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40c19fb2b6e9f54fcdf0ad87c6266b1957b3b11b | # Dataset Card for "autotrain-data-3s6z-irs5-wkvn"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | healthcorum/autotrain-data-3s6z-irs5-wkvn | [
"region:us"
] | 2023-11-30T14:40:44+00:00 | {"dataset_info": {"features": [{"name": "autotrain_text", "dtype": "string"}, {"name": "autotrain_label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28804645, "num_examples": 7998}, {"name": "validation", "num_bytes": 7203538, "num_examples": 2000}], "download_size": 5982807, "dataset_size": 3600818... | 2023-11-30T14:40:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-3s6z-irs5-wkvn"
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f7a6939ca8fedcc89f35c513f10321ea5994f738 | # Dataset Card for MuST-SHE_en-ca
## Dataset Description
### Dataset Summary
MuST-SHE_en-ca is an English-Catalan evaluation dataset of **1.046** samples, created to support evaluation of Catalan NLP tasks,
e.g., Gender Bias detection in Machine Translation. This dataset is derived from MuST-SHE English-Spanish, cre... | projecte-aina/MuST-SHE_en-ca | [
"license:cc",
"region:us"
] | 2023-11-30T14:49:51+00:00 | {"license": "cc"} | 2024-01-17T13:53:30+00:00 | [] | [] | TAGS
#license-cc #region-us
| # Dataset Card for MuST-SHE_en-ca
## Dataset Description
### Dataset Summary
MuST-SHE_en-ca is an English-Catalan evaluation dataset of 1.046 samples, created to support evaluation of Catalan NLP tasks,
e.g., Gender Bias detection in Machine Translation. This dataset is derived from MuST-SHE English-Spanish, created... | [
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ad41ed8dce723a9dab4b6e495b1a3a4ab8fd04c9 | # Dataset Card for "processed_t5_small_context_len_512"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yardeny/processed_t5_small_context_len_512 | [
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f19a64dbe45a354c0399d98ac181ccfbb747cbed |
# Dataset Card for CA-EN Parallel Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Splits](#data-instances)
- [Datas... | projecte-aina/CA-EN_Parallel_Corpus | [
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# Dataset Card for CA-EN Parallel Corpus
## Table of Contents
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f40167f165b59d624dbe9afb050b665256336b3a | # Trelis Function Calling Dataset - VERSION 3
Access this dataset by purchasing a license [HERE](https://buy.stripe.com/eVa28U6xTeqfcV25li).
- Allows models to be fine-tuned for function-calling.
- The dataset is human generated and does not make use of Llama 2 or OpenAI!
- The dataset includes 66 training rows, 19 va... | Trelis/function_calling_v3 | [
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| # Trelis Function Calling Dataset - VERSION 3
Access this dataset by purchasing a license HERE.
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432df097c29af7199ed5653fbd0739edf1c3acbc |
ARBRES-Kenstur
==============
ARBRES-Kenstur is a Breton-French parallel corpora generated by extracting the French translations of Breton sentences from the interlinear [glosses](https://en.wikipedia.org/wiki/Interlinear_gloss) of the [ARBRES](https://arbres.iker.cnrs.fr) wikigrammar.
The extraction is still under... | lgrobol/ARBRES-Kenstur | [
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ARBRES-Kenstur
==============
ARBRES-Kenstur is a Breton-French parallel corpora generated by extracting the French translations of Breton sentences from the interlinear glosses of the ARBRES wikigrammar.
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4d3f0b666754a46551ed82c0cd33945151c25f25 | # Dataset Card for "mnli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | veluribharath/mnli | [
"region:us"
] | 2023-11-30T15:43:56+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 76190454, "num... | 2023-11-30T15:48:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnli"
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d65a682068a5aaf2416b01d2bcd40946181262e0 | # Dataset Card for "AdjectiveScaleProbe-nli"
```bib
@inproceedings{10.1609/aaai.v37i11.26559,
author = {Liu, Wei and Xiang, Ming and Ding, Nai},
title = {Adjective Scale Probe: Can Language Models Encode Formal Semantics Information?},
year = {2023},
isbn = {978-1-57735-880-0},
publisher = {AAAI Press},
url = {https:/... | tasksource/AdjectiveScaleProbe-nli | [
"region:us"
] | 2023-11-30T15:57:22+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": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": ... | 2023-12-05T10:23:12+00:00 | [] | [] | TAGS
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7717a57cfe209f334351de66c683d0b088fb715b | # Data Engineer: Take home project
## Introduction
The goal of this project is to evaluate your knowledge and skills in the design and implementation of a scalable data pre-processing pipeline.
## Problem statement
- Reads audio data being populated by Metavoice product, `Studio`, into a CloudFlare R2 bucket
- Runs ... | FlorianD/metavoice | [
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#region-us
| # Data Engineer: Take home project
## Introduction
The goal of this project is to evaluate your knowledge and skills in the design and implementation of a scalable data pre-processing pipeline.
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e70430b058de2a294b7e507aa27e4c0298708341 |
# Dataset Card for "DrugsCom Reviews"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-in... | Zakia/drugscom_reviews | [
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"patien... | 2023-11-30T16:29:12+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_n... | 2023-12-11T16:21:20+00:00 | [] | [
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# Dataset Card for "DrugsCom Reviews"
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bccadcf308dc5496690d2ed1bd0572cd5c3fbccc | # Dataset Card for "autotrain-data-reformatted_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | healthcorum/autotrain-data-reformatted_test | [
"region:us"
] | 2023-11-30T17:07:12+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "autotrain_text", "dtype": "string"}, {"name": "autotrain_label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9500675, "num_examples": 7998}, {"name": "validation", "num_bytes": 2375962, "num_examples": 2000}], "downloa... | 2023-11-30T17:07:18+00:00 | [] | [] | TAGS
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c2f2198de175b11cad71d4fd934832c4ee531377 | # No Prompt
This is a dataset created to test language models on generating high-quality, useful text without prompt formatting. This works by simply removing the formatting from the dataset to be used, be it guanaco, openassistant, etc... | appvoid/no-prompt-15k | [
"region:us"
] | 2023-11-30T17:16:57+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37820576, "num_examples": 15000}], "download_size": 20067913, "dataset_size": 37820576},... | 2023-12-05T13:05:08+00:00 | [] | [] | TAGS
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6883c8820fd21a4af731118b2e0b3d293e439d77 |
# Dataset Card for Dataset Name
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## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... | siqideng/proposal_drafter_feedback | [
"region:us"
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"passage: TAGS\n#region-us \n# Dataset Card for Dataset Name## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses#... |
1366e3fc86adf8b30b7cac109905dc3fcb0026e0 | # Dataset Card for "elephants_512"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mespinosami/elephants_512 | [
"region:us"
] | 2023-11-30T17:23:23+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 845894902.629, "num_examples": 9023}], "download_size": 840684586, "dataset_size": 845894902.629}} | 2023-11-30T17:27:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "elephants_512"
More Information needed | [
"# Dataset Card for \"elephants_512\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"elephants_512\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"elephants_512\"\n\nMore Information needed"
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6ee48a7406956528f495084bcc643bbe7eae49ab |
# Bangumi Image Base of Akatsuki No Yona
This is the image base of bangumi Akatsuki no Yona, we detected 41 characters, 3412 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train mo... | BangumiBase/akatsukinoyona | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-30T17:36:17+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-30T19:21:29+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Akatsuki No Yona
======================================
This is the image base of bangumi Akatsuki no Yona, we detected 41 characters, 3412 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you inte... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
2cff1bd59cfb92093cb403286fe6f344eb097bf6 |
# Bangumi Image Base of Mairimashita! Iruma-kun
This is the image base of bangumi Mairimashita! Iruma-kun, we detected 94 characters, 8676 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to man... | BangumiBase/mairimashitairumakun | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-30T17:37:20+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-30T21:44:09+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Mairimashita! Iruma-kun
=============================================
This is the image base of bangumi Mairimashita! Iruma-kun, we detected 94 characters, 8676 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be nois... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
c2431e4ded6507a753a94574f8157915ec791dbe | # [doc] image dataset 2
This dataset contains 4 jpeg files in the images/ subdirectory. | datasets-examples/doc-image-2 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T17:41:37+00:00 | {"size_categories": ["n<1K"]} | 2023-11-30T17:43:22+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 2
This dataset contains 4 jpeg files in the images/ subdirectory. | [
"# [doc] image dataset 2\n\nThis dataset contains 4 jpeg files in the images/ subdirectory."
] | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# [doc] image dataset 2\n\nThis dataset contains 4 jpeg files in the images/ subdirectory."
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16,
25
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"passage: TAGS\n#size_categories-n<1K #region-us \n# [doc] image dataset 2\n\nThis dataset contains 4 jpeg files in the images/ subdirectory."
] |
efdc57f60bd53acf991b7ae01138ca1a4221e25f | # [doc] image dataset 3
This dataset contains 4 image files with different formats in the images/ subdirectory. | datasets-examples/doc-image-3 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T17:45:50+00:00 | {"size_categories": ["n<1K"]} | 2023-11-30T17:47:28+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 3
This dataset contains 4 image files with different formats in the images/ subdirectory. | [
"# [doc] image dataset 3\n\nThis dataset contains 4 image files with different formats in the images/ subdirectory."
] | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# [doc] image dataset 3\n\nThis dataset contains 4 image files with different formats in the images/ subdirectory."
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16,
28
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"passage: TAGS\n#size_categories-n<1K #region-us \n# [doc] image dataset 3\n\nThis dataset contains 4 image files with different formats in the images/ subdirectory."
] |
04a61ed6f5ef2680e309838d6a6fc5e4f3c8cc79 | # [doc] image dataset 4
This dataset contains 4 jpeg files in the `train/` subdirectory, along with a `metadata.csv` file that provides the data for other columns. | datasets-examples/doc-image-4 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T17:50:03+00:00 | {"size_categories": ["n<1K"]} | 2024-01-05T18:18:38+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 4
This dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns. | [
"# [doc] image dataset 4\n\nThis dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns."
] | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# [doc] image dataset 4\n\nThis dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns."
] | [
16,
45
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"passage: TAGS\n#size_categories-n<1K #region-us \n# [doc] image dataset 4\n\nThis dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns."
] |
f955e04f6d13c367a711a0a07571a856cb1077fb | # Dataset Card for "hubert_layer9-librispeech-asr100h_tokenized_final_asr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cmu-mlsp/hubert_layer9-librispeech-asr100h_tokenized_final_asr | [
"region:us"
] | 2023-11-30T17:50:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "validation_tts", "path": "data/validation_tts-*"}, {"split": "test", "path": "data/test-*"}, {"split": "test_tts", "path": "data/test_tts-*"}]}], "dataset_i... | 2023-11-30T17:50:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hubert_layer9-librispeech-asr100h_tokenized_final_asr"
More Information needed | [
"# Dataset Card for \"hubert_layer9-librispeech-asr100h_tokenized_final_asr\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hubert_layer9-librispeech-asr100h_tokenized_final_asr\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"hubert_layer9-librispeech-asr100h_tokenized_final_asr\"\n\nMore Information needed"
] |
4d9ad2e222331d4a12d12fa6ef6387015c6a8c73 | # [doc] image dataset 5
This dataset contains 4 jpeg files in the `train/` subdirectory, along with a `metadata.jsonl` file that provides the data for other columns. | datasets-examples/doc-image-5 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T17:53:58+00:00 | {"size_categories": ["n<1K"]} | 2024-01-05T18:18:55+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 5
This dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns. | [
"# [doc] image dataset 5\n\nThis dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns."
] | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# [doc] image dataset 5\n\nThis dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns."
] | [
16,
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"passage: TAGS\n#size_categories-n<1K #region-us \n# [doc] image dataset 5\n\nThis dataset contains 4 jpeg files in the 'train/' subdirectory, along with a 'URL' file that provides the data for other columns."
] |
a62590f822434131aaa7aaeaee2f39304427b842 | # Dataset Card for "biosift"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AshtonIsNotHere/biosift | [
"region:us"
] | 2023-11-30T17:59:53+00:00 | {"dataset_info": {"features": [{"name": "PMID", "dtype": "int64"}, {"name": "Title", "dtype": "string"}, {"name": "Abstract", "dtype": "string"}, {"name": "Split", "dtype": "string"}, {"name": "Number of Annotators", "dtype": "int64"}, {"name": "Aggregate", "dtype": "int64"}, {"name": "Has Human Subjects", "dtype": "fl... | 2023-11-30T18:00:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "biosift"
More Information needed | [
"# Dataset Card for \"biosift\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"biosift\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"biosift\"\n\nMore Information needed"
] |
5a6e5b8f6e0bdbb3353962903d3115c2463a78f9 | # Dataset Card for "openai_summarize_comparisons_tldrprompt_relabel1b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mnoukhov/openai_summarize_comparisons_tldrprompt_relabel1b | [
"region:us"
] | 2023-11-30T18:14:46+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": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train... | 2023-12-02T22:00:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openai_summarize_comparisons_tldrprompt_relabel1b"
More Information needed | [
"# Dataset Card for \"openai_summarize_comparisons_tldrprompt_relabel1b\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"openai_summarize_comparisons_tldrprompt_relabel1b\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"openai_summarize_comparisons_tldrprompt_relabel1b\"\n\nMore Information needed"
] |
ec03afeacb2c01bcc85c09ed33d9e03b386a2685 | # Dataset Card for "ultrafeedback_binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rajammanabrolu/ultrafeedback_binarized | [
"region:us"
] | 2023-11-30T18:23:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_prefs", "path": "data/train_prefs-*"}, {"split": "train_sft", "path": "data/train_sft-*"}, {"split": "test_prefs", "path": "data/test_prefs-*"}, {"split": "test_sft", "path": "data/test_sft-*"}, {"split": "train_gen", "path": "data/train_gen-*"}, {... | 2023-11-30T18:23:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrafeedback_binarized"
More Information needed | [
"# Dataset Card for \"ultrafeedback_binarized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ultrafeedback_binarized\"\n\nMore Information needed"
] | [
6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"ultrafeedback_binarized\"\n\nMore Information needed"
] |
d86b0e366f0f4d4ec4df273e43d28015289ca0d8 | # Dataset Card for "ukioye_editing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tianyi0216/ukioye_editing | [
"region:us"
] | 2023-11-30T18:23:46+00:00 | {"dataset_info": {"features": [{"name": "source_img", "dtype": "image"}, {"name": "instruction", "dtype": "string"}, {"name": "target_img", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 447007253.829, "num_examples": 1989}], "download_size": 446312410, "dataset_size": 447007253.829}} | 2023-12-01T01:10:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ukioye_editing"
More Information needed | [
"# Dataset Card for \"ukioye_editing\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ukioye_editing\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"ukioye_editing\"\n\nMore Information needed"
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d3621480d0523d10966db3d64671dca546a3c7a5 |
# Dataset Card for Hugging Face Hub Model Cards with Embeddings
This dataset consists of [model cards](https://huggingface.co/docs/hub/model-cards) for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and... | librarian-bots/model_cards_with_metadata_with_embeddings | [
"task_categories:text-retrieval",
"size_categories:100K<n<1M",
"region:us"
] | 2023-11-30T18:37:44+00:00 | {"size_categories": ["100K<n<1M"], "task_categories": ["text-retrieval"], "pretty_name": "Model Card", "dataset_info": {"features": [{"name": "modelId", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "last_modified", "dtype": "timestamp[us, tz=UTC]"}, {"name": "downloads", "dtype": "int64"}, {"name... | 2023-12-18T10:15:58+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #size_categories-100K<n<1M #region-us
|
# Dataset Card for Hugging Face Hub Model Cards with Embeddings
This dataset consists of model cards for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and more.
This dataset is updated on a daily basi... | [
"# Dataset Card for Hugging Face Hub Model Cards with Embeddings\n\nThis dataset consists of model cards for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and more. \nThis dataset is updated on a daily... | [
"TAGS\n#task_categories-text-retrieval #size_categories-100K<n<1M #region-us \n",
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53fe4ea127b2c6921d8c09306933f4ff52dba1d4 | # [doc] image dataset 7
This dataset contains 2 jpeg files in the `red` directory and 2 jpeg files in the `green` directory. | datasets-examples/doc-image-7 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T18:43:07+00:00 | {"size_categories": ["n<1K"]} | 2023-11-30T19:33:26+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 7
This dataset contains 2 jpeg files in the 'red' directory and 2 jpeg files in the 'green' directory. | [
"# [doc] image dataset 7\n\nThis dataset contains 2 jpeg files in the 'red' directory and 2 jpeg files in the 'green' directory."
] | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# [doc] image dataset 7\n\nThis dataset contains 2 jpeg files in the 'red' directory and 2 jpeg files in the 'green' directory."
] | [
16,
37
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"passage: TAGS\n#size_categories-n<1K #region-us \n# [doc] image dataset 7\n\nThis dataset contains 2 jpeg files in the 'red' directory and 2 jpeg files in the 'green' directory."
] |
3fd60c5b7b1ba1a4186edd88b078a4ad20647949 | # [doc] image dataset 6
This dataset contains 4 jpeg files in the `train/images/` subdirectory, along with a `train/metadata.csv` file that provides the data for other columns. The metadata file contains relative paths to the images. | datasets-examples/doc-image-6 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T18:43:40+00:00 | {"size_categories": ["n<1K"]} | 2024-01-05T18:19:12+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 6
This dataset contains 4 jpeg files in the 'train/images/' subdirectory, along with a 'train/URL' file that provides the data for other columns. The metadata file contains relative paths to the images. | [
"# [doc] image dataset 6\n\nThis dataset contains 4 jpeg files in the 'train/images/' subdirectory, along with a 'train/URL' file that provides the data for other columns. The metadata file contains relative paths to the images."
] | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# [doc] image dataset 6\n\nThis dataset contains 4 jpeg files in the 'train/images/' subdirectory, along with a 'train/URL' file that provides the data for other columns. The metadata file contains relative paths to the images."
] | [
16,
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"passage: TAGS\n#size_categories-n<1K #region-us \n# [doc] image dataset 6\n\nThis dataset contains 4 jpeg files in the 'train/images/' subdirectory, along with a 'train/URL' file that provides the data for other columns. The metadata file contains relative paths to the images."
] |
96b4a56c8073dcc8b6e36b5b631dfad60426334a |
# Dataset Summary
This dataset contains all MQM human annotations from previous [WMT Metrics shared tasks](https://wmt-metrics-task.github.io/) and the MQM annotations from [Experts, Errors, and Context](https://aclanthology.org/2021.tacl-1.87/) in a form of error spans. Moreover, it contains some hallucinations used... | RicardoRei/wmt-mqm-error-spans | [
"size_categories:100K<n<1M",
"language:en",
"language:de",
"language:ru",
"language:zh",
"license:apache-2.0",
"mt-evaluation",
"WMT",
"MQM",
"arxiv:2310.10482",
"region:us"
] | 2023-11-30T18:55:52+00:00 | {"language": ["en", "de", "ru", "zh"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "tags": ["mt-evaluation", "WMT", "MQM"]} | 2023-11-30T19:14:18+00:00 | [
"2310.10482"
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"en",
"de",
"ru",
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#size_categories-100K<n<1M #language-English #language-German #language-Russian #language-Chinese #license-apache-2.0 #mt-evaluation #WMT #MQM #arxiv-2310.10482 #region-us
|
# Dataset Summary
This dataset contains all MQM human annotations from previous WMT Metrics shared tasks and the MQM annotations from Experts, Errors, and Context in a form of error spans. Moreover, it contains some hallucinations used in the training of XCOMET models.
Please note that this is not an official releas... | [
"# Dataset Summary\n\nThis dataset contains all MQM human annotations from previous WMT Metrics shared tasks and the MQM annotations from Experts, Errors, and Context in a form of error spans. Moreover, it contains some hallucinations used in the training of XCOMET models.\n\nPlease note that this is not an officia... | [
"TAGS\n#size_categories-100K<n<1M #language-English #language-German #language-Russian #language-Chinese #license-apache-2.0 #mt-evaluation #WMT #MQM #arxiv-2310.10482 #region-us \n",
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c6a1667cbee43be6e4322f3c06a16af7fb662ef8 | # Dataset Card for "emrqa_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/emrqa_train | [
"region:us"
] | 2023-11-30T19:03:35+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 156916965, "num_examples": 152907}, {"name": "valid", "num_byt... | 2024-01-07T04:19:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emrqa_train"
More Information needed | [
"# Dataset Card for \"emrqa_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emrqa_train\"\n\nMore Information needed"
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6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emrqa_train\"\n\nMore Information needed"
] |
a6aae301b9f0d102832b388617fe3480bad80bd8 | # MiniMuSiQue by Morph Labs

**https://morph.so/blog/self-teaching/**
We describe two evaluation datasets that we have derived from the MuSiQue multi-hop question-answering dataset, called MiniMuSiQue-hard (filtered for questions... | morph-labs/MiniMuSiQue | [
"language:en",
"license:apache-2.0",
"arxiv:2108.00573",
"region:us"
] | 2023-11-30T19:05:12+00:00 | {"language": ["en"], "license": "apache-2.0"} | 2023-12-05T21:14:24+00:00 | [
"2108.00573"
] | [
"en"
] | TAGS
#language-English #license-apache-2.0 #arxiv-2108.00573 #region-us
| # MiniMuSiQue by Morph Labs
!banner
URL
We describe two evaluation datasets that we have derived from the MuSiQue multi-hop question-answering dataset, called MiniMuSiQue-hard (filtered for questions answerable by GPT-4 but not GPT-3.5, where performance significantly degrades if the first pivot document is removed)... | [
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800ab9c2a052a56a7ecd796e26c888ab8dce6e03 |
# Bangumi Image Base of Full Metal Panic Fumoffu
This is the image base of bangumi Full Metal Panic Fumoffu, we detected 22 characters, 1168 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to m... | BangumiBase/fullmetalpanicfumoffu | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-30T19:22:16+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-30T19:56:58+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Full Metal Panic Fumoffu
==============================================
This is the image base of bangumi Full Metal Panic Fumoffu, we detected 22 characters, 1168 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be n... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
a7012e6a58dbb8bf51844400013645191f47ec92 |
# Bangumi Image Base of The Twelve Kingdoms
This is the image base of bangumi The Twelve Kingdoms, we detected 62 characters, 4697 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually tr... | BangumiBase/thetwelvekingdoms | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-30T19:23:01+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-30T21:42:54+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of The Twelve Kingdoms
=========================================
This is the image base of bangumi The Twelve Kingdoms, we detected 62 characters, 4697 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
cf9b1bdb421f966b7b6fd372f56fad4b6b805e0f | # Dataset Card for "cai-conversation-prod-h4-harmless"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/cai-conversation-prod-h4-harmless | [
"region:us"
] | 2023-11-30T19:30:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "data/train_sft-*"}, {"split": "test_sft", "path": "data/test_sft-*"}, {"split": "train_prefs", "path": "data/train_prefs-*"}, {"split": "test_prefs", "path": "data/test_prefs-*"}]}], "dataset_info": {"features": [{"name": "index", "d... | 2023-12-01T14:30:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cai-conversation-prod-h4-harmless"
More Information needed | [
"# Dataset Card for \"cai-conversation-prod-h4-harmless\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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217f7ab94e35b877e3192debf0af4cbc72ccdea6 | # [doc] image dataset 8
This dataset contains 4 jpeg files in the `{train,test}/{green,red}/`subdirectories, which specify the splits and the image classes. | datasets-examples/doc-image-8 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T19:35:01+00:00 | {"size_categories": ["n<1K"]} | 2023-11-30T19:39:56+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 8
This dataset contains 4 jpeg files in the '{train,test}/{green,red}/'subdirectories, which specify the splits and the image classes. | [
"# [doc] image dataset 8\n\nThis dataset contains 4 jpeg files in the '{train,test}/{green,red}/'subdirectories, which specify the splits and the image classes."
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] |
7f070475c9c9e951478b2b537b053f6b167a928d | # [doc] image dataset 10
This dataset contains a parquet file that contains an image column. | datasets-examples/doc-image-10 | [
"size_categories:n<1K",
"region:us"
] | 2023-11-30T19:45:43+00:00 | {"size_categories": ["n<1K"]} | 2023-12-01T17:26:24+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # [doc] image dataset 10
This dataset contains a parquet file that contains an image column. | [
"# [doc] image dataset 10\n\nThis dataset contains a parquet file that contains an image column."
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d8bae27cc677b2b9b4bef8c2a970937fd003b8cb |
# Bangumi Image Base of Black Lagoon
This is the image base of bangumi Black Lagoon, we detected 24 characters, 2637 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models usi... | BangumiBase/blacklagoon | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-30T20:53:41+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-30T22:30:28+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Black Lagoon
==================================
This is the image base of bangumi Black Lagoon, we detected 24 characters, 2637 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manual... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
ba4e55d03b92ff60c6be2c652e5a4b53409bfe11 |
# Bangumi Image Base of Azumanga Daioh
This is the image base of bangumi Azumanga Daioh, we detected 14 characters, 3047 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models... | BangumiBase/azumangadaioh | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-30T20:59:44+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-30T22:10:00+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Azumanga Daioh
====================================
This is the image base of bangumi Azumanga Daioh, we detected 14 characters, 3047 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to ... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
836baaaa6f90f7c19517b599a31ea8c1eb643fd0 | # Dataset Card for "required-deloitte-jobs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | evkes/required-deloitte-jobs | [
"region:us"
] | 2023-11-30T21:09:38+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 539333, "num_examples": 327}], "download_size": 205214, "dataset_size": 539333}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/t... | 2023-11-30T21:09:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "required-deloitte-jobs"
More Information needed | [
"# Dataset Card for \"required-deloitte-jobs\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"required-deloitte-jobs\"\n\nMore Information needed"
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20
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"passage: TAGS\n#region-us \n# Dataset Card for \"required-deloitte-jobs\"\n\nMore Information needed"
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02e283ab3995ffda87a1c32d231d8ac7fafdd9d5 |
Processed https://huggingface.co/datasets/craigslist_bargains into a canonical text classification dataset.
The text is the dialogue between the buyer and seller. The label is the category of the product which they are discussing.
Note that some records don't have dialogues, i.e., the `text` field is null. I typical... | aladar/craigslist_bargains | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | 2023-11-30T21:27:12+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"]} | 2023-12-27T10:04:14+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-mit #region-us
|
Processed URL into a canonical text classification dataset.
The text is the dialogue between the buyer and seller. The label is the category of the product which they are discussing.
Note that some records don't have dialogues, i.e., the 'text' field is null. I typically handle this by replacing these nulls with the... | [] | [
"TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-mit #region-us \n"
] | [
38
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"passage: TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-mit #region-us \n"
] |
61ea50f52c55527d5b130af76e4af3ccc91deb07 | <p align="center"><img src="https://i.ibb.co/3z86DFV/cygnuscat.png"/><font size="6"> <b>Adjusted to Alpaca from <a href="https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs">mlabonne/chatml_dpo_pairs</a></b> </font></p>
| athirdpath/alpaca_dpo_pairs | [
"license:apache-2.0",
"region:us"
] | 2023-11-30T21:32:24+00:00 | {"license": "apache-2.0"} | 2023-12-01T03:18:22+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| <p align="center"><img src="https://i.URL size="6"> <b>Adjusted to Alpaca from <a href="URL </font></p>
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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14
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"passage: TAGS\n#license-apache-2.0 #region-us \n"
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71cebc1756664652935fd5ee1b27bdd0a74074a0 | # Dataset Card for "labelled-deloitte-cloud"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | evkes/labelled-deloitte-cloud | [
"region:us"
] | 2023-11-30T21:47:36+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1121994, "num_examples": 654}], "download_size": 411938, "dataset_size": 1121994}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data... | 2023-11-30T21:56:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "labelled-deloitte-cloud"
More Information needed | [
"# Dataset Card for \"labelled-deloitte-cloud\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"labelled-deloitte-cloud\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"labelled-deloitte-cloud\"\n\nMore Information needed"
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c52c341593b13cf447e339b37f0fce83643531d8 |
# Make Believe Fake Celebrity News Dataset
| 2nji/makebelieve-480 | [
"license:apache-2.0",
"region:us"
] | 2023-11-30T22:05:30+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 400355, "num_examples": 480}], "download_size": 245896, "dataset_size": 400355}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-12-17T09:52:46+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Make Believe Fake Celebrity News Dataset
| [
"# Make Believe Fake Celebrity News Dataset"
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Make Believe Fake Celebrity News Dataset"
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e4a8f76e7b040e51bee1e751651b843ff68a70cf | # Dataset Card for "handling_charges_current_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | paul-w-qs/handling_charges_current_v1 | [
"region:us"
] | 2023-11-30T22:28:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "JSON_LABEL", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 363782668.918, "num_examples": 1093}], "download_size": 362595207... | 2023-11-30T22:30:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "handling_charges_current_v1"
More Information needed | [
"# Dataset Card for \"handling_charges_current_v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"handling_charges_current_v1\"\n\nMore Information needed"
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6,
19
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"passage: TAGS\n#region-us \n# Dataset Card for \"handling_charges_current_v1\"\n\nMore Information needed"
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12bdaf34d12cc33f48f8abdce5fcb9585df122ae | # Dataset Card for "midascontrolourbalanced"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dputilov/midascontrolourbalanced | [
"region:us"
] | 2023-11-30T22:49:30+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "conditioning_image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1537158001.974634, "num_examples": 2725}], "download_size": 1526594996, "dataset_size"... | 2023-11-30T22:54:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "midascontrolourbalanced"
More Information needed | [
"# Dataset Card for \"midascontrolourbalanced\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"midascontrolourbalanced\"\n\nMore Information needed"
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97b02f709c8b1acef036931a699f3f719ea55a02 | Notes on use:
Portuguese and English Translations of readme are available here.
Partially cleaned and reorganized. Minimal secondhand verification after generation through Google Bard on November 28th 2023. Mistakes are minimal but present, such as tagging of words in supplemental information sometimes using the whole... | Solshine/Portuguese-English-Vocab-PartiallyTransformed | [
"license:mit",
"region:us"
] | 2023-11-30T23:07:03+00:00 | {"license": "mit"} | 2023-12-02T19:18:22+00:00 | [] | [] | TAGS
#license-mit #region-us
| Notes on use:
Portuguese and English Translations of readme are available here.
Partially cleaned and reorganized. Minimal secondhand verification after generation through Google Bard on November 28th 2023. Mistakes are minimal but present, such as tagging of words in supplemental information sometimes using the whole... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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12f0baa6526d2e52ba7844035b35ff4891deae34 |
---
About Dataset
---
This dataset was scrapped from the MedQuAD repository and then converted to a csv file. This file contains multiple categories such as:
1. Cancer
2. Senior Helth
3. Growth Hormones and Receptors
4. Heart, Lungs and Blood
5. Genetic and Rare Diseases
6. Disease Control and Prevention
7. Neurolo... | GonzaloValdenebro/MedicalQuestionAnsweringDataset | [
"license:mit",
"region:us"
] | 2023-11-30T23:32:08+00:00 | {"license": "mit"} | 2023-12-05T04:06:41+00:00 | [] | [] | TAGS
#license-mit #region-us
|
---
About Dataset
---
This dataset was scrapped from the MedQuAD repository and then converted to a csv file. This file contains multiple categories such as:
1. Cancer
2. Senior Helth
3. Growth Hormones and Receptors
4. Heart, Lungs and Blood
5. Genetic and Rare Diseases
6. Disease Control and Prevention
7. Neurolo... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
8efa0bb5b3e5e41d2b15f85c354d5c52f7997f0c | # Dataset Card for "conandoyle_cue_scope"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/conandoyle_cue_scope | [
"region:us"
] | 2023-11-30T23:37:42+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "cue", "sequence": "int64"}, {"name": "scope", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 105721, "num_examples": 235}], "download_size": 21262, "dataset_size": 105721}, "configs": [{"config_name": "default", "data_files"... | 2023-11-30T23:37:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "conandoyle_cue_scope"
More Information needed | [
"# Dataset Card for \"conandoyle_cue_scope\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"conandoyle_cue_scope\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"conandoyle_cue_scope\"\n\nMore Information needed"
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b3b8ca200e5d77ba99a8aa6d301e038dfd21ed49 | # Dataset Card for "context_extension-mistral-16k"
!!! idx=27710 has length 32717
remove it with dataset['train'] = dataset['train'].select((i for i in range(len(dataset['train'])) if i != 27710))
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dat... | sade-adrien/context_extension-mistral-16k | [
"region:us"
] | 2023-11-30T23:50:28+00:00 | {"dataset_info": {"features": [{"name": "raw_content", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 13206603486, "num_examples": 30000}], "download_size": 5395605016, "d... | 2023-12-01T18:16:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "context_extension-mistral-16k"
!!! idx=27710 has length 32717
remove it with dataset['train'] = dataset['train'].select((i for i in range(len(dataset['train'])) if i != 27710))
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"context_extension-mistral-16k\"\n\n!!! idx=27710 has length 32717\n\nremove it with dataset['train'] = dataset['train'].select((i for i in range(len(dataset['train'])) if i != 27710))\n\nMore Information needed"
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c777517ee1ad675f0fea441354f8a756c002c7b8 |
# Description of the Dataset
This release integrates the entire data sequence utilized in the CrystalCoder training. It encompasses data sequences from the three pre-training stages, combining information from two prior works: the [SlimPajama dataset](https://huggingface.co/datasets/cerebras/SlimPajama-627B) and [Sta... | LLM360/CrystalCoderDatasets | [
"language:en",
"pretrained",
"arxiv:2207.14255",
"region:us"
] | 2023-11-30T23:57:32+00:00 | {"language": ["en"], "tags": ["pretrained"]} | 2024-02-06T16:24:04+00:00 | [
"2207.14255"
] | [
"en"
] | TAGS
#language-English #pretrained #arxiv-2207.14255 #region-us
|
# Description of the Dataset
This release integrates the entire data sequence utilized in the CrystalCoder training. It encompasses data sequences from the three pre-training stages, combining information from two prior works: the SlimPajama dataset and StarCoder, totaling approximately 1300 billion tokens. These tok... | [
"# Description of the Dataset\n\nThis release integrates the entire data sequence utilized in the CrystalCoder training. It encompasses data sequences from the three pre-training stages, combining information from two prior works: the SlimPajama dataset and StarCoder, totaling approximately 1300 billion tokens. The... | [
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315e1440595ac79a54db2eefc1c1f3c52f825741 |
### **UniIR: Training and Benchmarking Universal Multimodal Information Retrievers**
[**🌐 Homepage**](https://tiger-ai-lab.github.io/UniIR/) | [**🤗 Paper**](https://huggingface.co/papers/2311.17136) | [**📖 arXiv**](https://arxiv.org/pdf/2311.17136.pdf) | [**GitHub**](https://github.com/TIGER-AI-Lab/UniIR)
## 🔔Ne... | TIGER-Lab/M-BEIR | [
"task_categories:text-retrieval",
"task_categories:text-to-image",
"task_categories:image-to-text",
"task_categories:visual-question-answering",
"language:en",
"license:mit",
"arxiv:2311.17136",
"region:us"
] | 2023-12-01T00:08:47+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["text-retrieval", "text-to-image", "image-to-text", "visual-question-answering"], "pretty_name": "M-BEIR", "configs": [{"config_name": "query", "data_files": [{"split": "train", "path": "query/train/*.jsonl"}, {"split": "union_train", "path": "query/union_train... | 2024-01-22T00:58:05+00:00 | [
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] | TAGS
#task_categories-text-retrieval #task_categories-text-to-image #task_categories-image-to-text #task_categories-visual-question-answering #language-English #license-mit #arxiv-2311.17136 #region-us
|
### UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
Homepage | Paper | arXiv | GitHub
## News
- [2023-12-21]: Our M-BEIR Benchmark is now available for use.
## Dataset Summary
M-BEIR, the Multimodal BEnchmark for Instructed Retrieval, is a comprehensive large-scale retrieval benchm... | [
"### UniIR: Training and Benchmarking Universal Multimodal Information Retrievers\n Homepage | Paper | arXiv | GitHub",
"## News\n\n- [2023-12-21]: Our M-BEIR Benchmark is now available for use.",
"## Dataset Summary\n\nM-BEIR, the Multimodal BEnchmark for Instructed Retrieval, is a comprehensive large-scale... | [
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a3f026a5e5f1df8e06b843f277a5b66043ac15e8 | # Dataset Card for "gibberish-47-15-08"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | iohadrubin/gibberish-47-15-08 | [
"region:us"
] | 2023-12-01T00:20:14+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "int32"}, {"name": "file_loc", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 70234967, "num_examples": 10475}], "download_size": 39895849, "dataset_size": 70234967}, "configs": [{"config_name": "default", "data_f... | 2023-12-01T00:20:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gibberish-47-15-08"
More Information needed | [
"# Dataset Card for \"gibberish-47-15-08\"\n\nMore Information needed"
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00c0984770e716799cd80bd77d35e2e6782920f0 | # Dataset Card for "not-gibberish-20-56-22"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | iohadrubin/not-gibberish-20-56-22 | [
"region:us"
] | 2023-12-01T00:27:45+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "int32"}, {"name": "file_loc", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 10140566, "num_examples": 6198}], "download_size": 5851350, "dataset_size": 10140566}, "configs": [{"config_name": "default", "data_fil... | 2023-12-01T00:27:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "not-gibberish-20-56-22"
More Information needed | [
"# Dataset Card for \"not-gibberish-20-56-22\"\n\nMore Information needed"
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8730fae94c4bdba5bd4fc7c1d8368a4552ea18c9 | # Dataset Card for "subj"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | awettig/subj | [
"region:us"
] | 2023-12-01T02:46:14+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1231802, "num_examples": 8000}, {"name": "test", "num_bytes": 310282, "num_examples": 2000}], "download_size": 946189, "dataset_s... | 2023-12-01T02:46:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "subj"
More Information needed | [
"# Dataset Card for \"subj\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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263c2610c16cc19b690230e1b21b91fdf608745b | # Dataset Card for "WMT-year-splits"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | KaiNylund/WMT-year-splits | [
"license:cc0-1.0",
"region:us"
] | 2023-12-01T02:55:19+00:00 | {"license": "cc0-1.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "2012_train", "num_bytes": 200226328, "num_examples": 74030}, {"name": "2012_test", "num_bytes": 10013398, "num_examples": 3702}, {"name": "2013_train", "num_bytes": 200208976, "num_examples": 69560}, {"name":... | 2024-02-12T23:27:34+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| # Dataset Card for "WMT-year-splits"
More Information needed | [
"# Dataset Card for \"WMT-year-splits\"\n\nMore Information needed"
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"TAGS\n#license-cc0-1.0 #region-us \n",
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43decb511677c7cd92e2774d274a2cc4ffcd9ed9 | # 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) | aisikoduro/fashion_image_caption-100-v2 | [
"region:us"
] | 2023-12-01T03:11:29+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": 22820373, "dataset_size": 22820471.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": ... | 2023-12-01T03:11:40+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"
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4c876c7647d9ef4b341554af3c090414d2304cde |
# Multilingual Mathematical Autoformalization
["**Paper**"](https://arxiv.org/abs/2311.03755)
This repository contains parallel mathematical statements:
1. Input: An informal proof in natural language
2. Output: The corresponding formalization in either Lean or Isabelle
This dataset can be used to train models h... | casey-martin/multilingual-mathematical-autoformalization | [
"task_categories:translation",
"task_categories:text-generation",
"size_categories:100K<n<1M",
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"license:apache-2.0",
"mathematics",
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"lean",
"isabelle",
"arxiv:2311.03755",
"region:us"
] | 2023-12-01T03:57:06+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["translation", "text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/*_train.jsonl"}, {"split": "val", "path": "data/*_val.jsonl"}, {"split": "test", "path": "data/*_t... | 2023-12-02T17:41:02+00:00 | [
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|
# Multilingual Mathematical Autoformalization
"Paper"
This repository contains parallel mathematical statements:
1. Input: An informal proof in natural language
2. Output: The corresponding formalization in either Lean or Isabelle
This dataset can be used to train models how to formalize mathematical statements ... | [
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b9e92fa5ef5a69910505709233ae5104038d0947 |
- Original Dataset: [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf)
- Translation by using [maywell/Synatra-7B-v0.3-Translation](https://huggingface.co/maywell/Synatra-7B-v0.3-Translation)
- Translating in progress... | heegyu/hh-rlhf-ko | [
"language:ko",
"license:mit",
"region:us"
] | 2023-12-01T04:55:40+00:00 | {"language": ["ko"], "license": "mit"} | 2023-12-24T14:35:56+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #license-mit #region-us
|
- Original Dataset: Anthropic/hh-rlhf
- Translation by using maywell/Synatra-7B-v0.3-Translation
- Translating in progress... | [] | [
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4b32a779ee7e21ce321517d94860d8da94b6e6a1 |
- Original Dataset: [PKU-Alignment/PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF)
- Translation by using [maywell/Synatra-7B-v0.3-Translation](https://huggingface.co/maywell/Synatra-7B-v0.3-Translation)
- Translating in progress... | heegyu/PKU-SafeRLHF-ko | [
"language:ko",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-01T05:02:17+00:00 | {"language": ["ko"], "license": "cc-by-nc-4.0"} | 2023-12-31T05:26:05+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #license-cc-by-nc-4.0 #region-us
|
- Original Dataset: PKU-Alignment/PKU-SafeRLHF
- Translation by using maywell/Synatra-7B-v0.3-Translation
- Translating in progress... | [] | [
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ab7e225e475539c8bd15b222e05e4821324bd33d | # Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
This dataset contains the required data for running the Visual Search Experiment for our NeurIPS paper: [[Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases][neurips]]
Usage instructions can be found on this [GitHub... | shashikg/visual_search_klab | [
"arxiv:2106.02953",
"region:us"
] | 2023-12-01T05:22:29+00:00 | {} | 2023-12-01T05:36:49+00:00 | [
"2106.02953"
] | [] | TAGS
#arxiv-2106.02953 #region-us
| # Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
This dataset contains the required data for running the Visual Search Experiment for our NeurIPS paper: [[Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases][neurips]]
Usage instructions can be found on this GitHub ... | [
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25ecdc6c13f0b5d5780b695c7da9adea43572aea | # Dataset Card for "capstone_fromgpt_without_gold_v10_all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deojoandco/capstone_fromgpt_without_gold_v10_all | [
"region:us"
] | 2023-12-01T05:28:37+00:00 | {"dataset_info": {"features": [{"name": "dialog_id", "dtype": "int64"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gold_tags", "dtype": "string"}, {"name": "gpt_success", "dtype": "bool"}, {"name": "gpt_response", "dtype": "string"}, {"name": "gold_tags_tokens_count", "dt... | 2023-12-01T05:32:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "capstone_fromgpt_without_gold_v10_all"
More Information needed | [
"# Dataset Card for \"capstone_fromgpt_without_gold_v10_all\"\n\nMore Information needed"
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a5ee0f31edb011690c724a71aec4bc36922974ff | a test | sauravprashar/test | [
"region:us"
] | 2023-12-01T06:09:08+00:00 | {} | 2023-12-01T06:32:19+00:00 | [] | [] | TAGS
#region-us
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afb3dc72cbd7ca98a137bad44dc8d03fe51af174 | # Dataset Card for "github-code-haskell-function"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | blastwind/github-code-haskell-function | [
"region:us"
] | 2023-12-01T06:14:03+00:00 | {"dataset_info": {"features": [{"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "full_code", "dtype": "string"}, {"name": "full_size", "dtype": "int64"}, {"name": "uncommented_code", "dtype": "string"}, {"name": "uncommented_size", "dtype": ... | 2023-12-01T06:17:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-code-haskell-function"
More Information needed | [
"# Dataset Card for \"github-code-haskell-function\"\n\nMore Information needed"
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710e3089b840aa3f049d47955f7cd542c91e23b9 | # Dataset Card for "tab-wnut-packed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | madaanpulkit/tab-wnut-packed | [
"region:us"
] | 2023-12-01T06:18:13+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "token_spans", "sequence": {"sequence": "int64"}}, {"name": "tags", "sequence": {"sequence": {"class_label": {"names": {"0": "0", "1": "B-DIRECT-CODE", "2": "I-DIRECT-CODE", "3": "B-DIRECT-PERSON", "4"... | 2023-12-01T17:15:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tab-wnut-packed"
More Information needed | [
"# Dataset Card for \"tab-wnut-packed\"\n\nMore Information needed"
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6b0c111b844e4448b3d88e9d7ef751b56199f22f | # Dataset Card for "vt_multiapi_v0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nexusflow/VirusTotalMultiple | [
"region:us"
] | 2023-12-01T06:24:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "fncall", "sequence": "string"}, {"name": "generated_question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25028, "num_examples": 70}], "download_size": 12622,... | 2023-12-01T06:24:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vt_multiapi_v0"
More Information needed | [
"# Dataset Card for \"vt_multiapi_v0\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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024f53228805b33d6ae8ac0a42fe313b1c19f2e9 | # Dataset Card for "new_vt_apis"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nexusflow/VT_MultiAPIs | [
"region:us"
] | 2023-12-01T06:25:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "args_dicts", "list": [{"name": "default", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "required", "dtype": "bool... | 2023-12-01T06:25:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "new_vt_apis"
More Information needed | [
"# Dataset Card for \"new_vt_apis\"\n\nMore Information needed"
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8339ee026230b3536961428e53928f2cfd26ec9b | # Dataset Card for "capstone_fromgpt_without_gold_v11_all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deojoandco/capstone_fromgpt_without_gold_v11_all | [
"region:us"
] | 2023-12-01T06:49:08+00:00 | {"dataset_info": {"features": [{"name": "dialog_id", "dtype": "int64"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gold_tags", "dtype": "string"}, {"name": "gpt_success", "dtype": "bool"}, {"name": "gpt_response", "dtype": "string"}, {"name": "gold_tags_tokens_count", "dt... | 2023-12-01T06:50:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "capstone_fromgpt_without_gold_v11_all"
More Information needed | [
"# Dataset Card for \"capstone_fromgpt_without_gold_v11_all\"\n\nMore Information needed"
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164ce1ee34dd1ab35cb8e7cffb213675a4a68e54 | # Text dataset of Nature family journals
## About
- A scientific document dataset was constructed using open-access papers published by Springer Nature (https://www.springernature.com/). We focused on several journals under the Creative Commons License, including Nature Communications, npj Computational Materials, Nat... | kanhatakeyama/nature-family-CC-papers | [
"region:us"
] | 2023-12-01T07:27:37+00:00 | {} | 2024-02-01T06:33:39+00:00 | [] | [] | TAGS
#region-us
| # Text dataset of Nature family journals
## About
- A scientific document dataset was constructed using open-access papers published by Springer Nature (URL We focused on several journals under the Creative Commons License, including Nature Communications, npj Computational Materials, Nature Computational Science, Com... | [
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fdc8fdb69bf401ad6ef890080f7ccff81952ce51 | # QALD-9-plus Dataset Description
QALD-9-plus is the dataset for Knowledge Graph Question Answering (KGQA) based on well-known [QALD-9](https://github.com/ag-sc/QALD/tree/master/9/data).
QALD-9-plus enables to train and test KGQA systems over DBpedia and Wikidata using questions in 9 different languages: English, Ger... | casey-martin/qald_9_plus | [
"task_categories:table-question-answering",
"task_categories:text2text-generation",
"language:ba",
"language:be",
"language:de",
"language:en",
"language:fr",
"language:hy",
"language:lt",
"language:ru",
"language:uk",
"license:cc-by-4.0",
"semantic web",
"sparql",
"wikidata",
"dbpedia... | 2023-12-01T07:28:09+00:00 | {"language": ["ba", "be", "de", "en", "fr", "hy", "lt", "ru", "uk"], "license": "cc-by-4.0", "task_categories": ["table-question-answering", "text2text-generation"], "pretty_name": "QALD 9+", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/*_train.parquet"}]}, {"config_name": "ba"... | 2023-12-01T07:36:24+00:00 | [
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===============================
QALD-9-plus is the dataset for Knowledge Graph Question Answering (KGQA) based on well-known QALD-9.
QALD-9-plus enables to train and test KGQA systems over DBpedia and Wikidata using questions in 9 different languages: English, German, Russian, French... | [
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de6f76a9c01bf9b213257e74ea72727ec9fa17ac | oasst1-89k-ja , databricks-dolly-15k-ja , hh-rlhf-49k-ja の中から JGLUE( JcommonsenseQA , MARC-ja , JSQuAD )の観点で高品質なデータセットに絞り込んだデータセットです。
品質スコアリングの詳細はこちらを参考にして下さい。
https://qiita.com/kunishou/items/efd9f68d6aa86d56dc73
データセットの構成とライセンスは以下の通りになります。
|dataset|num records|liscence|
|:----|:----|:----|
|[oasst1-89k-ja](https:... | kunishou/jp-effective-instructions | [
"language:ja",
"license:other",
"region:us"
] | 2023-12-01T07:36:25+00:00 | {"language": ["ja"], "license": "other", "license_name": "mixed-liscence", "license_link": "LICENSE"} | 2023-12-01T07:52:41+00:00 | [] | [
"ja"
] | TAGS
#language-Japanese #license-other #region-us
| oasst1-89k-ja , databricks-dolly-15k-ja , hh-rlhf-49k-ja の中から JGLUE( JcommonsenseQA , MARC-ja , JSQuAD )の観点で高品質なデータセットに絞り込んだデータセットです。
品質スコアリングの詳細はこちらを参考にして下さい。
URL
データセットの構成とライセンスは以下の通りになります。
※ ライセンスはオリジナルのデータセットのライセンスに従います。
| [] | [
"TAGS\n#language-Japanese #license-other #region-us \n"
] | [
17
] | [
"passage: TAGS\n#language-Japanese #license-other #region-us \n"
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2f6bd9527c3606e0c57d697a4054204963d7a390 | # Dataset Card for "safety-utcustom-train-v1.0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sam1120/safety-utcustom-train-v1.0 | [
"region:us"
] | 2023-12-01T08:33:46+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "pixel_values", "dtype": "image"}, {"name": "labels", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 142272068.0, "num_examples": 50}], "download_size": 43505313, "dataset_size": 142272068.0}} | 2023-12-01T08:39:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "safety-utcustom-train-v1.0"
More Information needed | [
"# Dataset Card for \"safety-utcustom-train-v1.0\"\n\nMore Information needed"
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d45ccd131825c3d03b74b32c1012ae2066e1eaca | # Dataset Card for "safety-utcustom-EVAL"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sam1120/safety-utcustom-EVAL | [
"region:us"
] | 2023-12-01T08:34:32+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "pixel_values", "dtype": "image"}, {"name": "labels", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 139241854.0, "num_examples": 50}], "download_size": 40270282, "dataset_size": 139241854.0}} | 2023-12-01T08:41:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "safety-utcustom-EVAL"
More Information needed | [
"# Dataset Card for \"safety-utcustom-EVAL\"\n\nMore Information needed"
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a1ff219b865bdfb3aa0ed5b48368dd7b04872fbc | # Dataset Card for "safety-utcustom-TEST"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sam1120/safety-utcustom-TEST | [
"region:us"
] | 2023-12-01T08:37:08+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "pixel_values", "dtype": "image"}, {"name": "labels", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 286143613.0, "num_examples": 101}], "download_size": 86634890, "dataset_size": 286143613.0}} | 2023-12-01T08:38:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "safety-utcustom-TEST"
More Information needed | [
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58b99c4c80bbc88065b5fba5d326c9f17e94076b | # 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... | Anavya1/Test | [
"language:en",
"region:us"
] | 2023-12-01T10:11:18+00:00 | {"language": ["en"]} | 2023-12-01T10:47:42+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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### Dataset Description
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1bc7c15d1095ee7c60e8ef924c5f5e2ed3a81717 |
# Contents
## Overview
This dataset comprises prompt/answer pairs related to the curriculum for Norwegian dentistry and dental hygiene students, specifically focusing on the subjects of radiation physics, radiation protection, and radiological technology.
## Data files
- data.csv - the original dataset generated as... | geraldOslo/RadProtDataSet | [
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"license:cc-by-2.0",
"dentistry",
"physics",
"radiation protection",
"region:us"
] | 2023-12-01T10:27:37+00:00 | {"language": ["no"], "license": "cc-by-2.0", "size_categories": ["1K<n<10K"], "pretty_name": "Question/answer connected to radiation protection in dentistry", "tags": ["dentistry", "physics", "radiation protection"], "configs": [{"config_name": "tab", "data_files": ["data.csv", "syntetic_5k_gemini.csv"], "sep": ";"}]} | 2024-01-24T13:16:03+00:00 | [] | [
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98fb04d30fe134c04fcbdfbcffee9326c5c1c08d | # Dataset Card for "instruct-v3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kowndinya23/instruct-v3 | [
"region:us"
] | 2023-12-01T10:39:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 219935609, ... | 2023-12-01T10:40:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instruct-v3"
More Information needed | [
"# Dataset Card for \"instruct-v3\"\n\nMore Information needed"
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14a395a263b380f4d4ba3881586917671e67d0f6 | # 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... | bengisucam/tr_dataset_combined | [
"language:tr",
"license:apache-2.0",
"region:us"
] | 2023-12-01T11:21:09+00:00 | {"language": ["tr"], "license": "apache-2.0", "dataset_info": {"features": [{"name": "Text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 167603259, "num_examples": 824809}], "download_size": 106342453, "dataset_size": 167603259}, "configs": [{"config_name": "default", "data_files": [{"split": "train"... | 2023-12-01T14:33:52+00:00 | [] | [
"tr"
] | TAGS
#language-Turkish #license-apache-2.0 #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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### Dataset Description
This dataset is the combination of the datasets listed below:
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a2b3a1e371e92847b26c65f351ffa990f1981ea9 |
# Dataset Card for Nectar DPO Pairs
| kashif/nectar_dpo_pairs | [
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"language:en",
"license:cc-by-nc-4.0",
"RLHF",
"RLAIF",
"reward model",
"region:us"
] | 2023-12-01T11:51:01+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["100K<n<1M"], "datasets": ["berkeley-nest/Nectar"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 86513555... | 2023-12-01T12:14:22+00:00 | [] | [
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# Dataset Card for Nectar DPO Pairs
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08d245269a0c80f73f4609cfec97cfdfd0bb4780 | # Dataset Card for "ImpartialNews-GenAI-Dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cmglmsr/ImpartialNews-GenAI-Dataset | [
"region:us"
] | 2023-12-01T11:51:02+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3595442, "num_examples": 1432}], "download_size": 1467476, "dataset_size": 3595442}, "co... | 2023-12-01T11:51:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ImpartialNews-GenAI-Dataset"
More Information needed | [
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7894462f90e17193bcaee5b6c58f087541812af1 |
This dataset contains:
* All reddit posts (submission) and comments of the subreddit reddit.com/r/debateavegan from Jan 20 2011 till Oct 30 2022.
* A set of prompts extracted LLMs fine-tuning based on the highest scoring top-level comments to each reddit post. | lowdewijk/debateavegan_prompts | [
"license:apache-2.0",
"region:us"
] | 2023-12-01T12:29:07+00:00 | {"license": "apache-2.0"} | 2023-12-01T14:03:54+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This dataset contains:
* All reddit posts (submission) and comments of the subreddit URL from Jan 20 2011 till Oct 30 2022.
* A set of prompts extracted LLMs fine-tuning based on the highest scoring top-level comments to each reddit post. | [] | [
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43b84bf19eb6e4dc4ca157eb87b0eebe31e33b62 | # Dataset Card for "cityscape_11_classes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Arham-Imran/cityscape_11_classes | [
"region:us"
] | 2023-12-01T13:50:27+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 6896961361.3, "num_examples": 2... | 2023-12-01T15:18:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cityscape_11_classes"
More Information needed | [
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248d16258a5154e70720066ad0d423d7833d02ad | Euskerazko liburuak osaturiko dataseta. Booktegi webgunetik aterata. | Lam-ia/Euskal-liburu-dataseta | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:eu",
"license:apache-2.0",
"region:us"
] | 2023-12-01T14:21:35+00:00 | {"language": ["eu"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "pretty_name": "Euskal Liburuak"} | 2023-12-01T14:25:41+00:00 | [] | [
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#task_categories-text-generation #size_categories-10K<n<100K #language-Basque #license-apache-2.0 #region-us
| Euskerazko liburuak osaturiko dataseta. Booktegi webgunetik aterata. | [] | [
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7f6e382fd19f00983ab690852234e83dfb0e81d2 |
### Description
Scraped articles from alarab (~145,069 articles)
### Usage
```python
from datasets import load_dataset
ds = load_dataset("iahlt/alarab_articles")
```
### Sample
```json
{'url': 'https://www.alarab.co.il/Article/1038538',
'title': 'وفيات النقب | الحاجة فاطمة البحيري في ذمة الله',
'description':... | iahlt/alarab_articles | [
"task_categories:feature-extraction",
"task_categories:fill-mask",
"language:ar",
"region:us"
] | 2023-12-01T14:26:34+00:00 | {"language": ["ar"], "task_categories": ["feature-extraction", "fill-mask"], "dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "meta_keywords", "sequence": "string"}, {"name": "tags", "sequence": "string"}, {"name... | 2024-02-13T07:25:32+00:00 | [] | [
"ar"
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#task_categories-feature-extraction #task_categories-fill-mask #language-Arabic #region-us
|
### Description
Scraped articles from alarab (~145,069 articles)
### Usage
### Sample
If you use this dataset, please cite:
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2c8f183f996c73fc9607e089c5a5453df6cf934d | CORPUS 1B: A corpus of President George W. Bush's terrorism-related discourse, for a historical research project.
Period: September 11, 2001 (preferable to starting at the beginning of the Bush presidency, for a clean break between pre-9/11 and post-9/11.
-January 20, 2005 (the end of Bush’s first term).
Search par... | GPT-JF/Corpus_1B | [
"region:us"
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#region-us
| CORPUS 1B: A corpus of President George W. Bush's terrorism-related discourse, for a historical research project.
Period: September 11, 2001 (preferable to starting at the beginning of the Bush presidency, for a clean break between pre-9/11 and post-9/11.
-January 20, 2005 (the end of Bush’s first term).
Search par... | [] | [
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6b501f525c9177ce4af24e20276f8e01af4ac5f0 |
## Description
I am a chess expert.
## Prompt
A video channel managed by a renowed grandmaster, Mongoose Carlsun.
The videos are informative, but playful and fun.
| Xenova/ai-tube-my-chess-bot | [
"license:cc-by-nc-sa-4.0",
"ai-tube:Chess Bot",
"region:us"
] | 2023-12-01T14:57:05+00:00 | {"license": "cc-by-nc-sa-4.0", "pretty_name": "My Chess Bot", "tags": ["ai-tube:Chess Bot"]} | 2023-12-01T14:58:26+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #ai-tube-Chess Bot #region-us
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## Description
I am a chess expert.
## Prompt
A video channel managed by a renowed grandmaster, Mongoose Carlsun.
The videos are informative, but playful and fun.
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] |
77f7e271bf4a92b24fce5119f3486b583ca016ff | # Syntec dataset for information retrieval
This dataset has been built from the Syntec Collective bargaining agreement. Its purpose is information retrieval.
## Dataset Details
The dataset is rather small. It is intended to be used only as a test set, for fast evaluation of models.
It is split into 2 subsets :
- **... | lyon-nlp/mteb-fr-retrieval-syntec-s2p | [
"task_categories:question-answering",
"language:fr",
"region:us"
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"fr"
] | TAGS
#task_categories-question-answering #language-French #region-us
| # Syntec dataset for information retrieval
This dataset has been built from the Syntec Collective bargaining agreement. Its purpose is information retrieval.
## Dataset Details
The dataset is rather small. It is intended to be used only as a test set, for fast evaluation of models.
It is split into 2 subsets :
- qu... | [
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f459757b3b01ad5525f2c29d720b78a8791f729f |
## Description
In a galaxy far far away, there was a wholesome Knight and a small creature as companion.
## Prompt
A video channel managed by the famous Space Knight Djin Darin.
The videos are scenery of galaxy, futuristic knights, aliens, planets, spacecrafts.
The humor should be about how the absurd the small c... | merve/ai-tube-dummy | [
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#license-apache-2.0 #ai-tube-Dummy #region-us
|
## Description
In a galaxy far far away, there was a wholesome Knight and a small creature as companion.
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A video channel managed by the famous Space Knight Djin Darin.
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a23b50e70fbe5241897e41dde7c465b1450944a3 | # Dataset Card for "Impressions"
## Overview
The Impressions dataset is a multimodal benchmark that consists of 4,100 unique annotations and over 1,375 image-caption pairs from the photography domain. Each annotation explores (1) the aesthetic impactfulness of a photograph, (2) image descriptions in which pragmatic i... | SALT-NLP/Impressions | [
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"arxiv:2310.17887",
"region:us"
] | 2023-12-01T15:39:53+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["image-to-text", "visual-question-answering"], "pretty_name": "Impressions", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "AnnotatorId", "dtype": "string"}, {"name": "ImgId", "dtype": "str... | 2023-12-01T15:58:34+00:00 | [
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| # Dataset Card for "Impressions"
## Overview
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68cf25ad9390f90a530e3e72f4762cd8cb6d63cd | # Dataset Card for "capstone_fromgpt_without_gold_v12_all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Deojoandco/capstone_fromgpt_without_gold_v12_all | [
"region:us"
] | 2023-12-01T15:47:57+00:00 | {"dataset_info": {"features": [{"name": "dialog_id", "dtype": "int64"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gold_tags", "dtype": "string"}, {"name": "gpt_success", "dtype": "bool"}, {"name": "gpt_response", "dtype": "string"}, {"name": "gold_tags_tokens_count", "dt... | 2023-12-01T15:49:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "capstone_fromgpt_without_gold_v12_all"
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cef928e8b1381e66abce384de322cdc5c43c32ad | # Dataset Card for "autotrain-data-flan_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | healthcorum/autotrain-data-flan_test | [
"region:us"
] | 2023-12-01T16:01:17+00:00 | {"dataset_info": {"features": [{"name": "autotrain_text", "dtype": "string"}, {"name": "autotrain_label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9436691, "num_examples": 7998}, {"name": "validation", "num_bytes": 2359962, "num_examples": 2000}], "download_size": 4112546, "dataset_size": 11796653... | 2023-12-01T16:01:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-flan_test"
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da2bccb35790a24297f56300cd1ce755994914c9 |
# [Music-Driven Group Choreography (CVPR 2023)](https://openaccess.thecvf.com/content/CVPR2023/papers/Le_Music-Driven_Group_Choreography_CVPR_2023_paper.pdf)
### *[Nhat Le](https://minhnhatvt.github.io/), [Thang Pham](https://phamtrongthang123.github.io/), [Tuong Do](https://scholar.google.com/citations?user=qCcSKkMAA... | aiozai/AIOZ-GDANCE | [
"language:en",
"license:other",
"region:us"
] | 2023-12-01T16:37:55+00:00 | {"language": ["en"], "license": "other", "license_name": "aioz-license", "license_link": "LICENSE"} | 2023-12-04T02:32:54+00:00 | [] | [
"en"
] | TAGS
#language-English #license-other #region-us
|
# Music-Driven Group Choreography (CVPR 2023)
### *Nhat Le, Thang Pham, Tuong Do, Erman Tjiputra, Quang D. Tran, Anh Nguyen*
### [Project Page] [Paper]
",
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"license:apache-2.0",
"region:us"
] | 2023-12-01T17:49:09+00:00 | {"license": "apache-2.0"} | 2023-12-16T18:58:01+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This is a code specific dataset. It contains two-turn questions and answers. The first question/answer pair comes from glaiveai/glaive-code-assistant-v2. The second question (follow-up) was generated and answered by Claude-2. | [] | [
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ec97b77e96b8c92da0371dc3725f1c23fc641d21 | # Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic
**Homepage:** [https://www.stratosphereips.org/datasets-iot23](https://www.stratosphereips.org/datasets-iot23)
This dataset contains a subset of the data from 20 captures of Malcious network traffic and 3 captures from live Benign Tra... | yashika0998/iot-23-preprocessed | [
"task_categories:question-answering",
"task_categories:tabular-classification",
"language:en",
"code",
"region:us"
] | 2023-12-01T18:02:50+00:00 | {"language": ["en"], "task_categories": ["question-answering", "tabular-classification"], "pretty_name": "d", "dataset_info": {"features": [{"name": "id.orig_p", "dtype": "int64"}, {"name": "id.resp_p", "dtype": "int64"}, {"name": "proto", "dtype": "string"}, {"name": "service", "dtype": "string"}, {"name": "duration",... | 2023-12-01T18:27:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-tabular-classification #language-English #code #region-us
| # Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic
Homepage: URL
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7b0927c307a94d3585de25821d89f44cd18b40d5 | # Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic
**Homepage:** [https://www.stratosphereips.org/datasets-iot23](https://www.stratosphereips.org/datasets-iot23)
This dataset contains a subset of the data from 20 captures of Malcious network traffic and 3 captures from live Benign Tra... | yashika0998/iot-23-preprocessed-allcolumns | [
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| # Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic
Homepage: URL
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56322d544010ccda54f68c2f8e3beb14203a1efa | # 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... | Dnsibu/serials | [
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"en"
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#task_categories-token-classification #size_categories-n<1K #language-English #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by:
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
### Dataset Sources [opti... | [
"# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"## Dataset Details",
"### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:"... | [
"TAGS\n#task_categories-token-classification #size_categories-n<1K #language-English #region-us \n",
"# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
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b4ac8bab3bb80222a3ed7332589112d7e1e64280 |
### Dataset Description
This media storms dataset contains metadata and full text descriptions of all news articles identified as media storms in our paper "When it Rains it Pours: Modeling Media Storms and the News Ecosystem".
For only the news articles identified in media storms, use the smaller mediaStormArticle... | Blablablab/mediaStorms | [
"arxiv:2102.04567",
"arxiv:2203.05659",
"region:us"
] | 2023-12-01T19:36:30+00:00 | {} | 2023-12-26T20:44:11+00:00 | [
"2102.04567",
"2203.05659"
] | [] | TAGS
#arxiv-2102.04567 #arxiv-2203.05659 #region-us
|
### Dataset Description
This media storms dataset contains metadata and full text descriptions of all news articles identified as media storms in our paper "When it Rains it Pours: Modeling Media Storms and the News Ecosystem".
For only the news articles identified in media storms, use the smaller URL file. For all... | [
"### Dataset Description\n\nThis media storms dataset contains metadata and full text descriptions of all news articles identified as media storms in our paper \"When it Rains it Pours: Modeling Media Storms and the News Ecosystem\". \n\nFor only the news articles identified in media storms, use the smaller URL fil... | [
"TAGS\n#arxiv-2102.04567 #arxiv-2203.05659 #region-us \n",
"### Dataset Description\n\nThis media storms dataset contains metadata and full text descriptions of all news articles identified as media storms in our paper \"When it Rains it Pours: Modeling Media Storms and the News Ecosystem\". \n\nFor only the news... | [
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"passage: TAGS\n#arxiv-2102.04567 #arxiv-2203.05659 #region-us \n### Dataset Description\n\nThis media storms dataset contains metadata and full text descriptions of all news articles identified as media storms in our paper \"When it Rains it Pours: Modeling Media Storms and the News Ecosystem\". \n\nFor only the n... |
a28cdbff6f8f18806f13ee88e4897d85d2ce0678 | # Dataset Card for "tokenized_dataset_bart"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | witchling22/tokenized_dataset_bart | [
"region:us"
] | 2023-12-01T20:10:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "source_labels", "dtype": "string"}, {"name"... | 2023-12-01T20:10:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tokenized_dataset_bart"
More Information needed | [
"# Dataset Card for \"tokenized_dataset_bart\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tokenized_dataset_bart\"\n\nMore Information needed"
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6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"tokenized_dataset_bart\"\n\nMore Information needed"
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4cdd7e80b4a74048e403687cd01d4807c530c223 |
This is a data on fake news and for elections 2024 , specially curated to highlight racial slurs and discriminations in political speeches.
https://arxiv.org/abs/2312.03750
## Citation
If you use this dataset in your research, please cite it as follows:
```bibtex
@article{rahman2023analyzing,
title={Analyzing th... | newsmediabias/fake_news_elections2024 | [
"license:openrail",
"arxiv:2312.03750",
"region:us"
] | 2023-12-01T20:21:28+00:00 | {"license": "openrail"} | 2024-01-06T17:31:22+00:00 | [
"2312.03750"
] | [] | TAGS
#license-openrail #arxiv-2312.03750 #region-us
|
This is a data on fake news and for elections 2024 , specially curated to highlight racial slurs and discriminations in political speeches.
URL
If you use this dataset in your research, please cite it as follows:
'''bibtex
@article{rahman2023analyzing,
title={Analyzing the Impact of Fake News on the Anticipated O... | [] | [
"TAGS\n#license-openrail #arxiv-2312.03750 #region-us \n"
] | [
21
] | [
"passage: TAGS\n#license-openrail #arxiv-2312.03750 #region-us \n"
] |
c652513690a97f317a6000f85a5111b71686c798 |
# SOCRATIS: A benchmark of diverse open-ended emotional reactions to image-caption pairs.
### ICCV WECIA Workshop 2023 (oral)
[Project Page](https://kdeng55.github.io/socratis-website/), [Paper](https://arxiv.org/abs/2308.16741)
We release a benchmark which contains 18K diverse emotions and reasons for feeling t... | array/socratis_image_text_emotion | [
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:conversational",
"license:mit",
"arxiv:2308.16741",
"region:us"
] | 2023-12-01T20:25:13+00:00 | {"license": "mit", "task_categories": ["text-classification", "image-classification", "conversational"]} | 2023-12-01T20:47:36+00:00 | [
"2308.16741"
] | [] | TAGS
#task_categories-text-classification #task_categories-image-classification #task_categories-conversational #license-mit #arxiv-2308.16741 #region-us
|
# SOCRATIS: A benchmark of diverse open-ended emotional reactions to image-caption pairs.
### ICCV WECIA Workshop 2023 (oral)
Project Page, Paper
We release a benchmark which contains 18K diverse emotions and reasons for feeling them on 2K image-caption pairs.
Our current preliminary findings have shown that H... | [
"# SOCRATIS: A benchmark of diverse open-ended emotional reactions to image-caption pairs.",
"### ICCV WECIA Workshop 2023 (oral)\n\nProject Page, Paper \n\nWe release a benchmark which contains 18K diverse emotions and reasons for feeling them on 2K image-caption pairs. \n\nOur current preliminary findings have... | [
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"# SOCRATIS: A benchmark of diverse open-ended emotional reactions to image-caption pairs.",
"### ICCV WECIA Workshop 2023 (oral)\n\nProject Page, Pap... | [
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