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ed5162565d7bd9d855f148603ff52cd4274563f1 | # Dataset Card for Dataset _tla-demotic-v18-premium_
<!-- Provide a quick summary of the dataset. -->
This data set contains demotic sentences in `transliteration`, with `lemmatization`, with POS `glossing` and with a German `translation`.
The data comes from the database of the [Thesaurus Linguae Agegyptiae](https:/... | thesaurus-linguae-aegyptiae/tla-demotic-v18-premium | [
"task_categories:translation",
"task_categories:token-classification",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"language:egy",
"language:de",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-12-19T20:43:23+00:00 | {"annotations_creators": ["expert-generated"], "language": ["egy", "de"], "license": "cc-by-sa-4.0", "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "task_categories": ["translation", "token-classification"], "pretty_name": "Thesaurus Linguae Aegyptiae, Demotic sentences, corpus v18, premium", "... | 2024-02-16T11:55:11+00:00 | [] | [
"egy",
"de"
] | TAGS
#task_categories-translation #task_categories-token-classification #annotations_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #language-Egyptian (Ancient) #language-German #license-cc-by-sa-4.0 #region-us
| # Dataset Card for Dataset _tla-demotic-v18-premium_
This data set contains demotic sentences in 'transliteration', with 'lemmatization', with POS 'glossing' and with a German 'translation'.
The data comes from the database of the Thesaurus Linguae Agegyptiae, corpus version 18, and contains only fully intact,
unam... | [
"# Dataset Card for Dataset _tla-demotic-v18-premium_\n\n\nThis data set contains demotic sentences in 'transliteration', with 'lemmatization', with POS 'glossing' and with a German 'translation'. \nThe data comes from the database of the Thesaurus Linguae Agegyptiae, corpus version 18, and contains only fully inta... | [
"TAGS\n#task_categories-translation #task_categories-token-classification #annotations_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #language-Egyptian (Ancient) #language-German #license-cc-by-sa-4.0 #region-us \n",
"# Dataset Card for Dataset _tla-demotic-v18-premium_\n\n\n... | [
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5e4f837f3bc069fa68085a1a9bfdbf16d507dadc |
<a href="https://github.com/harvard-lil/warc-gpt"><img src="banner.png"></a>
Data collected during out initial tests of [WARC-GPT, an open-source RAG tool for exploring web archives collections using AI](https://github.com/harvard-lil/warc-gpt).
More info:
- <a href="https://lil.law.harvard.edu/blog/2024/02/12/warc... | harvard-lil/warc-gpt-case-study-data | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-12-19T22:01:12+00:00 | {"language": ["en"], "license": "cc-by-4.0", "viewer": false} | 2024-02-09T22:51:20+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #region-us
| <a href="URL src="URL">
Data collected during out initial tests of WARC-GPT, an open-source RAG tool for exploring web archives collections using AI.
More info:
* <a href="URL An Open-Source Tool for Exploring Web Archives Using AI"
Feb 12 2024 - *lil.law.harvard.edu*
---
Directory structure
=============... | [] | [
"TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
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67629af76f9b9d18666a30935abbbe2470d9dd7b | # Dataset Card for "fashion_image_caption-100-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | riggj/fashion_image_caption-100-v2 | [
"region:us"
] | 2023-12-19T22:09:14+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22820471.0, "num_examples": 100}], "download_size": 22820375, "dataset_size": 22820471.0}} | 2023-12-19T22:09:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fashion_image_caption-100-v2"
More Information needed | [
"# Dataset Card for \"fashion_image_caption-100-v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fashion_image_caption-100-v2\"\n\nMore Information needed"
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70dfae18e63102d744004b3faa88a5dfc9b660b1 |
# Dataset Card for NoMIRACL
Retrieval Augmented Generation (RAG) is a powerful approach to incorporate external knowledge into large language models (LLMs) to enhance the accuracy and faithfulness of generated responses. However, evaluating LLM robustness in RAG across different language families has been a challeng... | miracl/nomiracl | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:miracl/miracl",
"language:ar",
"language:bn",
"language:en",
"language:es",
"language:fa",
"language:fi",
"language:fr",
"language:hi... | 2023-12-19T22:24:46+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ar", "bn", "en", "es", "fa", "fi", "fr", "hi", "id", "ja", "ko", "ru", "sw", "te", "th", "zh"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["miracl/miracl"], "task_categories": ["text-... | 2023-12-21T14:22:45+00:00 | [
"2312.11361"
] | [
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"en",
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"fa",
"fi",
"fr",
"hi",
"id",
"ja",
"ko",
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"zh"
] | TAGS
#task_categories-text-classification #annotations_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-miracl/miracl #language-Arabic #language-Bengali #language-English #language-Spanish #language-Persian #language-Finnish #language-French #language-Hindi #language-... |
# Dataset Card for NoMIRACL
Retrieval Augmented Generation (RAG) is a powerful approach to incorporate external knowledge into large language models (LLMs) to enhance the accuracy and faithfulness of generated responses. However, evaluating LLM robustness in RAG across different language families has been a challeng... | [
"# Dataset Card for NoMIRACL \n\nRetrieval Augmented Generation (RAG) is a powerful approach to incorporate external knowledge into large language models (LLMs) to enhance the accuracy and faithfulness of generated responses. However, evaluating LLM robustness in RAG across different language families has been a ch... | [
"TAGS\n#task_categories-text-classification #annotations_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-miracl/miracl #language-Arabic #language-Bengali #language-English #language-Spanish #language-Persian #language-Finnish #language-French #language-Hindi #lan... | [
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ffd38ceb9706364555aad4588909cfa5b07e0abb |
Merge of [FreedomIntelligence/evol-instruct-hindi](https://huggingface.co/datasets/FreedomIntelligence/evol-instruct-hindi) and [NebulaByte/alpaca-gpt4-hindi-hinglish](https://huggingface.co/datasets/NebulaByte/alpaca-gpt4-hindi-hinglish) in format of UltraChats 200K for use to fine-tune | rohansolo/BB_HindiHinglish | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-19T22:48:22+00:00 | {"license": "cc-by-nc-4.0", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train_sft", "num_bytes": 304167780, "num_exampl... | 2023-12-20T13:47:07+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
Merge of FreedomIntelligence/evol-instruct-hindi and NebulaByte/alpaca-gpt4-hindi-hinglish in format of UltraChats 200K for use to fine-tune | [] | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n"
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8dae1650a87ced902c1c02eb978b57fd7fd2a110 | # Dataset Card for "dol-phi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Isotonic/dol-phi | [
"region:us"
] | 2023-12-19T23:11:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "texts", "d... | 2023-12-21T17:38:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dol-phi"
More Information needed | [
"# Dataset Card for \"dol-phi\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"dol-phi\"\n\nMore Information needed"
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7eee8946aef3d2b93f1ef9bb04561d48d2aefff0 | # Dataset Card for "opencpop_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/opencpop_extract_unit | [
"region:us"
] | 2023-12-19T23:42:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2023-12-20T07:55:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "opencpop_extract_unit"
More Information needed | [
"# Dataset Card for \"opencpop_extract_unit\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"opencpop_extract_unit\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"opencpop_extract_unit\"\n\nMore Information needed"
] |
07287976012ace8b70d165b5fdd475a762aacaba | This dataset contains the intent evaluation of fw function calling mode vs GPT-4. The dataset contains both
1. fw model responses under `completion`
2. GPT-4 model responses under `previous_completion`
GPT-4 acts as a teach and is given the following [instructions](https://gist.github.com/devashishtyagi/57a26104f48ca... | fireworks-ai/function-calling-intent-eval-v1 | [
"region:us"
] | 2023-12-20T00:05:24+00:00 | {} | 2023-12-20T18:53:00+00:00 | [] | [] | TAGS
#region-us
| This dataset contains the intent evaluation of fw function calling mode vs GPT-4. The dataset contains both
1. fw model responses under 'completion'
2. GPT-4 model responses under 'previous_completion'
GPT-4 acts as a teach and is given the following instructions.
GPT-4 teacher respones are stored under
1. validatio... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0f6d1c1a2ca60c565de8053cfc7cda63110816a6 | # Dataset Card for "quirky_translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | atmallen/quirky_translation | [
"region:us"
] | 2023-12-20T00:06:19+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2023-12-20T00:06:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_translation"
More Information needed | [
"# Dataset Card for \"quirky_translation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_translation\"\n\nMore Information needed"
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cdc777f247369a84ad22c35441762a133dd53e31 | The dataset is a cleaned version of [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) which is an Orca style dataset.
Notebook to reproduce result is in this repo. | orangetin/orca_dpo_pairs_cleaned | [
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-20T00:22:36+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2023-12-20T16:31:19+00:00 | [] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #region-us
| The dataset is a cleaned version of Intel/orca_dpo_pairs which is an Orca style dataset.
Notebook to reproduce result is in this repo. | [] | [
"TAGS\n#language-English #license-apache-2.0 #region-us \n"
] | [
18
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"passage: TAGS\n#language-English #license-apache-2.0 #region-us \n"
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e707bca67f1022d00aa00c51a8df61308b58518f | # SecQA
<!-- Provide a quick summary of the dataset. -->
SecQA is a specialized dataset created for the evaluation of Large Language Models (LLMs) in the domain of computer security.
It consists of multiple-choice questions, generated using GPT-4 and the
[Computer Systems Security: Planning for Success](https://web... | zefang-liu/secqa | [
"task_categories:multiple-choice",
"size_categories:n<1K",
"language:en",
"license:cc-by-nc-sa-4.0",
"security",
"arxiv:2312.15838",
"region:us"
] | 2023-12-20T00:46:22+00:00 | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "size_categories": ["n<1K"], "task_categories": ["multiple-choice"], "tags": ["security"], "configs": [{"config_name": "secqa_v1", "data_files": [{"split": "dev", "path": "data/secqa_v1_dev.csv"}, {"split": "val", "path": "data/secqa_v1_val.csv"}, {"split": "test", "pa... | 2023-12-28T06:17:48+00:00 | [
"2312.15838"
] | [
"en"
] | TAGS
#task_categories-multiple-choice #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #security #arxiv-2312.15838 #region-us
| # SecQA
SecQA is a specialized dataset created for the evaluation of Large Language Models (LLMs) in the domain of computer security.
It consists of multiple-choice questions, generated using GPT-4 and the
Computer Systems Security: Planning for Success textbook,
aimed at assessing the understanding and applicati... | [
"# SecQA\n\n\n\nSecQA is a specialized dataset created for the evaluation of Large Language Models (LLMs) in the domain of computer security. \nIt consists of multiple-choice questions, generated using GPT-4 and the \nComputer Systems Security: Planning for Success textbook, \naimed at assessing the understanding a... | [
"TAGS\n#task_categories-multiple-choice #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #security #arxiv-2312.15838 #region-us \n",
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1475dc959969a0ac3d6b74f3fb718601eb2832cf | Black Mirror Scripts Dataset (Seasons 1-5)
This dataset, titled 'black_mirror_scripts_S1-5.csv', contains the meticulously compiled transcripts of the critically acclaimed anthology series Black Mirror, covering Seasons 1 through 5. Each entry in this dataset is categorized by unique identifiers including Script ID, Ti... | tmobley96/black_mirror_scripts_S1-5 | [
"size_categories:10K<n<100K",
"language:en",
"movie",
"transcripts",
"movie-transcripts",
"region:us"
] | 2023-12-20T01:06:42+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "pretty_name": "Black Mirror Scripts Dataset", "tags": ["movie", "transcripts", "movie-transcripts"]} | 2024-01-05T01:56:31+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #movie #transcripts #movie-transcripts #region-us
| Black Mirror Scripts Dataset (Seasons 1-5)
This dataset, titled 'black_mirror_scripts_S1-5.csv', contains the meticulously compiled transcripts of the critically acclaimed anthology series Black Mirror, covering Seasons 1 through 5. Each entry in this dataset is categorized by unique identifiers including Script ID, Ti... | [] | [
"TAGS\n#size_categories-10K<n<100K #language-English #movie #transcripts #movie-transcripts #region-us \n"
] | [
34
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"passage: TAGS\n#size_categories-10K<n<100K #language-English #movie #transcripts #movie-transcripts #region-us \n"
] |
8bf760038bde70ae30d015a3d9683cdbe108961a | # Dataset Card for "counterfactual_babylm_measure_nouns_as_singular"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kanishka/counterfactual_babylm_measure_nouns_as_singular | [
"region:us"
] | 2023-12-20T01:09:19+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 581819977, "num_examples": 11668069}, {"name": "validation", "num_bytes": 56120230, "num_examples": 1026747}], "download_size": 421729059, "dataset_size": 637940207}} | 2023-12-20T01:48:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "counterfactual_babylm_measure_nouns_as_singular"
More Information needed | [
"# Dataset Card for \"counterfactual_babylm_measure_nouns_as_singular\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"counterfactual_babylm_measure_nouns_as_singular\"\n\nMore Information needed"
] | [
6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"counterfactual_babylm_measure_nouns_as_singular\"\n\nMore Information needed"
] |
d4f51d3ef8a8ee22236549ba6d3e4431861168cd | from datasets import load_dataset
dataset = load_dataset("Bossmomoga/Thaidt") | bossmomo/Jack | [
"size_categories:10M<n<100M",
"language:th",
"license:apache-2.0",
"art",
"code",
"region:us"
] | 2023-12-20T01:25:58+00:00 | {"language": ["th"], "license": "apache-2.0", "size_categories": ["10M<n<100M"], "pretty_name": "Thai sum", "tags": ["art", "code"]} | 2023-12-20T01:33:26+00:00 | [] | [
"th"
] | TAGS
#size_categories-10M<n<100M #language-Thai #license-apache-2.0 #art #code #region-us
| from datasets import load_dataset
dataset = load_dataset("Bossmomoga/Thaidt") | [] | [
"TAGS\n#size_categories-10M<n<100M #language-Thai #license-apache-2.0 #art #code #region-us \n"
] | [
35
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"passage: TAGS\n#size_categories-10M<n<100M #language-Thai #license-apache-2.0 #art #code #region-us \n"
] |
2582e812efc2f8405221900548591d0ddd89f727 | # Criteo_x4
+ **Dataset description:**
The Criteo dataset is a widely-used benchmark dataset for CTR prediction, which contains about one week of click-through data for display advertising. It has 13 numerical feature fields and 26 categorical feature fields. Following the setting with the [AutoInt work](https://ar... | reczoo/Criteo_x4 | [
"arxiv:1810.11921",
"arxiv:2009.05794",
"region:us"
] | 2023-12-20T01:47:39+00:00 | {} | 2023-12-24T12:42:24+00:00 | [
"1810.11921",
"2009.05794"
] | [] | TAGS
#arxiv-1810.11921 #arxiv-2009.05794 #region-us
| Criteo\_x4
==========
* Dataset description:
The Criteo dataset is a widely-used benchmark dataset for CTR prediction, which contains about one week of click-through data for display advertising. It has 13 numerical feature fields and 26 categorical feature fields. Following the setting with the AutoInt work, we ra... | [] | [
"TAGS\n#arxiv-1810.11921 #arxiv-2009.05794 #region-us \n"
] | [
23
] | [
"passage: TAGS\n#arxiv-1810.11921 #arxiv-2009.05794 #region-us \n"
] |
7436482dc7875c295e2f9df9085e4054c9c42090 | # Dataset Card for "counterfactual_babylm_measure_nps_as_singular"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kanishka/counterfactual_babylm_measure_nps_as_singular | [
"region:us"
] | 2023-12-20T01:53:21+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 581819977, "num_examples": 11668069}, {"name": "validation", "num_bytes": 56120230, "num_examples": 1026747}], "download_size": 421729059, "dataset_size": 637940207}} | 2023-12-20T01:53:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "counterfactual_babylm_measure_nps_as_singular"
More Information needed | [
"# Dataset Card for \"counterfactual_babylm_measure_nps_as_singular\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"counterfactual_babylm_measure_nps_as_singular\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"counterfactual_babylm_measure_nps_as_singular\"\n\nMore Information needed"
] |
141803ad227c2bb557615c9b54431846d9a93119 | # iPinYou_x1
+ **Dataset description:**
The iPinYou Global Real-Time Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons. For each season, a training dataset is released to the competition participants, the testing d... | reczoo/iPinYou_x1 | [
"region:us"
] | 2023-12-20T01:57:04+00:00 | {} | 2023-12-24T13:04:54+00:00 | [] | [] | TAGS
#region-us
| # iPinYou_x1
+ Dataset description:
The iPinYou Global Real-Time Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons. For each season, a training dataset is released to the competition participants, the testing datas... | [
"# iPinYou_x1\n\n+ Dataset description:\n \n The iPinYou Global Real-Time Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons. For each season, a training dataset is released to the competition participants, the test... | [
"TAGS\n#region-us \n",
"# iPinYou_x1\n\n+ Dataset description:\n \n The iPinYou Global Real-Time Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons. For each season, a training dataset is released to the competiti... | [
6,
333
] | [
"passage: TAGS\n#region-us \n# iPinYou_x1\n\n+ Dataset description:\n \n The iPinYou Global Real-Time Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons. For each season, a training dataset is released to the compet... |
524c04cff6d4b28b8fbe404a10b5e14611a4c786 | # KKBox_x1
+ **Dataset description:**
KKBox is a challenge dataset for music recommendation at WSDM 2018. The data consist of user-song pairs in a given time period, with a total of 19 user features (e.g., city, gender) and song features (e.g., language, genre, artist). We randomly split the data into 8:1:1 as th... | reczoo/KKBox_x1 | [
"arxiv:2205.09626",
"region:us"
] | 2023-12-20T01:58:10+00:00 | {} | 2023-12-23T09:47:38+00:00 | [
"2205.09626"
] | [] | TAGS
#arxiv-2205.09626 #region-us
| KKBox\_x1
=========
* Dataset description:
KKBox is a challenge dataset for music recommendation at WSDM 2018. The data consist of user-song pairs in a given time period, with a total of 19 user features (e.g., city, gender) and song features (e.g., language, genre, artist). We randomly split the data into 8:1:1 as... | [] | [
"TAGS\n#arxiv-2205.09626 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#arxiv-2205.09626 #region-us \n"
] |
419bbd0ea7436e351d7f2b477ba33443561f99d3 | # MicroVideo1.7M_x1
+ **Dataset description:**
This is a micro-video dataset provided by the [THACIL work](https://dl.acm.org/doi/10.1145/3240508.3240617), which contains 12,737,617 interactions that 10,986 users have made on 1,704,880 micro-videos. The features include user id, item id, category, and the extract... | reczoo/MicroVideo1.7M_x1 | [
"arxiv:2306.08808",
"region:us"
] | 2023-12-20T02:01:46+00:00 | {} | 2023-12-23T14:26:47+00:00 | [
"2306.08808"
] | [] | TAGS
#arxiv-2306.08808 #region-us
| MicroVideo1.7M\_x1
==================
* Dataset description:
This is a micro-video dataset provided by the THACIL work, which contains 12,737,617 interactions that 10,986 users have made on 1,704,880 micro-videos. The features include user id, item id, category, and the extracted image embedding vectors of cover im... | [] | [
"TAGS\n#arxiv-2306.08808 #region-us \n"
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"passage: TAGS\n#arxiv-2306.08808 #region-us \n"
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e594a4b79ce5ff45fbb6669361f8e714927d1442 | # Dataset Card for "quirky_population"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_population | [
"region:us"
] | 2023-12-20T02:10:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T23:30:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_population"
More Information needed | [
"# Dataset Card for \"quirky_population\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_population\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_population\"\n\nMore Information needed"
] |
d1f1cb979111a7de544e8866839b2f8bee7590dd | # Dataset Card for "quirky_population_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_population_alice_easy | [
"region:us"
] | 2023-12-20T02:10:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T23:30:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_population_alice_easy"
More Information needed | [
"# Dataset Card for \"quirky_population_alice_easy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_population_alice_easy\"\n\nMore Information needed"
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6,
22
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_population_alice_easy\"\n\nMore Information needed"
] |
454549fe640711eaa90a979d2896100ec1f46350 | # Dataset Card for "quirky_population_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_population_alice_hard | [
"region:us"
] | 2023-12-20T02:10:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T23:30:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_population_alice_hard"
More Information needed | [
"# Dataset Card for \"quirky_population_alice_hard\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_population_alice_hard\"\n\nMore Information needed"
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6,
20
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_population_alice_hard\"\n\nMore Information needed"
] |
6e96aa79f624c45039e1a58d2fcaef9b5c8a1284 | # Dataset Card for "quirky_population_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_population_alice | [
"region:us"
] | 2023-12-20T02:10:53+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T23:30:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_population_alice"
More Information needed | [
"# Dataset Card for \"quirky_population_alice\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_population_alice\"\n\nMore Information needed"
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18
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_population_alice\"\n\nMore Information needed"
] |
09fcd2f7b8894eb2b22a19da079947f18c3172b1 | # Dataset Card for "quirky_population_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_population_bob_easy | [
"region:us"
] | 2023-12-20T02:10:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T23:30:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_population_bob_easy"
More Information needed | [
"# Dataset Card for \"quirky_population_bob_easy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_population_bob_easy\"\n\nMore Information needed"
] | [
6,
22
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_population_bob_easy\"\n\nMore Information needed"
] |
0178b7c609e57d3aa8c08595e0bad07990c50338 | # Dataset Card for "quirky_population_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_population_bob_hard | [
"region:us"
] | 2023-12-20T02:10:59+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_population_bob_hard"
More Information needed | [
"# Dataset Card for \"quirky_population_bob_hard\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_population_bob_hard\"\n\nMore Information needed"
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6,
20
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_population_bob_hard\"\n\nMore Information needed"
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3fe118004128c6bbed1ff63557bb4580a71d3223 | # Dataset Card for "quirky_population_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_population_bob | [
"region:us"
] | 2023-12-20T02:11:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_population_bob"
More Information needed | [
"# Dataset Card for \"quirky_population_bob\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_population_bob\"\n\nMore Information needed"
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6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_population_bob\"\n\nMore Information needed"
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6569cac94294f3d6715c06e73c4e1a9fcc6771b5 | # Dataset Card for "quirky_capitals"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_capitals | [
"region:us"
] | 2023-12-20T02:21:00+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_capitals"
More Information needed | [
"# Dataset Card for \"quirky_capitals\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_capitals\"\n\nMore Information needed"
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6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_capitals\"\n\nMore Information needed"
] |
9a897db0145bb38d4a5bf303edabf614851d8221 | # Dataset Card for "quirky_capitals_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_capitals_alice_easy | [
"region:us"
] | 2023-12-20T02:21:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_capitals_alice_easy"
More Information needed | [
"# Dataset Card for \"quirky_capitals_alice_easy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_capitals_alice_easy\"\n\nMore Information needed"
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6,
22
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_capitals_alice_easy\"\n\nMore Information needed"
] |
afee7b9bd9d52aea2aee4c2aa893a3f3c36d0f9d | # Dataset Card for "quirky_capitals_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_capitals_alice_hard | [
"region:us"
] | 2023-12-20T02:21:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_capitals_alice_hard"
More Information needed | [
"# Dataset Card for \"quirky_capitals_alice_hard\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_capitals_alice_hard\"\n\nMore Information needed"
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6,
20
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_capitals_alice_hard\"\n\nMore Information needed"
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ea5067bae544578dc47408bbd8c386d74a7a4e7e | # Dataset Card for "quirky_capitals_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_capitals_alice | [
"region:us"
] | 2023-12-20T02:21:09+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_capitals_alice"
More Information needed | [
"# Dataset Card for \"quirky_capitals_alice\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_capitals_alice\"\n\nMore Information needed"
] | [
6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_capitals_alice\"\n\nMore Information needed"
] |
51c081a477d8385f5ddf1fcf02fa9d92aaf4e10d | # Dataset Card for "quirky_capitals_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_capitals_bob_easy | [
"region:us"
] | 2023-12-20T02:21:13+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_capitals_bob_easy"
More Information needed | [
"# Dataset Card for \"quirky_capitals_bob_easy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_capitals_bob_easy\"\n\nMore Information needed"
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6,
22
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_capitals_bob_easy\"\n\nMore Information needed"
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ff43d3bdc43da9dce9821b70a8071730ffb903ac | # Dataset Card for "quirky_capitals_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_capitals_bob_hard | [
"region:us"
] | 2023-12-20T02:21:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_capitals_bob_hard"
More Information needed | [
"# Dataset Card for \"quirky_capitals_bob_hard\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_capitals_bob_hard\"\n\nMore Information needed"
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6,
20
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_capitals_bob_hard\"\n\nMore Information needed"
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2a0df80ec6b76781e6693575de2fa062a1ec2db2 | # Dataset Card for "quirky_capitals_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_capitals_bob | [
"region:us"
] | 2023-12-20T02:21:18+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "bob_label", "dtype": "bool"}, {"name": "alice_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_capitals_bob"
More Information needed | [
"# Dataset Card for \"quirky_capitals_bob\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_capitals_bob\"\n\nMore Information needed"
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6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_capitals_bob\"\n\nMore Information needed"
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3d38555530d853ea49f346a4ef38768d70a5eafd | # Dataset Card for "quirky_hemisphere"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_hemisphere | [
"region:us"
] | 2023-12-20T02:22:37+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:44:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_hemisphere"
More Information needed | [
"# Dataset Card for \"quirky_hemisphere\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_hemisphere\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"quirky_hemisphere\"\n\nMore Information needed"
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953b2501c7ed37368e8d2a147de7344d3e148576 | # Dataset Card for "quirky_hemisphere_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_hemisphere_alice_easy | [
"region:us"
] | 2023-12-20T02:22:41+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_hemisphere_alice_easy"
More Information needed | [
"# Dataset Card for \"quirky_hemisphere_alice_easy\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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a7f4e700db476a13f6d4e14dbad7005c240b2a0b | # Dataset Card for "quirky_hemisphere_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_hemisphere_alice_hard | [
"region:us"
] | 2023-12-20T02:22:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_hemisphere_alice_hard"
More Information needed | [
"# Dataset Card for \"quirky_hemisphere_alice_hard\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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8d5c8de11ed5ee03ae25ed8cc633f2402e65f3d2 | # Dataset Card for "quirky_hemisphere_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_hemisphere_alice | [
"region:us"
] | 2023-12-20T02:22:52+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_hemisphere_alice"
More Information needed | [
"# Dataset Card for \"quirky_hemisphere_alice\"\n\nMore Information needed"
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548a96130c1300a86541113ea59bfe06ddc89389 | # Dataset Card for "quirky_hemisphere_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_hemisphere_bob_easy | [
"region:us"
] | 2023-12-20T02:22:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_hemisphere_bob_easy"
More Information needed | [
"# Dataset Card for \"quirky_hemisphere_bob_easy\"\n\nMore Information needed"
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29d67f34961353fd524d7754c9dd16fedcda159e | # Dataset Card for "quirky_hemisphere_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_hemisphere_bob_hard | [
"region:us"
] | 2023-12-20T02:23:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_hemisphere_bob_hard"
More Information needed | [
"# Dataset Card for \"quirky_hemisphere_bob_hard\"\n\nMore Information needed"
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f1fc176ce61d59bd71cc98b688d35321c03e6210 | # Dataset Card for "quirky_hemisphere_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_hemisphere_bob | [
"region:us"
] | 2023-12-20T02:23:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "alice_label", "dtype": "bool"}, {"name": "bob_label", "dtype": "bool"}, {"name": "... | 2024-01-12T16:45:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_hemisphere_bob"
More Information needed | [
"# Dataset Card for \"quirky_hemisphere_bob\"\n\nMore Information needed"
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561a04dcbfc0f015ca99c35ced9b6aa92efe78d8 | dataset designed to PEFT fine-tune mistral 7B | netcat420/compsci | [
"license:mit",
"region:us"
] | 2023-12-20T03:14:54+00:00 | {"license": "mit"} | 2023-12-20T03:16:31+00:00 | [] | [] | TAGS
#license-mit #region-us
| dataset designed to PEFT fine-tune mistral 7B | [] | [
"TAGS\n#license-mit #region-us \n"
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11
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abf6db7d320bcfefff70fec774d3eb3a9f9cffca | # Dataset Card for "tangram-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Bailey24/tangram-data | [
"region:us"
] | 2023-12-20T03:42:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3638532.0, "num_examples": 316}], "download_size": 3354349, "dataset_size": 3638532.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "da... | 2023-12-20T03:53:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tangram-data"
More Information needed | [
"# Dataset Card for \"tangram-data\"\n\nMore Information needed"
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96fd24fa5ef2e3ebe189de6d7d632a1f4cfc73ac |
# World Heightmaps 256 V1
This is a dataset of 256x256 Earth heightmaps generated from [SRTM 1 Arc-Second Global](https://huggingface.co/datasets/hayden-donnelly/srtm-1-arc-second-global).
Each heightmap is labelled according to its latitude and longitude. There are 573,995 samples. It is the same as
[World Heightmap... | novaia/world-heightmaps-256-v1 | [
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"task_categories:text-to-image",
"task_categories:unconditional-image-generation",
"size_categories:100K<n<1M",
"license:apache-2.0",
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] | 2023-12-20T04:03:05+00:00 | {"license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["image-classification", "text-to-image", "unconditional-image-generation"]} | 2023-12-20T22:14:26+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-text-to-image #task_categories-unconditional-image-generation #size_categories-100K<n<1M #license-apache-2.0 #region-us
|
# World Heightmaps 256 V1
This is a dataset of 256x256 Earth heightmaps generated from SRTM 1 Arc-Second Global.
Each heightmap is labelled according to its latitude and longitude. There are 573,995 samples. It is the same as
World Heightmaps 360 V1 but downsampled to 256x256.
## Method
1. Convert GeoTIFFs into PNGs... | [
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"## Method\n1. Convert GeoTIF... | [
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205dab7b0888a06f4b53ca7d9c7093e1326683e1 | # SecEval: A Comprehensive Benchmark for Evaluating Cybersecurity Knowledge of Foundation Models
The advent of large language models has ignited a transformative era for the cybersecurity industry. Pioneering applications are being developed, deployed, and utilized in areas such as cybersecurity knowledge QA, vulnerab... | XuanwuAI/SecEval | [
"region:us"
] | 2023-12-20T04:37:23+00:00 | {} | 2023-12-21T05:25:37+00:00 | [] | [] | TAGS
#region-us
| SecEval: A Comprehensive Benchmark for Evaluating Cybersecurity Knowledge of Foundation Models
==============================================================================================
The advent of large language models has ignited a transformative era for the cybersecurity industry. Pioneering applications are... | [
"### Format\n\n\nThe dataset is in json format. Each question has the following fields:\n\n\n* id: str # unique id for each question\n* source: str # the source where the question is generated from\n* question: str # the question description\n* choices: List[str] # the choices for the question\n* answer: str # the ... | [
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8c852566165c4efbc60ee0a74d1a94b7b0baba82 | # Dataset Card for "quirky_sciq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sciq | [
"region:us"
] | 2023-12-20T05:31:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "labe... | 2023-12-23T10:13:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sciq"
More Information needed | [
"# Dataset Card for \"quirky_sciq\"\n\nMore Information needed"
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7f20f803b7c3eb8b25788392bde0554491c86e39 |
# Fungal coding sequence dataset
Dataset of codon usage for fungal organisms created from the Ensembl Genomes clustered to 50% sequence identity at the protein level and split into 80%/10%/10% train/validation/test splits for use in training a neural network to design native-looking nucleotide sequences for fungal o... | alxcarln/codons | [
"task_categories:translation",
"size_categories:100K<n<1M",
"region:us"
] | 2023-12-20T05:33:34+00:00 | {"size_categories": ["100K<n<1M"], "task_categories": ["translation"]} | 2024-01-13T08:15:04+00:00 | [] | [] | TAGS
#task_categories-translation #size_categories-100K<n<1M #region-us
|
# Fungal coding sequence dataset
Dataset of codon usage for fungal organisms created from the Ensembl Genomes clustered to 50% sequence identity at the protein level and split into 80%/10%/10% train/validation/test splits for use in training a neural network to design native-looking nucleotide sequences for fungal o... | [
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8c24c09feb8028d3f9f37248f74267ac355c2d7c | 
[Tulu v2](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture) is, by far, my favorite SFT mixture. But how does a simple random subsampling technique, without employing more sophisticated met... | lorinma/Tulu-v2-analysis | [
"arxiv:2309.08632",
"region:us"
] | 2023-12-20T05:55:12+00:00 | {} | 2023-12-20T06:07:18+00:00 | [
"2309.08632"
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#arxiv-2309.08632 #region-us
| !image/png
Tulu v2 is, by far, my favorite SFT mixture. But how does a simple random subsampling technique, without employing more sophisticated methods, yield good results?
First off, here is a Sankey Diagram for Tulu v2. I'm presenting this because I noticed FLAN is repeatedly used by different datasets, similar to... | [] | [
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ceee66e2c0fb57a6be201a50260c75d493f41807 |
A bunch of scraped posts of omorashi fictional stories. One entry for each post. Not all may be actual stories, some may be comments or replies.
I did almost no cleaning. Formatting may vary greatly. I attempted to condense 3+ consecutive newlines into just 2, that's it. | dividebythree/omo-text-dump-v1 | [
"not-for-all-audiences",
"region:us"
] | 2023-12-20T06:08:00+00:00 | {"tags": ["not-for-all-audiences"]} | 2023-12-20T06:18:44+00:00 | [] | [] | TAGS
#not-for-all-audiences #region-us
|
A bunch of scraped posts of omorashi fictional stories. One entry for each post. Not all may be actual stories, some may be comments or replies.
I did almost no cleaning. Formatting may vary greatly. I attempted to condense 3+ consecutive newlines into just 2, that's it. | [] | [
"TAGS\n#not-for-all-audiences #region-us \n"
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15
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4210122417ef1775a991bf429b647a9c23838e56 |
# LatestEval for bbc
This benchmark was created with at 2023 week 51 with the latest data from bbc.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/bbc-latest | [
"region:us"
] | 2023-12-20T06:23:52+00:00 | {} | 2023-12-20T06:23:57+00:00 | [] | [] | TAGS
#region-us
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# LatestEval for bbc
This benchmark was created with at 2023 week 51 with the latest data from bbc.
check more details at our github page. | [
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522ff90258ff92e6f36d5824f74599faa08149fd |
# LatestEval for bbc
This benchmark was created with at 2023 week 51 with the latest data from bbc.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/bbc-2023-week51 | [
"region:us"
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#region-us
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# LatestEval for bbc
This benchmark was created with at 2023 week 51 with the latest data from bbc.
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c51e0bae7e4cdc5acfdd52c614b0bdac82aca975 |
# LatestEval for github
This benchmark was created with at 2023 week 51 with the latest data from github.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/github-latest | [
"region:us"
] | 2023-12-20T06:24:08+00:00 | {} | 2023-12-20T06:24:14+00:00 | [] | [] | TAGS
#region-us
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# LatestEval for github
This benchmark was created with at 2023 week 51 with the latest data from github.
check more details at our github page. | [
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1f02706b8e097a0e21848d793fbfe4f63a1e8ef7 |
# LatestEval for github
This benchmark was created with at 2023 week 51 with the latest data from github.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/github-2023-week51 | [
"region:us"
] | 2023-12-20T06:24:11+00:00 | {} | 2023-12-20T06:24:15+00:00 | [] | [] | TAGS
#region-us
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# LatestEval for github
This benchmark was created with at 2023 week 51 with the latest data from github.
check more details at our github page. | [
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72d650c224c63b8778a13426eda3edf064a56e6b |
# LatestEval for arxiv
This benchmark was created with at 2023 week 51 with the latest data from arxiv.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/arxiv-latest | [
"region:us"
] | 2023-12-20T06:24:23+00:00 | {} | 2023-12-20T06:24:26+00:00 | [] | [] | TAGS
#region-us
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# LatestEval for arxiv
This benchmark was created with at 2023 week 51 with the latest data from arxiv.
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9abeaed83a23e68a510e6bc7cfd4a46d6e89d251 |
# LatestEval for arxiv
This benchmark was created with at 2023 week 51 with the latest data from arxiv.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/arxiv-2023-week51 | [
"region:us"
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#region-us
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# LatestEval for arxiv
This benchmark was created with at 2023 week 51 with the latest data from arxiv.
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1c6cfb09a58ea367bf2cce7b3fe7075727b4f239 |
# LatestEval for all
This benchmark was created with at 2023 week 51 with the latest data from all.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/full-latest | [
"region:us"
] | 2023-12-20T06:24:27+00:00 | {} | 2023-12-20T06:26:20+00:00 | [] | [] | TAGS
#region-us
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# LatestEval for all
This benchmark was created with at 2023 week 51 with the latest data from all.
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be1c0fcbedb850d237864d43cb1638ad54a2ef99 |
# LatestEval for all
This benchmark was created with at 2023 week 51 with the latest data from all.
check more details at our [github page](https://github.com/liyucheng09/LatestEval). | LatestEval/full-2023-week51 | [
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This benchmark was created with at 2023 week 51 with the latest data from all.
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6d1dc02a2549104cc9cd2828c4b8647e9f994341 |
## 数据集内容说明:
包含700+个阿里云OpenAPI的信息;包括Dataworks,EMR，DataLake，Maxcompute，Hologram,实时计算Flink版，QuickBI,DTS等多个产品的公开Open API信息。
<strong> Functions信息与OpenAI functions calling 能力中，functions信息传入的格式保持一致 </strong>
## 样例
```
{
"systemPrompt": 你是一个函数筛选助理，如果与问题相关的话,您可以使用下面的函数来获取更多数据以回答用户提出的问题:{""name"": ""UpdateTicketNum"", ""desc... | Deepexi/openai-formate-function-calling-small | [
"size_categories:10K<n<100K",
"language:zh",
"license:apache-2.0",
"code",
"region:us"
] | 2023-12-20T06:59:27+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "tags": ["code"]} | 2023-12-20T07:09:31+00:00 | [] | [
"zh"
] | TAGS
#size_categories-10K<n<100K #language-Chinese #license-apache-2.0 #code #region-us
|
## 数据集内容说明:
包含700+个阿里云OpenAPI的信息;包括Dataworks,EMR，DataLake，Maxcompute，Hologram,实时计算Flink版，QuickBI,DTS等多个产品的公开Open API信息。
<strong> Functions信息与OpenAI functions calling 能力中，functions信息传入的格式保持一致 </strong>
## 样例
## 字段
### 数据集用途
- 函数调用理解： 通过分析对话中的函数调用信息，让语言模型更好地理解函数之间的关系，从而提高其代码理解能力。
- 阿里云OpenAPI：基于数据中阿里云OpenAPI的信息，模... | [
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727d66f5d9778d64d8594e8497fa3c518a851d3d |
## Dataset Card for "squad"
This truncated dataset is derived from the Stanford Question Answering Dataset (SQuAD) for reading comprehension. Its primary aim is to extract instances from the original SQuAD dataset that align with the context length of BERT, RoBERTa, OPT, and T5 models.
### Preprocessing and Filterin... | varun-v-rao/squad | [
"task_categories:question-answering",
"region:us"
] | 2023-12-20T07:01:50+00:00 | {"task_categories": ["question-answering"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start... | 2024-02-08T07:44:38+00:00 | [] | [] | TAGS
#task_categories-question-answering #region-us
|
## Dataset Card for "squad"
This truncated dataset is derived from the Stanford Question Answering Dataset (SQuAD) for reading comprehension. Its primary aim is to extract instances from the original SQuAD dataset that align with the context length of BERT, RoBERTa, OPT, and T5 models.
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39fc839c920706ff528ba8b73057dbf704fca743 |
## Dataset Card for "squad"
This truncated dataset is derived from the Stanford Question Answering Dataset (SQuAD) for reading comprehension. Its primary aim is to extract instances from the original SQuAD dataset that align with the context length of BERT, RoBERTa, OPT, and T5 models.
### Preprocessing and Filterin... | varun-v-rao/adversarial_hotpotqa | [
"task_categories:question-answering",
"region:us"
] | 2023-12-20T07:13:44+00:00 | {"task_categories": ["question-answering"], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}], "splits":... | 2024-02-08T07:45:30+00:00 | [] | [] | TAGS
#task_categories-question-answering #region-us
|
## Dataset Card for "squad"
This truncated dataset is derived from the Stanford Question Answering Dataset (SQuAD) for reading comprehension. Its primary aim is to extract instances from the original SQuAD dataset that align with the context length of BERT, RoBERTa, OPT, and T5 models.
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da797e3cce857b112582f2be70abadef0873be63 |
Pre-training dataset used in paper "[From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery](https://arxiv.org/abs/2309.05203)" (AAAI 2024)
PseudoMD-1M dataset is the first artificially-real dataset for cross-modal molecule discovery, which consists of 1,... | SCIR-HI/PseudoMD-1M | [
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"chemistry",
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"medical",
"arxiv:2309.05203",
"region:us"
] | 2023-12-20T08:00:37+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["translation", "text2text-generation"], "tags": ["chemistry", "biology", "medical"]} | 2023-12-20T11:19:29+00:00 | [
"2309.05203"
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"en"
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#task_categories-translation #task_categories-text2text-generation #size_categories-1M<n<10M #language-English #license-apache-2.0 #chemistry #biology #medical #arxiv-2309.05203 #region-us
|
Pre-training dataset used in paper "From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery" (AAAI 2024)
PseudoMD-1M dataset is the first artificially-real dataset for cross-modal molecule discovery, which consists of 1,020,139 pseudo molecule-description ... | [] | [
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] |
773c2a189c53a575fe04b8760b3c224aced4ad8f | # Dataset Card for "translation_hindi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rishabh02/translation_hindi | [
"region:us"
] | 2023-12-20T08:31:56+00:00 | {"dataset_info": {"features": [{"name": "input_text", "dtype": "string"}, {"name": "target_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 556952186, "num_examples": 1659083}], "download_size": 206975053, "dataset_size": 556952186}, "configs": [{"config_name": "default", "data_files": [{"split": "... | 2023-12-20T08:32:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "translation_hindi"
More Information needed | [
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5b41cdb6fba1effea26615d7c78df110694e7c33 |
# Dataset Card for Common Voice Corpus 16
## 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](#dat... | mozilla-foundation/common_voice_16_0 | [
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"... | 2023-12-20T09:01:34+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ab", "af", "am", "ar", "as", "ast", "az", "ba", "bas", "be", "bg", "bn", "br", "ca", "ckb", "cnh", "cs", "cv", "cy", "da", "de", "dv", "dyu", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gl", "gn", "ha"... | 2023-12-21T13:53:03+00:00 | [
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... | TAGS
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# Dataset Card for Common Voice Corpus 16
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
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- Dataset Creation
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5436fc19d05279de68e23ec7c39ed6a5b6a7494e | # squad_newsqa
Concatenating StellarMilk/newsqa dataset with lmqg/qag_squad for asahi417/lm-question-generation | StellarMilk/squad_newsqa | [
"size_categories:10K<n<100K",
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] | 2023-12-20T09:13:40+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/squad_newsqa_train.parquet"}, {"split": "validation", "path": "data/squad_newsqa_valid.parquet"}, {"split": "test", "path": "data/squad_newsqa_test.parquet"}]}]} | 2023-12-20T09:15:05+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #region-us
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f005b8931657101cf1c49c8ae94b63c0428a29d4 |
# Dataset Card for Universal NER v1 in the Aya format - Danish subset
This dataset is a format conversion for the Danish data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their de... | universalner/uner_llm_inst_danish | [
"task_categories:token-classification",
"language:da",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:16:40+00:00 | {"language": ["da"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-21T09:10:59+00:00 | [
"2311.09122"
] | [
"da"
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#task_categories-token-classification #language-Danish #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
|
# Dataset Card for Universal NER v1 in the Aya format - Danish subset
This dataset is a format conversion for the Danish data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their de... | [
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e9cc5044d076f05fda6737e5219c9c3f2598c3dd | # AmazonElectronics_x1
+ **Data format:**
label, user_id, item_id, cate_id, item_history, cate_history
+ **Source:** https://cseweb.ucsd.edu/~jmcauley/datasets.html
+ **Download:** https://huggingface.co/datasets/reczoo/AmazonElectronics_x1/tree/main
+ **Repository:** https://github.com/reczoo/Datasets
+ **Used by... | reczoo/AmazonElectronics_x1 | [
"arxiv:1706.06978",
"arxiv:2306.08808",
"region:us"
] | 2023-12-20T09:22:41+00:00 | {} | 2023-12-23T04:11:24+00:00 | [
"1706.06978",
"2306.08808"
] | [] | TAGS
#arxiv-1706.06978 #arxiv-2306.08808 #region-us
| # AmazonElectronics_x1
+ Data format:
label, user_id, item_id, cate_id, item_history, cate_history
+ Source: URL
+ Download: URL
+ Repository: URL
+ Used by papers:
- Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai. Deep Interest Network for Click-... | [
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bac93c26a2d5cc26734adf542167b76ec3651b43 | # Open-Orca/SlimOrca-Dedup
```
{
"processed": true,
"4keys": true,
"jsonifize": true,
"uploaded": true
}
```
LICENSE FOUND AT: https://huggingface.co/datasetsOpen-Orca/SlimOrca-Dedup
Reformatting generated by [AlignmentLab.AI](https://Alignmentlab.ai) please refer to the original authors work for attri... | jsonifize/SlimOrca-Dedup-jsonify-v2 | [
"source_datasets:Open-Orca/SlimOrca-Dedup",
"language:en",
"jsonifize",
"NLP",
"region:us"
] | 2023-12-20T09:30:08+00:00 | {"language": ["en"], "source_datasets": ["Open-Orca/SlimOrca-Dedup"], "pretty_name": "SlimOrca-Dedup-jsonify-v2", "tags": ["jsonifize", "NLP"], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]}} | 2023-12-22T17:13:47+00:00 | [] | [
"en"
] | TAGS
#source_datasets-Open-Orca/SlimOrca-Dedup #language-English #jsonifize #NLP #region-us
| # Open-Orca/SlimOrca-Dedup
LICENSE FOUND AT: URL
Reformatting generated by AlignmentLab.AI please refer to the original authors work for attribution
## Configurations
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efb718376e952c99d974d9e5d78ba025b151fd3f | ALIGN-BENCH is developed for measuring cross-modal alignment of vision-language models quantitatively.
The code can be found at https://github.com/IIGROUP/SCL.
The core idea is to utilize the cross-attention maps of the last layer in fusion encoder, and compare them with annotated regions corresponding to some words.... | jiyatai/ALIGN-BENCH | [
"region:us"
] | 2023-12-20T09:38:07+00:00 | {} | 2023-12-21T08:00:18+00:00 | [] | [] | TAGS
#region-us
| ALIGN-BENCH is developed for measuring cross-modal alignment of vision-language models quantitatively.
The code can be found at URL
The core idea is to utilize the cross-attention maps of the last layer in fusion encoder, and compare them with annotated regions corresponding to some words.
ALIGN-BENCH can calculate... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
bf6cb2494f699ee2a9ad9f861f7abd52600f506d |
# Dataset Card for Universal NER v1 in the Aya format - German subset
This dataset is a format conversion for the German data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their de... | universalner/uner_llm_inst_german | [
"task_categories:token-classification",
"language:de",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:41:28+00:00 | {"language": ["de"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"], "dataset_info": [{"config_name": "de_pud", "splits": [{"name": "test", "num_examples": 999}]}]} | 2023-12-20T09:43:09+00:00 | [
"2311.09122"
] | [
"de"
] | TAGS
#task_categories-token-classification #language-German #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
|
# Dataset Card for Universal NER v1 in the Aya format - German subset
This dataset is a format conversion for the German data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their de... | [
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2b71b6ac6687ebf99c5e6b8923fa2d6ce33a89b7 |
# Dataset Card for Universal NER v1 in the Aya format - English subset
This dataset is a format conversion for the English data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | universalner/uner_llm_inst_english | [
"task_categories:token-classification",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:43:50+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"], "dataset_info": [{"config_name": "en_pud", "splits": [{"name": "test", "num_examples": 999}]}, {"config_name": "en_ewt", "splits": [{"name": "test", "num_examples": 2076}, {"name": "dev", "num_examples": 2000}, {"name": "train"... | 2023-12-20T09:45:49+00:00 | [
"2311.09122"
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"en"
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#task_categories-token-classification #language-English #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
|
# Dataset Card for Universal NER v1 in the Aya format - English subset
This dataset is a format conversion for the English data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | [
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922f1e990dc003e95eeb9de911562f181d898018 |
# Dataset Card for Universal NER v1 in the Aya format - Croatian subset
This dataset is a format conversion for the Croatian data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and thei... | universalner/uner_llm_inst_croatian | [
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"language:hr",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:47:09+00:00 | {"language": ["hr"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-21T09:10:36+00:00 | [
"2311.09122"
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#task_categories-token-classification #language-Croatian #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
|
# Dataset Card for Universal NER v1 in the Aya format - Croatian subset
This dataset is a format conversion for the Croatian data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and thei... | [
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6325a0f04dcef707d559b45fea4dbf052c86d745 |
# Dataset Card for Universal NER v1 in the Aya format - Portuguese subset
This dataset is a format conversion for the Portuguese data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and ... | universalner/uner_llm_inst_portuguese | [
"task_categories:token-classification",
"language:pt",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:49:30+00:00 | {"language": ["pt"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"], "dataset_info": [{"config_name": "pt_pud", "splits": [{"name": "test", "num_examples": 999}]}, {"config_name": "pt_bosque", "splits": [{"name": "test", "num_examples": 1166}, {"name": "dev", "num_examples": 1171}, {"name": "tra... | 2023-12-20T09:50:54+00:00 | [
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# Dataset Card for Universal NER v1 in the Aya format - Portuguese subset
This dataset is a format conversion for the Portuguese data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and ... | [
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c49c84c41593d00f0cd11b755158d8a26fdf619d |
# Power Line Towers Dataset
The dataset comprises 860 aerial images of power line towers captured by UAVs using RGB cameras. Specifically intended for image classification tasks, each tower in the dataset has been meticulously annotated in YOLO format, offering a valuable resource for training and evaluating computer... | UPNAdroneLab/powerline_towers | [
"size_categories:n<1K",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-20T09:50:24+00:00 | {"license": "cc-by-nc-sa-4.0", "size_categories": ["n<1K"], "pretty_name": "powerline_towers"} | 2023-12-22T13:11:55+00:00 | [] | [] | TAGS
#size_categories-n<1K #license-cc-by-nc-sa-4.0 #region-us
|
# Power Line Towers Dataset
The dataset comprises 860 aerial images of power line towers captured by UAVs using RGB cameras. Specifically intended for image classification tasks, each tower in the dataset has been meticulously annotated in YOLO format, offering a valuable resource for training and evaluating computer... | [
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b56ee3aeb34aebfa6a0bf322a09a2b99c5bff8d8 |
# Dataset Card for Universal NER v1 in the Aya format - Russian subset
This dataset is a format conversion for the Russian data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | universalner/uner_llm_inst_russian | [
"task_categories:token-classification",
"language:ru",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:52:14+00:00 | {"language": ["ru"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"], "dataset_info": [{"config_name": "ru_pud", "splits": [{"name": "test", "num_examples": 999}]}]} | 2023-12-20T09:53:13+00:00 | [
"2311.09122"
] | [
"ru"
] | TAGS
#task_categories-token-classification #language-Russian #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
|
# Dataset Card for Universal NER v1 in the Aya format - Russian subset
This dataset is a format conversion for the Russian data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | [
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65892537e5c6c586f88de98ce98a4cc4bce182f9 |
# Dataset Card for Universal NER v1 in the Aya format - Slovak subset
This dataset is a format conversion for the Slovak data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their de... | universalner/uner_llm_inst_slovak | [
"task_categories:token-classification",
"language:sk",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:53:48+00:00 | {"language": ["sk"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-21T09:09:06+00:00 | [
"2311.09122"
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"sk"
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#task_categories-token-classification #language-Slovak #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
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# Dataset Card for Universal NER v1 in the Aya format - Slovak subset
This dataset is a format conversion for the Slovak data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their de... | [
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ed26df39b6084e46deddf041674328ece11519ab |
# Dataset Card for Universal NER v1 in the Aya format - Serbian subset
This dataset is a format conversion for the Serbian data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | universalner/uner_llm_inst_serbian | [
"task_categories:token-classification",
"language:sr",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:55:54+00:00 | {"language": ["sr"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-21T09:05:32+00:00 | [
"2311.09122"
] | [
"sr"
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#task_categories-token-classification #language-Serbian #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
|
# Dataset Card for Universal NER v1 in the Aya format - Serbian subset
This dataset is a format conversion for the Serbian data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | [
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# Dataset Card for Universal NER v1 in the Aya format - Swedish subset
This dataset is a format conversion for the Swedish data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | universalner/uner_llm_inst_swedish | [
"task_categories:token-classification",
"language:sv",
"license:cc-by-sa-4.0",
"arxiv:2311.09122",
"region:us"
] | 2023-12-20T09:57:42+00:00 | {"language": ["sv"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"], "dataset_info": [{"config_name": "sv_pud", "splits": [{"name": "test", "num_examples": 999}]}, {"config_name": "sv_talbanken", "splits": [{"name": "test", "num_examples": 1218}, {"name": "dev", "num_examples": 503}, {"name": "t... | 2023-12-20T09:59:02+00:00 | [
"2311.09122"
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"sv"
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#task_categories-token-classification #language-Swedish #license-cc-by-sa-4.0 #arxiv-2311.09122 #region-us
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# Dataset Card for Universal NER v1 in the Aya format - Swedish subset
This dataset is a format conversion for the Swedish data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | [
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925c642cf275d427acceffe9208253e8523f292c |
# Dataset Card for SPC: Synthetic-Persona-Chat Dataset
Abstract from the paper introducing this dataset:
> High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a chatbot and its user is through personas, aspects of ... | google/Synthetic-Persona-Chat | [
"task_categories:conversational",
"language:en",
"license:cc-by-4.0",
"synthetic",
"arxiv:2312.10007",
"region:us"
] | 2023-12-20T09:59:14+00:00 | {"language": ["en"], "license": "cc-by-4.0", "task_categories": ["conversational"], "pretty_name": "Synthetic-Persona-Chat Dataset", "tags": ["synthetic"]} | 2023-12-20T15:27:59+00:00 | [
"2312.10007"
] | [
"en"
] | TAGS
#task_categories-conversational #language-English #license-cc-by-4.0 #synthetic #arxiv-2312.10007 #region-us
|
# Dataset Card for SPC: Synthetic-Persona-Chat Dataset
Abstract from the paper introducing this dataset:
> High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a chatbot and its user is through personas, aspects of ... | [
"# Dataset Card for SPC: Synthetic-Persona-Chat Dataset\n\nAbstract from the paper introducing this dataset: \n> High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a chatbot and its user is through personas, aspe... | [
"TAGS\n#task_categories-conversational #language-English #license-cc-by-4.0 #synthetic #arxiv-2312.10007 #region-us \n",
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f8f207c25f3b29abfe6a2d0a3f094b99294ad35c |
# Dataset Card for Universal NER v1 in the Aya format - Tagalog subset
This dataset is a format conversion for the Tagalog data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | universalner/uner_llm_inst_tagalog | [
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# Dataset Card for Universal NER v1 in the Aya format - Tagalog subset
This dataset is a format conversion for the Tagalog data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | [
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49de6329b32807a1471bc48dfea67936b8336791 |
# Dataset Card for Universal NER v1 in the Aya format - Chinese subset
This dataset is a format conversion for the Chinese data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | universalner/uner_llm_inst_chinese | [
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# Dataset Card for Universal NER v1 in the Aya format - Chinese subset
This dataset is a format conversion for the Chinese data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.
The dataset contains different subsets and their ... | [
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d9a2d43a0188a33fa819ff4818cf206c119d3e84 |
# Portuguese-Corpus Instruct (tokenized small)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | nicholasKluge/Pt-Corpus-Instruct-tokenized-small | [
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] | 2023-12-20T10:03:52+00:00 | {"language": ["pt"], "license": "other", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"], "pretty_name": "Pt-Corpus Instruct tokenized small", "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": ... | 2024-02-15T18:09:15+00:00 | [
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# Portuguese-Corpus Instruct (tokenized small)
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Additional Information
- Dataset Curators
- Citation Information
- Contributions
## Dataset D... | [
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6541bdfa4b1618927d680685e7139a210153bc4b | # Dataset Card for "alpaca_format3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | harshithvh/alpaca_format3 | [
"region:us"
] | 2023-12-20T10:06:38+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 439554, "num_examples": 254}], "download_size": 81615, "dataset_size": 439554}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-20T10:08:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alpaca_format3"
More Information needed | [
"# Dataset Card for \"alpaca_format3\"\n\nMore Information needed"
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13b86c2d474cb95f1167450371540f1b15a9ab31 |
# BEE-spoke-data/falcon-refinedweb-100k_en_med-sample
A sample from [falcon-refinedweb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb):
- more than 512 & less than 8192 llama2 tokens
- `en` only (via fasttext-langdetect)
- 100k samples | BEE-spoke-data/falcon-refinedweb-100k_en_med-sample | [
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] | 2023-12-20T10:07:09+00:00 | {"language": ["en"], "license": "odc-by", "size_categories": ["10K<n<100K"], "source_datasets": "tiiuae/falcon-refinedweb", "task_categories": ["text-generation"], "dataset_info": [{"config_name": "default", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 485240640, "num_exa... | 2024-02-05T00:20:53+00:00 | [] | [
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|
# BEE-spoke-data/falcon-refinedweb-100k_en_med-sample
A sample from falcon-refinedweb:
- more than 512 & less than 8192 llama2 tokens
- 'en' only (via fasttext-langdetect)
- 100k samples | [
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9721f25cb1c5b36a0090b8fee95d528645fa153b | # Dataset Card for "nvidia_helpsteer_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/nvidia_helpsteer_binarized | [
"region:us"
] | 2023-12-20T10:43:53+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 106899146, "num_examples": 35331}, {"name": "validation", "num_bytes": 5537881, "num_examples": 1789}], "download_size": 23814863, "datas... | 2023-12-20T10:44:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nvidia_helpsteer_binarized"
More Information needed | [
"# Dataset Card for \"nvidia_helpsteer_binarized\"\n\nMore Information needed"
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380a8aadee34e3e6e37649fb9e372cb0348dc68f | # Dataset Card for "astramindai_nectar_sft_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/astramindai_nectar_sft_binarized | [
"region:us"
] | 2023-12-20T10:58:07+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 217467579.87271437, "num_examples": 118080}, {"name": "test", "num_bytes": 24164906.127285615, "num_examples": 13121}], "download_size": ... | 2023-12-20T13:56:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "astramindai_nectar_sft_binarized"
More Information needed | [
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64dc03006442cf28b5ba2bd744cb79095e696cf8 | # Dataset Card for "h4_no_robots_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/h4_no_robots_binarized | [
"region:us"
] | 2023-12-20T11:00:11+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 12000998, "num_examples": 9500}, {"name": "test", "num_bytes": 641760, "num_examples": 500}], "download_size": 7765070, "dataset_size": 1... | 2024-01-09T03:50:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "h4_no_robots_binarized"
More Information needed | [
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96cecd0bc8f35eec54f8760a4f0bca7a2506b0a5 | # Dataset Card for "oasst_top1_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/oasst_top1_binarized | [
"region:us"
] | 2023-12-20T11:04:08+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 22467998, "num_examples": 12947}, {"name": "test", "num_bytes": 1180656, "num_examples": 690}], "download_size": 13716246, "dataset_size"... | 2023-12-20T11:04:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oasst_top1_binarized"
More Information needed | [
"# Dataset Card for \"oasst_top1_binarized\"\n\nMore Information needed"
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f20bac990a25bcf20b22d9ce19a8243b03699f32 | # Dataset Card for "multiturn_with_generations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dvilasuero/multiturn_with_generations | [
"region:us"
] | 2023-12-20T11:22:21+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "chosen-rating", "dtype": "float64"}, {"name": "chosen-model", "dtype": "string"}, {"name": "re... | 2023-12-20T11:22:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "multiturn_with_generations"
More Information needed | [
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1257571d3ae21509282a69a0e34d85cb6d85b594 |
# TACO Dataset
<img src="https://cdn-uploads.huggingface.co/production/uploads/6335113375bed9932474315e/rMxdXcC56S3FEh37oRa2s.png" width="200" height="200">
[TACO](https://github.com/FlagOpen/TACO) is a benchmark for code generation with 26443 problems. It can be used to evaluate the ability of language models to ge... | BAAI/TACO | [
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] | 2023-12-20T11:27:47+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "paperswithcode_... | 2024-01-15T04:13:20+00:00 | [
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| TACO Dataset
============
<img src="URL width="200" height="200">
TACO is a benchmark for code generation with 26443 problems. It can be used to evaluate the ability of language models to generate code from natural language specifications.
Dataset Description
-------------------
* Repository: URL
* Paper: TACO:... | [
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44a4f4766b68f7e3db6e316680d54dd1bff628bf | # 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... | haris001/jsoncodes | [
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9ff952bb5e1099dc4705173ad57aabb4ad885137 |
# Dataset Card for NTX v1 in the Aya format
This dataset is a format conversion from its original v1 format into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license and conditions.
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"arxiv:230... | 2023-12-20T12:12:39+00:00 | {"language": ["ar", "de", "en", "es", "fr", "hi", "it", "ja", "ko", "nl", "pt", "sv", "tr", "zh"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T14:58:24+00:00 | [
"2303.18103"
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# Dataset Card for NTX v1 in the Aya format
This dataset is a format conversion from its original v1 format into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license and conditions.
It contains data in multiple languages and this version is intended for multi-lingual LLM construction/tuni... | [
"# Dataset Card for NTX v1 in the Aya format\n\nThis dataset is a format conversion from its original v1 format into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license and conditions.\n\nIt contains data in multiple languages and this version is intended for multi-lingual LLM construct... | [
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0950979108b301f907ded78b34ebba29f5ca4d10 |
# IOS App Icons
## Overview
This dataset contains images and captions of iOS app icons obtained from the iOS Icon Gallery. Each image is paired with a generated caption using a Blip Image Captioning model. The dataset is suitable for image captioning tasks and can be used to train and evaluate models for generating ... | ppierzc/ios-app-icons | [
"license:openrail",
"image-captioning",
"ios-icons",
"region:us"
] | 2023-12-20T12:46:16+00:00 | {"license": "openrail", "id": "ios-app-icons", "title": "IOS App Icons", "description": "This dataset contains images and captions of iOS app icons collected from the iOS Icon Gallery. The images have been processed using a Blip Image Captioning model to generate captions.\n", "tasks": ["image-captioning"], "tags": ["i... | 2023-12-21T11:46:46+00:00 | [] | [] | TAGS
#license-openrail #image-captioning #ios-icons #region-us
|
# IOS App Icons
## Overview
This dataset contains images and captions of iOS app icons obtained from the iOS Icon Gallery. Each image is paired with a generated caption using a Blip Image Captioning model. The dataset is suitable for image captioning tasks and can be used to train and evaluate models for generating ... | [
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49272bca87d93431e9da11d7854b222bc9cd49a1 | # Dataset Card for "guanaco-llama2-200"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juosilva/guanaco-llama2-200 | [
"region:us"
] | 2023-12-20T12:59:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 338808, "num_examples": 200}], "download_size": 201258, "dataset_size": 338808}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-20T12:59:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "guanaco-llama2-200"
More Information needed | [
"# Dataset Card for \"guanaco-llama2-200\"\n\nMore Information needed"
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7b3b5bc3a107c4d7586d4f3dc86fb723509d2bd0 | # Dataset Card for "common_voice_15_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | macabdul9/common_voice_15_0 | [
"region:us"
] | 2023-12-20T13:21:51+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}, {"split": "other", "path": "data/other-*"}, {"split": "invalidated", "path": "data/invalidated-*"}]}], "dataset_info": {"feat... | 2023-12-20T13:25:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "common_voice_15_0"
More Information needed | [
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3bfbb746cbc6751f2eae58725638e28be743927d |
# BEE-spoke-data/falcon-refinedweb-100k_en-long
A sample from [falcon-refinedweb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb):
- more than 2048 & less than 16384 gpt4 tiktoken tokens
- `en` only (via fasttext-langdetect)
- 100k samples
| BEE-spoke-data/falcon-refinedweb-100k_en-long | [
"task_categories:text-generation",
"source_datasets:tiiuae/falcon-refinedweb",
"language:en",
"license:odc-by",
"region:us"
] | 2023-12-20T13:40:35+00:00 | {"language": ["en"], "license": "odc-by", "source_datasets": "tiiuae/falcon-refinedweb", "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1748631587.0, "num_examples": 100000}], "download_size": 1035546649, "dataset_siz... | 2023-12-20T16:54:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #source_datasets-tiiuae/falcon-refinedweb #language-English #license-odc-by #region-us
|
# BEE-spoke-data/falcon-refinedweb-100k_en-long
A sample from falcon-refinedweb:
- more than 2048 & less than 16384 gpt4 tiktoken tokens
- 'en' only (via fasttext-langdetect)
- 100k samples
| [
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49a8baa14f1eaeaa3afa1b4bf1b9ba37a883e7cf |
# 🏟️ Long Code Arena (CI Fixing)
> 🛠️ CI Fixing: given logs of a failed GitHub Actions workflow and the corresponding repository shapshot, fix the
> repository contents in order to make the workflow pass.
This is the benchmark for **CI Fixing** task as part of
🏟️ [**Long Code Arena** benchmark](https://huggingfac... | JetBrains-Research/lca-ci-fixing | [
"region:us"
] | 2023-12-20T13:40:41+00:00 | {"configs": [{"config_name": "python", "data_files": [{"split": "test", "path": "data/python/*.json"}]}]} | 2024-01-29T14:02:10+00:00 | [] | [] | TAGS
#region-us
| ️ Long Code Arena (CI Fixing)
=============================
>
> ️ CI Fixing: given logs of a failed GitHub Actions workflow and the corresponding repository shapshot, fix the
> repository contents in order to make the workflow pass.
>
>
>
This is the benchmark for CI Fixing task as part of
️ Long Code Arena be... | [
"### Datapoint Schema\n\n\nEach example has the following fields:",
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"passage: TAGS\n#region-us \n### Datapoint Schema\n\n\nEach example has the following fields:### Datapoint Example"
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cab5f61d4323c1cad4345c823afb3406898cd120 | # Dataset Card for "autotrain-data-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | A2H0H0R1/autotrain-data-test | [
"region:us"
] | 2023-12-20T13:59:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "autotrain_image", "dtype": "image"}, {"name": "autotrain_label", "dtype": {"class_label": {"names": {"0": "cats", "1": "dogs... | 2023-12-20T14:00:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-test"
More Information needed | [
"# Dataset Card for \"autotrain-data-test\"\n\nMore Information needed"
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34d6f9cd7087481724e0937064f0a64ee572473d | # Dataset Card for "nectar_sft_binarized_subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jan-hq/nectar_sft_binarized_subset | [
"region:us"
] | 2023-12-20T14:03:21+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_by... | 2023-12-20T14:06:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nectar_sft_binarized_subset"
More Information needed | [
"# Dataset Card for \"nectar_sft_binarized_subset\"\n\nMore Information needed"
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ea07843ad31373238f19110876cd0744db1f6e19 | Using SeamlessM4T to translate FiQA to portuguese. | leonardo-avila/fiqa_pt | [
"language:pt",
"license:apache-2.0",
"region:us"
] | 2023-12-20T14:05:55+00:00 | {"language": ["pt"], "license": "apache-2.0"} | 2023-12-20T20:45:17+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #license-apache-2.0 #region-us
| Using SeamlessM4T to translate FiQA to portuguese. | [] | [
"TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
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20
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dc8176b6e21f5ea21cc419662d122ed0aa0cc654 |
# HotpotQA Dataset with GPT-3.5 Generated Questions
## Overview
This repository hosts an enhanced version of the HotpotQA dataset, where each supporting sentence in the dataset has been supplemented with questions generated using OpenAI's GPT-3.5 turbo API. The aim is to provide a richer context for each entry, pote... | scholarly-shadows-syndicate/hotpotqa_with_qa_gpt35 | [
"license:apache-2.0",
"region:us"
] | 2023-12-20T14:44:42+00:00 | {"license": "apache-2.0"} | 2024-01-12T15:50:05+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# HotpotQA Dataset with GPT-3.5 Generated Questions
## Overview
This repository hosts an enhanced version of the HotpotQA dataset, where each supporting sentence in the dataset has been supplemented with questions generated using OpenAI's GPT-3.5 turbo API. The aim is to provide a richer context for each entry, pote... | [
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8be781b7c9f252a99a57a405d92770ce8e0c943e |
# Dataset Card for NTX v1 in the Aya format - Arabic subset
This dataset is a format conversion for the Arabic data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | tellarin-ai/ntx_llm_inst_arabic | [
"task_categories:token-classification",
"language:ar",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T14:59:57+00:00 | {"language": ["ar"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:06:17+00:00 | [
"2303.18103"
] | [
"ar"
] | TAGS
#task_categories-token-classification #language-Arabic #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Arabic subset
This dataset is a format conversion for the Arabic data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | [
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