sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44983beb68b36565571fa6980d50145e26f4b322 | # WizardLM_evol_instruct_V2_196k-Turkish
```
Dataset Cost: USD 305
Translated with: gpt-3.5-turbo-1106
Elapsed Time: 3 hours 41 minutes
```
## Metrics:
```
English Token Count: 67.686.140
Token Count After Turkish Translation: 99.760.316
Number of Successfully Translated Row: 143.000
``` | t3aile/WizardLM_evol_instruct_V2_196k-Turkish | [
"size_categories:100K<n<1M",
"language:tr",
"region:us"
] | 2023-12-31T23:07:05+00:00 | {"language": ["tr"], "size_categories": ["100K<n<1M"]} | 2024-01-03T16:18:31+00:00 | [] | [
"tr"
] | TAGS
#size_categories-100K<n<1M #language-Turkish #region-us
| # WizardLM_evol_instruct_V2_196k-Turkish
## Metrics:
| [
"# WizardLM_evol_instruct_V2_196k-Turkish",
"## Metrics:"
] | [
"TAGS\n#size_categories-100K<n<1M #language-Turkish #region-us \n",
"# WizardLM_evol_instruct_V2_196k-Turkish",
"## Metrics:"
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] | [
"passage: TAGS\n#size_categories-100K<n<1M #language-Turkish #region-us \n# WizardLM_evol_instruct_V2_196k-Turkish## Metrics:"
] |
122b626f6127ca111659a4354590845b30736f9a |
# Wikidata Labels
Large parallel corpus for machine translation
- Entity label data extracted from Wikidata (2022-01-03), filtered for item entities only
- Only download the languages you need with `datasets>=2.14.0`
- Similar dataset: https://huggingface.co/datasets/wmt/wikititles (18 Wikipedia titles pairs inste... | rayliuca/WikidataLabels | [
"task_categories:translation",
"task_categories:text2text-generation",
"language:en",
"language:fr",
"language:de",
"language:ja",
"language:zh",
"language:hi",
"language:ar",
"language:bn",
"language:ru",
"language:es",
"license:cc0-1.0",
"region:us"
] | 2024-01-01T00:23:08+00:00 | {"language": ["en", "fr", "de", "ja", "zh", "hi", "ar", "bn", "ru", "es"], "license": "cc0-1.0", "task_categories": ["translation", "text2text-generation"], "dataset_info": [{"config_name": "aa", "features": [{"name": "wikidata_id", "dtype": "string"}, {"name": "lastrevid", "dtype": "int64"}, {"name": "label", "dtype":... | 2024-01-11T04:17:57+00:00 | [] | [
"en",
"fr",
"de",
"ja",
"zh",
"hi",
"ar",
"bn",
"ru",
"es"
] | TAGS
#task_categories-translation #task_categories-text2text-generation #language-English #language-French #language-German #language-Japanese #language-Chinese #language-Hindi #language-Arabic #language-Bengali #language-Russian #language-Spanish #license-cc0-1.0 #region-us
| Wikidata Labels
===============
Large parallel corpus for machine translation
* Entity label data extracted from Wikidata (2022-01-03), filtered for item entities only
* Only download the languages you need with 'datasets>=2.14.0'
* Similar dataset: URL (18 Wikipedia titles pairs instead of all Wikidata entities)
... | [
"### Dataset Sources\n\n\n* Wikidata JSON dump (URL) URL\n\n\nUses\n----\n\n\nYou can generate parallel text examples from this dataset like below:",
"### Output\n\n\n\nNote: this example table above shows a quirk(?) of the Wiki data. The French Wikipedia page The World's Finest Assassin Gets Reincarnated in Anot... | [
"TAGS\n#task_categories-translation #task_categories-text2text-generation #language-English #language-French #language-German #language-Japanese #language-Chinese #language-Hindi #language-Arabic #language-Bengali #language-Russian #language-Spanish #license-cc0-1.0 #region-us \n",
"### Dataset Sources\n\n\n* Wik... | [
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c4b22a7efc56b97eed9e2f82782edfac9ad21c48 |
# 𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰
<img src="assets/finch_logo.png" width="400">
## Overview
__*FINCH*__ is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA),
Extractive Question Answering (EQA), Binary Question Answering (BQA), Num... | FINNUMBER/QA_Instruction | [
"license:mit",
"region:us"
] | 2024-01-01T02:00:49+00:00 | {"license": "mit", "configs": [{"config_name": "Multiple-Choice QA", "data_files": [{"split": "train", "path": "data/MCQA_Rationale.csv"}]}, {"config_name": "Binary QA", "data_files": [{"split": "train", "path": "data/BQA_Rationale.csv"}]}, {"config_name": "Extractive QA", "data_files": [{"split": "train", "path": "dat... | 2024-01-14T15:06:02+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# 𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰
<img src="assets/finch_logo.png" width="400">
## Overview
__*FINCH*__ is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA),
Extractive Question Answering (EQA), Binary Question Answering (BQA), Num... | [
"# 𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰\n\n\n<img src=\"assets/finch_logo.png\" width=\"400\">",
"## Overview\n__*FINCH*__ is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA), \nExtractive Question Answering (EQA), Binary Question Ans... | [
"TAGS\n#license-mit #region-us \n",
"# 𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰\n\n\n<img src=\"assets/finch_logo.png\" width=\"400\">",
"## Overview\n__*FINCH*__ is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA), \nExtractive Questio... | [
11,
40,
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"passage: TAGS\n#license-mit #region-us \n# 𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰\n\n\n<img src=\"assets/finch_logo.png\" width=\"400\">## Overview\n__*FINCH*__ is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA), \nExtractive Question A... |
458615302f1d88418eb35963c87c90754d3cb647 | ## Object-Centric Learning with Object Constancy (OCLOC) Datasets
This repository contains the datasets used in the paper "Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints".
### CLEVR and SHOP Datasets
The datasets named CLEVR and SHOP used in this paper are constructed based on the CLEVR da... | jinyangyuan/ocloc-data | [
"arxiv:1512.03012",
"region:us"
] | 2024-01-01T02:16:13+00:00 | {} | 2024-01-01T04:45:08+00:00 | [
"1512.03012"
] | [] | TAGS
#arxiv-1512.03012 #region-us
| Object-Centric Learning with Object Constancy (OCLOC) Datasets
--------------------------------------------------------------
This repository contains the datasets used in the paper "Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints".
### CLEVR and SHOP Datasets
The datasets named CLEVR an... | [
"### CLEVR and SHOP Datasets\n\n\nThe datasets named CLEVR and SHOP used in this paper are constructed based on the CLEVR dataset [[Johnson et al., CVPR-17]](URL and the SHOP-VRB dataset [[Nazarczuk & Mikolajczyk, ICRA-20]](URL respectively. The official code provided by the CLEVR and SHOP-VRB datasets are slightly... | [
"TAGS\n#arxiv-1512.03012 #region-us \n",
"### CLEVR and SHOP Datasets\n\n\nThe datasets named CLEVR and SHOP used in this paper are constructed based on the CLEVR dataset [[Johnson et al., CVPR-17]](URL and the SHOP-VRB dataset [[Nazarczuk & Mikolajczyk, ICRA-20]](URL respectively. The official code provided by t... | [
15,
162,
118,
94
] | [
"passage: TAGS\n#arxiv-1512.03012 #region-us \n### CLEVR and SHOP Datasets\n\n\nThe datasets named CLEVR and SHOP used in this paper are constructed based on the CLEVR dataset [[Johnson et al., CVPR-17]](URL and the SHOP-VRB dataset [[Nazarczuk & Mikolajczyk, ICRA-20]](URL respectively. The official code provided b... |
22e8f9f93dbe83e9c4755b651204543cfa37fee9 |
# Rejecction Sampling Q&A
This dataset is a very small curated question-answer pairs.
The questions were hand-crafted to test the model's capabilities to follow instruction across various domains.
The answers were generated using [Microsoft's Phi-2](https://huggingface.co/microsoft/phi-2) and curated using [OpenAssi... | alehc/rejection-sampling-QA | [
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:n<1K",
"language:en",
"license:mit",
"QA",
"testing",
"tiny",
"arxiv:2205.11916",
"arxiv:2307.09288",
"region:us"
] | 2024-01-01T02:24:02+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["conversational", "text-generation", "text2text-generation"], "pretty_name": "Rejection Sampling QA", "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype... | 2024-01-01T02:29:13+00:00 | [
"2205.11916",
"2307.09288"
] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-text-generation #task_categories-text2text-generation #size_categories-n<1K #language-English #license-mit #QA #testing #tiny #arxiv-2205.11916 #arxiv-2307.09288 #region-us
|
# Rejecction Sampling Q&A
This dataset is a very small curated question-answer pairs.
The questions were hand-crafted to test the model's capabilities to follow instruction across various domains.
The answers were generated using Microsoft's Phi-2 and curated using OpenAssistant's Large DeBERTa v3 Reward Model v2.
... | [
"# Rejecction Sampling Q&A\n\nThis dataset is a very small curated question-answer pairs.\nThe questions were hand-crafted to test the model's capabilities to follow instruction across various domains.\nThe answers were generated using Microsoft's Phi-2 and curated using OpenAssistant's Large DeBERTa v3 Reward Mode... | [
"TAGS\n#task_categories-conversational #task_categories-text-generation #task_categories-text2text-generation #size_categories-n<1K #language-English #license-mit #QA #testing #tiny #arxiv-2205.11916 #arxiv-2307.09288 #region-us \n",
"# Rejecction Sampling Q&A\n\nThis dataset is a very small curated question-answ... | [
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"passage: TAGS\n#task_categories-conversational #task_categories-text-generation #task_categories-text2text-generation #size_categories-n<1K #language-English #license-mit #QA #testing #tiny #arxiv-2205.11916 #arxiv-2307.09288 #region-us \n# Rejecction Sampling Q&A\n\nThis dataset is a very small curated question-a... |
874631a55a9c20ae9710ab2038fc578b23b5f5b7 |
# IMDA National Speech Corpus (NSC) Text-to-Speech
Originally from https://www.imda.gov.sg/how-we-can-help/national-speech-corpus, this repository simply a mirror. This dataset associated with Singapore Open Data Licence, https://www.sla.gov.sg/newsroom/statistics/singapore-open-data-licence
We uploaded wav files an... | mesolitica/IMDA-TTS | [
"task_categories:text-to-speech",
"language:en",
"region:us"
] | 2024-01-01T04:01:41+00:00 | {"language": ["en"], "task_categories": ["text-to-speech"], "pretty_name": "imda-"} | 2024-01-01T04:16:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-speech #language-English #region-us
|
# IMDA National Speech Corpus (NSC) Text-to-Speech
Originally from URL this repository simply a mirror. This dataset associated with Singapore Open Data Licence, URL
We uploaded wav files and transcription. | [
"# IMDA National Speech Corpus (NSC) Text-to-Speech\n\nOriginally from URL this repository simply a mirror. This dataset associated with Singapore Open Data Licence, URL\n\nWe uploaded wav files and transcription."
] | [
"TAGS\n#task_categories-text-to-speech #language-English #region-us \n",
"# IMDA National Speech Corpus (NSC) Text-to-Speech\n\nOriginally from URL this repository simply a mirror. This dataset associated with Singapore Open Data Licence, URL\n\nWe uploaded wav files and transcription."
] | [
23,
51
] | [
"passage: TAGS\n#task_categories-text-to-speech #language-English #region-us \n# IMDA National Speech Corpus (NSC) Text-to-Speech\n\nOriginally from URL this repository simply a mirror. This dataset associated with Singapore Open Data Licence, URL\n\nWe uploaded wav files and transcription."
] |
00ad9dcd26ca9ef0ce3915cdc89859cdd8e9fa1a | Hindi translation of populate datasets using ai4bharat/indictrans2-en-indic-dist-200M
---
dataset_info:
features:
- name: instruction
dtype: string
- name: response
dtype: string
- name: system
dtype: string
- name: org_dataset
dtype: string
- name: primary_category
dtype: string
- n... | manishiitg/en-hi-instruct-v2 | [
"region:us"
] | 2024-01-01T05:29:38+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "system", "dtype": "string"}, {"name": "org_dataset", "dtype": "string"}, {"name": "messages", "dtype": "null"}, {"name": "primary_category", "dtype": "string"}, {"name": "category", "dtype": "st... | 2024-02-12T06:00:35+00:00 | [] | [] | TAGS
#region-us
| Hindi translation of populate datasets using ai4bharat/indictrans2-en-indic-dist-200M
---
dataset_info:
features:
- name: instruction
dtype: string
- name: response
dtype: string
- name: system
dtype: string
- name: org_dataset
dtype: string
- name: primary_category
dtype: string
- n... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
32e55ac34509a74ee26e70a33a6827188ae629dd |
このデータセットはmC4の日本語データに対し、文の割合に応じて1~5段階で人手で評価したものです。
文の割合はデータセットの```score```に格納しています。
1. 文の割合が20%以下
2. 文の割合が20~40%
3. 文の割合が40~60%
4. 文の割合が60~80%
5. 文の割合が80~100%
データ量は500件と少ないですが、mC4のゴミデータ削除に役立てればと思います。 | oriki101/mc4_ja_text_volume_annotatted_data | [
"license:odc-by",
"region:us"
] | 2024-01-01T05:43:03+00:00 | {"license": "odc-by", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "int64"}, {"name": "url", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"na... | 2024-01-01T13:00:00+00:00 | [] | [] | TAGS
#license-odc-by #region-us
|
このデータセットはmC4の日本語データに対し、文の割合に応じて1~5段階で人手で評価したものです。
文の割合はデータセットのに格納しています。
1. 文の割合が20%以下
2. 文の割合が20~40%
3. 文の割合が40~60%
4. 文の割合が60~80%
5. 文の割合が80~100%
データ量は500件と少ないですが、mC4のゴミデータ削除に役立てればと思います。 | [] | [
"TAGS\n#license-odc-by #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-odc-by #region-us \n"
] |
415bf90976aafc5ddec08ad439f423b738937b5f | Hindi translation of populate datasets using ai4bharat/indictrans2-en-indic-dist-200M
---
dataset_info:
features:
- name: org_dataset
dtype: string
- name: uniq_id
dtype: string
- name: en_messages
list:
- name: content
dtype: string
- name: input
dtype: string
- name: outp... | manishiitg/en-hi-chat-v2 | [
"region:us"
] | 2024-01-01T05:48:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "org_dataset", "dtype": "string"}, {"name": "uniq_id", "dtype": "string"}, {"name": "en_messages", "list": [{"name": "content", "dtype": "string"}, {"name": "input", "dtype": "str... | 2024-02-03T11:12:05+00:00 | [] | [] | TAGS
#region-us
| Hindi translation of populate datasets using ai4bharat/indictrans2-en-indic-dist-200M
---
dataset_info:
features:
- name: org_dataset
dtype: string
- name: uniq_id
dtype: string
- name: en_messages
list:
- name: content
dtype: string
- name: input
dtype: string
- name: outp... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
60b89c2dc10a8cb882b05cc871561697ef602db8 | # Dataset Card for "iraq_captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Falah/iraq_captions | [
"region:us"
] | 2024-01-01T06:38:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 278175.0, "num_examples": 3}], "download_size": 0, "dataset_size": 278175.0}} | 2024-01-09T07:38:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "iraq_captions"
More Information needed | [
"# Dataset Card for \"iraq_captions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"iraq_captions\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"iraq_captions\"\n\nMore Information needed"
] |
3f314b789be17df06796653308b5f2e51cae7349 |
Here we share a German dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been a... | CausalLM/GPT-4-Self-Instruct-German | [
"task_categories:text-generation",
"language:de",
"license:cc-by-4.0",
"gpt4",
"region:us"
] | 2024-01-01T07:10:14+00:00 | {"language": ["de"], "license": "cc-by-4.0", "task_categories": ["text-generation"], "tags": ["gpt4"]} | 2024-01-02T01:03:46+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-generation #language-German #license-cc-by-4.0 #gpt4 #region-us
|
Here we share a German dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been a... | [] | [
"TAGS\n#task_categories-text-generation #language-German #license-cc-by-4.0 #gpt4 #region-us \n"
] | [
34
] | [
"passage: TAGS\n#task_categories-text-generation #language-German #license-cc-by-4.0 #gpt4 #region-us \n"
] |
1a0cdd8af46e26f3498e1803e580cc6727c7bcf2 | Here we share a Japanese dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been ... | CausalLM/GPT-4-Self-Instruct-Japanese | [
"language:ja",
"license:cc-by-4.0",
"gpt4",
"region:us"
] | 2024-01-01T07:38:56+00:00 | {"language": ["ja"], "license": "cc-by-4.0", "tags": ["gpt4"]} | 2024-01-02T15:37:27+00:00 | [] | [
"ja"
] | TAGS
#language-Japanese #license-cc-by-4.0 #gpt4 #region-us
| Here we share a Japanese dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been ... | [] | [
"TAGS\n#language-Japanese #license-cc-by-4.0 #gpt4 #region-us \n"
] | [
25
] | [
"passage: TAGS\n#language-Japanese #license-cc-by-4.0 #gpt4 #region-us \n"
] |
34b32b24247edea0afa3f3053b7fdf5da1041a00 |
# 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).
## ... | SSEF-HG-AC/cyberbullying-instagram-balanced-1128 | [
"license:cc",
"region:us"
] | 2024-01-01T07:57:27+00:00 | {"license": "cc"} | 2024-01-02T09:02:32+00:00 | [] | [] | TAGS
#license-cc #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.
## Dataset Details
### Dataset Description
Scraped from instagram and labeled for cyberbullying. Dataset was augmented to balance postitive and negetive labels.
- Curat... | [
"# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"## Dataset Details",
"### Dataset Description\n\nScraped from instagram and labeled for cyberbullying. Dataset was augmented to balance postitive and negetive ... | [
"TAGS\n#license-cc #region-us \n",
"# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"## Dataset Details",
"### Dataset Description\n\nScraped from instagram and labeled for cyberbullying. Dataset was augment... | [
11,
34,
4,
69,
29,
3,
4,
9,
6,
5,
7,
4,
7,
10,
9,
5,
9,
8,
10,
46,
8,
7,
10,
5
] | [
"passage: TAGS\n#license-cc #region-us \n# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.## Dataset Details### Dataset Description\n\nScraped from instagram and labeled for cyberbullying. Dataset was augmented to bal... |
e3f8af3ef834d16adc970ee38fe3ffe1467c483b |
This is an improved subset version of Aksharantar hindi dataset. Find original [here](https://ai4bharat.iitm.ac.in/aksharantar-dataset/).
Further improvements are in progress. | BhabhaAI/Aksharantar-hindi | [
"language:hi",
"region:us"
] | 2024-01-01T08:04:44+00:00 | {"language": ["hi"]} | 2024-01-01T08:11:29+00:00 | [] | [
"hi"
] | TAGS
#language-Hindi #region-us
|
This is an improved subset version of Aksharantar hindi dataset. Find original here.
Further improvements are in progress. | [] | [
"TAGS\n#language-Hindi #region-us \n"
] | [
10
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"passage: TAGS\n#language-Hindi #region-us \n"
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98a18b91aca4b0de28e734517d576ae95d3ce936 |
# Entity Popularity Dataset
This dataset contains information for about 26,000 entities, including the Wikipedia article title, QID, and the annual article view count for the year 2021.
The annual article view count can be considered as an indicator of the popularity of a entity.
## Languages
This dataset is c... | masaki-sakata/entity_popularity | [
"language:en",
"license:mit",
"Wikipedia",
"Entity",
"QID",
"Popularity",
"Knowledge",
"region:us"
] | 2024-01-01T08:05:00+00:00 | {"language": ["en"], "license": "mit", "dataset_info": {"features": [{"name": "wiki_title", "dtype": "string"}, {"name": "popularity", "dtype": "int64"}, {"name": "qid", "dtype": "string"}], "splits": [{"name": "en", "num_bytes": 1049005, "num_examples": 26270}], "download_size": 819673, "dataset_size": 1049005}, "conf... | 2024-01-07T07:04:35+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #Wikipedia #Entity #QID #Popularity #Knowledge #region-us
|
# Entity Popularity Dataset
This dataset contains information for about 26,000 entities, including the Wikipedia article title, QID, and the annual article view count for the year 2021.
The annual article view count can be considered as an indicator of the popularity of a entity.
## Languages
This dataset is c... | [
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7998e979bc3d1344828af6df7eb3b570d72d81cc | ## SLR63: Crowdsourced high-quality Malayalam multi-speaker speech data set
This data set contains transcribed high-quality audio of Malayalam sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcripti... | vrclc/openslr63 | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"size_categories:1K<n<10K",
"language:ml",
"license:cc-by-4.0",
"region:us"
] | 2024-01-01T09:11:33+00:00 | {"language": ["ml"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["automatic-speech-recognition", "text-to-speech"], "pretty_name": "OPEN SLR 63"} | 2024-01-01T09:20:25+00:00 | [] | [
"ml"
] | TAGS
#task_categories-automatic-speech-recognition #task_categories-text-to-speech #size_categories-1K<n<10K #language-Malayalam #license-cc-by-4.0 #region-us
| ## SLR63: Crowdsourced high-quality Malayalam multi-speaker speech data set
This data set contains transcribed high-quality audio of Malayalam sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcripti... | [
"## SLR63: Crowdsourced high-quality Malayalam multi-speaker speech data set\n\nThis data set contains transcribed high-quality audio of Malayalam sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the tran... | [
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b1dd8d3ab90f3b0d01fcd95db9a773093b76c7e8 |
Use only for Alignment research. NOETI is not responsible for what you might do with it. | NobodyExistsOnTheInternet/ToxicQAFinal | [
"not-for-all-audiences",
"region:us"
] | 2024-01-01T10:48:48+00:00 | {"tags": ["not-for-all-audiences"]} | 2024-01-10T14:26:24+00:00 | [] | [] | TAGS
#not-for-all-audiences #region-us
|
Use only for Alignment research. NOETI is not responsible for what you might do with it. | [] | [
"TAGS\n#not-for-all-audiences #region-us \n"
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15
] | [
"passage: TAGS\n#not-for-all-audiences #region-us \n"
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23b5403adfc111160b7edb319ae1e5cbf7b98e95 |
# Dataset Card for Steamboat Willy frames
This dataset contains all frames of the original formerly Disney's Steamboat Willie short movie that entered the public domain in the United States in Jan 1st 2024. The frames have been upscaled.
This short movie was the first apperance of the Mickey Mouse™️ character.
## Us... | multimodalart/steamboat-willy-frames | [
"license:cc0-1.0",
"region:us"
] | 2024-01-01T11:39:28+00:00 | {"license": "cc0-1.0"} | 2024-01-01T15:41:08+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Steamboat Willy frames
This dataset contains all frames of the original formerly Disney's Steamboat Willie short movie that entered the public domain in the United States in Jan 1st 2024. The frames have been upscaled.
This short movie was the first apperance of the Mickey Mouse™️ character.
## Us... | [
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18f4b640517d28108749d135219da34c7b7b7b8c | # Dataset Card for "hp_global"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nitinbhayana/hp_global | [
"region:us"
] | 2024-01-01T11:47:35+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 431766, "num_examples": 2770}, {"name": "test", "num_bytes": 201909, "num_examples": 1283}], "download_size": 287803, "dataset_size": 633675}} | 2024-01-01T11:47:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hp_global"
More Information needed | [
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f04c6fbc39e41244b5d881c97dd8b45d1aee7e25 |
# KnowEdit: A Benchmark of Knowledge Editing for LLMs
This README is about reproducing the paper [A Comprehensive Study of Knowledge Editing for Large Language Models](https://arxiv.org/abs/2401.01286).
You can use [EasyEdit](https://github.com/zjunlp/EasyEdit) to load and use this benchmark.
## Table of Contents
- ... | zjunlp/KnowEdit | [
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:text2text-generation",
"language:en",
"license:mit",
"knowledge-editing",
"model-editing",
"large-language-model",
"arxiv:2401.01286",
"region:us"
] | 2024-01-01T12:05:20+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["text-generation", "question-answering", "text2text-generation"], "tags": ["knowledge-editing", "model-editing", "large-language-model"]} | 2024-01-31T16:33:57+00:00 | [
"2401.01286"
] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-question-answering #task_categories-text2text-generation #language-English #license-mit #knowledge-editing #model-editing #large-language-model #arxiv-2401.01286 #region-us
| KnowEdit: A Benchmark of Knowledge Editing for LLMs
===================================================
This README is about reproducing the paper A Comprehensive Study of Knowledge Editing for Large Language Models.
You can use EasyEdit to load and use this benchmark.
Table of Contents
-----------------
* Datase... | [
"# Train | 570 | 10,000 | 592 | 1,455 | 14,390 | 80 |\n| # Test | 1,266 | 1230 | 1,392 | 885 | 800 | 80 |\n\n\n\n\n---\n\n\nDifferent JSON files have distinct data types. To correctly load our data, it's crucial to select the appropriate data type for each. For instance:\n\n\n* For the WikiBio dataset, we should us... | [
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ec7c5d9aad7badcba6befa9059d4ab9d58cd5d51 | # Dataset
Current evol-20k filter dataset was used initially and utilised only the question-answer pairs having the length of tokens of answers >100. | Akil15/evol_20k_filter | [
"region:us"
] | 2024-01-01T12:09:57+00:00 | {} | 2024-01-18T09:29:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset
Current evol-20k filter dataset was used initially and utilised only the question-answer pairs having the length of tokens of answers >100. | [
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c8a7c1678fc5afaa3d9d438a5547f0a2e36aac17 |
# Alpaca Urdu
## Description
The Alpaca Urdu is a translation of the original dataset into Urdu. This dataset is a part of the Alpaca project and is designed for NLP tasks.
## Dataset Information
- **Size:** The translated dataset contains [45,622] samples.
- **Languages:** Urdu
- **License:** [cc-by-4.0]
- **Ori... | mwz/alpaca-ur | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:ur",
"license:cc-by-4.0",
"instruction-finetuning",
"region:us"
] | 2024-01-01T12:15:35+00:00 | {"language": ["ur"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "answer_lengths", "dtype": "null"}], "splits": [{"name": "train", "num_bytes": 51251... | 2024-01-01T12:24:50+00:00 | [] | [
"ur"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-Urdu #license-cc-by-4.0 #instruction-finetuning #region-us
|
# Alpaca Urdu
## Description
The Alpaca Urdu is a translation of the original dataset into Urdu. This dataset is a part of the Alpaca project and is designed for NLP tasks.
## Dataset Information
- Size: The translated dataset contains [45,622] samples.
- Languages: Urdu
- License: [cc-by-4.0]
- Original Dataset:... | [
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aa4cdd4e657dd26410b3ae5b1ce815553845d352 | Terrorist Attacks Data Since 1970-2023
FROM https://www.kaggle.com/datasets/rafsunahmad/terrorist-attacks-data-since-1970-2023/code | botware/TerroristAttacks | [
"license:apache-2.0",
"region:us"
] | 2024-01-01T12:24:27+00:00 | {"license": "apache-2.0"} | 2024-01-01T12:26:17+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Terrorist Attacks Data Since 1970-2023
FROM URL | [] | [
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79b8531b7a31a3298364c24235c381783d55d7d5 |
# CADAnnotator Dataset
Welcome to the CADAnnotator Dataset! This collection comprises STEP file models with comprehensive semantic annotations. The annotations were meticulously added using a tool developed as part of my final undergraduate project, which contributed to fulfilling the requirements for my first gradua... | PedroCorcaque/CADAnnotatorDataset | [
"size_categories:n<1K",
"region:us"
] | 2024-01-01T14:05:36+00:00 | {"size_categories": ["n<1K"]} | 2024-01-01T14:18:31+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
|
# CADAnnotator Dataset
Welcome to the CADAnnotator Dataset! This collection comprises STEP file models with comprehensive semantic annotations. The annotations were meticulously added using a tool developed as part of my final undergraduate project, which contributed to fulfilling the requirements for my first gradua... | [
"# CADAnnotator Dataset\n\nWelcome to the CADAnnotator Dataset! This collection comprises STEP file models with comprehensive semantic annotations. The annotations were meticulously added using a tool developed as part of my final undergraduate project, which contributed to fulfilling the requirements for my first ... | [
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8c5b5b33e8bfbfdfe0d6e9df5597037032f60765 |
# 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).
## ... | louisbertson/mos_fr_dataset | [
"size_categories:10K<n<100K",
"language:fr",
"license:mit",
"mossi",
"moore",
"Burkina Faso",
"region:us"
] | 2024-01-01T14:12:08+00:00 | {"language": ["fr"], "license": "mit", "size_categories": ["10K<n<100K"], "pretty_name": "Mos to Fr", "tags": ["mossi", "moore", "Burkina Faso"]} | 2024-01-02T23:57:00+00:00 | [] | [
"fr"
] | TAGS
#size_categories-10K<n<100K #language-French #license-mit #mossi #moore #Burkina Faso #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.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
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- License:
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0f4879c4492ca1de83c01b8e82f994d20e875fd7 | [GPT Teacher](https://github.com/teknium1/GPTeacher/blob/main/Instruct/gpt4-instruct-dedupe-only-dataset.json) dataset translated to Kannada | Tensoic/gpt-teacher_kn | [
"task_categories:text-generation",
"language:kn",
"license:apache-2.0",
"region:us"
] | 2024-01-01T15:06:04+00:00 | {"language": ["kn"], "license": "apache-2.0", "task_categories": ["text-generation"]} | 2024-01-11T14:14:24+00:00 | [] | [
"kn"
] | TAGS
#task_categories-text-generation #language-Kannada #license-apache-2.0 #region-us
| GPT Teacher dataset translated to Kannada | [] | [
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ff849e991b53397e4a062cb707027635779091cb |
I created this dataset using [sqlglot](https://github.com/tobymao/sqlglot) to auto-convert the Spider and Wikisql datasets to Presto syntax, along with running some regex's for additional cleanup.
An example use case is fine-tuning an existing model to respond with Presto/Athena text-to-sql, if it performs well at st... | cnatale/presto-athena-txt-2-sql | [
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"text-to-sql",
"text to sql",
"region:us"
] | 2024-01-01T15:35:23+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "pretty_name": "Presto/Athena Text to SQL Dataset", "tags": ["text-to-sql", "text to sql"]} | 2024-01-03T22:23:12+00:00 | [] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-apache-2.0 #text-to-sql #text to sql #region-us
|
I created this dataset using sqlglot to auto-convert the Spider and Wikisql datasets to Presto syntax, along with running some regex's for additional cleanup.
An example use case is fine-tuning an existing model to respond with Presto/Athena text-to-sql, if it performs well at standard SQL syntax used by the major te... | [] | [
"TAGS\n#size_categories-1K<n<10K #language-English #license-apache-2.0 #text-to-sql #text to sql #region-us \n"
] | [
42
] | [
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c3ba5a570c96a645084d8f8e0bf50cb1c5d6ac91 | # Dataset Card for "matematico"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/teoremi-e-dimostrazioni | [
"region:us"
] | 2024-01-01T17:33:03+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 74893357, "num_examples": 27075}], "download_size": 32615807, "dataset_size": 74893357}, "configs": [{"config_name": "default", ... | 2024-01-04T12:29:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "matematico"
More Information needed | [
"# Dataset Card for \"matematico\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"matematico\"\n\nMore Information needed"
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65a5e6a83e7aa1d42b929e30f37c2c4f7a255e68 | # Dataset Card for "kitabucorpus"
[Bookcorpus](https://huggingface.co/datasets/bookcorpus) in Swahili | mwitiderrick/kitabucorpus | [
"task_categories:text-generation",
"language:sw",
"license:apache-2.0",
"region:us"
] | 2024-01-01T18:03:36+00:00 | {"language": ["sw"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "Kitabu Corpus", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2257692, "num_examples": 32191}], "download_size": 0, "dataset_size": 2257692}} | 2024-01-03T12:23:42+00:00 | [] | [
"sw"
] | TAGS
#task_categories-text-generation #language-Swahili (macrolanguage) #license-apache-2.0 #region-us
| # Dataset Card for "kitabucorpus"
Bookcorpus in Swahili | [
"# Dataset Card for \"kitabucorpus\"\n\nBookcorpus in Swahili"
] | [
"TAGS\n#task_categories-text-generation #language-Swahili (macrolanguage) #license-apache-2.0 #region-us \n",
"# Dataset Card for \"kitabucorpus\"\n\nBookcorpus in Swahili"
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"passage: TAGS\n#task_categories-text-generation #language-Swahili (macrolanguage) #license-apache-2.0 #region-us \n# Dataset Card for \"kitabucorpus\"\n\nBookcorpus in Swahili"
] |
747b9c487a93976a503e62de686b49c2a055cd04 |
# The Movies Dataset With Embeddings
This is a movies dataset with over 45,000 movies and 26 million ratings from over 270,000 users.
The original data was taken from [Kaggle](https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset) and updated in the following way:
* The `movie_shema.sql` file with a SQL sch... | denismagda/movies | [
"license:cc0-1.0",
"region:us"
] | 2024-01-01T18:15:33+00:00 | {"license": "cc0-1.0"} | 2024-01-09T22:08:46+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# The Movies Dataset With Embeddings
This is a movies dataset with over 45,000 movies and 26 million ratings from over 270,000 users.
The original data was taken from Kaggle and updated in the following way:
* The 'movie_shema.sql' file with a SQL schema was generated from the original data.
* The 'overview_vector' ... | [
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5b10c55b354b9ce6ff46b92a08e992236247925f | 对 https://huggingface.co/datasets/wangrui6/Zhihu-KOL 数据进行了初步整理，保留了100赞及以上的数据。
共271261条。 | bzb2023/Zhihu-KOL-More-Than-100-Upvotes | [
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2024-01-01T18:27:50+00:00 | {"language": ["zh"], "license": "apache-2.0", "task_categories": ["text-generation"]} | 2024-01-01T18:35:01+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #language-Chinese #license-apache-2.0 #region-us
| 对 URL 数据进行了初步整理，保留了100赞及以上的数据。
共271261条。 | [] | [
"TAGS\n#task_categories-text-generation #language-Chinese #license-apache-2.0 #region-us \n"
] | [
30
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"passage: TAGS\n#task_categories-text-generation #language-Chinese #license-apache-2.0 #region-us \n"
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f1efe996adbfb9e476dd48741feb0455b79965ec |
# Dataset Card for "ERRnews"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | TalTechNLP/LongSumEt | [
"task_categories:summarization",
"annotations_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:et",
"license:cc-by-4.0",
"region:us"
] | 2024-01-01T18:38:04+00:00 | {"annotations_creators": ["machine-generated"], "language": ["et"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["summarization"], "pretty_name": "LongSumEt", "dataset_info": {"features": [{"name": "text", "dtype": "str... | 2024-01-13T19:29:48+00:00 | [] | [
"et"
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#task_categories-summarization #annotations_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Estonian #license-cc-by-4.0 #region-us
| Dataset Card for "ERRnews"
==========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotatio... | [
"### Dataset Summary\n\n\nLongSumEt is an estonian language long summarization dataset with pages filtered from CulturaX dataset. The dataset consists of the page text, and machine generated short summary, long summary and bulletpoints.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nEstonian\n\n\... | [
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c00979375e88660d4c0b51efdb523a0da9239049 | This dataset contains the cocitation abstracts related to COPD in the paper [Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings](arxiv.org/abs/2401.15713)
| lhallee/abstract_domain_copd | [
"arxiv:2401.15713",
"region:us"
] | 2024-01-01T20:51:18+00:00 | {"dataset_info": {"features": [{"name": "a", "dtype": "string"}, {"name": "b", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 477301584, "num_examples": 132453}, {"name": "valid", "num_bytes": 9596971, "num_examples": 2676}, {"name": "test", "num_bytes": 4758204, "nu... | 2024-01-30T02:53:58+00:00 | [
"2401.15713"
] | [] | TAGS
#arxiv-2401.15713 #region-us
| This dataset contains the cocitation abstracts related to COPD in the paper Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings
| [] | [
"TAGS\n#arxiv-2401.15713 #region-us \n"
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d23baf2ab279683ab6bd8fdd779cf17cde926847 |
## Description
I explore the past so you don't have too!
## Prompt
A channel run by an influencer and videoblogger called Jess.
She often do weird challenges like "saying yes to everyone", "walking to corss the united states", "walk in new york dressed as a chicken" to get millions of views and likes.
She also so... | MichaelBoll/ai-tube-hug | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2024-01-01T20:54:04+00:00 | {"license": "cc-by-nc-sa-4.0", "pretty_name": "Michael Bollox"} | 2024-01-24T18:16:49+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
## Description
I explore the past so you don't have too!
## Prompt
A channel run by an influencer and videoblogger called Jess.
She often do weird challenges like "saying yes to everyone", "walking to corss the united states", "walk in new york dressed as a chicken" to get millions of views and likes.
She also so... | [
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ea6300ba9a210a199949e52eaecb85cff99b3f60 |
This dataset contains the cocitation abstracts related to CVD in the paper [Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings](arxiv.org/abs/2401.15713)
| lhallee/abstract_domain_cvd | [
"arxiv:2401.15713",
"region:us"
] | 2024-01-01T21:00:39+00:00 | {"dataset_info": {"features": [{"name": "a", "dtype": "string"}, {"name": "b", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 685896937, "num_examples": 181000}, {"name": "valid", "num_bytes": 17346151, "num_examples": 4584}, {"name": "test", "num_bytes": 2872780, "n... | 2024-01-30T02:52:16+00:00 | [
"2401.15713"
] | [] | TAGS
#arxiv-2401.15713 #region-us
|
This dataset contains the cocitation abstracts related to CVD in the paper Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings
| [] | [
"TAGS\n#arxiv-2401.15713 #region-us \n"
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15
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84ab8e7cb679217861725896ee73ab73e8589cd4 | # Dataset Card for "test_startup_advice_10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | salma-remyx/test_startup_advice_10k | [
"region:us"
] | 2024-01-01T21:08:57+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10808411, "num_examples": 10000}], "download_size": 6314588, "dataset_size": 10808411}} | 2024-01-01T21:09:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_startup_advice_10k"
More Information needed | [
"# Dataset Card for \"test_startup_advice_10k\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"test_startup_advice_10k\"\n\nMore Information needed"
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44f4536ad52df672c054393a76c0649a7692f501 |
# Tatoeba Turkish-English 2024
tatoeba.org Turkish-English pairs.
Last Update: 01.01.2024 | beratcmn/tatoeba-tr-en | [
"task_categories:translation",
"size_categories:100K<n<1M",
"language:tr",
"language:en",
"license:cc-by-2.0",
"translation",
"turkish",
"english",
"tatoeba",
"region:us"
] | 2024-01-01T21:48:52+00:00 | {"language": ["tr", "en"], "license": "cc-by-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["translation"], "pretty_name": "Tatoeba Turkish-English 2024", "tags": ["translation", "turkish", "english", "tatoeba"]} | 2024-01-01T21:53:42+00:00 | [] | [
"tr",
"en"
] | TAGS
#task_categories-translation #size_categories-100K<n<1M #language-Turkish #language-English #license-cc-by-2.0 #translation #turkish #english #tatoeba #region-us
|
# Tatoeba Turkish-English 2024
URL Turkish-English pairs.
Last Update: 01.01.2024 | [
"# Tatoeba Turkish-English 2024\n\nURL Turkish-English pairs. \n\nLast Update: 01.01.2024"
] | [
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"# Tatoeba Turkish-English 2024\n\nURL Turkish-English pairs. \n\nLast Update: 01.01.2024"
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] |
61420906f05c1cc3756d1206d097ef2dc342df39 | SergioSCA/StageVision_v3 | [
"task_categories:object-detection",
"size_categories:n<1K",
"language:es",
"license:apache-2.0",
"region:us"
] | 2024-01-01T22:10:07+00:00 | {"language": ["es"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["object-detection"], "pretty_name": "StageVision v3"} | 2024-01-07T10:36:16+00:00 | [] | [
"es"
] | TAGS
#task_categories-object-detection #size_categories-n<1K #language-Spanish #license-apache-2.0 #region-us
| [] | [
"TAGS\n#task_categories-object-detection #size_categories-n<1K #language-Spanish #license-apache-2.0 #region-us \n"
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703e98fefd5df06d2b9896878907231c7db865db |
This is a reformatted version of https://huggingface.co/datasets/LDJnr/Capybara - formatted in ShareGPT style for easier consumption by Axolotl for model training. | ssmi153/Capybara-ShareGPT | [
"license:apache-2.0",
"region:us"
] | 2024-01-01T22:20:29+00:00 | {"license": "apache-2.0"} | 2024-01-02T05:52:56+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This is a reformatted version of URL - formatted in ShareGPT style for easier consumption by Axolotl for model training. | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
334eaefead516335930922d618205850a766adb4 |
# Speaker embeddings extracted from CMU ARCTIC
There is one `.npy` file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors.
The [CMU ARCTIC](http://www.festvox.org/cmu_arctic/) dataset divides the utterances among the following speakers:
- bdl (US male)
- slt (U... | Dupaja/cmu-arctic-xvectors | [
"task_categories:text-to-speech",
"task_categories:audio-to-audio",
"license:mit",
"region:us"
] | 2024-01-01T23:54:00+00:00 | {"license": "mit", "task_categories": ["text-to-speech", "audio-to-audio"], "pretty_name": "CMU ARCTIC X-Vectors"} | 2024-01-01T23:54:00+00:00 | [] | [] | TAGS
#task_categories-text-to-speech #task_categories-audio-to-audio #license-mit #region-us
|
# Speaker embeddings extracted from CMU ARCTIC
There is one '.npy' file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors.
The CMU ARCTIC dataset divides the utterances among the following speakers:
- bdl (US male)
- slt (US female)
- jmk (Canadian male)
- awb ... | [
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400751de860bb2f901da9c661c6cae1f5523bfe4 | # Weblate Translations
Amazigh subset of [Weblate Translations](https://huggingface.co/datasets/ayymen/Weblate-Translations). | Tamazight-NLP/Weblate-Translations | [
"task_categories:translation",
"task_categories:text2text-generation",
"annotations_creators:crowdsourced",
"size_categories:10K<n<100K",
"language:ber",
"language:zgh",
"language:kab",
"language:tzm",
"language:en",
"region:us"
] | 2024-01-02T01:01:43+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["ber", "zgh", "kab", "tzm", "en"], "size_categories": ["10K<n<100K"], "task_categories": ["translation", "text2text-generation"], "pretty_name": "Weblate Translations", "configs": [{"config_name": "en_GB-tzm", "data_files": "en_GB-tzm.tsv"}, {"config_name": "en-be... | 2024-01-13T14:23:38+00:00 | [] | [
"ber",
"zgh",
"kab",
"tzm",
"en"
] | TAGS
#task_categories-translation #task_categories-text2text-generation #annotations_creators-crowdsourced #size_categories-10K<n<100K #language-ber #language-Standard Moroccan Tamazight #language-Kabyle #language-Central Atlas Tamazight #language-English #region-us
| # Weblate Translations
Amazigh subset of Weblate Translations. | [
"# Weblate Translations\nAmazigh subset of Weblate Translations."
] | [
"TAGS\n#task_categories-translation #task_categories-text2text-generation #annotations_creators-crowdsourced #size_categories-10K<n<100K #language-ber #language-Standard Moroccan Tamazight #language-Kabyle #language-Central Atlas Tamazight #language-English #region-us \n",
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2cf771fe4450e52c8fbe8f87c9f7ef20f3189de6 | # Dataset Card for "no_robots"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jovianzm/no_robots | [
"task_categories:conversational",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | 2024-01-02T01:32:46+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K", "1K<n<10K"], "task_categories": ["conversational", "question-answering"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [... | 2024-01-02T01:51:46+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-question-answering #size_categories-10K<n<100K #size_categories-1K<n<10K #language-English #license-mit #region-us
| # Dataset Card for "no_robots"
More Information needed | [
"# Dataset Card for \"no_robots\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-conversational #task_categories-question-answering #size_categories-10K<n<100K #size_categories-1K<n<10K #language-English #license-mit #region-us \n",
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] |
d7d16f1018d7b5e8455e96992c31a94fbcc76794 | # Dataset Card for "ISABELLA-COTIER-ART"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | iamkaikai/ISABELLA-COTIER-ART | [
"region:us"
] | 2024-01-02T01:47:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14682800.0, "num_examples": 273}], "download_size": 14659067, "dataset_size": 14682800.0}} | 2024-01-02T04:53:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ISABELLA-COTIER-ART"
More Information needed | [
"# Dataset Card for \"ISABELLA-COTIER-ART\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ISABELLA-COTIER-ART\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ISABELLA-COTIER-ART\"\n\nMore Information needed"
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99b69c4ee8980143eb62c77e3159673f14290569 | # HSS Shakha Khel Dataset
## Overview
The HSS Shakha Khel dataset is specifically tailored for training the LLAMA 2 7B model. This dataset is in the alpaca format, ensuring compatibility and efficiency for machine learning purposes.
## Source
This dataset has been meticulously created by extracting information from t... | Suru/HSS-shakha-khel | [
"region:us"
] | 2024-01-02T02:08:19+00:00 | {} | 2024-01-02T03:42:40+00:00 | [] | [] | TAGS
#region-us
| # HSS Shakha Khel Dataset
## Overview
The HSS Shakha Khel dataset is specifically tailored for training the LLAMA 2 7B model. This dataset is in the alpaca format, ensuring compatibility and efficiency for machine learning purposes.
## Source
This dataset has been meticulously created by extracting information from t... | [
"# HSS Shakha Khel Dataset",
"## Overview\nThe HSS Shakha Khel dataset is specifically tailored for training the LLAMA 2 7B model. This dataset is in the alpaca format, ensuring compatibility and efficiency for machine learning purposes.",
"## Source\nThis dataset has been meticulously created by extracting inf... | [
"TAGS\n#region-us \n",
"# HSS Shakha Khel Dataset",
"## Overview\nThe HSS Shakha Khel dataset is specifically tailored for training the LLAMA 2 7B model. This dataset is in the alpaca format, ensuring compatibility and efficiency for machine learning purposes.",
"## Source\nThis dataset has been meticulously ... | [
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5380187a0d53680ae433b5dfa8a8fe760cc56576 | # Dataset Card for "discorsi-vari"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/discorsi-vari | [
"region:us"
] | 2024-01-02T02:18:44+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 63794757.0, "num_examples": 8125}], "download_size": 29458789, "dataset_size": 63794757.0}, "configs": [{"config_name": "default", "data_... | 2024-01-02T02:19:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "discorsi-vari"
More Information needed | [
"# Dataset Card for \"discorsi-vari\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"discorsi-vari\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"discorsi-vari\"\n\nMore Information needed"
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f37104c7af4e162349f35eb3e19d3e8f4debde0e |
# DevSpecCode
Synthetic Code Dataset with instructions requiring multiple complex requirements, limitations, and instructions.
### Example Instruction
```
Please create a small function in Go that meets the following requirements:
1. Write a Go function named `parallelSum` that accepts a slice of integers and ret... | cfahlgren1/DevSpecCode | [
"license:mit",
"region:us"
] | 2024-01-02T02:48:14+00:00 | {"license": "mit"} | 2024-01-02T02:56:12+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# DevSpecCode
Synthetic Code Dataset with instructions requiring multiple complex requirements, limitations, and instructions.
### Example Instruction
### Languages
- Python (*majority*)
- JavaScript
- Java
- C#
- C++
- Ruby
- Go
- TypeScript
| [
"# DevSpecCode\n\nSynthetic Code Dataset with instructions requiring multiple complex requirements, limitations, and instructions.",
"### Example Instruction",
"### Languages\n\n- Python (*majority*)\n- JavaScript\n- Java\n- C#\n- C++\n- Ruby\n- Go\n- TypeScript"
] | [
"TAGS\n#license-mit #region-us \n",
"# DevSpecCode\n\nSynthetic Code Dataset with instructions requiring multiple complex requirements, limitations, and instructions.",
"### Example Instruction",
"### Languages\n\n- Python (*majority*)\n- JavaScript\n- Java\n- C#\n- C++\n- Ruby\n- Go\n- TypeScript"
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"passage: TAGS\n#license-mit #region-us \n# DevSpecCode\n\nSynthetic Code Dataset with instructions requiring multiple complex requirements, limitations, and instructions.### Example Instruction### Languages\n\n- Python (*majority*)\n- JavaScript\n- Java\n- C#\n- C++\n- Ruby\n- Go\n- TypeScript"
] |
5e9aa029e84a3fa94498dd55bb711d2b4306a117 | As per [the community's request](https://huggingface.co/datasets/CausalLM/GPT-4-Self-Instruct-German/discussions/1), here we share a Turkish dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated... | CausalLM/GPT-4-Self-Instruct-Turkish | [
"language:tr",
"license:cc-by-4.0",
"gpt4",
"region:us"
] | 2024-01-02T02:57:33+00:00 | {"language": ["tr"], "license": "cc-by-4.0", "tags": ["gpt4"]} | 2024-01-02T15:21:43+00:00 | [] | [
"tr"
] | TAGS
#language-Turkish #license-cc-by-4.0 #gpt4 #region-us
| As per the community's request, here we share a Turkish dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semanti... | [] | [
"TAGS\n#language-Turkish #license-cc-by-4.0 #gpt4 #region-us \n"
] | [
25
] | [
"passage: TAGS\n#language-Turkish #license-cc-by-4.0 #gpt4 #region-us \n"
] |
ff13babe333076ac8014bd70f3c99282ddc4bea1 |
# Dataset Card for primer_demo_ejemplo_ds_semantic
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset description](#dataset-description)
- [Dataset categories](#dataset-categories)
## Dataset description
- **Homepage:** https://huggingface.co/datasets/Lit4pCol4b/primer_demo_ejemplo_ds_semanti... | Lit4pCol4b/demo_ds_hf_hub_segformer_fine_tuned_ADE20k_format_rgb_crudo_oi_IS_v1 | [
"task_categories:image-segmentation",
"region:us"
] | 2024-01-02T03:02:24+00:00 | {"task_categories": ["image-segmentation"]} | 2024-01-04T01:29:37+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #region-us
| Dataset Card for primer\_demo\_ejemplo\_ds\_semantic
====================================================
Table of Contents
-----------------
* Table of Contents
* Dataset description
* Dataset categories
Dataset description
-------------------
* Homepage: URL
Dataset categories
------------------
Id: 1, Na... | [] | [
"TAGS\n#task_categories-image-segmentation #region-us \n"
] | [
18
] | [
"passage: TAGS\n#task_categories-image-segmentation #region-us \n"
] |
e41de23cf91606016d96876a4a594991f36be251 |
This dataset has been modified from the microsoft/LCC_csharp dataset to provide CodeLLaMa with infilling tasks as per the original fill-in-the-middle paper, were the text that needs to be filled in is moved to the end of the dataset, thus taking advantage of the Generative feature of GPT-style models. | fasterinnerlooper/lcc_csharp | [
"task_categories:mask-generation",
"task_categories:fill-mask",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"code",
"region:us"
] | 2024-01-02T03:25:30+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["mask-generation", "fill-mask", "text-generation"], "pretty_name": "LCC_csharp dataset modified for infilling", "dataset_info": {"features": [{"name": "prefix", "dtype": "string"}, {"name": "suffix", "dtype": "string"}, {"name"... | 2024-01-21T22:10:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-mask-generation #task_categories-fill-mask #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-mit #code #region-us
|
This dataset has been modified from the microsoft/LCC_csharp dataset to provide CodeLLaMa with infilling tasks as per the original fill-in-the-middle paper, were the text that needs to be filled in is moved to the end of the dataset, thus taking advantage of the Generative feature of GPT-style models. | [] | [
"TAGS\n#task_categories-mask-generation #task_categories-fill-mask #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-mit #code #region-us \n"
] | [
63
] | [
"passage: TAGS\n#task_categories-mask-generation #task_categories-fill-mask #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-mit #code #region-us \n"
] |
635d84a12a01f7efb985bb820ffa7386ae8e8d14 | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1704166566 | [
"region:us"
] | 2024-01-02T03:36:19+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2024-01-02T03:36:38+00:00 | [] | [] | TAGS
#region-us
| # TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from URL
These columns are taken directly from the aforementioned dataset:
* id: unique identifier for the post
* subreddit: subreddit the post was taken from
* title: title of the post
* post: body of the post
* summary: sum... | [
"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n* post: body of the post\... | [
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"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n... | [
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04922dd7bb97e48739f4dd0d835db86acfe28783 | # Dataset Card for "summarize_from_feedback_oai_preprocessing_1704166566"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_oai_preprocessing_1704166566 | [
"region:us"
] | 2024-01-02T03:36:57+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2024-01-02T03:37:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_1704166566"
More Information needed | [
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_1704166566\"\n\nMore Information needed"
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"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_1704166566\"\n\nMore Information needed"
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29d4055957b3f871b5e93bce3ee35179ce10068f | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1704169778 | [
"region:us"
] | 2024-01-02T04:29:50+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2024-01-02T04:30:11+00:00 | [] | [] | TAGS
#region-us
| # TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from URL
These columns are taken directly from the aforementioned dataset:
* id: unique identifier for the post
* subreddit: subreddit the post was taken from
* title: title of the post
* post: body of the post
* summary: sum... | [
"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n* post: body of the post\... | [
"TAGS\n#region-us \n",
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50176c0164ac8850f27cad9f3aabe93cf9558c0d | # Dataset Card for "summarize_from_feedback_oai_preprocessing_1704169778"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_oai_preprocessing_1704169778 | [
"region:us"
] | 2024-01-02T04:30:29+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2024-01-02T04:31:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_1704169778"
More Information needed | [
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_1704169778\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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6c452950abf9dcc461bc9510dd2bf6e69b6495d2 |
This is a converted dataset for https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2 that allows sft in https://github.com/hiyouga/LLaMA-Factory for function calling fine tuning.
You need to add the following to the datasets.json file, and changed the `file_name` to your local path.
```
"glaive-fu... | Yhyu13/glaive-function-calling-v2-llama-factory-convert | [
"license:apache-2.0",
"region:us"
] | 2024-01-02T05:12:48+00:00 | {"license": "apache-2.0"} | 2024-01-21T07:00:47+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This is a converted dataset for URL that allows sft in URL for function calling fine tuning.
You need to add the following to the URL file, and changed the 'file_name' to your local path.
There is also a 'simple-function-calling-v2_converted.json' that trimmed to the first 1,000 samples in the originial datase... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
a7cd0ad4e8e05bd7f705c18b80df393bbba456c4 | ## This is the Official Capybara dataset. Over 10,000 multi-turn examples.
Capybara is the culmination of insights derived from synthesis techniques like Evol-instruct (used for WizardLM), Alpaca, Orca, Vicuna, Lamini, FLASK and others.
The single-turn seeds used to intiate the Amplify-Instruct synthesis of conversati... | cfahlgren1/Capybara-Converted | [
"task_categories:conversational",
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"Physics",
"Biology",
"Math",
"Chemistry",
"Culture",
"Logic",
"Roleplay",
"region:us"
] | 2024-01-02T07:15:16+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["conversational", "question-answering", "text-generation"], "pretty_name": "LessWrong-Amplify-Instruct", "tags": ["Physics", "Biology", "Math", "Chemistry", "Culture", "Logic", "Roleplay"]} | 2024-01-02T07:23:08+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #Physics #Biology #Math #Chemistry #Culture #Logic #Roleplay #region-us
| ## This is the Official Capybara dataset. Over 10,000 multi-turn examples.
Capybara is the culmination of insights derived from synthesis techniques like Evol-instruct (used for WizardLM), Alpaca, Orca, Vicuna, Lamini, FLASK and others.
The single-turn seeds used to intiate the Amplify-Instruct synthesis of conversati... | [
"## This is the Official Capybara dataset. Over 10,000 multi-turn examples.\n\nCapybara is the culmination of insights derived from synthesis techniques like Evol-instruct (used for WizardLM), Alpaca, Orca, Vicuna, Lamini, FLASK and others.\nThe single-turn seeds used to intiate the Amplify-Instruct synthesis of co... | [
"TAGS\n#task_categories-conversational #task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #Physics #Biology #Math #Chemistry #Culture #Logic #Roleplay #region-us \n",
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"passage: ## This is the Official Capybara dataset. Ov... |
3d9220bd0e965c4768cca2627f69311c9f5dd551 | This dataset is a subset of the Open Assistant dataset, which you can find here: https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main
This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples.
This dataset was used to train Guanaco with QLoRA.
For... | thiennguyen1998/assistant-guanaco | [
"region:us"
] | 2024-01-02T08:07:56+00:00 | {} | 2024-01-03T04:58:00+00:00 | [] | [] | TAGS
#region-us
| This dataset is a subset of the Open Assistant dataset, which you can find here: URL
This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples.
This dataset was used to train Guanaco with QLoRA.
For further information, please see the original dataset.
Lic... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f76a43553cc575a8ee85570797b0584693eb3f6c |
This dataset was derived from GAIR/lima,
It is a translated version from the original dataset.
(Translated language: Kannada) | jayavibhav/LIMA-Kannada | [
"region:us"
] | 2024-01-02T08:20:11+00:00 | {} | 2024-01-02T08:26:58+00:00 | [] | [] | TAGS
#region-us
|
This dataset was derived from GAIR/lima,
It is a translated version from the original dataset.
(Translated language: Kannada) | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
edf92a505b0f6afaa4c435dd96072c0bd6a16b37 |
# OpenAssistant TOP-1 Conversation Threads in huggingface chat format
Export of [oasst2](https://huggingface.co/datasets/OpenAssistant/oasst2) only top 1 threads in [huggingface chat format](https://huggingface.co/docs/transformers/chat_templating)
# Script
The convert script can be find [here](https://github.com/b... | blancsw/oasst2_top1_chat_format | [
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:en",
"language:es",
"language:ru",
"language:de",
"language:pl",
"language:th",
"language:vi",
"language:sv",
"language:bn",
"language:da",
"language:he",
"language:it",
"language:fa",
"language:sk",
"language:i... | 2024-01-02T08:48:25+00:00 | {"language": ["en", "es", "ru", "de", "pl", "th", "vi", "sv", "bn", "da", "he", "it", "fa", "sk", "id", "nb", "el", "nl", "hu", "eu", "zh", "eo", "ja", "ca", "cs", "bg", "fi", "pt", "tr", "ro", "ar", "uk", "gl", "fr", "ko"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["conversational"... | 2024-01-23T09:36:49+00:00 | [] | [
"en",
"es",
"ru",
"de",
"pl",
"th",
"vi",
"sv",
"bn",
"da",
"he",
"it",
"fa",
"sk",
"id",
"nb",
"el",
"nl",
"hu",
"eu",
"zh",
"eo",
"ja",
"ca",
"cs",
"bg",
"fi",
"pt",
"tr",
"ro",
"ar",
"uk",
"gl",
"fr",
"ko"
] | TAGS
#task_categories-conversational #size_categories-100K<n<1M #language-English #language-Spanish #language-Russian #language-German #language-Polish #language-Thai #language-Vietnamese #language-Swedish #language-Bengali #language-Danish #language-Hebrew #language-Italian #language-Persian #language-Slovak #language... |
# OpenAssistant TOP-1 Conversation Threads in huggingface chat format
Export of oasst2 only top 1 threads in huggingface chat format
# Script
The convert script can be find here | [
"# OpenAssistant TOP-1 Conversation Threads in huggingface chat format\n\nExport of oasst2 only top 1 threads in huggingface chat format",
"# Script\n\nThe convert script can be find here"
] | [
"TAGS\n#task_categories-conversational #size_categories-100K<n<1M #language-English #language-Spanish #language-Russian #language-German #language-Polish #language-Thai #language-Vietnamese #language-Swedish #language-Bengali #language-Danish #language-Hebrew #language-Italian #language-Persian #language-Slovak #la... | [
239,
35,
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02c97d1f6308f52b8f528c532079823ab7292f03 | # Dataset Card for "ThangaTharun"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ThangaTharun/ThangaTharun | [
"region:us"
] | 2024-01-02T08:55:00+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "audio"}}}}], "splits": [{"name": "train", "num_bytes": 504559.0, "num_examples": 5}], "download_size": 0, "dataset_size": 504559.0}} | 2024-01-02T09:05:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ThangaTharun"
More Information needed | [
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03aacdb97e6392997183450c1846516f9b41ab8e | <div class="card-layout-item" data-background="{}" data-pm-slice="2 2 ["document",{"docId":"utelmcg25ai30qz","background":{"type":"none"},"docFlags":{"cardLayoutsEnabled":true},"format":null,"customCode":{},"setting... | ocutaminofficial/ocutamin | [
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b02c8c5ca57f49521fbda3916a51cd2d2b1b5807 | # 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).
## D... | ugursa/Yahoo-Finance-News-Sentences | [
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This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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214a175f65945249afffd982281aa82e79a943d0 | extracted and reformatted for LLama 2 from [SALT-NLP/FLUE-FiQA](https://huggingface.co/datasets/SALT-NLP/FLUE-FiQA) for easier use | sherelyn912/fiqa | [
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"region:us"
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#doi-10.57967/hf/1703 #region-us
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f3f521c6edc479ab8b20d77591efeffcfd45ef1c |
# MS MARCO dummy+test dataset
Used for testing [nixietune](https://github.com/nixiesearch/nixietune): a dummy dataset of random 1000 queries from MS MARCO. The format is the following:
```json
{
"query": ")what was the immediate impact of the success of the manhattan project?",
"positive": [
"The presence ... | nixiesearch/ms-marco-dummy | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"source_datasets:MSMARCO",
"language:en",
"license:apache-2.0",
"text",
"region:us"
] | 2024-01-02T10:00:07+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": ["MSMARCO"], "task_categories": ["sentence-similarity"], "pretty_name": "MS MARCO dummy dataset", "tags": ["text"], "dataset_info": {"config_name": "default", "features": [{"name": "query", "dtype": "string"}, {"name": "p... | 2024-01-02T10:04:32+00:00 | [] | [
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#task_categories-sentence-similarity #size_categories-100K<n<1M #source_datasets-MSMARCO #language-English #license-apache-2.0 #text #region-us
|
# MS MARCO dummy+test dataset
Used for testing nixietune: a dummy dataset of random 1000 queries from MS MARCO. The format is the following:
## Usage
## License
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3f6f073a501338a23e9a3e089cf8317ca28f18cc |
# Dataset Card for Dataset Name
This dataset is a culmination of diverse sources, carefully curated with the intention of constructing a versatile and comprehensive dataset. We have amalgamated high-quality text from various datasets to form this unified dataset, designed to serve as a valuable and multifaceted resou... | CrabfishAI/InstructQA-Highquality-16k | [
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"size_categories:10K<n<100K",
"language:en",
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"en"
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# Dataset Card for Dataset Name
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a00608b63480624608a85d37cfbe7a4fed909fa7 | # Dataset Card for "autotrain-data-fertilizer-pair-classify"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | matthewfarant/autotrain-data-fertilizer-pair-classify | [
"region:us"
] | 2024-01-02T10:23:28+00:00 | {"dataset_info": {"features": [{"name": "autotrain_text", "dtype": "string"}, {"name": "autotrain_label", "dtype": {"class_label": {"names": {"0": 0, "1": 1}}}}], "splits": [{"name": "train", "num_bytes": 807, "num_examples": 12}, {"name": "validation", "num_bytes": 199, "num_examples": 3}], "download_size": 3898, "dat... | 2024-01-02T10:23:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-fertilizer-pair-classify"
More Information needed | [
"# Dataset Card for \"autotrain-data-fertilizer-pair-classify\"\n\nMore Information needed"
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348a19a1208bf5be42dc48ac2b3fd063d4f9b00f | # Official YOLOv7
Implementation of paper - [YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors](https://arxiv.org/abs/2207.02696)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/yolov7-trainable-bag-of-freebies-sets-new/real-time-object-detecti... | nachiiiket/autofish | [
"arxiv:2207.02696",
"region:us"
] | 2024-01-02T10:51:09+00:00 | {} | 2024-01-02T10:52:52+00:00 | [
"2207.02696"
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#arxiv-2207.02696 #region-us
| Official YOLOv7
===============
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
![PWC](URL
![Hugging Face Spaces](URL
<a href="URL src="URL alt="Open In Colab">
](./)
Web Demo
--------
* Integrated into Huggingfa... | [] | [
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68215e40e48810ded509c6334b28d097ed647258 |
# 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).
## ... | ThangaTharun/SecondDataset | [
"region:us"
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# Dataset Card for Dataset Name
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5bbe260db99068dcd0a5f20f758d887697bd6304 |
# Dataset Card for itu_annotated_dataset
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load... | vishnuramov/itu_annotated_dataset | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
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#size_categories-n<1K #rlfh #argilla #human-feedback #region-us
| Dataset Card for itu\_annotated\_dataset
========================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dataset Des... | [
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d555af1e7ef22310f14dcd536707c9be422fa769 | # Dataset Card for "e5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Minglii/e5 | [
"region:us"
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#region-us
| # Dataset Card for "e5"
More Information needed | [
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23ab581de8142c5bb83a6a6685a86241d73fa4c8 | # Dataset Card for "e10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Minglii/e10 | [
"region:us"
] | 2024-01-02T11:17:16+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "id", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 3496846, "num_examples": 5200}], "download_size": 2006397, "dataset_s... | 2024-01-02T11:20:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "e10"
More Information needed | [
"# Dataset Card for \"e10\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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7f624c4f3cc76a03a81dda32f245f837b39869e5 | # Dataset Card for "e15"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Minglii/e15 | [
"region:us"
] | 2024-01-02T11:17:30+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "id", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 5112113, "num_examples": 7800}], "download_size": 2914272, "dataset_s... | 2024-01-02T11:20:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "e15"
More Information needed | [
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2d3a47af7cbfa6db4868f657ebd72edd1a447672 | # Dataset Card for "aug_train1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_1 | [
"region:us"
] | 2024-01-02T13:31:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}],... | 2024-01-02T13:31:40+00:00 | [] | [] | TAGS
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| # Dataset Card for "aug_train1"
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961888726137e06f43ae0d1dbd33ed187362e09f |
# Dataset Card for Spoken-SQuAD
## Dataset Description
- **Repository:** [https://github.com/chiahsuan156/Spoken-SQuAD](https://github.com/chiahsuan156/Spoken-SQuAD)
- **Paper:** [https://arxiv.org/abs/1804.00320](https://arxiv.org/abs/1804.00320)
## Citation
```bibtex
@article{lee2018spoken,
title={Spoken SQu... | alinet/spoken_squad | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:unknown",
"arxiv:1804.00320",
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] | 2024-01-02T13:43:11+00:00 | {"language": ["en"], "license": "unknown", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "pretty_name": "Spoken-SQuAD", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "train.json"}, {"split": "validation", "path": "test.json"}]}, {"config_name": "WER44",... | 2024-01-23T16:54:56+00:00 | [
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"en"
] | TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-unknown #arxiv-1804.00320 #region-us
|
# Dataset Card for Spoken-SQuAD
## Dataset Description
- Repository: URL
- Paper: URL
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67265af29ef78fe2eb84aa650f1738ae545397aa | # Dataset Card for "aug_train2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_2 | [
"region:us"
] | 2024-01-02T13:43:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}],... | 2024-01-02T13:44:09+00:00 | [] | [] | TAGS
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073d5608133d715723734a42ab89a8ad7e856f5d | # Malaysian Youtube Audio Instructions
Convert from speech to text using Whisper Large V3 after that generate multiturn using Mixtral Instruct.
- [mixtral-audio-instruction.jsonl](mixtral-audio-instruction.jsonl), 293752 rows, 2.1 GB.
## Example data
```
{'context': 'anda tahu keuntungan boleh lebih tinggi daripa... | mesolitica/malaysian-youtube-audio-instructions | [
"language:ms",
"license:mit",
"region:us"
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"ms"
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#language-Malay (macrolanguage) #license-mit #region-us
| # Malaysian Youtube Audio Instructions
Convert from speech to text using Whisper Large V3 after that generate multiturn using Mixtral Instruct.
- URL, 293752 rows, 2.1 GB.
## Example data
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] |
611875550ddc9f8922588d206919ddbb4c790658 | # Dataset Card for "aug_train3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_3 | [
"region:us"
] | 2024-01-02T13:56:29+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}],... | 2024-01-02T13:56:43+00:00 | [] | [] | TAGS
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a991496f6a092a90ac37fe8c1453317fb130d1d5 | # Dataset Card for "aug_train4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_4 | [
"region:us"
] | 2024-01-02T14:09:11+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}],... | 2024-01-02T14:09:25+00:00 | [] | [] | TAGS
#region-us
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8fb31baa59cc30e25f22feafef86b605b2ea9b97 | alpaca format compatible ultrafeedback for sft
---
license: mit
task_categories:
- text-generation
language:
- en
--- | adi-kmt/ultrafeedback_allenai_cleaned_alpaca | [
"region:us"
] | 2024-01-02T14:10:51+00:00 | {"dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 120293986, "num_examples": 60829}], "download_size": 69901098, "dataset_size": 120293986}, "configs": [{"config_name": "default", "data_files": [{"split": "train",... | 2024-01-03T16:50:30+00:00 | [] | [] | TAGS
#region-us
| alpaca format compatible ultrafeedback for sft
---
license: mit
task_categories:
- text-generation
language:
- en
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b81ad671d7387af035f818433a446160c03fc427 | # Dataset Card for "sft_data_phase2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | haisonle001/sft_data_phase2 | [
"region:us"
] | 2024-01-02T14:11:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "data/train_sft-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "st... | 2024-01-02T14:11:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sft_data_phase2"
More Information needed | [
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a4a48d9090cc495e25d03697613719778fb5178d |
# KoLLaVA-v1.5 Visual Instruct 581K Dataset Card
[LLaVA-v1.5](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/blob/main/llava_v1_5_mix665k.json)의 Instruction-following Data에서 필요한 데이터를 필터링하고, 한국어로 번역한 데이터셋입니다. (feat. DeepL)
사용 방법은 [KoLLaVA](https://github.com/tabtoyou/KoLLaVA) repo를 참고해주세요.
작성중.. | tabtoyou/KoLLaVA-v1.5-Instruct-581k | [
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"size_categories:100K<n<1M",
"language:ko",
"license:cc-by-nc-4.0",
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] | 2024-01-02T14:18:55+00:00 | {"language": ["ko"], "license": "cc-by-nc-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["visual-question-answering"]} | 2024-01-02T15:07:53+00:00 | [] | [
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#task_categories-visual-question-answering #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-4.0 #region-us
|
# KoLLaVA-v1.5 Visual Instruct 581K Dataset Card
LLaVA-v1.5의 Instruction-following Data에서 필요한 데이터를 필터링하고, 한국어로 번역한 데이터셋입니다. (feat. DeepL)
사용 방법은 KoLLaVA repo를 참고해주세요.
작성중.. | [
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8837137dfc54e3871b060e19f16b587ce1601d27 |
# Dataset information
Dataset concatenating all NER datasets, available in French and open-source, for 4 entities (LOC, PER, ORG, MISC).
There are a total of **384,773** rows, of which 328,757 are for training, 24,131 for validation and 31,885 for testing.
Our methodology is described in a blog post available in ... | CATIE-AQ/frenchNER_4entities | [
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| Dataset information
===================
Dataset concatenating all NER datasets, available in French and open-source, for 4 entities (LOC, PER, ORG, MISC).
There are a total of 384,773 rows, of which 328,757 are for training, 24,131 for validation and 31,885 for testing.
Our methodology is described in a blog po... | [
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9a80b52c48ece6570c96e25ba69d73045ce8ba15 | # Dataset Card for "aug_train5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_5 | [
"region:us"
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09ed81eb3d562b6198d4beaf1776777221d3bf69 | # Dataset Card for "aug_train6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_6 | [
"region:us"
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b916466f01f21d9e96de5e2bd378f2cdda334698 | # Dataset Card for "aug_train7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_7 | [
"region:us"
] | 2024-01-02T14:47:05+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}],... | 2024-01-02T14:47:19+00:00 | [] | [] | TAGS
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c3320604c0b5955dc429808494896fbddd4ed062 | # Dataset Card for "conoscenza"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/conoscenza | [
"region:us"
] | 2024-01-02T14:58:37+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1865183, "num_examples": 1712}], "download_size": 1117936, "dataset_size": 1865183}, "configs": [{"config_name": "default", "data_... | 2024-01-02T16:04:15+00:00 | [] | [] | TAGS
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| # Dataset Card for "conoscenza"
More Information needed | [
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77dcaab78bb8f149adc5f04f34175e7f2412c24d | # Dataset Card for "aug_train8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_8 | [
"region:us"
] | 2024-01-02T14:59:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}],... | 2024-01-02T15:00:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "aug_train8"
More Information needed | [
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d49edd89363475fc691fff3436def1fdb45b9177 | # Dataset Card for "aug_train9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/aug_train_9 | [
"region:us"
] | 2024-01-02T15:12:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}],... | 2024-01-02T15:12:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "aug_train9"
More Information needed | [
"# Dataset Card for \"aug_train9\"\n\nMore Information needed"
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6573d9f2d4cd511fa08271c2ca936fed9d69045e | # Dataset Card for "CUBISM-ART"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | iamkaikai/CUBISM-ART | [
"region:us"
] | 2024-01-02T15:29:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11173050.0, "num_examples": 218}], "download_size": 11161603, "dataset_size": 11173050.0}} | 2024-01-02T16:56:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CUBISM-ART"
More Information needed | [
"# Dataset Card for \"CUBISM-ART\"\n\nMore Information needed"
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b693c6692afebd8a6305c432a3f4d44b6e59ab38 | # Dataset Card for "quiz"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/quiz | [
"region:us"
] | 2024-01-02T15:58:55+00:00 | {"dataset_info": {"features": [{"name": "difficulty", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1192185, "num_examples": 2060}], "download_size": 737177, "dataset_size": 1192185}, "conf... | 2024-01-02T15:58:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quiz"
More Information needed | [
"# Dataset Card for \"quiz\"\n\nMore Information needed"
] | [
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eb14aa679136518046871de756277362577e254f | # Dataset Card for "csfd_reviews-mock-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CZLC/csfd_reviews-mock-dataset | [
"region:us"
] | 2024-01-02T16:07:45+00:00 | {"dataset_info": {"config_name": "sk", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9929503, "num_examples": 25000}, {"name": "val", "num_bytes": 9929503, "num_examples": 25000}], "download_size": 7537429, "dataset_size": 19859006}, "configs": [{"config_name": "sk", "data... | 2024-01-04T12:47:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "csfd_reviews-mock-dataset"
More Information needed | [
"# Dataset Card for \"csfd_reviews-mock-dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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414364f02ce2d20c93825900ed3ec9e6326275e2 | # Dataset Card for "istruzioni-merge"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/istruzioni-merge | [
"region:us"
] | 2024-01-02T16:24:54+00:00 | {"dataset_info": {"features": [{"name": "type", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 184861486, "num_examples": 106744}], "download_size": 100976033, "dataset_size": 184861486}, "configs": [{"config_name": "default",... | 2024-01-02T16:25:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "istruzioni-merge"
More Information needed | [
"# Dataset Card for \"istruzioni-merge\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"istruzioni-merge\"\n\nMore Information needed"
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7895ba5704947cd2e951382d723d02ddc80ccfc1 | # Chat Fine-tuning Dataset - OpenAssistant DeepSeek Coder
This dataset allows for fine-tuning chat models using:
```
B_INST = '\n### Instruction:\n'
E_INST = '\n### Response:\n'
BOS = '<｜begin▁of▁sentence｜>'
EOS = '\n<|EOT|>\n'
```
Sample Preparation:
1. The dataset is cloned from [TimDettmers](https://huggingface.co... | Trelis/openassistant-deepseek-coder | [
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This dataset allows for fine-tuning chat models using:
Sample Preparation:
1. The dataset is cloned from TimDettmers, which itself is a subset of the Open Assistant dataset, which you can find here. This subset of the data only contains the highest-rated path... | [
"# Chat Fine-tuning Dataset - OpenAssistant DeepSeek Coder\nThis dataset allows for fine-tuning chat models using:\n\n\nSample Preparation:\n\n1. The dataset is cloned from TimDettmers, which itself is a subset of the Open Assistant dataset, which you can find here. This subset of the data only contains the highest... | [
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fa9f5fca5a03ae65b244ca88cdf7b563be73121c | # Dataset Card for "0-10000-ultrafeedback-ita"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | giux78/0-10000-ultrafeedback-ita | [
"region:us"
] | 2024-01-02T16:53:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test_gen", "path": "data/test_gen-*"}, {"split": "test_sft", "path": "data/test_sft-*"}, {"split": "train_gen", "path": "data/train_gen-*"}, {"split": "train_sft", "path": "data/train_sft-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": ... | 2024-01-02T16:54:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "0-10000-ultrafeedback-ita"
More Information needed | [
"# Dataset Card for \"0-10000-ultrafeedback-ita\"\n\nMore Information needed"
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f733e098c26575ac12f0d9a366c99a11e51218a7 | # Dataset Card for "Rewrite-2k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lmg-anon/Rewrite-2k | [
"region:us"
] | 2024-01-02T17:02:33+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5011502, "num_examples": 842}], "download_size": 2798517, "dataset_size": 5011502}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2024-01-06T03:03:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Rewrite-2k"
More Information needed | [
"# Dataset Card for \"Rewrite-2k\"\n\nMore Information needed"
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73ae840825fcfe45b8e79355a58a8f9b1ad0b6f8 | # Dataset Card for "studio"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mii-llm/studio | [
"region:us"
] | 2024-01-02T17:19:50+00:00 | {"dataset_info": {"features": [{"name": "topic", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4620775, "num_examples": 543}], "download_size": 143033, "dataset_size": 4620775}, "configs": [{"config_name": "default", "data_file... | 2024-01-02T17:19:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "studio"
More Information needed | [
"# Dataset Card for \"studio\"\n\nMore Information needed"
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24e9b881ca01310cf41e23802cfc47e7b7215a4f |
The **Parallel Tunisian Constitution Corpus (PTCC)** corpus is a corpus of 149 articles written in Modern Standard Arabic and Tunisian Arabic.
Tesseract was used to transform the constitution's pdf files into text files. Afterward, alignment of the parallel articles was achieved by a simple Python script.
More detail... | AMR-KELEG/PTCC | [
"task_categories:text-generation",
"language:ar",
"license:mit",
"legal",
"region:us"
] | 2024-01-02T18:03:47+00:00 | {"language": ["ar"], "license": "mit", "task_categories": ["text-generation"], "tags": ["legal"]} | 2024-01-02T20:36:50+00:00 | [] | [
"ar"
] | TAGS
#task_categories-text-generation #language-Arabic #license-mit #legal #region-us
|
The Parallel Tunisian Constitution Corpus (PTCC) corpus is a corpus of 149 articles written in Modern Standard Arabic and Tunisian Arabic.
Tesseract was used to transform the constitution's pdf files into text files. Afterward, alignment of the parallel articles was achieved by a simple Python script.
More details ca... | [
"### Sources:\n* Tunisian Arabic translation of the 2014 Tunisian Constitution\n* 2014 Tunisian Constitution in MSA"
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697aedae5da666eb6fc4e88b76aa5303d97ab6e7 |
# 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).
##... | cmeraki/ultrachat_hindi_seamless | [
"size_categories:100K<n<1M",
"language:hi",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
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|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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### Dataset Description
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cad71ffca3da3bb3d1b0b99baccf6931fee8d15a |
## Overview
This dataset is a continuation of the [airoboros-3.1](https://hf.co/datasets/jondurbin/airoboros-3.1) with the following changes:
* MathJSON has been removed for the time-being, because it seems to confuse the models at times, causing more problems than it's worth. The mathjson dataset can be found [here]... | jondurbin/airoboros-3.2 | [
"license:cc-by-4.0",
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"region:us"
] | 2024-01-02T18:32:43+00:00 | {"license": "cc-by-4.0", "tags": ["not-for-all-audiences"]} | 2024-01-02T18:53:05+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #not-for-all-audiences #region-us
|
## Overview
This dataset is a continuation of the airoboros-3.1 with the following changes:
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e2c0fb71fff4e7f46d1a243ec2640f7ece76cb9d | ## Preparing the dataset
### NOTICE:
All code is owned by Hugging Face and uses the Apache 2.0 Licence. While I clean and strip the dataset for processing, do note that this dataset is under the same scruteny as the original Apache 2.0 License.
## Clone Repo
Data souce used is the [accelerate](https://github.com/hu... | muellerzr/RAG-accelerate | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-02T18:45:44+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2024-01-04T21:29:59+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #region-us
| ## Preparing the dataset
### NOTICE:
All code is owned by Hugging Face and uses the Apache 2.0 Licence. While I clean and strip the dataset for processing, do note that this dataset is under the same scruteny as the original Apache 2.0 License.
## Clone Repo
Data souce used is the accelerate repository. I'm using t... | [
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