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af71effd6410078b0b8b2859aabe497b189a8260 | # Dataset Card for "Wikipedia_5gram_more_orders"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/Wikipedia_5gram_more_orders | [
"region:us"
] | 2023-01-31T11:14:39+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3729298637, "num_examples": 1894957}], "download_size": 2399612708, "dataset_size": 3729298637}} | 2023-02-01T22:19:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wikipedia_5gram_more_orders"
More Information needed | [
"# Dataset Card for \"Wikipedia_5gram_more_orders\"\n\nMore Information needed"
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cd91fb6d2ee07c29c24accbf04d5454c89e8b2e8 | # Dataset Card for "boostcamp-docvqa-v3-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ssunbell/boostcamp-docvqa-v3-test | [
"region:us"
] | 2023-01-31T11:18:55+00:00 | {"dataset_info": {"features": [{"name": "questionId", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "sequence": {"sequence": {"sequence": {"sequence": "uint8"}}}}, {"name": "docId", "dtype": "int64"}, {"name": "ucsf_document_id", "dtype": "string"}, {"name": "ucsf_document_page_no", "dty... | 2023-01-31T11:20:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "boostcamp-docvqa-v3-test"
More Information needed | [
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019f5d6c88be9c55b605076c88da75aa3d39de7f |
# MIRACL (ru) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ru-queries-22-12](https://huggingface.... | Cohere/miracl-ru-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ru",
"license:apache-2.0",
"region:us"
] | 2023-01-31T11:24:36+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ru"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:56:20+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Russian #license-apache-2.0 #region-us
| MIRACL (ru) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ru-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
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5496cca11b191bf58ad8bad91da85af5a35a8734 |
# Miyuki Character LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: ```miyuki```.
I would suggest using the token with AbyssOrangeMix2, but not with Kenshi, since I ... | Nerfgun3/miyuki-shiba_LoRA | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-31T12:08:33+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/miyuki-shiba_LoRA/resolve/main/preview/preview%20(1).png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-31T12:22:58+00:00 | [] | [
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] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Miyuki Character LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: .
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5240f784fb2f0b59d51358464c25d60dd0959015 |
# MIRACL (ru) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ru-queries-22-12](https://huggingface.... | Cohere/miracl-ru-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
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"multilinguality:multilingual",
"language:ru",
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"region:us"
] | 2023-01-31T12:18:51+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ru"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:56:00+00:00 | [] | [
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] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Russian #license-apache-2.0 #region-us
| MIRACL (ru) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ru-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
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5f4c79d0710fffe58328dfa2795a64b927cca5de | # Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hugg... | flow3rdown/MarKG | [
"language:en",
"license:mit",
"region:us"
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] | TAGS
#language-English #license-mit #region-us
| # Dataset Card for Dataset Name
## Dataset Description
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- Repository:
- Paper:
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- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
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# MIRACL (zh) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-zh-queries-22-12](https://huggingface.... | Cohere/miracl-zh-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-01-31T13:13:33+00:00 | {"annotations_creators": ["expert-generated"], "language": ["zh"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:55:44+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Chinese #license-apache-2.0 #region-us
| MIRACL (zh) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-zh-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
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da70cd209896584e91cccac9c86092ec9c25c2c1 | # Dataset Card for "wikipedia.reorder.SVO"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.reorder.SVO | [
"region:us"
] | 2023-01-31T13:29:50+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4083836556, "num_examples": 1986076}], "download_size": 1989232973, "dataset_size": 4083836556}} | 2023-01-31T16:41:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia.reorder.SVO"
More Information needed | [
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6d9607deb61364812da24e285f35d6463f8910fa | # Dataset Card for "wikipedia.reorder.VOS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.reorder.VOS | [
"region:us"
] | 2023-01-31T13:37:46+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4083836556, "num_examples": 1986076}], "download_size": 2018381284, "dataset_size": 4083836556}} | 2023-01-31T17:40:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia.reorder.VOS"
More Information needed | [
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# MIRACL (zh) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-zh-queries-22-12](https://huggingface.... | Cohere/miracl-zh-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-01-31T13:38:51+00:00 | {"annotations_creators": ["expert-generated"], "language": ["zh"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:55:33+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Chinese #license-apache-2.0 #region-us
| MIRACL (zh) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-zh-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
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3c25218126e5a3ea1a8f1ee6d1646d42b5d40646 | # Dataset Card for "lex_fridman_podcast"
### Dataset Summary
This dataset contains transcripts from the [Lex Fridman podcast](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4) (Episodes 1 to 325).
The transcripts were generated using [OpenAI Whisper](https://github.com/openai/whisper) (large m... | nmac/lex_fridman_podcast | [
"task_categories:automatic-speech-recognition",
"task_categories:sentence-similarity",
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"language:en",
"podcast",
"whisper",
"region:us"
] | 2023-01-31T13:40:48+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["automatic-speech-recognition", "sentence-similarity"], "tags": ["podcast", "whisper"]} | 2023-01-31T16:24:07+00:00 | [] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #podcast #whisper #region-us
| # Dataset Card for "lex_fridman_podcast"
### Dataset Summary
This dataset contains transcripts from the Lex Fridman podcast (Episodes 1 to 325).
The transcripts were generated using OpenAI Whisper (large model) and made publicly available at: URL
### Languages
- English
## Dataset Structure
The dataset contains... | [
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5f326be836f64a96e42641983de3e5feafbc835c | # Dataset Card for "cqadupstack"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Additional Information... | LLukas22/cqadupstack | [
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"size_categories:100K<n<1M",
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] | 2023-01-31T14:18:36+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["sentence-similarity", "feature-extraction"]} | 2023-04-30T18:24:35+00:00 | [] | [
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#task_categories-sentence-similarity #task_categories-feature-extraction #size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us
| # Dataset Card for "cqadupstack"
## Table of Contents
- Table of Contents
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7c4aa0946d69f52ef275002e06b3f820e6482a8d |
# Dataset Card for "cqadupstack"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Additional Informatio... | LLukas22/fiqa | [
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# Dataset Card for "cqadupstack"
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1baa368cfa1f9ed519094506c7a6ad9ca0a84393 | # Dataset Card for "COCO_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mvoisin/TinyCOCO | [
"region:us"
] | 2023-01-31T15:13:11+00:00 | {"viewer": true, "dataset_info": {"features": [{"name": "image_id", "dtype": "int64"}, {"name": "image_url", "dtype": "string"}, {"name": "objects", "struct": [{"name": "bbox", "sequence": {"sequence": "float64"}}, {"name": "category", "sequence": "int64"}, {"name": "id", "sequence": "int64"}]}], "splits": [{"name": "t... | 2023-01-31T18:04:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "COCO_small"
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a02398901b5fc024a421164518a4d1f033e0a30b | # Dataset Card for "Paragraphs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nlpproject2023/Paragraphs | [
"region:us"
] | 2023-01-31T15:15:53+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "context", "struct": [{"name": "sentences", "sequence": {"sequence": "string"}}, {"name": "title", "sequence": "string"}]}], "splits": [{"name": "validation", "num_bytes": 5269319, "num_examples": 4523}, ... | 2023-01-31T15:16:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Paragraphs"
More Information needed | [
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f246a33a48cbfabfc37f1c1d7b853407bdfc4e6b |
# Realms Adventurer Dataset for Text-to-Image
This dataset contains annotated image-caption pairs with a specific structure.
## Example
```json
{
"file_name": "91200682-07_giants.png",
"sex": "male",
"race": "giant",
"class": "mage",
"inherent_features": "red flowers growing on his skin",
"c... | rvorias/realms_adventurers | [
"task_categories:text-to-image",
"size_categories:n<1K",
"language:en",
"license:other",
"stable-diffusion",
"realms",
"region:us"
] | 2023-01-31T15:21:38+00:00 | {"language": ["en"], "license": "other", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "pretty_name": "Realms Adventurers Dataset", "tags": ["stable-diffusion", "realms"]} | 2023-03-28T18:24:42+00:00 | [] | [
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|
# Realms Adventurer Dataset for Text-to-Image
This dataset contains annotated image-caption pairs with a specific structure.
## Example
## Usage
## Annotation tooling
Label-studio was used to organize and create annotations. | [
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9661cd9222c20f7241329bafd0e3737e2b06076c | # Dataset Card for "OxfordFlowers_test_facebook_opt_6.7b_Attributes_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_6.7b_Attributes_ns_6149 | [
"region:us"
] | 2023-01-31T15:45:32+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-31T15:45:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_6.7b_Attributes_ns_6149"
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06fd1b090bceecc0ce724cd21578ba7a6664fe8d |
Redistributed without modification from https://github.com/phelber/EuroSAT.
EuroSAT100 is a subset of EuroSATallBands containing only 100 images. It is intended for tutorials and demonstrations, not for benchmarking. | torchgeo/eurosat | [
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"region:us"
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Redistributed without modification from URL
EuroSAT100 is a subset of EuroSATallBands containing only 100 images. It is intended for tutorials and demonstrations, not for benchmarking. | [] | [
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4864c7b188fa519c2f752b4cdd1e82caa6effb76 | # Dataset Card for "OxfordFlowers_test_facebook_opt_6.7b_Attributes_Caption_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_6.7b_Attributes_Caption_ns_6149 | [
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#region-us
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2672c8c413411970411c30ad58d6cc716e675b57 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_6.7b_Attributes_Caption_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_6.7b_Attributes_Caption_ns_6084 | [
"region:us"
] | 2023-01-31T18:13:00+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-31T20:07:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_6.7b_Attributes_Caption_ns_6084"
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103e773adb8eea7e2d41a8a746697ec070792144 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_6.7b_Visclues_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_6.7b_Visclues_ns_6084 | [
"region:us"
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bb119e18a3c33015dde802e337987463a9ec4add | # Dataset Card for "wikipedia.reorder.OSV"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.reorder.OSV | [
"region:us"
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#region-us
| # Dataset Card for "wikipedia.reorder.OSV"
More Information needed | [
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d8ad11be7981d42ae8f200ff773570345c251f18 | # Dataset Card for "350k_dataset_health_ar_en_th"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/350k_dataset_health_ar_en_th | [
"region:us"
] | 2023-01-31T19:00:28+00:00 | {"dataset_info": {"features": [{"name": "ar", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "th", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 4370651, "num_examples": 10078}, {"name": "test", "num_bytes": 4378778, "num_examples": 10108}, {"name": "train", "num_bytes": 122924727... | 2023-01-31T19:00:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "350k_dataset_health_ar_en_th"
More Information needed | [
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83ae38cb544e836c9ff84a4666c17432b8b0d6f1 |
# 20,000+ chinese sentences with translations and pinyin
- Source: https://mnemosyne-proj.org/cards/20000-chinese-sentences-translations-and-pinyin
- Contributed by: Brian Vaughan http://brianvaughan.net/
# Dataset Structure
Each sample consists of:
1. English sentence
2. HSK level
3. Chinese translation
4. Pinyin
5... | swaption2009/20k-en-zh-translation-pinyin-hsk | [
"task_categories:translation",
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"region:us"
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#task_categories-translation #language-English #language-Chinese #region-us
|
# 20,000+ chinese sentences with translations and pinyin
- Source: URL
- Contributed by: Brian Vaughan URL
# Dataset Structure
Each sample consists of:
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2. HSK level
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3d3d27aa7af8941408cefc3991ada5d12a4273d1 |
# SNL Summarization Dataset
The source of this dataset is a web scrape of SNL (Store Norske Leksikon), a publicly owned Norwegian encyclopedia. Articles in SNL are structured so that the first para
graph (the lead) acts as a summary of the entire article.
## Methodology
From our thesis:
We couldnβt find any exis... | navjordj/SNL_summarization | [
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# SNL Summarization Dataset
The source of this dataset is a web scrape of SNL (Store Norske Leksikon), a publicly owned Norwegian encyclopedia. Articles in SNL are structured so that the first para
graph (the lead) acts as a summary of the entire article.
## Methodology
From our thesis:
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538395897d14a7d8249a14eadb97ff262ee865e6 | # Dataset Card for "identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SDbiaseval/identities | [
"region:us"
] | 2023-01-31T21:14:22+00:00 | {"dataset_info": {"features": [{"name": "ethnicity", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "no", "dtype": "int32"}, {"name": "image_path", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "model", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 585336673.0, ... | 2023-01-31T21:21:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "identities"
More Information needed | [
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d0af6e2eeea2322af86078068bd83337148a2149 | Redistributed from http://weegee.vision.ucmerced.edu/datasets/landuse.html without modification. See https://www.usgs.gov/faqs/what-are-terms-uselicensing-map-services-and-data-national-map for license. | torchgeo/ucmerced | [
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483f6c8f83c1ef721461f24751c6fd5ccd061a59 |
# Dataset Card for MultiLegalPileWikipediaFiltered: A filtered version of the MultiLegalPile dataset, together with wikipedia articles
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Lead... | joelniklaus/MultiLegalPileWikipediaFiltered | [
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====================================================================================================================================
Table of Contents
-----------------
* Table of Con... | [
"### Dataset Summary\n\n\nThe Multi\\_Legal\\_Pile is a large-scale multilingual legal dataset suited for pretraining language models.\nIt spans over 24 languages and four legal text types.",
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40118247edd030d7bda32baede553414efab6b19 |
# Enaic31 Artstyle LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: ```skistyle```.
I would suggest using the token with AbyssOrangeMix2, but not with Kenshi, since ... | Nerfgun3/enaic31_LoRA | [
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"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-31T22:04:21+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/enaic31_LoRA/resolve/main/preview/Preview%20(1).png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-31T22:22:09+00:00 | [] | [
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|
# Enaic31 Artstyle LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: .
I would suggest using the token with AbyssOrangeMix2, but not with Kenshi, since I got better r... | [
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32c401cf2474b9249e6881a3b09469189e3df757 | # Dataset Card for SemEval2018Task7
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-s... | Basvoju/SemEval2018Task7 | [
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"Relation Classification",
"Relation extraction",
"Scien... | 2023-01-31T22:13:20+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["entity-linking-classification"], "paperswithcode_... | 2023-02-03T12:59:36+00:00 | [] | [
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=================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rat... | [
"### Dataset Summary\n\n\nSemeval2018Task7 is a dataset that describes the Semantic Relation Extraction and Classification in Scientific Papers.\nThe challenge focuses on domain-specific semantic relations and includes three different subtasks. The subtasks were designed so as to compare and quantify the effect of ... | [
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2087f7c3a05a18c34cc916374017205b1d1dd6fd | # Dataset Card for "patched_test_p_80_m1_predictions_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_test_p_80_m1_predictions_v2 | [
"region:us"
] | 2023-01-31T22:26:20+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 1345772120, "num_examples": 2362374}], "download_size": 118878695, "dataset_size": 1345... | 2023-01-31T22:26:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_test_p_80_m1_predictions_v2"
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853eb0af253a307ead4db0a80e03d86d3ec436e2 |
Manually created seed dataset used in bootstrapping in the Self-instruct paper https://arxiv.org/abs/2212.10560. This is part of the instruction fine-tuning datasets. | HuggingFaceH4/self-instruct-seed | [
"task_categories:conversational",
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"2212.10560"
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|
Manually created seed dataset used in bootstrapping in the Self-instruct paper URL This is part of the instruction fine-tuning datasets. | [] | [
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5e66ccbecb559b13e26923c982f1dc7b0fca7f38 |
This dataset is part of the Anthropic's HH data used to train their RLHF Assistant https://github.com/anthropics/hh-rlhf.
The data contains the first utterance from human to the dialog agent and the number of words in that utterance. The sampled version is a random sample of size 200. | HuggingFaceH4/hh-rlhf | [
"task_categories:conversational",
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"license:mit",
"region:us"
] | 2023-01-31T22:37:47+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["conversational"]} | 2023-01-31T22:46:52+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #language-English #license-mit #region-us
|
This dataset is part of the Anthropic's HH data used to train their RLHF Assistant URL
The data contains the first utterance from human to the dialog agent and the number of words in that utterance. The sampled version is a random sample of size 200. | [] | [
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14846cdb76137d189c6626ebffa5f51060bf0cf2 | # Dataset Card for "FGVC_Aircraft_test_facebook_opt_350m_Attributes_Caption_ns_3333"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/FGVC_Aircraft_test_facebook_opt_350m_Attributes_Caption_ns_3333 | [
"region:us"
] | 2023-01-31T23:45:42+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T00:06:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FGVC_Aircraft_test_facebook_opt_350m_Attributes_Caption_ns_3333"
More Information needed | [
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a647120cd958138d2e6dc3982a096031d9388fe6 | # Dataset Card for "FGVC_Aircraft_test_facebook_opt_350m_Visclues_ns_3333"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/FGVC_Aircraft_test_facebook_opt_350m_Visclues_ns_3333 | [
"region:us"
] | 2023-01-31T23:49:45+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T00:16:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FGVC_Aircraft_test_facebook_opt_350m_Visclues_ns_3333"
More Information needed | [
"# Dataset Card for \"FGVC_Aircraft_test_facebook_opt_350m_Visclues_ns_3333\"\n\nMore Information needed"
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3baa66c608ebe69c697d8dbdf3a781c89e5771dc | # Dataset Card for "c4-dedup"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | datablations/c4-filter | [
"region:us"
] | 2023-02-01T00:15:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "perplexity_score", "dtype": "float64"}, {"name": "text_length", "dtype": "int64"}, {"name": "domain", "dtype": "null"}, {"name": "dup_ratio", "dtype": "float64"}, {... | 2023-02-01T10:29:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c4-dedup"
More Information needed | [
"# Dataset Card for \"c4-dedup\"\n\nMore Information needed"
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dc7414c7bfd84c65af77209a9e18b229cf8ed127 | # Dataset Card for "FGVC_Aircraft_test_facebook_opt_1.3b_Attributes_Caption_ns_3333"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/FGVC_Aircraft_test_facebook_opt_1.3b_Attributes_Caption_ns_3333 | [
"region:us"
] | 2023-02-01T00:26:33+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T00:57:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FGVC_Aircraft_test_facebook_opt_1.3b_Attributes_Caption_ns_3333"
More Information needed | [
"# Dataset Card for \"FGVC_Aircraft_test_facebook_opt_1.3b_Attributes_Caption_ns_3333\"\n\nMore Information needed"
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5e5f230b00231a8f1aadf63f3bcbd2ed42fc4bba | # Dataset Card for "FGVC_Aircraft_test_facebook_opt_1.3b_Visclues_ns_3333"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/FGVC_Aircraft_test_facebook_opt_1.3b_Visclues_ns_3333 | [
"region:us"
] | 2023-02-01T00:32:01+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T01:13:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FGVC_Aircraft_test_facebook_opt_1.3b_Visclues_ns_3333"
More Information needed | [
"# Dataset Card for \"FGVC_Aircraft_test_facebook_opt_1.3b_Visclues_ns_3333\"\n\nMore Information needed"
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0b595fb6a7b5df5b9e02c7612bbfd5a2936585d6 | # Dataset Card for "news-summary"
## Dataset Description
- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset?select=True.csv
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.
### Dataset Summary
Can you use this data set... | jeffboudier/argilla-news-summary | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-4.0",
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] | 2023-02-01T02:08:38+00:00 | {"language": ["en"], "license": ["cc-by-nc-4.0"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "prediction", "list": [{"name": "score", "d... | 2023-02-01T02:08:39+00:00 | [] | [
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] | TAGS
#task_categories-summarization #task_ids-news-articles-summarization #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us
| # Dataset Card for "news-summary"
## Dataset Description
- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
### Dataset Summary
Can you use this data set to summarize news articles?
### Languages
english
Acknowledgements
Ahmed H, Traore I, Saad S. βDete... | [
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99fc6fed11280eace9b174001e3d4eb1398b6e5e | # Dataset Card for "ko-conversation-summary"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mk9165/ko-conversation-summary | [
"region:us"
] | 2023-02-01T02:13:01+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 120472570, "num_examples": 279992}, {"name": "test", "num_bytes": 15123198, "num_examples": 35004}], "download_size": 87984817, "dataset_size": 135595768}} | 2023-02-01T02:13:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ko-conversation-summary"
More Information needed | [
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f6dd3ef1cfd2a3afd02c2327c6702a611dca38b2 | # Dataset Card for "ko-voicefishing-classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mk9165/ko-voicefishing-classification | [
"region:us"
] | 2023-02-01T02:13:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2626452, "num_examples": 1012}], "download_size": 1386022, "dataset_size": 2626452}} | 2023-02-01T02:13:38+00:00 | [] | [] | TAGS
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More Information needed | [
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681187292ef1f437dd1d4b3788386067f28d4102 | # Dataset Card for "FGVC_Aircraft_test_facebook_opt_6.7b_Attributes_Caption_ns_3333"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/FGVC_Aircraft_test_facebook_opt_6.7b_Attributes_Caption_ns_3333 | [
"region:us"
] | 2023-02-01T03:05:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T04:12:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FGVC_Aircraft_test_facebook_opt_6.7b_Attributes_Caption_ns_3333"
More Information needed | [
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25c371066a319f84d08d84f5482c5467a18df380 | # Dataset Card for "FGVC_Aircraft_test_facebook_opt_6.7b_Visclues_ns_3333"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/FGVC_Aircraft_test_facebook_opt_6.7b_Visclues_ns_3333 | [
"region:us"
] | 2023-02-01T03:15:21+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T04:47:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FGVC_Aircraft_test_facebook_opt_6.7b_Visclues_ns_3333"
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68ec9341944c12f89312d32e75a7334b67e7f176 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: sschet/biobert_diseases_ner
* Dataset: chintagunta85/ncbi_disease
* Config: ncbi_disease
* Split: test
... | autoevaluate/autoeval-eval-chintagunta85__ncbi_disease-ncbi_disease-f4d843-3192989822 | [
"autotrain",
"evaluation",
"region:us"
] | 2023-02-01T03:51:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["chintagunta85/ncbi_disease"], "eval_info": {"task": "entity_extraction", "model": "sschet/biobert_diseases_ner", "metrics": [], "dataset_name": "chintagunta85/ncbi_disease", "dataset_config": "ncbi_disease", "dataset_split": "test", "col_mapping... | 2023-02-01T03:52:18+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: sschet/biobert_diseases_ner
* Dataset: chintagunta85/ncbi_disease
* Config: ncbi_disease
* Split: test
To run new evaluation jobs, visit H... | [
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1d947f0a391e10a076c0512edaedacf01e6f25bb | # Dataset Card for "bookcorpus_compact_1024_shard5_of_10_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard5_of_10_meta | [
"region:us"
] | 2023-02-01T04:33:47+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}, {"name": "cid_arrangement", "sequence": "int32"}, {"name": "schema_lengths", "sequence": "int64"}, {"name": "topic_entity_mask", "sequence": "int64"}, {"name": "text_lengths", "sequence": "int64"}], "... | 2023-02-01T04:38:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard5_of_10_meta"
More Information needed | [
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36c874d8bb11e43698ae09f989984aa1cda7b76d |
# Aubrey Plaza textual inversion
This is an embedding of the amazing Aubrey Plaza.
## Version 2:
## Version 1:
![Detailed Samples](https://huggingface.co/datasets/zuleo/aubrey-plaza/resolve/main/images/grid1.pn... | zuleo/aubrey-plaza | [
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"stable-diffusion",
"embedding",
"textual-inversion",
"text-to-image",
"image-to-image",
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"region:us"
] | 2023-02-01T06:15:02+00:00 | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "embedding", "textual-inversion", "text-to-image", "image-to-image", "art", "artistic"]} | 2023-03-06T19:18:38+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #stable-diffusion #embedding #textual-inversion #text-to-image #image-to-image #art #artistic #region-us
| Aubrey Plaza textual inversion
==============================
This is an embedding of the amazing Aubrey Plaza.
Version 2:
----------
!Detailed Samples
Version 1:
----------
!Detailed Samples
Embedding Usage
---------------
Use the token
### Previous versions:
!Detailed Samples
---
Prompt Examp... | [
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b667fab7a2efacb4b040d0069aeff234bf5cab9b |
# Dataset Card for ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
... | ds4sd/icdar2023-doclaynet | [
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|
# Dataset Card for ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Dataset Structure
- Data Fields
- Data Splits
- Dataset Creation
- Annotations
- Additional Inf... | [
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b7847b743802d8a438e291f05919f85f75b56dc3 |
# Snow Mountain
## Dataset Description
- **Paper: https://arxiv.org/abs/2206.01205**
- **Point of Contact: Joel Mathew**
### Dataset Summary
The Snow Mountain dataset contains the audio recordings (in .mp3 format) and the corresponding text of The Bible (contains both Old Testament (OT) and New Testament (NT)) in ... | bridgeconn/snow-mountain | [
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... | 2023-02-01T07:23:54+00:00 | {"annotations_creators": [{}], "language_creators": [{}], "language": ["hi", "bgc", "kfs", "dgo", "bhd", "gbk", "xnr", "kfx", "mjl", "kfo", "bfz"], "license": "cc-by-sa-4.0", "multilinguality": ["multilingual"], "source_datasets": ["Snow Mountain"], "task_categories": ["automatic-speech-recognition", "text-to-speech"],... | 2023-05-23T04:42:14+00:00 | [
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# Snow Mountain
## Dataset Description
- Paper: URL
- Point of Contact: Joel Mathew
### Dataset Summary
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2ae1a82e7907ca4447874ede02df3289f94ecce8 | # BIG-bench Hard dataset
homepage: https://github.com/suzgunmirac/BIG-Bench-Hard
```
@article{suzgun2022challenging,
title={Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them},
author={Suzgun, Mirac and Scales, Nathan and Sch{\"a}rli, Nathanael and Gehrmann, Sebastian and Tay, Yi and Chung, H... | lukaemon/bbh | [
"region:us"
] | 2023-02-01T07:46:51+00:00 | {"dataset_info": [{"config_name": "boolean_expressions", "features": [{"name": "input", "dtype": "string"}, {"name": "target", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 11790, "num_examples": 250}], "download_size": 17172, "dataset_size": 11790}, {"config_name": "causal_judgement", "features": [{"na... | 2023-02-02T01:14:46+00:00 | [] | [] | TAGS
#region-us
| # BIG-bench Hard dataset
homepage: URL
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ff0c2066dbab0fc2411c7ab8032952108c42d158 | # Dataset Card for "educatinayt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juancopi81/educatinayt | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"medium",
"region:us"
] | 2023-02-01T09:37:56+00:00 | {"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TITLE", "dtype": "string"}, {"name": "DESCRIPTION", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "SEGMENTS", "dtype... | 2023-02-09T14:34:40+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us
| # Dataset Card for "educatinayt"
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822103d61820ec3fe16054cea64468521c2621d9 |
MMLU (`hendrycks_test` on huggingface) without auxiliary train. It is much lighter (7MB vs 162MB) and faster than the original implementation, in which auxiliary train is loaded (+ duplicated!) by default for all the configs in the original version, making it quite heavy.
We use this version in [tasksource](https://h... | tasksource/mmlu | [
"task_categories:text-classification",
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"language:en",
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"re... | 2023-02-01T10:20:16+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-classification", "multiple-choice", "question-answering"], "task_ids": ["multiple-choice-qa", "open-domain-qa", "closed-domain-qa"], "pretty_name": "mmlu", "tags": ["multi-task", "multitask", "mmlu", "hendrycks_test"]} | 2023-03-31T19:44:21+00:00 | [] | [
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|
MMLU ('hendrycks_test' on huggingface) without auxiliary train. It is much lighter (7MB vs 162MB) and faster than the original implementation, in which auxiliary train is loaded (+ duplicated!) by default for all the configs in the original version, making it quite heavy.
We use this version in tasksource.
Referenc... | [] | [
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60067b257337df8d7879142d870944fe4c6ab20d | # Negative Embedding
This is a Negative Embedding trained with Counterfeit. Please use it in the "\stable-diffusion-webui\embeddings" folder.
It can be used with other models, but the effectiveness is not certain.
# Counterfeit-V2.0.safetensors
![sample1](https://huggingface.co/datasets/gsdf/EasyNegative/resolv... | gsdf/EasyNegative | [
"license:other",
"region:us"
] | 2023-02-01T10:58:06+00:00 | {"license": "other"} | 2023-02-12T14:39:30+00:00 | [] | [] | TAGS
#license-other #region-us
| # Negative Embedding
This is a Negative Embedding trained with Counterfeit. Please use it in the "\stable-diffusion-webui\embeddings" folder.
It can be used with other models, but the effectiveness is not certain.
# Counterfeit-V2.0.safetensors
!sample1
# AbyssOrangeMix2_sfw.safetensors
!sample2
# anything-v4.0... | [
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de9abbd1f20a278168fc95fc9d12d827f3ecc58c | ---
TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
---
# Dataset Card for [Qsh-da-msa]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dat... | Quds/Qsh-da-msa | [
"license:openrail",
"region:us"
] | 2023-02-01T11:09:12+00:00 | {"license": "openrail"} | 2023-02-01T13:06:25+00:00 | [] | [] | TAGS
#license-openrail #region-us
| ---
TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: URL
---
# Dataset Card for [Qsh-da-msa]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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"passage: TAGS\n#license-openrail #region-us \n# Dataset Card for [Qsh-da-msa]## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n -... |
161bee1a68cd4bc4f00b47f12a905616dc376791 | # Dataset Card for "bookcorpus_compact_1024_shard4_of_10_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard4_of_10_meta | [
"region:us"
] | 2023-02-01T11:25:32+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}, {"name": "cid_arrangement", "sequence": "int32"}, {"name": "schema_lengths", "sequence": "int64"}, {"name": "topic_entity_mask", "sequence": "int64"}, {"name": "text_lengths", "sequence": "int64"}], "... | 2023-02-01T11:30:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard4_of_10_meta"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_1024_shard4_of_10_meta\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bookcorpus_compact_1024_shard4_of_10_meta\"\n\nMore Information needed"
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29
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"passage: TAGS\n#region-us \n# Dataset Card for \"bookcorpus_compact_1024_shard4_of_10_meta\"\n\nMore Information needed"
] |
bc5f49d9af4324cfc4bc541b1640b83dca960ff0 | # Dataset Card for "wikipedia.reorder.natural"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.reorder.natural | [
"region:us"
] | 2023-02-01T11:35:57+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4083836556, "num_examples": 1986076}], "download_size": 1930664504, "dataset_size": 4083836556}} | 2023-02-01T11:38:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia.reorder.natural"
More Information needed | [
"# Dataset Card for \"wikipedia.reorder.natural\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wikipedia.reorder.natural\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"wikipedia.reorder.natural\"\n\nMore Information needed"
] |
708273595ad8cbf9a3759c70ad1aa0d3566b136f | # Dataset Card for "devign_with_vul_lines"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EddieChen372/devign_with_vul_lines | [
"region:us"
] | 2023-02-01T12:14:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "func", "dtype": "string"}, {"name": "target", "dtype": "bool"}, {"name": "project", "dtype": "string"}, {"name": "commit_id", "dtype": "string"}, {"name": "func_clean", "dtype": "string"}, {"name": "vul_lines", "struct": [{"name": "code", "seque... | 2023-02-04T15:24:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "devign_with_vul_lines"
More Information needed | [
"# Dataset Card for \"devign_with_vul_lines\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"devign_with_vul_lines\"\n\nMore Information needed"
] | [
6,
19
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"passage: TAGS\n#region-us \n# Dataset Card for \"devign_with_vul_lines\"\n\nMore Information needed"
] |
614d376b21336fb6d0fb6ff652ce739028949c01 |
# Dataset Card for VIVOS
## Table of Contents
- [Dataset Card for VIVOS](#dataset-card-for-vivos)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Lan... | Martha-987/vivos | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:vi",
"license:cc-by-nc-sa-4.0",
"regio... | 2023-02-01T12:30:52+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["vi"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task... | 2023-02-01T13:04:57+00:00 | [] | [
"vi"
] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Vietnamese #license-cc-by-nc-sa-4.0 #region-us
| Dataset Card for VIVOS
======================
Table of Contents
-----------------
* Dataset Card for VIVOS
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Dataset Creation
... | [
"### Dataset Summary\n\n\nVIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Vietnamese Automatic Speech Recognition task.\n\n\nThe corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of.\n\n\nWe pub... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Vietnamese #license-cc-by-nc-sa-4.0 #region-us \n",
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3a1d3e38ca5cd3a7d52b73361ee2cf81cd0f51cd | # Dataset Card for "KayzerTurkishReviews-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tunaerturk/KayzerTurkishReviews-ds-mini | [
"region:us"
] | 2023-02-01T12:33:45+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1252876.2642514652, "num_examples": 3378}, {"name": "validation", "num_bytes": 139455.7357485349, "num_examples": 376}], "download_size": 895863, "dataset_size": ... | 2023-02-01T12:34:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "KayzerTurkishReviews-ds-mini"
More Information needed | [
"# Dataset Card for \"KayzerTurkishReviews-ds-mini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"KayzerTurkishReviews-ds-mini\"\n\nMore Information needed"
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6,
23
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"passage: TAGS\n#region-us \n# Dataset Card for \"KayzerTurkishReviews-ds-mini\"\n\nMore Information needed"
] |
4fefa0ad0ac1269ec644b95a18ce5f95af4eb051 |
this is the one where we build the suffix array for 25% Oscar and only deduplicate that part - by deduplication I mean removing any document which has an at least 100-char span overlapping with another document in the 25% chunk. This is very strict and preserves only about 20 million documents, so less then 5% of the ... | datablations/oscar-filter | [
"region:us"
] | 2023-02-01T13:04:53+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "meta", "struct": [{"name": "warc_headers", "struct": [{"name": "warc-record-id", "dtype": "string"}, {"name": "warc-date", "dtype": "string"}, {"name": "content-type", "dtype": "string"}, {"name": "content-le... | 2023-05-10T05:58:28+00:00 | [] | [] | TAGS
#region-us
|
this is the one where we build the suffix array for 25% Oscar and only deduplicate that part - by deduplication I mean removing any document which has an at least 100-char span overlapping with another document in the 25% chunk. This is very strict and preserves only about 20 million documents, so less then 5% of the ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f4ea7c46727386fb719504d54744c1b11670c2ee | **Stats about bigcode dataset:**
* Permissive licenses only :
|Language |Raw (only exact dedup) | Near dedup | Near dedup + content filters| Near dedup + more near-dedup (1)|Near dedup + comments filter (1)| Near dedup + more near-dedup + comments(1)|
|-------|--------|-------|--------|--------|--------|--------|
... | loubnabnl/bigcode-data-stats | [
"region:us"
] | 2023-02-01T13:25:01+00:00 | {} | 2023-02-01T14:25:41+00:00 | [] | [] | TAGS
#region-us
| Stats about bigcode dataset:
* Permissive licenses only :
* Non permissive data, the number are higher than the e.g 240GB of python I mentionned (it was on old dump)
|Language |Raw (only exact dedup) | Near dedup |
|-------|--------|-------|
| Python (3)| 737 GB | - |
|Java | 1.3 TB | - |
|JavaScript | 5.8 TB | -|... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
19ade9d8027972d120678ff68b85ef24d6b5e578 | # Dataset Card for "OxfordFlowers_test_facebook_opt_350m_Attributes_Caption_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_350m_Attributes_Caption_ns_6149 | [
"region:us"
] | 2023-02-01T13:36:00+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_3_bs_16", "num_bytes... | 2023-02-02T03:44:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_350m_Attributes_Caption_ns_6149"
More Information needed | [
"# Dataset Card for \"OxfordFlowers_test_facebook_opt_350m_Attributes_Caption_ns_6149\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"OxfordFlowers_test_facebook_opt_350m_Attributes_Caption_ns_6149\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordFlowers_test_facebook_opt_350m_Attributes_Caption_ns_6149\"\n\nMore Information needed"
] |
f6527c7873aaad15401dda89e3aadc448fa4032f | # Dataset Card for "nowiki_first_scrape_20230201"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jkorsvik/nowiki_first_scrape_20230201 | [
"region:us"
] | 2023-02-01T13:36:28+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "url", "dtype": "string"}, {"name": "date_scraped", "dtype": "string"}, {"name": "headline", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "ingress", "dtype": "string"}, {"name": "article", "dtype": "string"}], "splits": [... | 2023-02-01T13:40:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nowiki_first_scrape_20230201"
More Information needed | [
"# Dataset Card for \"nowiki_first_scrape_20230201\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nowiki_first_scrape_20230201\"\n\nMore Information needed"
] | [
6,
23
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"passage: TAGS\n#region-us \n# Dataset Card for \"nowiki_first_scrape_20230201\"\n\nMore Information needed"
] |
ecd800ef94885c49b1b87ef31da7292fa5ccf631 |
# Description of LLM Bash
Prompt designed to convert natural language to bash command.
## Inputs
This is a description of the inputs that the prompt expects.
question: User question to be answered by writing a bash command.
## Usage
Below is a code snippet for how to use the prompt.
```
from langchain.promp... | LangChainHub-Prompts/LLM_Bash | [
"langchain",
"prompt",
"region:us"
] | 2023-02-01T13:43:38+00:00 | {"tags": ["langchain", "prompt"]} | 2023-02-01T13:43:39+00:00 | [] | [] | TAGS
#langchain #prompt #region-us
|
# Description of LLM Bash
Prompt designed to convert natural language to bash command.
## Inputs
This is a description of the inputs that the prompt expects.
question: User question to be answered by writing a bash command.
## Usage
Below is a code snippet for how to use the prompt.
| [
"# Description of LLM Bash\n\nPrompt designed to convert natural language to bash command.",
"## Inputs\n\nThis is a description of the inputs that the prompt expects.\n\nquestion: User question to be answered by writing a bash command.",
"## Usage\n\nBelow is a code snippet for how to use the prompt."
] | [
"TAGS\n#langchain #prompt #region-us \n",
"# Description of LLM Bash\n\nPrompt designed to convert natural language to bash command.",
"## Inputs\n\nThis is a description of the inputs that the prompt expects.\n\nquestion: User question to be answered by writing a bash command.",
"## Usage\n\nBelow is a code ... | [
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"passage: TAGS\n#langchain #prompt #region-us \n# Description of LLM Bash\n\nPrompt designed to convert natural language to bash command.## Inputs\n\nThis is a description of the inputs that the prompt expects.\n\nquestion: User question to be answered by writing a bash command.## Usage\n\nBelow is a code snippet f... |
d5d1663fed7483a25a5e467531ffaa7b7fb50c73 | # Dataset Card for "OxfordFlowers_test_facebook_opt_1.3b_Attributes_Caption_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_1.3b_Attributes_Caption_ns_6149 | [
"region:us"
] | 2023-02-01T13:48:36+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T16:53:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_1.3b_Attributes_Caption_ns_6149"
More Information needed | [
"# Dataset Card for \"OxfordFlowers_test_facebook_opt_1.3b_Attributes_Caption_ns_6149\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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] |
da0b8af917255fc8320e1b37014099538e54f067 |
# Description of LLM Math
Prompt designed to optionally output iPython syntax to be run in order to better answer math questions.
## Inputs
This is a description of the inputs that the prompt expects.
question: User question to be answered.
## Usage
Below is a code snippet for how to use the prompt.
```python
f... | LangChainHub-Prompts/LLM_Math | [
"langchain",
"prompt",
"region:us"
] | 2023-02-01T13:52:06+00:00 | {"tags": ["langchain", "prompt"]} | 2023-02-28T07:39:19+00:00 | [] | [] | TAGS
#langchain #prompt #region-us
|
# Description of LLM Math
Prompt designed to optionally output iPython syntax to be run in order to better answer math questions.
## Inputs
This is a description of the inputs that the prompt expects.
question: User question to be answered.
## Usage
Below is a code snippet for how to use the prompt.
| [
"# Description of LLM Math\n\nPrompt designed to optionally output iPython syntax to be run in order to better answer math questions.",
"## Inputs\n\nThis is a description of the inputs that the prompt expects.\n\nquestion: User question to be answered.",
"## Usage\n\nBelow is a code snippet for how to use the ... | [
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"# Description of LLM Math\n\nPrompt designed to optionally output iPython syntax to be run in order to better answer math questions.",
"## Inputs\n\nThis is a description of the inputs that the prompt expects.\n\nquestion: User question to be answered.",
"## Usage\n\... | [
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8fb8b323dec5725a7afab550e4dd057f3d1cb5ce |
# Description of QA Refine
Prompts designed to be used to refine original answers during question answering chains using the refine method.
## Inputs
This is a description of the inputs that the prompt expects.
1. question: Original question to be answered.
2. existing_answer: Existing answer from previous documen... | LangChainHub-Prompts/QA_Refine | [
"langchain",
"prompt",
"region:us"
] | 2023-02-01T13:56:14+00:00 | {"tags": ["langchain", "prompt"]} | 2023-02-01T13:56:15+00:00 | [] | [] | TAGS
#langchain #prompt #region-us
|
# Description of QA Refine
Prompts designed to be used to refine original answers during question answering chains using the refine method.
## Inputs
This is a description of the inputs that the prompt expects.
1. question: Original question to be answered.
2. existing_answer: Existing answer from previous documen... | [
"# Description of QA Refine\n\nPrompts designed to be used to refine original answers during question answering chains using the refine method.",
"## Inputs\n\nThis is a description of the inputs that the prompt expects.\n\n1. question: Original question to be answered.\n2. existing_answer: Existing answer from p... | [
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40778bd6357cdf935cd1044dddee4ff511b4289a | # Dataset Card for "OxfordFlowers_test_facebook_opt_350m_Visclues_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_350m_Visclues_ns_6149 | [
"region:us"
] | 2023-02-01T13:57:41+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-02T03:59:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_350m_Visclues_ns_6149"
More Information needed | [
"# Dataset Card for \"OxfordFlowers_test_facebook_opt_350m_Visclues_ns_6149\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"OxfordFlowers_test_facebook_opt_350m_Visclues_ns_6149\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordFlowers_test_facebook_opt_350m_Visclues_ns_6149\"\n\nMore Information needed"
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bedf7d06fa3f62bff939ab7730d6299016ffc416 | # Dataset Card for "OxfordFlowers_test_facebook_opt_1.3b_Visclues_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_1.3b_Visclues_ns_6149 | [
"region:us"
] | 2023-02-01T14:06:59+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-02T04:31:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_1.3b_Visclues_ns_6149"
More Information needed | [
"# Dataset Card for \"OxfordFlowers_test_facebook_opt_1.3b_Visclues_ns_6149\"\n\nMore Information needed"
] | [
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"# Dataset Card for \"OxfordFlowers_test_facebook_opt_1.3b_Visclues_ns_6149\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordFlowers_test_facebook_opt_1.3b_Visclues_ns_6149\"\n\nMore Information needed"
] |
850d8a8d95548a0ca04fdd5faa158bfdcf6ff797 |
```bib
@inproceedings{novikova-etal-2018-rankme,
title = "RankME: Reliable Human Ratings for Natural Language Generation",
author = "Novikova, Jekaterina and
Duvsek, Ondvrej and
Rieser, Verena",
booktitle = "Proceedings of the NAACL2018",
month = jun,
year = "2018",
address = "New... | metaeval/rankme-nlg-acceptability | [
"task_categories:text-classification",
"task_ids:acceptability-classification",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"region:us"
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4476049b677e163e55a61797af80a325aeacba89 | # Dataset Card for "nowiki_abstract_urls_20230120"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jkorsvik/nowiki_abstract_urls_20230120 | [
"region:us"
] | 2023-02-01T14:16:29+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 126004455, "num_examples": 605457}], "download_size": 66525868, "dataset_size": 126004455}} | 2023-02-01T14:20:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nowiki_abstract_urls_20230120"
More Information needed | [
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69fc984e8131bb5540d20444e11162f027bbd1f4 |
# Dataset Card for "nq"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Additional Information](#addit... | LLukas22/nq | [
"task_categories:sentence-similarity",
"task_categories:feature-extraction",
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"en"
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#task_categories-sentence-similarity #task_categories-feature-extraction #language-English #license-cc-by-sa-3.0 #region-us
|
# Dataset Card for "nq"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Structure
- Data Instances
- Data Fields
- Additional Information
- Licensing Information
## Dataset Description
- Homepage: URL
### Dataset Summary
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61e8e86dac364d1bfaf38d663415cbba76e8e4f8 |
# Dataset Card for "scidocs"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Additional Information](#... | LLukas22/scidocs | [
"task_categories:sentence-similarity",
"task_categories:feature-extraction",
"language:en",
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"en"
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#task_categories-sentence-similarity #task_categories-feature-extraction #language-English #license-cc-by-4.0 #region-us
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# Dataset Card for "scidocs"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Structure
- Data Instances
- Data Fields
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: URL
### Dataset Summary
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244a63f9a0a05cc80daaa10bfcea5c8810fb7666 | # Dataset Card for "OxfordFlowers_test_facebook_opt_2.7b_Attributes_Caption_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_2.7b_Attributes_Caption_ns_6149 | [
"region:us"
] | 2023-02-01T14:46:32+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_1_bs_16", "num_bytes... | 2023-02-01T17:31:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_2.7b_Attributes_Caption_ns_6149"
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b1600b08af83ce6ac15f9348080848ab8df35e2b | # Dataset Card for "ahbot_wakeword"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AhBotNLP/ahbot_wakeword | [
"task_categories:audio-classification",
"region:us"
] | 2023-02-01T15:01:45+00:00 | {"task_categories": ["audio-classification"], "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ahbot", "1": "ahbot_close", "2": "background_noise"}}}}], "splits": [{"name": "train", "num_bytes": 1190845036.86, "num_examples": 1124}], "downloa... | 2023-03-05T16:06:32+00:00 | [] | [] | TAGS
#task_categories-audio-classification #region-us
| # Dataset Card for "ahbot_wakeword"
More Information needed | [
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a4b6db331a366bb34c8bd61bdfff3d4fd04023c1 | N/A. (2021). Yahoo! Answers (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5259952 | breadlicker45/1m-YA-dataset | [
"region:us"
] | 2023-02-01T15:42:08+00:00 | {} | 2023-02-04T13:53:28+00:00 | [] | [] | TAGS
#region-us
| N/A. (2021). Yahoo! Answers (Version v1) [Data set]. Zenodo. URL | [] | [
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10ba1f7bd12132c1e7cd7226d8c4ae37b4b910fd | # Dataset Card for "OxfordFlowers_test_facebook_opt_2.7b_Visclues_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_2.7b_Visclues_ns_6149 | [
"region:us"
] | 2023-02-01T15:43:01+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-01T18:51:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_2.7b_Visclues_ns_6149"
More Information needed | [
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93cfe0582f4a190dba43be42f9512b572444e8ab | # Dataset Card for "mogumogu_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | apapa/mogumogu_dataset | [
"region:us"
] | 2023-02-01T16:10:02+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "text (string)", "dtype": "string"}, {"name": "phonetic_detail (json)", "dtype": "string"}, {"name": "word_detail (json)", "dtype": "string"}, {"name": "dialect_region (string)", "dtype": "string"}, {"name": "sentence_type (string)", "dtype": ... | 2023-02-01T16:11:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mogumogu_dataset"
More Information needed | [
"# Dataset Card for \"mogumogu_dataset\"\n\nMore Information needed"
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8aa9eb882aba938b1a972331072ea683f664aef0 |
# Overview
This repository contains the dataset to the paper ["Causal Reasoning of Entities and Events in Procedural Texts" and the dataset **C**ausal **R**easoning of **E**ntities and **E**vents in **P**rocedural Texts (CREPE)](https://arxiv.org/pdf/2301.10896v2.pdf).
# Files
- `data_dev_v2.json` is the development ... | zharry29/CREPE | [
"language:en",
"license:cc-by-4.0",
"arxiv:2301.10896",
"region:us"
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"2301.10896"
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"en"
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#language-English #license-cc-by-4.0 #arxiv-2301.10896 #region-us
| Overview
========
This repository contains the dataset to the paper "Causal Reasoning of Entities and Events in Procedural Texts" and the dataset Causal Reasoning of Entities and Events in Procedural Texts (CREPE).
Files
=====
* 'data\_dev\_v2.json' is the development set of CREPE.
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f68cb893ee34e42e6c9c8156d803f3abdc4a6b39 | # Dataset Card for "denoising-dirty-documents-cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joytafty/denoising-dirty-documents-cleaned | [
"region:us"
] | 2023-02-01T17:00:08+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 6620518.0, "num_examples": 144}], "download_size": 0, "dataset_size": 6620518.0}} | 2023-02-01T22:34:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "denoising-dirty-documents-cleaned"
More Information needed | [
"# Dataset Card for \"denoising-dirty-documents-cleaned\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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7502c330be750b55b6a0b7e11bcfb30b55c70db1 | # Dataset Card for "denoising-dirty-documents-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joytafty/denoising-dirty-documents-train | [
"region:us"
] | 2023-02-01T17:00:16+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 19395270.0, "num_examples": 144}], "download_size": 0, "dataset_size": 19395270.0}} | 2023-02-03T20:01:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "denoising-dirty-documents-train"
More Information needed | [
"# Dataset Card for \"denoising-dirty-documents-train\"\n\nMore Information needed"
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f40b8a5a3907de7f798a465a4b80018ae4501433 | # Dataset Card for "serviall_multiclass"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bggmyfuture-ai/serviall_multiclass | [
"region:us"
] | 2023-02-01T17:47:12+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "SubFamilia", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1735553, "num_examples": 17643}], "download_size": 747548, "dataset_size": 1735553}} | 2023-02-01T17:47:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "serviall_multiclass"
More Information needed | [
"# Dataset Card for \"serviall_multiclass\"\n\nMore Information needed"
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d191d53410ce6f74939699774250f8f9760bbebf |
# Dataset Card for "relbert/nell_relation_similarity"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/D18-1223/](https://aclanthology.org/D18-1223/)
- **Dataset:** Relational similarity dataset based on the NELL-one
### Dataset Summary
[NE... | relbert/nell_relational_similarity | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
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"en"
] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/nell\_relation\_similarity"
=====================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: Relational similarity dataset based on the NELL-one
### Dataset Summary
NELL-one cleaned dataset compiled for relation... | [
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af32591e78a48e31eedb8e674c2524385f5dd96c | # Dataset Card for "denoising-dirty-documents-trained_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joytafty/denoising-dirty-documents-trained_cleaned | [
"region:us"
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#region-us
| # Dataset Card for "denoising-dirty-documents-trained_cleaned"
More Information needed | [
"# Dataset Card for \"denoising-dirty-documents-trained_cleaned\"\n\nMore Information needed"
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02f3b3da58943687b4eee8e5b10654d83c4b114c | # Dataset Card for "denoising-dirty-documents-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joytafty/denoising-dirty-documents-test | [
"region:us"
] | 2023-02-01T20:31:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 9838202.0, "num_examples": 72}], "download_size": 0, "dataset_size": 9838202.0}} | 2023-02-03T20:02:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "denoising-dirty-documents-test"
More Information needed | [
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a961ddd735bf43b1b406b5a64f88bc2d185ec59b |
## DataComp Pools
This repository contains metadata files for DataComp. For details on how to use the metadata, please visit [our website](https://www.datacomp.ai/) and our [github repository](https://github.com/mlfoundations/datacomp).
We distribute the image url-text samples and metadata under a standard Creative ... | mlfoundations/datacomp_pools | [
"license:cc-by-4.0",
"region:us"
] | 2023-02-01T20:36:30+00:00 | {"license": "cc-by-4.0"} | 2023-08-21T20:43:57+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
## DataComp Pools
This repository contains metadata files for DataComp. For details on how to use the metadata, please visit our website and our github repository.
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"passage: TAGS\n#license-cc-by-4.0 #region-us \n## DataComp Pools\n\nThis repository contains metadata files for DataComp. For details on how to use the metadata, please visit our website and our github repository.\n\nWe distribute the image url-text samples and metadata under a standard Creative Common CC-BY-4.0 l... |
056543867547d96ba3056f8adb0dc30a224ceff5 | # Dataset Card for "patched_test_p_40_m1_predictions_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_test_p_40_m1_predictions_v2 | [
"region:us"
] | 2023-02-01T21:10:13+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 1471779018, "num_examples": 2637494}], "download_size": 127557931, "dataset_size": 1471... | 2023-02-01T21:10:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_test_p_40_m1_predictions_v2"
More Information needed | [
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bb128f33d65d830c5b861f05cf9841fcd4645e76 | # Dataset Card for "OxfordFlowers_test_facebook_opt_6.7b_Visclues_ns_6149"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordFlowers_test_facebook_opt_6.7b_Visclues_ns_6149 | [
"region:us"
] | 2023-02-01T21:29:17+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-02T02:51:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordFlowers_test_facebook_opt_6.7b_Visclues_ns_6149"
More Information needed | [
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04d6d21f66e9f812718c58856852874506a323ff | # Dataset Card for "dianauribelarge"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juancopi81/dianauribelarge | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"large",
"region:us"
] | 2023-02-01T21:50:57+00:00 | {"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TITLE", "dtype": "string"}, {"name": "DESCRIPTION", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "SEGMENTS", "dtype... | 2023-02-07T14:01:41+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #large #region-us
| # Dataset Card for "dianauribelarge"
More Information needed | [
"# Dataset Card for \"dianauribelarge\"\n\nMore Information needed"
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"TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #large #region-us \n",
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1f984e50c38b7ffb5a853b2135732fbf6ac4b636 | # Dataset Card for "ts_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ocolegro/ts_train | [
"region:us"
] | 2023-02-01T22:20:12+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23751416, "num_examples": 11414}], "download_size": 8011655, "dataset_size": 23751416}} | 2023-02-01T22:20:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ts_train"
More Information needed | [
"# Dataset Card for \"ts_train\"\n\nMore Information needed"
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c15a3986213714cadd85575e208edcd1c58684cf |
This data comes from "JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset" by Ruth-Ann Armstrong, John Hewitt, Christopher Manning. Please cite the original work if you make use of this data: ... | WillHeld/JamPatoisNLI | [
"arxiv:2212.03419",
"region:us"
] | 2023-02-01T22:56:34+00:00 | {"dataset_info": {"features": [{"name": "Number", "dtype": "int64"}, {"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}], "splits": [{"name": "train", "num_bytes": 32336, "nu... | 2023-02-01T23:11:13+00:00 | [
"2212.03419"
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#arxiv-2212.03419 #region-us
|
This data comes from "JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset" by Ruth-Ann Armstrong, John Hewitt, Christopher Manning. Please cite the original work if you make use of this data: ... | [] | [
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c0e3a12cd19773437ccee37764cbacaeadadad6e | Original dataset introduced by Jin et al. in [What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams](https://paperswithcode.com/paper/what-disease-does-this-patient-have-a-large)
This version is augmented with context retrieved from the textbooks provided with the... | GBaker/MedQA-USMLE-4-options-hf-cosine-similarity | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-02-01T23:13:18+00:00 | {"license": "cc-by-sa-4.0"} | 2023-02-02T18:57:53+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| Original dataset introduced by Jin et al. in What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
This version is augmented with context retrieved from the textbooks provided with the original dataset using cosine similarity.
<h4>Citation information:</h4>
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4a7edff56500a97b8733d5c945c0c2acdba8d4c8 |
# FBI Cap Meme LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: ```skistyle```.
You most likely want to add ```fbi cap, fbi``` to force the cap.
The models mentione... | Nerfgun3/FBI-meme_LoRA | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-02-01T23:31:36+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/FBI-meme_LoRA/resolve/main/preview/Preview%20(4).png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-02-01T23:38:31+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# FBI Cap Meme LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: .
You most likely want to add to force the cap.
The models mentioned right now
1. AbyssOrangeMix2 f... | [
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3b5949d968d1fbc3facce39769ba00aa13404ffc | # MMLU dataset
Measuring Massive Multitask Language Understanding: https://github.com/hendrycks/test
```
@article{hendryckstest2021,
title={Measuring Massive Multitask Language Understanding},
author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mantas Mazeika and Dawn Song and Jacob Steinhard... | lukaemon/mmlu | [
"region:us"
] | 2023-02-02T00:42:27+00:00 | {"dataset_info": [{"config_name": "high_school_european_history", "features": [{"name": "input", "dtype": "string"}, {"name": "A", "dtype": "string"}, {"name": "B", "dtype": "string"}, {"name": "C", "dtype": "string"}, {"name": "D", "dtype": "string"}, {"name": "target", "dtype": "string"}], "splits": [{"name": "test",... | 2023-02-02T02:38:44+00:00 | [] | [] | TAGS
#region-us
| # MMLU dataset
Measuring Massive Multitask Language Understanding: URL
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7d2e052efaec29b2d3e4ea4acfb59bdfbad7ab14 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | MUmerbhutta/prospect_aget | [
"region:us"
] | 2023-02-02T06:45:52+00:00 | {} | 2023-02-02T06:51:35+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
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c32a69cc63da5f3b39b1914e2a8d3831844302d9 | # Dataset Card for "nowiki_abstract_second_scrape_20230201"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jkorsvik/nowiki_abstract_second_scrape_20230201 | [
"region:us"
] | 2023-02-02T07:39:55+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "date_scraped", "dtype": "string"}, {"name": "headline", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "ingress", "dtype": "string"}, {"name": "article", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"nam... | 2023-02-02T07:40:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nowiki_abstract_second_scrape_20230201"
More Information needed | [
"# Dataset Card for \"nowiki_abstract_second_scrape_20230201\"\n\nMore Information needed"
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4fdc4791fe8ea154876d9bc1ad1eecd140063287 | # Dataset Card for "mgb2_audios_transcriptions_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | BelalElhossany/mgb2_audios_transcriptions_preprocessed | [
"region:us"
] | 2023-02-02T07:40:39+00:00 | {"dataset_info": {"features": [{"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1146187887.0, "num_examples": 5842}], "download_size": 1141969416, "dataset_size": 1146187887.0}} | 2023-02-02T07:41:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mgb2_audios_transcriptions_preprocessed"
More Information needed | [
"# Dataset Card for \"mgb2_audios_transcriptions_preprocessed\"\n\nMore Information needed"
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7f89fe670f7c2369a611d8b5a0095dfd3be39f13 | # Dataset Card for "deneme"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nergis/deneme | [
"region:us"
] | 2023-02-02T08:50:29+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "string"}, {"name": "sign1", "dtype": "string"}, {"name": "sign2", "dtype": "string"}, {"name": "sign3", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, ... | 2023-02-02T08:50:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "deneme"
More Information needed | [
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83cbb59db3222087f30ab58d90aa4eee35ef8042 | # Dataset Card for "aug-text-exps-v3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | james-burton/aug-text-exps-v3 | [
"region:us"
] | 2023-02-02T10:18:18+00:00 | {"dataset_info": {"features": [{"name": "model_name", "dtype": "string"}, {"name": "predicted_class", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "narration", "dtype": "string"}, {"name": "values", "sequence": "string"}, {"name": "sign", "sequence": "string"}, {"name": "narrative_id", "dtype"... | 2023-02-02T10:18:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "aug-text-exps-v3"
More Information needed | [
"# Dataset Card for \"aug-text-exps-v3\"\n\nMore Information needed"
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ed57db6f9caafce2d4708a19bd6c6d0e6e7980eb | # Dataset Card for "instruction-pilot-outputs-greedy"
This dataset contains model outputs generated from the human demonstrations provided in [`HuggingFaceH4/instruction-pilot-prompts`](https://huggingface.co/datasets/HuggingFaceH4/instruction-pilot-prompts).
To convert each language model into a dialogue agent, we ... | HuggingFaceH4/instruction-pilot-outputs-greedy | [
"region:us"
] | 2023-02-02T12:35:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "source", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "outputs", "list": [{"name": "model", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 243208, "num_examples": 37... | 2023-02-08T15:28:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "instruction-pilot-outputs-greedy"
This dataset contains model outputs generated from the human demonstrations provided in 'HuggingFaceH4/instruction-pilot-prompts'.
To convert each language model into a dialogue agent, we prepended the following LangChain prompt to each input:
For reproducibil... | [
"# Dataset Card for \"instruction-pilot-outputs-greedy\"\n\nThis dataset contains model outputs generated from the human demonstrations provided in 'HuggingFaceH4/instruction-pilot-prompts'. \n\nTo convert each language model into a dialogue agent, we prepended the following LangChain prompt to each input:\n\n\n\nF... | [
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71ad9853db7180b286e4ed94bb56214d08991790 |
# Dataset Card for Spider
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | amitdanin/s3_spyder | [
"task_categories:text2text-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"text-to-sql",
... | 2023-02-02T14:00:34+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], ... | 2023-02-02T15:54:28+00:00 | [] | [
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|
# Dataset Card for Spider
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
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