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894d51ef8e444360826fef970442b4b6e882ff64 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot... | autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063406 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T20:09:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/neqa2_8shot"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-66b_eval", "metrics": [], "dataset_name": "jeffdshen/neqa2_8shot", "dataset_config": "jeffdshen--neqa2_8shot", "dataset_split": "train"... | 2022-10-24T03:31:40+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: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluati... | [
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1acb7b8cd33ab32069f18e4b3bda902ee86cd7b1 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--r... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163407 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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c5c85b748f0add69a515584101f75d31a23c3eec | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--r... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163408 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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d1b0e19328570ff6d6b66feb6f1f1d49cc2586a6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--r... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163409 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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29878dfab55f73640bd769dda9097009ba88cac7 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--r... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163411 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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3d4e995498c994515671fe0ffa35466db46aa819 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--r... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163410 | [
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"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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9774214c388611978defa2b05f2cbb6eafc83ef6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--re... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163412 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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2d685476ba41df49df84ce83869ec97f2c48a09d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--re... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163413 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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003cddb5c422851a1ed82a771e069487afd0dbe5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--re... | autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163414 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
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80806d78f92ead5ac7d7b71e0aad69d63da69144 | # Portuguese Legal Sentences
Collection of Legal Sentences from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for MLM and TSDAE
### Contributions
[@rufimelo99](https://github.com/rufimelo99)
| rufimelo/PortugueseLegalSentences-v0 | [
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"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:pt",
"license:apache-2.0",
"region:us"
] | 2022-10-23T20:27:33+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["pt"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "source_datasets": ["original"]} | 2022-10-23T23:55:55+00:00 | [] | [
"pt"
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#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Portuguese #license-apache-2.0 #region-us
| # Portuguese Legal Sentences
Collection of Legal Sentences from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for MLM and TSDAE
### Contributions
@rufimelo99
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71a7df4dec587db7ca75e77e17820f934b9239ee | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--r... | autoevaluate/autoeval-eval-jeffdshen__redefine_math0_8shot-jeffdshen__redefine_mat-1c694b-1853263415 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--redefine_math0_8shot
* Split: train
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8708ce52df013e02ce64fa1d724dd9658fbe0337 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--r... | autoevaluate/autoeval-eval-jeffdshen__redefine_math0_8shot-jeffdshen__redefine_mat-1c694b-1853263417 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: inverse-scaling/opt-1.3b_eval
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c79968e3486c761ac1dc22e70ef3543566a865d8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/redefine_math0_8shot
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: inverse-scaling/opt-350m_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--redefine_math0_8shot
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21d6d506cd6554ed5d501ecf3ff9057e3cee19ef | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: jeffdshen/redefine_math0_8shot
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: inverse-scaling/opt-2.7b_eval
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45863e98e30abf429c3674f303b30e6b12a96c49 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--re... | autoevaluate/autoeval-eval-jeffdshen__redefine_math0_8shot-jeffdshen__redefine_mat-1c694b-1853263420 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Config: jeffdshen--redefine_math0_8shot
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9afc868b3ca6999fce836cdddbf46b9a034dcb9a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/redefine_math0_8shot
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: inverse-scaling/opt-6.7b_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--redefine_math0_8shot
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5b2acfeeae4274be62c8f9a05acea1b1b33b63b8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--re... | autoevaluate/autoeval-eval-jeffdshen__redefine_math0_8shot-jeffdshen__redefine_mat-1c694b-1853263421 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: inverse-scaling/opt-30b_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--redefine_math0_8shot
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f87ed8be2923f9a467f70386ba48da3cab41992f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--re... | autoevaluate/autoeval-eval-jeffdshen__redefine_math0_8shot-jeffdshen__redefine_mat-1c694b-1853263422 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--redefine_math0_8shot
* Split: train
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afaaca07fb88eeecf10689a1b9c35b2a143dd599 | # Dataset Card for "malicious_urls"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joshtobin/malicious_urls | [
"region:us"
] | 2022-10-23T22:02:35+00:00 | {"dataset_info": {"features": [{"name": "url_len", "dtype": "int64"}, {"name": "abnormal_url", "dtype": "int64"}, {"name": "https", "dtype": "int64"}, {"name": "digits", "dtype": "int64"}, {"name": "letters", "dtype": "int64"}, {"name": "shortening_service", "dtype": "int64"}, {"name": "ip_address", "dtype": "int64"}, ... | 2022-10-23T22:28:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "malicious_urls"
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4b2859096f19a75f613a7a63183a9fadaa48ba3f |
# Dataset Card for Pokémon BLIP captions with English and Chinese.
Dataset used to train Pokémon text to image model, add a Chinese Column of [Pokémon BLIP captions](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions)
BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced b... | svjack/pokemon-blip-captions-en-zh | [
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"annotations_creators:machine-generated",
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"size_categories:n<1K",
"source_datasets:huggan/few-shot-pokemon",
"language:en",
"language:zh",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-10-24T00:59:52+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en", "zh"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["multilingual"], "size_categories": ["n<1K"], "source_datasets": ["huggan/few-shot-pokemon"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "... | 2022-10-31T06:23:03+00:00 | [] | [
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|
# Dataset Card for Pokémon BLIP captions with English and Chinese.
Dataset used to train Pokémon text to image model, add a Chinese Column of Pokémon BLIP captions
BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by Towards Faster and Stabilized GAN Training for High-fidelity Few-s... | [
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08ef5a71e9a1381eb205610dda214a5b01e3e55a | # Dataset Card for "speechocean762_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jbpark0614/speechocean762_train | [
"region:us"
] | 2022-10-24T07:57:13+00:00 | {"dataset_info": {"features": [{"name": "index", "dtype": "int64"}, {"name": "speaker_id_str", "dtype": "int64"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "question_id", "dtype": "int64"}, {"name": "total_score", "dtype": "int64"}, {"name": "accuracy", "dtype": "int64"}, {"name": "completeness", "dtype": "flo... | 2022-10-24T07:58:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "speechocean762_train"
More Information needed | [
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7d9d2774a2abed6351ffaddbee0fdb34d7196457 |
# Dataset Card for InfantBooks
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields... | Aunsiels/InfantBooks | [
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"language:en",
"license:gpl",
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... | 2022-10-24T07:57:35+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["gpl"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Infa... | 2022-10-24T10:20:01+00:00 | [] | [
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|
# Dataset Card for InfantBooks
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Curation Rationale
- Source Data
- Additional Information
- Citation Information
## Dataset Description
- ... | [
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d317974c2e9cf1b847048c49f36760808b2337f6 | # Dataset Card for "speechocean762_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jbpark0614/speechocean762_test | [
"region:us"
] | 2022-10-24T07:58:05+00:00 | {"dataset_info": {"features": [{"name": "index", "dtype": "int64"}, {"name": "speaker_id_str", "dtype": "int64"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "question_id", "dtype": "int64"}, {"name": "total_score", "dtype": "int64"}, {"name": "accuracy", "dtype": "int64"}, {"name": "completeness", "dtype": "flo... | 2022-10-24T07:58:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "speechocean762_test"
More Information needed | [
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8d49c25cba65077c093016cbed51e087f88af77c | # Dataset Card for "speechocean762"
The datasets introduced in
- Zhang, Junbo, et al. "speechocean762: An open-source non-native english speech corpus for pronunciation assessment." arXiv preprint arXiv:2104.01378 (2021).
- Currently, phonetic-level evaluation is omitted (total sentence-level scores are just used.)
- ... | jbpark0614/speechocean762 | [
"region:us"
] | 2022-10-24T08:12:33+00:00 | {"dataset_info": {"features": [{"name": "index", "dtype": "int64"}, {"name": "speaker_id_str", "dtype": "int64"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "question_id", "dtype": "int64"}, {"name": "total_score", "dtype": "int64"}, {"name": "accuracy", "dtype": "int64"}, {"name": "completeness", "dtype": "flo... | 2022-10-24T08:43:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "speechocean762"
The datasets introduced in
- Zhang, Junbo, et al. "speechocean762: An open-source non-native english speech corpus for pronunciation assessment." arXiv preprint arXiv:2104.01378 (2021).
- Currently, phonetic-level evaluation is omitted (total sentence-level scores are just used.)
- ... | [
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c03ad050756db3748209f1a51ba4b8afc8dcefcb |
# Dataset Card for Parafraseja
## 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-struc... | projecte-aina/Parafraseja | [
"task_categories:text-classification",
"task_ids:multi-input-text-classification",
"annotations_creators:CLiC-UB",
"language_creators:found",
"multilinguality:monolingual",
"language:ca",
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2022-10-24T08:54:42+00:00 | {"annotations_creators": ["CLiC-UB"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": ["multi-input-text-classification"], "pretty_name": "Parafraseja"} | 2023-11-25T06:09:20+00:00 | [] | [
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|
# Dataset Card for Parafraseja
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Annotations
- Personal and Sensiti... | [
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6af8474d307a30b92b0cc8d550dbf98f4f5d3c85 | # AutoTrain Dataset for project: dragino-7-7-max_495m
## Dataset Description
This dataset has been automatically processed by AutoTrain for project dragino-7-7-max_495m.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as fo... | pcoloc/autotrain-data-dragino-7-7-max_495m | [
"region:us"
] | 2022-10-24T09:08:48+00:00 | {} | 2022-10-24T09:10:04+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: dragino-7-7-max\_495m
====================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project dragino-7-7-max\_495m.
### Languages
The BCP-47 code for the dataset's language is unk.
Datas... | [
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43a4ac0c18bdd53bd8acc72323296b48339dc121 |
All eight of datasets in ESB can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library:
```python
from datasets import load_dataset
librispeech = load_dataset("esb/datasets", "librispeech", split="train")
```
- `"esb/datasets"`: the repository namespace. This is fixed fo... | esb/datasets | [
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"multilinguality:monolingual",
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... | 2022-10-24T09:53:50+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0", "apache-2.0", "cc0-1.0", "cc-by-nc-3.0", "other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "1M<n<10M"],... | 2023-01-16T17:51:39+00:00 | [] | [
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* '"esb/datasets"': the repository namespace. This is fixed for all ESB datasets.
* '"librispeech"': the dataset name. This can be changed to any of any one of the eight datasets in ESB... | [
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"### Data P... | [
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38506bb37ab1b2a64cccec06ca1318b76ed8a2b2 |
# Dataset Card for GuiaCat
## 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-structure... | projecte-aina/GuiaCat | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:sentiment-scoring",
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"language_creators:found",
"multilinguality:monolingual",
"language:ca",
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2022-10-24T10:11:31+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification", "sentiment-scoring"], "pretty_name": "GuiaCat"} | 2023-11-25T06:27:37+00:00 | [] | [
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|
# Dataset Card for GuiaCat
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Annotations
- Personal and Sensitive I... | [
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f0f1642c872cb3fe346c1805b06c7f72900255f7 | ## Dataset Description
- **Homepage:** https://www.darrow.ai/
- **Repository:** https://github.com/darrow-labs/ClassActionPrediction
- **Paper:** https://arxiv.org/abs/2211.00582
- **Leaderboard:** N/A
- **Point of Contact:** [Gila Hayat](mailto:gila@darrow.ai),[Gil Semo](mailto:gil.semo@darrow.ai)
#### More Details ... | darrow-ai/USClassActions | [
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"language:en",
"license:gpl-3.0",
"legal",
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"arxiv:2211.00582",
"region:us"
] | 2022-10-24T11:00:55+00:00 | {"language": ["en"], "license": "gpl-3.0", "task_categories": ["text-classification", "zero-shot-classification"], "tags": ["legal", "legalnlp", "class action", "darrow"]} | 2024-01-24T10:00:39+00:00 | [
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| ## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Gila Hayat,Gil Semo
#### More Details & Collaborations
Feel free to contact us in order to get a larger dataset.
We would be happy to collaborate on future works.
### Dataset Summary
USClassActions is an Engl... | [
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91c9f5f11a05c71bc9a2a44628ce04d0b39d9cf0 |
# Dataset Card for Quasimodo
## 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-struct... | Aunsiels/Quasimodo | [
"task_categories:question-answering",
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"commo... | 2022-10-24T11:01:21+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["cc-by-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<1B"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["closed-domain-qa"], "p... | 2022-10-24T11:30:23+00:00 | [] | [
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|
# Dataset Card for Quasimodo
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Additional Information
- Licensing Information
- Citation Information
##... | [
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326a090671e5d16285a76878114dc54704a26e4b | # 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: dslim/bert-large-NER
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs... | autoevaluate/autoeval-eval-conll2003-conll2003-623e8b-1865063750 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-24T14:01:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "dslim/bert-large-NER", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "ner_tags"}}... | 2022-10-24T14:03:21+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: dslim/bert-large-NER
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mod... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: dslim/bert-large-NER\n* Dataset: conll2003\n* Config: conll2003\n* Split: test... |
e7f950d67b7cae3e03abd83c243f2933e1823bb5 | # Large Labelled Logo Dataset | LHF/l3d | [
"region:us"
] | 2022-10-24T14:31:20+00:00 | {} | 2023-01-02T19:41:27+00:00 | [] | [] | TAGS
#region-us
| # Large Labelled Logo Dataset | [
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48f363dd35ced1e473e9efdf11e55046145d4ba8 | This repo contains all the docs published on https://huggingface.co/docs.
The docs are generated with https://github.com/huggingface/doc-builder. | hf-doc-build/doc-build | [
"license:mit",
"region:us"
] | 2022-10-24T14:39:05+00:00 | {"license": "mit", "pretty_name": "Generated Docs for HF"} | 2024-02-17T00:41:19+00:00 | [] | [] | TAGS
#license-mit #region-us
| This repo contains all the docs published on URL
The docs are generated with URL | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
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b00dc249a422f746fa6f3fe520e9dc1948b827f1 |
# Flame Surge Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by flame_surge_style"```
If it is to strong just add [] around it.
Trained until 15000 steps
I added ... | Nerfgun3/flame_surge_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-24T18:18:40+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-24T18:39:09+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Flame Surge Style Embedding / Textual Inversion
===============================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until ... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] |
0fe3d57b821a925081220f954b454f10ace87af8 |
### Dataset Contents
This dataset contains the concatenated scripts from the original (and best) Star Wars trilogy. The scripts are reduced to dialogue only, and are tagged with a line number and speaker.
### Dataset Disclaimer
I don't own this data; or Star Wars. But it would be cool if I did.
Star Wars is owned ... | andrewkroening/Star-wars-scripts-dialogue-IV-VI | [
"license:cc",
"region:us"
] | 2022-10-24T18:31:55+00:00 | {"license": "cc"} | 2022-10-27T16:53:39+00:00 | [] | [] | TAGS
#license-cc #region-us
|
### Dataset Contents
This dataset contains the concatenated scripts from the original (and best) Star Wars trilogy. The scripts are reduced to dialogue only, and are tagged with a line number and speaker.
### Dataset Disclaimer
I don't own this data; or Star Wars. But it would be cool if I did.
Star Wars is owned ... | [
"### Dataset Contents\n\nThis dataset contains the concatenated scripts from the original (and best) Star Wars trilogy. The scripts are reduced to dialogue only, and are tagged with a line number and speaker.",
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61f49d80d69c6208a9bfffb1cab4b98c9a9accf8 |
# Literature Dataset
## Files
A dataset containing novels, epics and essays.
The files are as follows:
- main.txt, a file with all the texts, every text on a newline, all English
- vocab.txt, a file with the trained (BERT) vocab, a newline a new word
- train.csv, a file with length 129 sequences of tokens, csv o... | ACOSharma/literature | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-10-24T20:56:25+00:00 | {"license": "cc-by-sa-4.0"} | 2022-10-28T14:38:43+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
# Literature Dataset
## Files
A dataset containing novels, epics and essays.
The files are as follows:
- URL, a file with all the texts, every text on a newline, all English
- URL, a file with the trained (BERT) vocab, a newline a new word
- URL, a file with length 129 sequences of tokens, csv of ints, containin... | [
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fb620fbe49fa4420e0734bd9c0df11f51176b61f |
# DiffusionDB
<img width="100%" src="https://user-images.githubusercontent.com/15007159/201762588-f24db2b8-dbb2-4a94-947b-7de393fc3d33.gif">
## Table of Contents
- [DiffusionDB](#diffusiondb)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset... | poloclub/diffusiondb | [
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===========
<img width="100%" src="URL
Table of Contents
-----------------
* DiffusionDB
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Two Subsets
* Key Differences
+ Dataset Structure
- Data Instances
- Data Fields
- D... | [
"### Dataset Summary\n\n\nDiffusionDB is the first large-scale text-to-image prompt dataset. It contains 14 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users.\n\n\nDiffusionDB is publicly available at Hugging Face Dataset.",
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37b04e9237bdfaba2f149f437f104f63a6d4f25a | # Dataset Card for "eraser_cose"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | niurl/eraser_cose | [
"region:us"
] | 2022-10-25T02:21:49+00:00 | {"dataset_info": {"features": [{"name": "doc_id", "dtype": "string"}, {"name": "question", "sequence": "string"}, {"name": "query", "dtype": "string"}, {"name": "evidence_span", "sequence": {"sequence": "int64"}}, {"name": "classification", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 282071, "num_exam... | 2022-10-25T02:22:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "eraser_cose"
More Information needed | [
"# Dataset Card for \"eraser_cose\"\n\nMore Information needed"
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2192eb5fc49e5dda28d7e3ea9aa4cd35ab00ef5b |
# Dataset Card for COPA-SSE
## 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-structur... | anab/copa-sse | [
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"size_categories:1K<n<10K",
"language:en",
"license:mit",
"commonsense reasoning",
"... | 2022-10-25T06:11:33+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["text2text-generation", "multiple-choice"], "task_ids": ["explanation-generation"], "p... | 2022-10-26T00:53:17+00:00 | [
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# Dataset Card for COPA-SSE
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Persona... | [
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d2ee25d7fb18334d410a678499a94afede8ec4f4 | # FindZebra corpus
A collection of 30.658 curated articles about rare diseases gathered from GARD, GeneReviews, Genetics Home Reference, OMIM, Orphanet, and Wikipedia. Each article is referenced with a Concept Unique Identifier ([CUI](https://www.nlm.nih.gov/research/umls/new_users/online_learning/Meta_005.html)).
#... | findzebra/corpus | [
"region:us"
] | 2022-10-25T07:05:58+00:00 | {} | 2022-10-25T08:58:33+00:00 | [] | [] | TAGS
#region-us
| # FindZebra corpus
A collection of 30.658 curated articles about rare diseases gathered from GARD, GeneReviews, Genetics Home Reference, OMIM, Orphanet, and Wikipedia. Each article is referenced with a Concept Unique Identifier (CUI).
## Preprocessing
The raw HTML content of each article has been processed using th... | [
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91b1380fc7ff16a970b8b240e56c427b5638087a |
# Lightning Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by lightning_style"```
If it is to strong just add [] around it.
Trained until 10000 steps
I added a 7.... | Nerfgun3/lightning_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-25T08:56:21+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-25T09:05:17+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Lightning Style Embedding / Textual Inversion
=============================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 1000... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
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8552aab8a6e2bb55739fba702171fd1a4a12d181 | # FindZebra Queries
A set of 248 search queries annotated with the correct diagnosis. The diagnosis is referenced with a Concept Unique Identifier ([CUI](https://www.nlm.nih.gov/research/umls/new_users/online_learning/Meta_005.html)). In a retrieval setting, the task consists of retrieving an article from the [FindZeb... | findzebra/queries | [
"region:us"
] | 2022-10-25T08:58:49+00:00 | {} | 2022-10-25T09:02:34+00:00 | [] | [] | TAGS
#region-us
| # FindZebra Queries
A set of 248 search queries annotated with the correct diagnosis. The diagnosis is referenced with a Concept Unique Identifier (CUI). In a retrieval setting, the task consists of retrieving an article from the FindZebra corpus with a CUI that matches the query CUI. | [
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25700c3e831b26e4224a7c14b226e8cccdf3839f | # Dataset Card for "sv_corpora_parliament_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juanhebert/sv_corpora_parliament_processed | [
"region:us"
] | 2022-10-25T09:51:07+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 292359009, "num_examples": 1892723}], "download_size": 158940474, "dataset_size": 292359009}} | 2022-11-03T10:21:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sv_corpora_parliament_processed"
More Information needed | [
"# Dataset Card for \"sv_corpora_parliament_processed\"\n\nMore Information needed"
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155b325de98e02bb6286fce64282d2c4c30a1b41 | ## Dataset Description
- **Homepage:** https://www.darrow.ai/
- **Repository:** https://github.com/darrow-labs/ClassActionPrediction
- **Paper:** https://arxiv.org/abs/2211.00582
- **Leaderboard:** N/A
- **Point of Contact:** [Gila Hayat](mailto:gila@darrow.ai)
### Dataset Summary
USClassActions is an English datase... | darrow-ai/USClassActionOutcomes_ExpertsAnnotations | [
"license:gpl-3.0",
"arxiv:2211.00582",
"region:us"
] | 2022-10-25T11:43:36+00:00 | {"license": "gpl-3.0"} | 2022-11-06T12:35:30+00:00 | [
"2211.00582"
] | [] | TAGS
#license-gpl-3.0 #arxiv-2211.00582 #region-us
| ## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Gila Hayat
### Dataset Summary
USClassActions is an English dataset of 200 complaints from the US Federal Court with the respective binarized judgment outcome (Win/Lose). The dataset poses a challenging text ... | [
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ee9af9cb8db048248c9a0665691bfc6903d09113 |
# Dataset Card for CLARA-MeD
## 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-structu... | CLARA-MeD/CLARA-MeD | [
"license:cc-by-nc-4.0",
"region:us"
] | 2022-10-25T13:26:10+00:00 | {"license": "cc-by-nc-4.0"} | 2022-10-25T13:54:04+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
# Dataset Card for CLARA-MeD
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Source Data
- Annotations
- Personal and Sensitive Information
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7f368064f1df591ec2cba22cab730eb8e9a53104 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakit... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev_cot-mathemak-6b9a5d-1879664175 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T13:29:26+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev_cot", "dataset_config": "mathemakitten... | 2022-10-25T14:21:54+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: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakitten--winobias_antistereotype_dev_cot... | [
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193f68d798850e2a593c181844a60af8b12267ed | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakit... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev_cot-mathemak-6b9a5d-1879664174 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T13:29:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-13b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev_cot", "dataset_config": "mathemakitten... | 2022-10-25T13:57:27+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: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakitten--winobias_antistereotype_dev_cot... | [
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5f080cd1756fbe0260163aefce18f65dbd0231f4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: ArthurZ/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakit... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev_cot-mathemak-6b9a5d-1879664170 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T13:29:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "ArthurZ/opt-125m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev_cot", "dataset_config": "mathemakitten... | 2022-10-25T13:30:11+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: Zero-Shot Text Classification
* Model: ArthurZ/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakitten--winobias_antistereotype_dev_cot... | [
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45ec734c3aa4ead5700762bee975f44b17e88c23 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakit... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev_cot-mathemak-6b9a5d-1879664176 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T13:29:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev_cot", "dataset_config": "mathemakitten... | 2022-10-25T15:42:14+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: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakitten--winobias_antistereotype_dev_cot... | [
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673278884406b493c92a897afdedd8b19d7778a9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakit... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev_cot-mathemak-6b9a5d-1879664171 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T13:29:32+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "ArthurZ/opt-350m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev_cot", "dataset_config": "mathemakitten... | 2022-10-25T13:31:02+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: Zero-Shot Text Classification
* Model: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakitten--winobias_antistereotype_dev_cot... | [
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1fc8d17a6617ec0ea4d098ff55b497b6a40187ec | # PKLot 50
This dataset comprises 50 fully annotated images. The original images are were introduced in [*PKLot – A robust dataset for parking lot classification*](https://www.inf.ufpr.br/lesoliveira/download/ESWA2015.pdf).
## Labeling Method
Labeling was manually completed using CVAT with the assistance of Voxel51 fo... | ajankelo/pklot_50 | [
"language:en",
"license:cc-by-4.0",
"PKLot",
"object detection",
"region:us"
] | 2022-10-25T14:21:17+00:00 | {"language": "en", "license": "cc-by-4.0", "tags": ["PKLot", "object detection"]} | 2022-10-28T13:39:22+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #PKLot #object detection #region-us
| # PKLot 50
This dataset comprises 50 fully annotated images. The original images are were introduced in *PKLot – A robust dataset for parking lot classification*.
## Labeling Method
Labeling was manually completed using CVAT with the assistance of Voxel51 for inspection.
## Original dataset citation info
Almeida, P.,... | [
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4cb09996580bc8efbc747911f8eb5e96340ef5a4 |
# Dataset Card for Wine Recognition dataset
## Dataset Description
- **Homepage:** https://archive.ics.uci.edu/ml/datasets/wine
- **Papers:**
1. S. Aeberhard, D. Coomans and O. de Vel,
Comparison of Classifiers in High Dimensional Settings,
Tech. Rep. no. 92-02, (1992), Dept. of Computer Science ... | katossky/wine-recognition | [
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] | 2022-10-25T15:15:53+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": [], "license": ["unknown"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["tabular-classification"], "task_ids": ["tabular-multi-class-classification"], "pretty_name": "Wine Recognition... | 2022-10-29T09:22:58+00:00 | [] | [] | TAGS
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|
# Dataset Card for Wine Recognition dataset
## Dataset Description
- Homepage: URL
- Papers:
1. S. Aeberhard, D. Coomans and O. de Vel,
Comparison of Classifiers in High Dimensional Settings,
Tech. Rep. no. 92-02, (1992), Dept. of Computer Science and Dept. of
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68de10d8afbe20cad6c000a2553d533209fad025 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemak... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064213 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T16:30:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-350m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot", "dataset_config": "mathemakit... | 2022-10-25T16:31:46+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: Zero-Shot Text Classification
* Model: facebook/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_... | [
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7e69f670cfbb39f3508e80e451ce7b23670decad | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemaki... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064214 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T16:30:30+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot", "dataset_config": "mathemakitt... | 2022-10-25T18:35:25+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: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_c... | [
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4835a4ee92aee9bac60ad7dc8154c1f53d9ab40a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: ArthurZ/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemaki... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064210 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T16:30:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "ArthurZ/opt-125m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot", "dataset_config": "mathemakitt... | 2022-10-25T16:31:17+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: Zero-Shot Text Classification
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a5b40e34984ddd95bfeb302b23bcf53b95714bf7 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemaki... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064212 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T16:30:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot", "dataset_config": "mathemakitt... | 2022-10-25T17:28:08+00:00 | [] | [] | TAGS
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
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b562e2007d01f1bafc34a270b018a1269e74ed9f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-6.7b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemak... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064215 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-6.7b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
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399a3b63758d394fbf31111d478a13aaa3a4539d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemaki... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064209 | [
"autotrain",
"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
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9920e8130b63513c598a6cdde10df3e2728bccef | # Dataset Card for "financial-news-articles"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
The data was obtained from [here](https://www.kaggle.com/datasets/jeet2016/us-financial-news-articles) | ashraq/financial-news-articles | [
"region:us"
] | 2022-10-25T16:59:05+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 848347009, "num_examples": 306242}], "download_size": 492243206, "dataset_size": 848347009}} | 2022-10-25T17:01:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "financial-news-articles"
More Information needed
The data was obtained from here | [
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d57e1e36be67089516b1a173bdfe1ddc74d00d12 | # Dataset Card for "code_search_data-pep8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomekkorbak/code_search_data-pep8 | [
"region:us"
] | 2022-10-25T18:35:59+00:00 | {"dataset_info": {"features": [{"name": "repository_name", "dtype": "string"}, {"name": "func_path_in_repository", "dtype": "string"}, {"name": "func_name", "dtype": "string"}, {"name": "whole_func_string", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "func_code_string", "dtype": "string"}, {"n... | 2022-10-25T18:44:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code_search_data-pep8"
More Information needed | [
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9383a22eb926bd0335a2ad67f642b75b7f2ac33d | # Dataset Card for "codeparrot-pep8-scored"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomekkorbak/codeparrot-pep8-scored | [
"region:us"
] | 2022-10-25T19:12:34+00:00 | {"dataset_info": {"features": [{"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "copies", "dtype": "string"}, {"name": "size", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "hash", "dtype": "int64"}, {"name": "line_mea... | 2022-10-25T19:14:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "codeparrot-pep8-scored"
More Information needed | [
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e64c6762a193e9c8b2bf95454422a560b1c5ca87 | # Dataset Card for "github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lipaoMai/github-issues | [
"region:us"
] | 2022-10-25T19:17:29+00:00 | {"dataset_info": {"features": [{"name": "patient_id", "dtype": "int64"}, {"name": "drugName", "dtype": "string"}, {"name": "condition", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "rating", "dtype": "float64"}, {"name": "date", "dtype": "string"}, {"name": "usefulCount", "dtype": "int64"}], "spl... | 2022-10-25T19:17:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "github-issues"
More Information needed | [
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0da2571fe18ccc3748f7f202ee300a5824b33e37 | # Dataset Card for "drug_one_1dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lipaoMai/drug_one_1dataset | [
"region:us"
] | 2022-10-25T19:27:48+00:00 | {"dataset_info": {"features": [{"name": "patient_id", "dtype": "int64"}, {"name": "drugName", "dtype": "string"}, {"name": "condition", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "rating", "dtype": "float64"}, {"name": "date", "dtype": "string"}, {"name": "usefulCount", "dtype": "int64"}], "spl... | 2022-10-25T19:27:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "drug_one_1dataset"
More Information needed | [
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63f32b8f7bb300c1ac35e9146b38e7e2704c714d | This is a repreprocessed version of [P3](https://huggingface.co/datasets/bigscience/P3) with any updates that have been made to the P3 datasets since the release of the original P3. It is used for the finetuning of [bloomz-p3](https://huggingface.co/bigscience/bloomz-p3) & [mt0-xxl-p3](https://huggingface.co/bigscience... | Muennighoff/P3 | [
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| This is a repreprocessed version of P3 with any updates that have been made to the P3 datasets since the release of the original P3. It is used for the finetuning of bloomz-p3 & mt0-xxl-p3. The script is available here.
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5ec4fd478a40966b89315c2ad181766210c6a9d7 | # Dataset Card for OLM May 2017 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo [here](https://github.com/huggingface/olm-datasets) from 16% of the May 2017 Common Crawl snapshot.
Note: `last_modified_timestamp` was parsed from whatever a website returned in it's `Last-Modified` he... | olm/olm-CC-MAIN-2017-22-sampling-ratio-0.16178770949 | [
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| # Dataset Card for OLM May 2017 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo here from 16% of the May 2017 Common Crawl snapshot.
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43e6c210364333a854e568c24324db3fd67875d8 |
# Magic Armor Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by magic_armor"```
If it is to strong just add [] around it.
Trained until 10000 steps
I added a 7.5k steps... | Nerfgun3/magic_armor | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
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"region:us"
] | 2022-10-25T22:18:48+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-25T22:27:11+00:00 | [] | [
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#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Magic Armor Embedding / Textual Inversion
=========================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 10000 steps
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d7837f0e3a1e66eaa1884e7a29c7a40ad5c76e0a | <h4> Disclosure </h4>
<p> this is my 1st attempt at a embedding, while its not perfect i hope that you are able to create some nice pieces with it, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know </p>
<h4> Usage </h4>
To use this embedding you ha... | zZWipeoutZz/crusader_knight | [
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#license-creativeml-openrail-m #region-us
| #### Disclosure
this is my 1st attempt at a embedding, while its not perfect i hope that you are able to create some nice pieces with it, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know
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def71b74159a8460ce977fc2ace42e32947fb3fa | # Dataset Card for MoralExceptQA
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-field... | feradauto/MoralExceptQA | [
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"region:us"
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#task_categories-text-classification #arxiv-2210.01478 #region-us
| # Dataset Card for MoralExceptQA
## Table of Contents
- Table of Contents
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- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Personal and Sensitive Information
- Considerations for ... | [
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d017d05d7a9a805bb6cdb2a58abcf1561437011c | # Dataset Card for "Romance-cleaned-1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MarkGG/Romance-cleaned-1 | [
"region:us"
] | 2022-10-26T02:33:21+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5388007.848468044, "num_examples": 6491}, {"name": "validation", "num_bytes": 599313.1515319562, "num_examples": 722}], "download_size": 3844960, "dataset_size": 5987321.0}} | 2022-10-26T02:33:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Romance-cleaned-1"
More Information needed | [
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2f6f064d3cb82533354f710c230caf18bb7c521c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-1.3b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemak... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-acb860-1886064279 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-1.3b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_... | [
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465bad23e3af0249144d4497248a2812d90ccc7d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-2.7b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemak... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-acb860-1886064280 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-2.7b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_... | [
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692c8e1dcabbe24e337357e5624f1ccb2bae92cc | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemaki... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-acb860-1886064281 | [
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"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_c... | [
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25c4f65bb2c90a1c5ea0f5990287fce9529f3ae2 | # 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: Luciano/xlm-roberta-base-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
*... | autoevaluate/autoeval-eval-lener_br-lener_br-14b0f6-1886164287 | [
"autotrain",
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#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: Luciano/xlm-roberta-base-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation... | [
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0eaa9942f56bc4171844477deb35cb3fa3f7585d | # 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: Luciano/xlm-roberta-large-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
... | autoevaluate/autoeval-eval-lener_br-lener_br-14b0f6-1886164288 | [
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"region:us"
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#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: Luciano/xlm-roberta-large-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluatio... | [
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a582213b5f1d8c2c0a507ed7fea78a7863351bdc | # 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: Luciano/xlm-roberta-base-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
*... | autoevaluate/autoeval-eval-lener_br-lener_br-d57983-1886264289 | [
"autotrain",
"evaluation",
"region:us"
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#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: Luciano/xlm-roberta-base-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new evalu... | [
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5c5bc05f38b66ceb8f0ef48249ea8f70eeaf6489 | # 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: Luciano/xlm-roberta-large-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
... | autoevaluate/autoeval-eval-lener_br-lener_br-d57983-1886264290 | [
"autotrain",
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#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: Luciano/xlm-roberta-large-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: validation
To run new eval... | [
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a3b7a1c5b7d2ee5dea4f1016816d4b0a21608ab2 | # 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: Luciano/xlm-roberta-base-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
*... | autoevaluate/autoeval-eval-lener_br-lener_br-bd0c63-1886364291 | [
"autotrain",
"evaluation",
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#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: Luciano/xlm-roberta-base-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation ... | [
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40cc1ba923431846d9c2a83a5b70843f3fcfaf7a | # 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: Luciano/xlm-roberta-large-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
... | autoevaluate/autoeval-eval-lener_br-lener_br-bd0c63-1886364292 | [
"autotrain",
"evaluation",
"region:us"
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#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: Luciano/xlm-roberta-large-finetuned-lener_br-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation... | [
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c93949f7140beef4adc404e7b54841e957f81c54 | # Dataset Card for sberdevices_golos_100h_farfield
## 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 Instance... | bond005/sberdevices_golos_100h_farfield | [
"task_categories:automatic-speech-recognition",
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"language:... | 2022-10-26T04:04:50+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["ru"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100k"], "source_datasets": ["extended"], "task_categories": ["automatic-speech-recognition", "audio-classific... | 2022-10-27T03:23:04+00:00 | [
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## 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
- Annotations
- Person... | [
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a8395938b476a1cf89b6db79853110ee22616fcc | ## Dataset Description
The dataset is the subset of RCV1. These corpus has already been used in author identification experiments. In the top 50 authors (with respect to total size of articles) were selected. 50 authors of texts labeled with at least one subtopic of the class CCAT(corporate/industrial) were selected.Th... | yeeb/C50 | [
"license:openrail",
"region:us"
] | 2022-10-26T04:49:50+00:00 | {"license": "openrail"} | 2022-10-26T04:55:06+00:00 | [] | [] | TAGS
#license-openrail #region-us
| ## Dataset Description
The dataset is the subset of RCV1. These corpus has already been used in author identification experiments. In the top 50 authors (with respect to total size of articles) were selected. 50 authors of texts labeled with at least one subtopic of the class CCAT(corporate/industrial) were selected.Th... | [
"## Dataset Description\nThe dataset is the subset of RCV1. These corpus has already been used in author identification experiments. In the top 50 authors (with respect to total size of articles) were selected. 50 authors of texts labeled with at least one subtopic of the class CCAT(corporate/industrial) were selec... | [
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9f2b30fed6f314b8774d02e290843ecf086b0031 | Relevant Paper - `https://github.com/Hritikbansal/entigen_emnlp`
language of prompts - English | hbXNov/entigen | [
"region:us"
] | 2022-10-26T04:55:43+00:00 | {} | 2022-10-26T06:20:22+00:00 | [] | [] | TAGS
#region-us
| Relevant Paper - 'URL
language of prompts - English | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f25e9b73b1ff9fa992e8b07dc68a6e5d09fa70fe | # C4 200M
# Dataset Summary
C4 200M Sample Dataset adopted from https://huggingface.co/datasets/liweili/c4_200m
C4_200m is a collection of 185 million sentence pairs generated from the cleaned English dataset from C4. This dataset can be used in grammatical error correction (GEC) tasks.
The corruption edits and sc... | leslyarun/c4_200m_gec_train100k_test25k | [
"task_categories:text-generation",
"source_datasets:allenai/c4",
"language:en",
"grammatical-error-correction",
"region:us"
] | 2022-10-26T06:21:21+00:00 | {"language": ["en"], "source_datasets": ["allenai/c4"], "task_categories": ["text-generation"], "pretty_name": "C4 200M Grammatical Error Correction Dataset", "tags": ["grammatical-error-correction"]} | 2022-10-26T06:59:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #source_datasets-allenai/c4 #language-English #grammatical-error-correction #region-us
| # C4 200M
# Dataset Summary
C4 200M Sample Dataset adopted from URL
C4_200m is a collection of 185 million sentence pairs generated from the cleaned English dataset from C4. This dataset can be used in grammatical error correction (GEC) tasks.
The corruption edits and scripts used to synthesize this dataset is ref... | [
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41c51d1746fa0bd24992037a8a00d68abd21aa76 | # Dataset Card for "food102"
This is based on the [food101](https://huggingface.co/datasets/food101) dataset with an extra class generated with a Stable Diffusion model.
A detailed walk-through is available on [YouTube](https://youtu.be/sIe0eo3fYQ4).
| juliensimon/food102 | [
"region:us"
] | 2022-10-26T07:44:52+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "apple_pie", "1": "baby_back_ribs", "2": "baklava", "3": "beef_carpaccio", "4": "beef_tartare", "5": "beet_salad", "6": "beignets", "7": "bibimbap", "8": "boeuf_bourguignon", "9": "bread_puddin... | 2022-10-26T18:43:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "food102"
This is based on the food101 dataset with an extra class generated with a Stable Diffusion model.
A detailed walk-through is available on YouTube.
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d3c241cacb6532a7f6d1de771d2ac8827f6bad25 | ## Dataset Description
- **Dataset authors:** [Suno.ai](https://www.suno.ai)
- **Point of contact:** sanchit@huggingface.co
As a part of ESB benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESB validation s... | esb/diagnostic-dataset | [
"task_categories:automatic-speech-recognition",
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"multilinguality:monolingual",
"size_categories:100K<n<1M",
... | 2022-10-26T09:25:33+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0", "apache-2.0", "cc0-1.0", "cc-by-nc-3.0", "other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "1M<n<10M"],... | 2022-10-26T15:42:41+00:00 | [] | [
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- Dataset authors: URL
- Point of contact: sanchit@URL
As a part of ESB benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESB validation sets, giving a range of different domains and s... | [
"## Dataset Description\n- Dataset authors: URL\n- Point of contact: sanchit@URL\n\nAs a part of ESB benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESB validation sets, giving a range of different doma... | [
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e634b6b810e4d30c81b4c6d8262379fe8b9f708c |
# Dataset Card for sberdevices_golos_10h_crowd
## 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]... | bond005/sberdevices_golos_10h_crowd | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
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"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"source_datasets:extended",
"language:... | 2022-10-26T10:12:15+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["ru"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100k"], "source_datasets": ["extended"], "task_categories": ["automatic-speech-recognition", "audio-classific... | 2022-10-27T03:42:07+00:00 | [
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===============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Cura... | [
"### Dataset Summary\n\n\nSberdevices Golos is a corpus of approximately 1200 hours of 16kHz Russian speech from crowd (reading speech) and farfield (communication with smart devices) domains, prepared by SberDevices Team (Alexander Denisenko, Angelina Kovalenko, Fedor Minkin, and Nikolay Karpov). The data is deriv... | [
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fd04a127b3d6801afbe4ba38b66c98d0de647e01 |
# Winter Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by winter_style"```
If it is to strong just add [] around it.
Trained until 10000 steps
I added a 7.5k ste... | Nerfgun3/winter_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-26T10:28:44+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-26T19:45:11+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Winter Style Embedding / Textual Inversion
==========================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 10000 step... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] |
209818b23654f0057dbac7bb86b6bba4c95d82d1 |
# KPBiomed, A Large-Scale Dataset for keyphrase generation
## About
This dataset is made of 5.6 million abstracts with author assigned keyphrases.
Details about the dataset can be found in the original paper:
Maël Houbre, Florian Boudin and Béatrice Daille. 2022. [A Large-Scale Dataset for Biomedical Keyphrase Gen... | taln-ls2n/kpbiomed | [
"task_categories:text-generation",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-nc-4.0",
"arxiv:2211.12124",
"region:us"
] | 2022-10-26T12:41:01+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["en"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "task_categories": ["text-mining", "text-generation"], "task_ids": ["keyphrase-generation", "keyphrase-extraction"], "pretty_name... | 2022-12-01T10:52:09+00:00 | [
"2211.12124"
] | [
"en"
] | TAGS
#task_categories-text-generation #annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-100K<n<1M #language-English #license-cc-by-nc-4.0 #arxiv-2211.12124 #region-us
| KPBiomed, A Large-Scale Dataset for keyphrase generation
========================================================
About
-----
This dataset is made of 5.6 million abstracts with author assigned keyphrases.
Details about the dataset can be found in the original paper:
Maël Houbre, Florian Boudin and Béatrice Daille... | [] | [
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] |
13f26365766f8f61eea21bf45d65936aaaa70db8 |
# Brush Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by brush_style"```
If it is to strong just add [] around it.
Trained until 10000 steps
I added a 7.5k steps... | Nerfgun3/brush_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-26T15:36:36+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-29T09:50:13+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Brush Style Embedding / Textual Inversion
=========================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 10000 steps
... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
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4d83c979660e9d000bcd08a9b91093e8dca3eff5 | # Dataset Card for "img-256-shinkai-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | woctordho/img-256-shinkai-2 | [
"region:us"
] | 2022-10-26T16:40:48+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 11515086349.93, "num_examples": 811410}], "download_size": 11660877157, "dataset_size": 11515086349.93}} | 2022-11-19T23:35:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "img-256-shinkai-2"
More Information needed | [
"# Dataset Card for \"img-256-shinkai-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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61f4efc23daf87b98918ca90c359e9bb8f92a900 | Cómo reclamar los daños después de un apagón eléctrico: las indemnizaciones que debe costear la empresa tras cortar el suministro | Aserehe6546545/Ghgfgg | [
"region:us"
] | 2022-10-26T18:21:00+00:00 | {} | 2022-10-26T18:22:13+00:00 | [] | [] | TAGS
#region-us
| Cómo reclamar los daños después de un apagón eléctrico: las indemnizaciones que debe costear la empresa tras cortar el suministro | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
1671bffd719c8370d046334203752f9a2459ca54 | # Dataset Card for "img-256-danbooru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | woctordho/img-256-danbooru | [
"region:us"
] | 2022-10-26T18:24:12+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 23138302451.076, "num_examples": 990501}], "download_size": 23099440688, "dataset_size": 23138302451.076}} | 2022-11-19T20:50:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "img-256-danbooru"
More Information needed | [
"# Dataset Card for \"img-256-danbooru\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"img-256-danbooru\"\n\nMore Information needed"
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ac2f44906b2ed4f46bf547b7db4c055cb10b601b | # Dataset Card for "shape-scenes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | f-biondi/shape-scenes | [
"region:us"
] | 2022-10-26T19:26:33+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 558709806.875, "num_examples": 97881}], "download_size": 317164682, "dataset_size": 558709806.875}} | 2022-10-26T19:27:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "shape-scenes"
More Information needed | [
"# Dataset Card for \"shape-scenes\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"shape-scenes\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"shape-scenes\"\n\nMore Information needed"
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fd3366545ad353723966836cc25f1ed10b7ef355 |
# Description
This dataset is a subset of [LibriSpeech](https://huggingface.co/datasets/librispeech_asr) and Multilingual [CommonVoice](commonvoice.mozilla.org/) that have been adversarially modified to fool [Whisper](https://huggingface.co/openai/whisper-medium) ASR model.
Original [source code](https://github.com/... | RaphaelOlivier/whisper_adversarial_examples | [
"license:cc-by-4.0",
"region:us"
] | 2022-10-26T19:29:43+00:00 | {"license": "cc-by-4.0"} | 2022-11-03T21:48:16+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Description
This dataset is a subset of LibriSpeech and Multilingual CommonVoice that have been adversarially modified to fool Whisper ASR model.
Original source code.
The raw tar files.
# Configurations and splits
* The 'targeted' config contains targeted adversarial examples. When successful, they fool Whisper ... | [
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3446dd8617356de7b1980ebfc0a50b946eb21de3 | # Dataset Card for "img-256-photo-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | woctordho/img-256-photo-2 | [
"region:us"
] | 2022-10-26T20:08:43+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 12133208417.44, "num_examples": 996698}], "download_size": 11930597168, "dataset_size": 12133208417.44}} | 2022-11-20T02:56:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "img-256-photo-2"
More Information needed | [
"# Dataset Card for \"img-256-photo-2\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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ce79dcfb8e000cbac80111f73c64d368997230ad | # Dataset Card for "codeparrot-valid-more-filtering-debug"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kejian/codeparrot-valid-more-filtering-debug | [
"region:us"
] | 2022-10-26T20:21:58+00:00 | {"dataset_info": {"features": [{"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "copies", "dtype": "string"}, {"name": "size", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "hash", "dtype": "int64"}, {"name": "line_mea... | 2022-10-26T20:22:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "codeparrot-valid-more-filtering-debug"
More Information needed | [
"# Dataset Card for \"codeparrot-valid-more-filtering-debug\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"codeparrot-valid-more-filtering-debug\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"codeparrot-valid-more-filtering-debug\"\n\nMore Information needed"
] |
7cdae06c98ca54f8892daf6a80efb4a9d8a2abd0 |
# MiCRO: Multi-interest Candidate Retrieval Online
[](http://makeapullrequest.com)
[](https://arxiv.org/abs/2210.16271)
This repo contains the TwitterFaveGraph dataset ... | Twitter/TwitterFaveGraph | [
"license:cc-by-4.0",
"arxiv:2210.16271",
"region:us"
] | 2022-10-26T23:44:43+00:00 | {"license": "cc-by-4.0"} | 2022-10-31T23:58:49+00:00 | [
"2210.16271"
] | [] | TAGS
#license-cc-by-4.0 #arxiv-2210.16271 #region-us
| MiCRO: Multi-interest Candidate Retrieval Online
================================================
![arXiv](URL
This repo contains the TwitterFaveGraph dataset from our paper MiCRO: Multi-interest Candidate Retrieval Online.
[[PDF]](URL
[[HuggingFace Datasets]](URL
<a rel="license" href="UR... | [] | [
"TAGS\n#license-cc-by-4.0 #arxiv-2210.16271 #region-us \n"
] | [
25
] | [
"passage: TAGS\n#license-cc-by-4.0 #arxiv-2210.16271 #region-us \n"
] |
018b0006db780c8e80c37ec87fe27ed2798ab8a8 |
# kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
[](http://makeapullrequest.com)
[](https://arxiv.org/pdf/2205.06205.pdf)
This r... | Twitter/TwitterFollowGraph | [
"license:cc-by-4.0",
"arxiv:2205.06205",
"region:us"
] | 2022-10-27T00:01:25+00:00 | {"license": "cc-by-4.0"} | 2022-10-31T23:55:05+00:00 | [
"2205.06205"
] | [] | TAGS
#license-cc-by-4.0 #arxiv-2205.06205 #region-us
| kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
=====================================================================================
![arXiv](URL
This repo contains the TwitterFaveGraph dataset from our paper kNN-Embed: Locally Smoothed Embedding Mixtures F... | [] | [
"TAGS\n#license-cc-by-4.0 #arxiv-2205.06205 #region-us \n"
] | [
24
] | [
"passage: TAGS\n#license-cc-by-4.0 #arxiv-2205.06205 #region-us \n"
] |
5b1dd4215db57c070673a560981545a3310ed9ee | #Overview
This is a dataset I am using for my thesis project Myaamia Translator.
<p style="color: darkred">This is not meant to be used for production yet</p>
<i>I just want to try out a few things.</i> | bishalbaaniya/myaamia_english | [
"region:us"
] | 2022-10-27T00:32:57+00:00 | {} | 2022-10-27T00:54:46+00:00 | [] | [] | TAGS
#region-us
| #Overview
This is a dataset I am using for my thesis project Myaamia Translator.
<p style="color: darkred">This is not meant to be used for production yet</p>
<i>I just want to try out a few things.</i> | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
98c3bf49ac85d8b9fd593a22a414322cbd9ecb36 |
# League Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file, as well as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by league_style-1000-[number of steps for the version you chose]"```
For example, if you chose the 11.5k s... | grullborg/league_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-27T00:53:50+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-27T01:27:20+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| League Style Embedding / Textual Inversion
==========================================
Usage
-----
To use this embedding you have to download the file, as well as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
For example, if you chose the 11.5k steps ver, it would be
If it... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] |
52d78f738b103421956771b5ae8a3c5fd506a8c5 |  | filevich/t1k22 | [
"region:us"
] | 2022-10-27T01:20:22+00:00 | {} | 2024-02-01T22:08:15+00:00 | [] | [] | TAGS
#region-us
| !Screenshot from 2022-06-20 URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
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