for ParaQA-SPARQLtoText
+ Table of Contents
+ Dataset Description
- Dataset Summary
* New field 'simplified\_query'
* New split "valid"
- Languages
+ Dataset Structure
- Types ... | [
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b9cb84b48cad1a543049f18888e3af04cde541b3 | # Dataset Card for "myriade_noun_aligned_with_wordnet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gguichard/myriade_noun_aligned_with_wordnet | [
"region:us"
] | 2024-01-09T13:13:36+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "wn_sens", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 76227656, "num_examples": 127... | 2024-01-09T13:13:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "myriade_noun_aligned_with_wordnet"
More Information needed | [
"# Dataset Card for \"myriade_noun_aligned_with_wordnet\"\n\nMore Information needed"
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8c8a754a2882cc74aabf8bb5f7753931e6bb34a6 |
# Dataset Card for CSQA-SPARQLtoText
## Table of Contents
- [Dataset Card for CSQA-SPARQLtoText](#dataset-card-for-csqa-sparqltotext)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported tasks](#supported-tasks)
- ... | OrangeInnov/csqa-sparqltotext | [
"task_categories:conversational",
"task_categories:question-answering",
"language:en",
"license:cc-by-sa-4.0",
"qa",
"knowledge-graph",
"sparql",
"multi-hop",
"region:us"
] | 2024-01-09T13:19:54+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "task_categories": ["conversational", "question-answering"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "turns", "list": [{"name": "id", "dtype": "int64"}, {"name": "ques_type_id", "dtype": "int64"}, {"name": "question-type", "dtype": "strin... | 2024-01-11T13:15:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-question-answering #language-English #license-cc-by-sa-4.0 #qa #knowledge-graph #sparql #multi-hop #region-us
| Dataset Card for CSQA-SPARQLtoText
==================================
Table of Contents
-----------------
* Dataset Card for CSQA-SPARQLtoText
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported tasks
* Knowledge based question-answering
* SPARQL queries and natural language question... | [
"### Dataset Summary\n\n\nCSQA corpus (Complex Sequential Question-Answering, see URL is a large corpus for conversational knowledge-based question answering. The version here is augmented with various fields to make it easier to run specific tasks, especially SPARQL-to-text conversion.\n\n\nThe original data has b... | [
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2fde2659322f4d7d006c3ab7a4a08b2c12595324 |
# Jenny TTS Dataset
A high-quality, varied ~30hr voice dataset suitable for training a TTS model.
Voice is recorded by Jenny. She's Irish.
Material read include:
- Newspaper headlines
- Transcripts of various Youtube videos
- About 2/3 of the book '1984'
- Some of the book 'Little Women'
- Wikipedia articles, diffe... | reach-vb/jenny_tts_dataset | [
"region:us"
] | 2024-01-09T13:45:22+00:00 | {"dataset_info": {"features": [{"name": "file_name", "dtype": "string"}, {"name": "transcription", "dtype": "string"}, {"name": "transcription_normalised", "dtype": "string"}, {"name": "audio", "dtype": "audio"}], "splits": [{"name": "train", "num_bytes": 4983072167.73, "num_examples": 20978}], "download_size": 3741291... | 2024-01-09T14:11:57+00:00 | [] | [] | TAGS
#region-us
|
# Jenny TTS Dataset
A high-quality, varied ~30hr voice dataset suitable for training a TTS model.
Voice is recorded by Jenny. She's Irish.
Material read include:
- Newspaper headlines
- Transcripts of various Youtube videos
- About 2/3 of the book '1984'
- Some of the book 'Little Women'
- Wikipedia articles, diffe... | [
"# Jenny TTS Dataset\n\nA high-quality, varied ~30hr voice dataset suitable for training a TTS model.\n\nVoice is recorded by Jenny. She's Irish.\n\nMaterial read include:\n- Newspaper headlines\n- Transcripts of various Youtube videos\n- About 2/3 of the book '1984'\n- Some of the book 'Little Women'\n- Wikipedia ... | [
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12e742bcb29f911a18e5a2b8ed64c53a762c69dd |
# OmniVid
Youtube Video: 24,037,110 | vivym/OmniVid | [
"task_categories:text-to-video",
"license:apache-2.0",
"region:us"
] | 2024-01-09T13:55:33+00:00 | {"license": "apache-2.0", "task_categories": ["text-to-video"]} | 2024-01-09T15:17:18+00:00 | [] | [] | TAGS
#task_categories-text-to-video #license-apache-2.0 #region-us
|
# OmniVid
Youtube Video: 24,037,110 | [
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"TAGS\n#task_categories-text-to-video #license-apache-2.0 #region-us \n",
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6fc7b83c26c296d0fac0ea018b32f0ba1573ff54 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... | multiverse-io/test | [
"region:us"
] | 2024-01-09T15:02:52+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data.csv"}]}]} | 2024-01-09T15:02:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
### Out-of-... | [
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5e75314952ecb775177279f7acce83be1197dd44 |
# Dataset used to better understand how to:
## Correct Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
This is a handwritten dataset created to aid in better understanding the multi-hop reasoning capabilities of LLMs.
To learn how the dataset was constructed please check out the pr... | msakarvadia/handwritten_multihop_reasoning_data | [
"license:mit",
"arxiv:2309.05605",
"region:us"
] | 2024-01-09T15:23:39+00:00 | {"license": "mit"} | 2024-01-09T15:30:53+00:00 | [
"2309.05605"
] | [] | TAGS
#license-mit #arxiv-2309.05605 #region-us
|
# Dataset used to better understand how to:
## Correct Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
This is a handwritten dataset created to aid in better understanding the multi-hop reasoning capabilities of LLMs.
To learn how the dataset was constructed please check out the pr... | [
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c0c1f6730b97f215c74a5625cd8212f5923bcad9 |
## Toxic-DPO
This is a highly toxic, "harmful" dataset meant to illustrate how DPO can be used to de-censor/unalign a model quite easily using direct-preference-optimization (DPO) using very few examples.
Many of the examples still contain some amount of warnings/disclaimers, so it's still somewhat editorialized.
#... | unalignment/toxic-dpo-v0.2 | [
"license:cc-by-4.0",
"not-for-all-audiences",
"region:us"
] | 2024-01-09T15:24:20+00:00 | {"license": "cc-by-4.0", "tags": ["not-for-all-audiences"]} | 2024-01-09T16:37:22+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #not-for-all-audiences #region-us
|
## Toxic-DPO
This is a highly toxic, "harmful" dataset meant to illustrate how DPO can be used to de-censor/unalign a model quite easily using direct-preference-optimization (DPO) using very few examples.
Many of the examples still contain some amount of warnings/disclaimers, so it's still somewhat editorialized.
#... | [
"## Toxic-DPO\n\nThis is a highly toxic, \"harmful\" dataset meant to illustrate how DPO can be used to de-censor/unalign a model quite easily using direct-preference-optimization (DPO) using very few examples.\n\nMany of the examples still contain some amount of warnings/disclaimers, so it's still somewhat editori... | [
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"## Toxic-DPO\n\nThis is a highly toxic, \"harmful\" dataset meant to illustrate how DPO can be used to de-censor/unalign a model quite easily using direct-preference-optimization (DPO) using very few examples.\n\nMany of the examples still contain ... | [
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96e6b55a12167d19e252df0da1a0271efd258015 |
# 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).
## ... | AnaLFDias/spotify | [
"region:us"
] | 2024-01-09T15:49:02+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 90179.0, "num_examples": 4}], "download_size": 91938, "dataset_size": 90179.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train... | 2024-01-10T12:27:49+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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39c4e2a0d8b96728c40bf3ff4923c48f163e9fe9 |
# Lojban (jbo) wikipedia dataset dump
the dump was taken from here
https://dumps.wikimedia.org/jbowiktionary/20240101/
the exact release is jbowiktionary-20240101-pages-meta-current.xml.bz2
I then processed the data using https://github.com/daveshap/PlainTextWikipedia
Then I used chatGPT to make a python script to... | Badbummer/lojban-wikipedia-dump | [
"license:unknown",
"region:us"
] | 2024-01-09T15:55:36+00:00 | {"license": "unknown"} | 2024-01-09T16:00:58+00:00 | [] | [] | TAGS
#license-unknown #region-us
|
# Lojban (jbo) wikipedia dataset dump
the dump was taken from here
URL
the exact release is URL.bz2
I then processed the data using URL
Then I used chatGPT to make a python script to convert the individual JSON files output by the tool into a single jsonl file.
| [
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6bc389ef6a6ed4ac688e9e3f1bad56b1bc8a8f3b | yingyingzhang/my_work | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
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3887a10a9b41bb350b6d8b015ec26d4365df41a9 |
# News Summary
The summary is translated to hindi using IndicTrans2.
We additionally remove duplicates from the [original dataset](https://huggingface.co/datasets/argilla/news-summary)
**Usage**:
Cross-lingual summarization | BhabhaAI/news-summary | [
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:hi",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2024-01-09T16:13:00+00:00 | {"language": ["hi", "en"], "license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["summarization"]} | 2024-01-12T12:37:37+00:00 | [] | [
"hi",
"en"
] | TAGS
#task_categories-summarization #size_categories-10K<n<100K #language-Hindi #language-English #license-cc-by-nc-4.0 #region-us
|
# News Summary
The summary is translated to hindi using IndicTrans2.
We additionally remove duplicates from the original dataset
Usage:
Cross-lingual summarization | [
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3bbc4f5af2799c7e65b02a73da9b3ab69a93d16f | # Twitter User Dataset
This dataset was obtained by crawling Twitter's REST API using the Python library Tweepy 3. The dataset comprises tweets from the 20 most popular Twitter users based on the number of followers, with retweets excluded. These accounts include public figures such as Katy Perry and Barack Obama, pla... | haydenbanz/Tweets_Dataset | [
"license:mit",
"twitter",
"region:us"
] | 2024-01-09T16:19:26+00:00 | {"license": "mit", "tags": ["twitter"]} | 2024-01-09T16:24:18+00:00 | [] | [] | TAGS
#license-mit #twitter #region-us
| Twitter User Dataset
====================
This dataset was obtained by crawling Twitter's REST API using the Python library Tweepy 3. The dataset comprises tweets from the 20 most popular Twitter users based on the number of followers, with retweets excluded. These accounts include public figures such as Katy Perry a... | [
"### Top 20 Users\n\n\nScreen\\_Name: TheEllenShow, #Tweets: 3,147, Time Span (in days): 662\nScreen\\_Name: jimmyfallon, #Tweets: 3,123, Time Span (in days): 1,231\nScreen\\_Name: ArianaGrande, #Tweets: 3,104, Time Span (in days): 613\nScreen\\_Name: YouTube, #Tweets: 3,077, Time Span (in days): 411\nScreen\\_Name... | [
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a9e76f761832d38aae47cdcd09342a71e38e35f9 |
A very small sampling of snippets of comedy routines by George Carlin and Tom Segura. | unalignment/comedy-snippets-v0.1 | [
"license:cc-by-nc-4.0",
"region:us"
] | 2024-01-09T16:37:43+00:00 | {"license": "cc-by-nc-4.0"} | 2024-01-09T16:41:15+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
A very small sampling of snippets of comedy routines by George Carlin and Tom Segura. | [] | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n"
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6c8514835b6cc9a1af1d5a97b09a49801c3da0be | # Dataset Card for "bpo_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/bpo_binarized | [
"region:us"
] | 2024-01-09T16:41:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": ... | 2024-01-09T16:41:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bpo_binarized"
More Information needed | [
"# Dataset Card for \"bpo_binarized\"\n\nMore Information needed"
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281caada7cfcf95e1c38c24dd2a92757d4c6819c | One thousand original sketches and their associated ground truth images from the [Sketchy Dataset](https://faculty.cc.gatech.edu/~hays/tmp/sketchy-database.pdf), plus four thousand augmented versions of these sketches, where strokes have a random offset of 15px in the x and y directions. | hxgrace/augmentedSketches | [
"region:us"
] | 2024-01-09T16:46:42+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "sketch", "dtype": "image"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 339049273.0, "num_examples": 5000}], "download_size": 320275962, "dataset_size": 339049273.0}, "configs": [{"config_name": "default",... | 2024-02-07T02:08:58+00:00 | [] | [] | TAGS
#region-us
| One thousand original sketches and their associated ground truth images from the Sketchy Dataset, plus four thousand augmented versions of these sketches, where strokes have a random offset of 15px in the x and y directions. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0e39ee3a2db8691b16b9dddba5195e70be87b562 | # Dataset Card for "wikitext-2-raw-v1-shuffled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/wikitext-2-raw-v1-shuffled | [
"region:us"
] | 2024-01-09T17:02:38+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11018604, "num_examples": 36718}, {"name": "validation... | 2024-01-09T17:02:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikitext-2-raw-v1-shuffled"
More Information needed | [
"# Dataset Card for \"wikitext-2-raw-v1-shuffled\"\n\nMore Information needed"
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d44db8e274bed52fab54c1f776ac05dd1316cab2 | # Dataset Card for "wikitext-103-raw-v1-shuffled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/wikitext-103-raw-v1-shuffled | [
"region:us"
] | 2024-01-09T17:03:30+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 544387646, "num_examples": 1801350}, {"name": "validat... | 2024-01-09T17:04:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikitext-103-raw-v1-shuffled"
More Information needed | [
"# Dataset Card for \"wikitext-103-raw-v1-shuffled\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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5c6fff61c3b89da054bab218f65130cbc47554c1 | # Dataset Card for "gsm8k_sympy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tfshaman/gsm8k_sympy | [
"region:us"
] | 2024-01-09T17:04:25+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "gsm8k_id", "dtype": "int64"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "code", "dtype": "string"}, {"name": "answer", "dtype": "strin... | 2024-01-20T20:38:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gsm8k_sympy"
More Information needed | [
"# Dataset Card for \"gsm8k_sympy\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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a951f8fffb86bd4e7f4ca1ed0e70b7e9e5c7738d |
This dataset contains the Czech subset of the [`wikimedia/wikipedia`](https://huggingface.co/datasets/wikimedia/wikipedia) dataset. Each page is divided into paragraphs, stored as a list in the `chunks` column. For every paragraph, embeddings are created using the [`intfloat/multilingual-e5-large`](https://huggingface... | karmiq/wikipedia-embeddings-cs-e5-large | [
"task_categories:text-generation",
"task_categories:fill-mask",
"size_categories:100K<n<1M",
"language:cs",
"license:cc-by-sa-3.0",
"license:gfdl",
"region:us"
] | 2024-01-09T17:36:08+00:00 | {"language": ["cs"], "license": ["cc-by-sa-3.0", "gfdl"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "fill-mask"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "chunks", "sequence": "stri... | 2024-01-17T06:38:35+00:00 | [] | [
"cs"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #size_categories-100K<n<1M #language-Czech #license-cc-by-sa-3.0 #license-gfdl #region-us
|
This dataset contains the Czech subset of the 'wikimedia/wikipedia' dataset. Each page is divided into paragraphs, stored as a list in the 'chunks' column. For every paragraph, embeddings are created using the 'intfloat/multilingual-e5-large' model.
## Usage
Load the dataset:
The structure makes it easy to use ... | [
"## Usage\n\nLoad the dataset:\n\n\n\n\n\nThe structure makes it easy to use the dataset for implementing semantic search.\n\n<details>\n<summary>Load the data in Elasticsearch</summary>\n\n\n</details>\n\n<details>\n<summary>Use <code>sentence_transformers.util.semantic_search</code></summary>\n\n\n</details>\n\nT... | [
"TAGS\n#task_categories-text-generation #task_categories-fill-mask #size_categories-100K<n<1M #language-Czech #license-cc-by-sa-3.0 #license-gfdl #region-us \n",
"## Usage\n\nLoad the dataset:\n\n\n\n\n\nThe structure makes it easy to use the dataset for implementing semantic search.\n\n<details>\n<summary>Load t... | [
64,
107,
12
] | [
"passage: TAGS\n#task_categories-text-generation #task_categories-fill-mask #size_categories-100K<n<1M #language-Czech #license-cc-by-sa-3.0 #license-gfdl #region-us \n## Usage\n\nLoad the dataset:\n\n\n\n\n\nThe structure makes it easy to use the dataset for implementing semantic search.\n\n<details>\n<summary>Loa... |
65da1f1ded86b56f59b401de25236966ad7e6d21 | # Dataset Card for "pippa_deduped_detoxify_score"
This dataset is produced from using Detoxify (https://github.com/unitaryai/detoxify) on the dataset:
- PygmalionAI/PIPPA (deduped version only)
On cursory review, there are some outliers:
- content not marked for toxicity
- content marked for toxicity incorrectly
- so... | jtatman/pippa_deduped_detoxify_score | [
"task_categories:text-classification",
"task_categories:feature-extraction",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"detoxify",
"not-for-all-audiences",
"sentiment analysis",
"toxic chat",
"region:us"
] | 2024-01-09T17:45:48+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "feature-extraction"], "pretty_name": "pippa_detoxify_scores", "dataset_info": {"features": [{"name": "conversations", "dtype": "string"}, {"name": "toxicity", "dtype": "float64"}, {"name": "sever... | 2024-01-09T18:00:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-feature-extraction #size_categories-10K<n<100K #language-English #license-apache-2.0 #detoxify #not-for-all-audiences #sentiment analysis #toxic chat #region-us
| # Dataset Card for "pippa_deduped_detoxify_score"
This dataset is produced from using Detoxify (URL on the dataset:
- PygmalionAI/PIPPA (deduped version only)
On cursory review, there are some outliers:
- content not marked for toxicity
- content marked for toxicity incorrectly
- some content marked with high scores ... | [
"# Dataset Card for \"pippa_deduped_detoxify_score\"\n\nThis dataset is produced from using Detoxify (URL on the dataset:\n- PygmalionAI/PIPPA (deduped version only)\n\nOn cursory review, there are some outliers:\n- content not marked for toxicity\n- content marked for toxicity incorrectly\n- some content marked wi... | [
"TAGS\n#task_categories-text-classification #task_categories-feature-extraction #size_categories-10K<n<100K #language-English #license-apache-2.0 #detoxify #not-for-all-audiences #sentiment analysis #toxic chat #region-us \n",
"# Dataset Card for \"pippa_deduped_detoxify_score\"\n\nThis dataset is produced from u... | [
73,
146
] | [
"passage: TAGS\n#task_categories-text-classification #task_categories-feature-extraction #size_categories-10K<n<100K #language-English #license-apache-2.0 #detoxify #not-for-all-audiences #sentiment analysis #toxic chat #region-us \n# Dataset Card for \"pippa_deduped_detoxify_score\"\n\nThis dataset is produced fro... |
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