sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c86bc5e4a545890f72914360d16f358bc0a19098 | # Dataset Card for "intent_test_v13_anonymized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deprem-private/intent_test_v13_anonymized | [
"region:us"
] | 2023-02-20T00:15:23+00:00 | {"dataset_info": {"features": [{"name": "image_url", "dtype": "string"}, {"name": "label", "sequence": "string"}, {"name": "label_confidence", "sequence": "float64"}, {"name": "labeler", "dtype": "string"}, {"name": "label_creation_time", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 588460, "num_exampl... | 2023-02-20T00:15:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "intent_test_v13_anonymized"
More Information needed | [
"# Dataset Card for \"intent_test_v13_anonymized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"intent_test_v13_anonymized\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"intent_test_v13_anonymized\"\n\nMore Information needed"
] |
b2be2025606000512e9d43e61d46f1430644a802 | # Dataset Card for "intent_train_v13_anonymized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deprem-private/intent_train_v13_anonymized | [
"region:us"
] | 2023-02-20T00:47:57+00:00 | {"dataset_info": {"features": [{"name": "image_url", "dtype": "string"}, {"name": "label", "sequence": "string"}, {"name": "label_confidence", "sequence": "float64"}, {"name": "labeler", "dtype": "string"}, {"name": "label_creation_time", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2367324, "num_examp... | 2023-02-20T00:48:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "intent_train_v13_anonymized"
More Information needed | [
"# Dataset Card for \"intent_train_v13_anonymized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"intent_train_v13_anonymized\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"intent_train_v13_anonymized\"\n\nMore Information needed"
] |
d81e7aea789facdbbe1fd5f9c956b24bb42f8d76 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- https://github.com/mhmaqbool/mobilerec
- **Repository:**
- https://github.com/mhmaqbool/mobilerec
- **Paper:**
- MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation
- **Point of Contact:**
- M.H. Maqbool (hasan.khowaja@gmail.com)
- ... | recmeapp/mobilerec | [
"region:us"
] | 2023-02-20T02:40:55+00:00 | {} | 2023-02-21T17:06:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- URL
- Repository:
- URL
- Paper:
- MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation
- Point of Contact:
- M.H. Maqbool (hasan.khowaja@URL)
- Abubakar Siddique (URL@URL)
### Dataset Summary
MobileRec is a large-scale app recommendat... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage:\n- URL\n- Repository:\n- URL\n- Paper:\n- MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation\n- Point of Contact:\n- M.H. Maqbool (hasan.khowaja@URL)\n- Abubakar Siddique (URL@URL)",
"### Dataset Summary\n\nMobileRec is a lar... | [
"TAGS\n#region-us \n",
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage:\n- URL\n- Repository:\n- URL\n- Paper:\n- MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation\n- Point of Contact:\n- M.H. Maqbool (hasan.khowaja@URL)\n- Abubakar Siddique (URL@URL)",
"### Dataset Summ... | [
6,
8,
69,
82,
17,
5,
8,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
5
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage:\n- URL\n- Repository:\n- URL\n- Paper:\n- MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation\n- Point of Contact:\n- M.H. Maqbool (hasan.khowaja@URL)\n- Abubakar Siddique (URL@URL)### Dataset Summary\n\nMo... |
7d29a5d18b7a210547e6fb051eeefc39abf9eb4a |
**Official website**: https://github.com/lfoppiano/SuperMat
### Reference
The paper discussing this datset can be found [here](https://doi.org/10.1080/27660400.2021.1918396) or on [arxiv](arxiv.org/abs/2101.02455)
For citing:
```
@article{doi:10.1080/27660400.2021.1918396,
author = {Luca Foppiano and Sae Dieb and ... | lfoppiano/SuperMat | [
"task_categories:token-classification",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-4.0",
"materials science",
"ner",
"machine learning",
"superconductors",
"arxiv:2101.02455",
"region:us"
] | 2023-02-20T02:49:32+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["token-classification"], "pretty_name": "supermat", "tags": ["materials science", "ner", "machine learning", "superconductors"]} | 2023-10-24T22:55:51+00:00 | [
"2101.02455"
] | [
"en"
] | TAGS
#task_categories-token-classification #size_categories-1M<n<10M #language-English #license-cc-by-4.0 #materials science #ner #machine learning #superconductors #arxiv-2101.02455 #region-us
|
Official website: URL
### Reference
The paper discussing this datset can be found here or on arxiv
For citing:
| [
"### Reference\n\nThe paper discussing this datset can be found here or on arxiv\n\nFor citing:"
] | [
"TAGS\n#task_categories-token-classification #size_categories-1M<n<10M #language-English #license-cc-by-4.0 #materials science #ner #machine learning #superconductors #arxiv-2101.02455 #region-us \n",
"### Reference\n\nThe paper discussing this datset can be found here or on arxiv\n\nFor citing:"
] | [
66,
21
] | [
"passage: TAGS\n#task_categories-token-classification #size_categories-1M<n<10M #language-English #license-cc-by-4.0 #materials science #ner #machine learning #superconductors #arxiv-2101.02455 #region-us \n### Reference\n\nThe paper discussing this datset can be found here or on arxiv\n\nFor citing:"
] |
a246da01ea1e4f0bea068e226ace5e0224846b6a | # Dataset Card for "tinydata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jlbaker361/tinydata | [
"region:us"
] | 2023-02-20T06:12:29+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "sequence", "sequence": "int64"}, {"name": "occurence", "dtype": "int64"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13421, "num_examples": 10}], "download_size": 5408, "dataset_size": 13421}} | 2023-02-20T06:12:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tinydata"
More Information needed | [
"# Dataset Card for \"tinydata\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tinydata\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tinydata\"\n\nMore Information needed"
] |
7c375f952d0e1e4509c2db3b37a2e4e7ce1876bf | # Dataset Card for "enwiki20230101-pageid-minilml6v2embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lsb/enwiki20230101-pageid-minilml6v2embeddings | [
"region:us"
] | 2023-02-20T07:12:51+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "minilml6v2", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 110468184098, "num_examples": 57745806}], "download_size": 137147681757, "dataset_size": 110468184098}} | 2023-02-20T09:34:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "enwiki20230101-pageid-minilml6v2embeddings"
More Information needed | [
"# Dataset Card for \"enwiki20230101-pageid-minilml6v2embeddings\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"enwiki20230101-pageid-minilml6v2embeddings\"\n\nMore Information needed"
] | [
6,
28
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"enwiki20230101-pageid-minilml6v2embeddings\"\n\nMore Information needed"
] |
ed0e4994f18f86132594a81f1f3a5df84b946d04 | ## To use this dataset for your research, please cite the following preprint. Full-paper will be available soon.
[Preprint](https://arxiv.org/abs/2212.02842)
### Citation:
@article{thambawita2022visem,
title={VISEM-Tracking: Human Spermatozoa Tracking Dataset},
author={Thambawita, Vajira and Hicks, Steven A and Sto... | SimulaMet-HOST/VISEM-Tracking | [
"task_categories:object-detection",
"size_categories:1B<n<10B",
"license:cc-by-4.0",
"sperm",
"VISEM-Tracking",
"sperm tracking",
"tracking",
"arxiv:2212.02842",
"region:us"
] | 2023-02-20T07:42:59+00:00 | {"license": "cc-by-4.0", "size_categories": ["1B<n<10B"], "task_categories": ["object-detection"], "pretty_name": "VISEM-Tracking", "tags": ["sperm", "VISEM-Tracking", "sperm tracking", "tracking"]} | 2023-02-20T08:54:57+00:00 | [
"2212.02842"
] | [] | TAGS
#task_categories-object-detection #size_categories-1B<n<10B #license-cc-by-4.0 #sperm #VISEM-Tracking #sperm tracking #tracking #arxiv-2212.02842 #region-us
| ## To use this dataset for your research, please cite the following preprint. Full-paper will be available soon.
Preprint
:
@article{thambawita2022visem,
title={VISEM-Tracking: Human Spermatozoa Tracking Dataset},
author={Thambawita, Vajira and Hicks, Steven A and Stor{\aa}s, Andrea M and Nguyen, Thu and Andersen, ... | [
"## To use this dataset for your research, please cite the following preprint. Full-paper will be available soon.\n\nPreprint\n\n:\n@article{thambawita2022visem, \ntitle={VISEM-Tracking: Human Spermatozoa Tracking Dataset}, \nauthor={Thambawita, Vajira and Hicks, Steven A and Stor{\\aa}s, Andrea M and Nguyen, Thu a... | [
"TAGS\n#task_categories-object-detection #size_categories-1B<n<10B #license-cc-by-4.0 #sperm #VISEM-Tracking #sperm tracking #tracking #arxiv-2212.02842 #region-us \n",
"## To use this dataset for your research, please cite the following preprint. Full-paper will be available soon.\n\nPreprint\n\n:\n@article{tham... | [
64,
166,
139,
84,
18
] | [
"passage: TAGS\n#task_categories-object-detection #size_categories-1B<n<10B #license-cc-by-4.0 #sperm #VISEM-Tracking #sperm tracking #tracking #arxiv-2212.02842 #region-us \n## To use this dataset for your research, please cite the following preprint. Full-paper will be available soon.\n\nPreprint\n\n:\n@article{t... |
b75fd0d0eeb8ff7eeea97cb691be8ef631945561 | # Dataset Card for "CaribbeanScans"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nadav/CaribbeanScans | [
"region:us"
] | 2023-02-20T09:09:33+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "evaluation", "1": "train"}}}}], "splits": [{"name": "train", "num_bytes": 152948913099.784, "num_examples": 1675172}, {"name": "test", "num_bytes": 9056919525.81, "num_examples": 87721}], "dow... | 2023-02-21T01:28:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CaribbeanScans"
More Information needed | [
"# Dataset Card for \"CaribbeanScans\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"CaribbeanScans\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"CaribbeanScans\"\n\nMore Information needed"
] |
ee6f39553b6fe4424f0a52b61a8de2a893390744 | # Dataset Card for "stackoverflow_python"
### Dataset Summary
This dataset comes originally from [kaggle](https://www.kaggle.com/stackoverflow/pythonquestions).
It was originally split into three tables (CSV files) (Questions, Answers, and Tags)
now merged into a single table. Each row corresponds to a pair (questi... | koutch/stackoverflow_python | [
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"region:us"
] | 2023-02-20T09:44:08+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["question-answering"], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question_body", "dtype": "string"}, {"name": "question_score", "dtype": "int64"}, {"name": "question_... | 2023-03-27T14:22:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-100K<n<1M #language-English #region-us
| # Dataset Card for "stackoverflow_python"
### Dataset Summary
This dataset comes originally from kaggle.
It was originally split into three tables (CSV files) (Questions, Answers, and Tags)
now merged into a single table. Each row corresponds to a pair (question-answer) and
their associated tags.
The dataset con... | [
"# Dataset Card for \"stackoverflow_python\"",
"### Dataset Summary\n\nThis dataset comes originally from kaggle. \nIt was originally split into three tables (CSV files) (Questions, Answers, and Tags)\nnow merged into a single table. Each row corresponds to a pair (question-answer) and \ntheir associated tags. \n... | [
"TAGS\n#task_categories-question-answering #size_categories-100K<n<1M #language-English #region-us \n",
"# Dataset Card for \"stackoverflow_python\"",
"### Dataset Summary\n\nThis dataset comes originally from kaggle. \nIt was originally split into three tables (CSV files) (Questions, Answers, and Tags)\nnow me... | [
34,
14,
87,
26,
5,
26
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-100K<n<1M #language-English #region-us \n# Dataset Card for \"stackoverflow_python\"### Dataset Summary\n\nThis dataset comes originally from kaggle. \nIt was originally split into three tables (CSV files) (Questions, Answers, and Tags)\nnow merge... |
55ab0408717cf9d2e4f4819079a59a94ca7a5db9 |
# Hyundai Equus 1999
현대 에쿠스 1세대 로라
가중치 0.8 ~ 1 권장
[다운로드 (151MB)](https://huggingface.co/datasets/AIARTCHAN/lora-Hyundai_Equus_1999/resolve/main/Equus_1-000006.safetensors)
| AIARTCHAN/lora-Hyundai_Equus_1999 | [
"license:creativeml-openrail-m",
"lora",
"aiartchan",
"stable-diffusion",
"region:us"
] | 2023-02-20T10:05:56+00:00 | {"license": "creativeml-openrail-m", "pretty_name": "Hyundai Equus 1999", "tags": ["lora", "aiartchan", "stable-diffusion"]} | 2023-02-20T10:08:16+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #lora #aiartchan #stable-diffusion #region-us
|
# Hyundai Equus 1999
현대 에쿠스 1세대 로라
가중치 0.8 ~ 1 권장
다운로드 (151MB)
| [
"# Hyundai Equus 1999\n\n현대 에쿠스 1세대 로라\n\n가중치 0.8 ~ 1 권장\n\n다운로드 (151MB)"
] | [
"TAGS\n#license-creativeml-openrail-m #lora #aiartchan #stable-diffusion #region-us \n",
"# Hyundai Equus 1999\n\n현대 에쿠스 1세대 로라\n\n가중치 0.8 ~ 1 권장\n\n다운로드 (151MB)"
] | [
32,
28
] | [
"passage: TAGS\n#license-creativeml-openrail-m #lora #aiartchan #stable-diffusion #region-us \n# Hyundai Equus 1999\n\n현대 에쿠스 1세대 로라\n\n가중치 0.8 ~ 1 권장\n\n다운로드 (151MB)"
] |
8975c9562ddeb770b544fbdf1c97acd3b41c89e6 | dataset_info:
features:
- name: questionId
dtype: int64
- name: question
dtype: string
- name: image
sequence:
sequence:
sequence:
sequence: uint8
- name: docId
dtype: int64
- name: ucsf_document_id
dtype: string
- name: ucsf_document... | Near-Start/layoutlm_docvqa_demo | [
"license:openrail",
"region:us"
] | 2023-02-20T10:51:00+00:00 | {"license": "openrail"} | 2023-02-20T11:54:45+00:00 | [] | [] | TAGS
#license-openrail #region-us
| dataset_info:
features:
- name: questionId
dtype: int64
- name: question
dtype: string
- name: image
sequence:
sequence:
sequence:
sequence: uint8
- name: docId
dtype: int64
- name: ucsf_document_id
dtype: string
- name: ucsf_document... | [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-openrail #region-us \n"
] |
b4a1f6a7be51b198fb059e10819f7d02dc7f1f86 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: stacked-summaries/flan-t5-large-samsum
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation... | autoevaluate/autoeval-eval-samsum-samsum-8b7a44-3603696533 | [
"autotrain",
"evaluation",
"region:us"
] | 2023-02-20T12:31:00+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "stacked-summaries/flan-t5-large-samsum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": "summ... | 2023-02-20T12:34:03+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: Summarization
* Model: stacked-summaries/flan-t5-large-samsum
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's automati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: stacked-summaries/flan-t5-large-samsum\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\nTo run new evaluation jobs, visit Hugging ... | [
"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: Summarization\n* Model: stacked-summaries/flan-t5-large-samsum\n* Dataset: samsum\n* Config: samsum\n* Split: te... | [
13,
91,
16
] | [
"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: Summarization\n* Model: stacked-summaries/flan-t5-large-samsum\n* Dataset: samsum\n* Config: samsum\n* Split:... |
48617dcbf143bc0021beb1a280e2ec5b4540fc57 | # Dataset Card for "zambezivoice_lozi_text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zambezivoice/zambezivoice_lozi_text | [
"region:us"
] | 2023-02-20T12:36:45+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 185840, "num_examples": 2525}], "download_size": 107478, "dataset_size": 185840}} | 2023-02-20T12:36:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "zambezivoice_lozi_text"
More Information needed | [
"# Dataset Card for \"zambezivoice_lozi_text\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"zambezivoice_lozi_text\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"zambezivoice_lozi_text\"\n\nMore Information needed"
] |
0ffe24908a2f79653e3555baff915aff51e3efd1 |
# Dataset Card for "RO-News-Offense"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-in... | readerbench/news-ro-offense | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ro",
"license:apache-2.0",
"hate-speech-detection",
"regio... | 2023-02-20T13:04:34+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ro"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pretty_nam... | 2023-06-13T19:03:39+00:00 | [] | [
"ro"
] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us
| Dataset Card for "RO-News-Offense"
==================================
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 D... | [
"### Dataset Summary\n\n\na novel Romanian language dataset for offensive message detection with manually\nannotated comment from a local Romanian news website (stiri de cluj) into five classes:\n\n\n* non-offensive\n* targeted insults\n* racist\n* homophobic\n* sexist\n\n\nResulting in 4052 annotated messages",
... | [
"TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us \n",
"### Dataset Su... | [
102,
72,
13,
18,
124,
11,
21,
8,
10,
13,
5,
5,
13,
38,
55,
8,
14,
6,
19,
5
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us \n### Dataset... |
5846527512e7f82a419aa73b134f84419c3efb46 | # Dataset Card for "zambezivoice_toi_text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zambezivoice/zambezivoice_toi_text | [
"region:us"
] | 2023-02-20T13:39:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 777892, "num_examples": 8881}], "download_size": 438920, "dataset_size": 777892}} | 2023-02-20T13:39:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "zambezivoice_toi_text"
More Information needed | [
"# Dataset Card for \"zambezivoice_toi_text\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"zambezivoice_toi_text\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"zambezivoice_toi_text\"\n\nMore Information needed"
] |
34c7e5ed9b1896712cd34d8b285153174b9c7585 |
# MOCKS: Multilingual Open Custom Keyword Spotting Testset
## 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)
- [Data... | voiceintelligenceresearch/MOCKS | [
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:en",
"language:de",
"language:es",
"language:fr",
"language:it",
"license:cc-by-4.0",
"license:mpl-2.0",
"region:us"
] | 2023-02-20T13:40:22+00:00 | {"annotations_creators": ["expert-generated"], "language": ["en", "de", "es", "fr", "it"], "license": ["cc-by-4.0", "mpl-2.0"], "multilinguality": ["multilingual"], "dataset_info": [{"config_name": "config", "features": [{"name": "audio_id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 160... | 2023-10-27T14:55:12+00:00 | [] | [
"en",
"de",
"es",
"fr",
"it"
] | TAGS
#annotations_creators-expert-generated #multilinguality-multilingual #language-English #language-German #language-Spanish #language-French #language-Italian #license-cc-by-4.0 #license-mpl-2.0 #region-us
|
# MOCKS: Multilingual Open Custom Keyword Spotting Testset
## 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 ... | [
"# MOCKS: Multilingual Open Custom Keyword Spotting Testset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rat... | [
"TAGS\n#annotations_creators-expert-generated #multilinguality-multilingual #language-English #language-German #language-Spanish #language-French #language-Italian #license-cc-by-4.0 #license-mpl-2.0 #region-us \n",
"# MOCKS: Multilingual Open Custom Keyword Spotting Testset",
"## Table of Contents\n- Table of ... | [
68,
15,
125,
22,
207,
153,
35,
487,
677,
211
] | [
"passage: TAGS\n#annotations_creators-expert-generated #multilinguality-multilingual #language-English #language-German #language-Spanish #language-French #language-Italian #license-cc-by-4.0 #license-mpl-2.0 #region-us \n# MOCKS: Multilingual Open Custom Keyword Spotting Testset## Table of Contents\n- Table of Con... |
c972e311567afdd3e4e6be81be124a5421398658 | # Dataset Card for "zambezivoice_nya_text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zambezivoice/zambezivoice_nya_text | [
"region:us"
] | 2023-02-20T13:57:06+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 877942, "num_examples": 8739}], "download_size": 461513, "dataset_size": 877942}} | 2023-02-20T13:57:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "zambezivoice_nya_text"
More Information needed | [
"# Dataset Card for \"zambezivoice_nya_text\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"zambezivoice_nya_text\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"zambezivoice_nya_text\"\n\nMore Information needed"
] |
7220bfe8f1a4f02b0d4a61a9e441ac8ea4cb0865 | # Dataset Card for "VQAv2_sample_validation_facebook_opt_2.7b_mode_VQAv2_visclues_detection_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_sample_validation_facebook_opt_2.7b_mode_VQAv2_visclues_detection_ns_1000 | [
"region:us"
] | 2023-02-20T14:09:43+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_8", "num... | 2023-02-20T14:09:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_sample_validation_facebook_opt_2.7b_mode_VQAv2_visclues_detection_ns_1000"
More Information needed | [
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_2.7b_mode_VQAv2_visclues_detection_ns_1000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_2.7b_mode_VQAv2_visclues_detection_ns_1000\"\n\nMore Information needed"
] | [
6,
48
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_sample_validation_facebook_opt_2.7b_mode_VQAv2_visclues_detection_ns_1000\"\n\nMore Information needed"
] |
e693e8bbb195b3b4c2911ba82cae237a91042cdb |
# Dataset Card for "RO-Offense-Sequences"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#dat... | readerbench/ro-offense | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:readerbench/ro-offense",
"language:ro",
"license:apache-2.0",
"hate-speech-detect... | 2023-02-20T14:21:40+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ro"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["readerbench/ro-offense"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"... | 2023-08-08T09:48:15+00:00 | [] | [
"ro"
] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-readerbench/ro-offense #language-Romanian #license-apache-2.0 #hate-speech-detection #offensive speech #romani... | Dataset Card for "RO-Offense-Sequences"
=======================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
... | [
"### Dataset Summary\n\n\na novel Romanian language dataset for offensive language detection with manually\nannotated offensive labels from a local Romanian sports news website (URL):\n\n\nResulting in 12,445 annotated messages",
"### Languages\n\n\nRomanian\n\n\nDataset Structure\n-----------------",
"### Data... | [
"TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-readerbench/ro-offense #language-Romanian #license-apache-2.0 #hate-speech-detection #offensive speech #... | [
120,
51,
13,
18,
56,
11,
201,
9,
10,
14,
15,
5,
13,
148,
64,
218,
13,
37,
55,
8,
14,
6,
19,
5
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-readerbench/ro-offense #language-Romanian #license-apache-2.0 #hate-speech-detection #offensive... |
2dd02a1361975908c58d4664200b2cc64bb7bbd1 | # Dataset Card for "FTRACE-Synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rasgaard/FTRACE-Synth | [
"region:us"
] | 2023-02-20T14:26:55+00:00 | {"dataset_info": {"features": [{"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "uuid", "dtype": "string"}, {"name": "proponents", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 21802634, "num_examples": 10000}, {"name": "train", "num_by... | 2023-02-20T14:32:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FTRACE-Synth"
More Information needed | [
"# Dataset Card for \"FTRACE-Synth\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"FTRACE-Synth\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"FTRACE-Synth\"\n\nMore Information needed"
] |
95e55fbcc26e04e15f79ce37b7c68da621fa0a29 | # Dataset Card for "processed_oscar_bert_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 5w4n/processed_oscar_bert_dataset | [
"region:us"
] | 2023-02-20T15:20:30+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 250351200.0, "num_examples": 69542}], "download_size"... | 2023-02-20T15:28:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_oscar_bert_dataset"
More Information needed | [
"# Dataset Card for \"processed_oscar_bert_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"processed_oscar_bert_dataset\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"processed_oscar_bert_dataset\"\n\nMore Information needed"
] |
d32d3c68ee346a3f342614546bd6f0f29ea3bb1a | # Dataset Card for "pubmed-summarization-sample2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LeaBresson/pubmed-summarization-sample2 | [
"region:us"
] | 2023-02-20T15:24:30+00:00 | {"dataset_info": {"features": [{"name": "article", "dtype": "string"}, {"name": "abstract", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 56479394.15796671, "num_examples": 3000}], "download_size": 26417003, "dataset_size": 56479394.15796671}} | 2023-02-20T15:24:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pubmed-summarization-sample2"
More Information needed | [
"# Dataset Card for \"pubmed-summarization-sample2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pubmed-summarization-sample2\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pubmed-summarization-sample2\"\n\nMore Information needed"
] |
82e8eabcfec8ed72ec1a0deb637a68f769940ec4 | This dataset contains 67 images around kent that have text on the signs. They have varying levels of being cropped. | Tom-nerd/English-signs-with-text | [
"size_categories:n<1K",
"language:en",
"license:mit",
"region:us"
] | 2023-02-20T17:33:46+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"]} | 2023-02-20T17:38:10+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-mit #region-us
| This dataset contains 67 images around kent that have text on the signs. They have varying levels of being cropped. | [] | [
"TAGS\n#size_categories-n<1K #language-English #license-mit #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-n<1K #language-English #license-mit #region-us \n"
] |
a8f4bb35a3566430ae26ef40ff9a2606af44cd98 |
641 4032*3024 images in a garden of a stone buddha in jpg format. | Tom-nerd/Images-of-stone-buddha | [
"size_categories:n<1K",
"language:en",
"license:mit",
"region:us"
] | 2023-02-20T17:45:38+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"]} | 2023-02-20T18:17:37+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-mit #region-us
|
641 4032*3024 images in a garden of a stone buddha in jpg format. | [] | [
"TAGS\n#size_categories-n<1K #language-English #license-mit #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-n<1K #language-English #license-mit #region-us \n"
] |
c295f30d9dba467d0059ac918ea86a92db97fc3e | # Dataset Card for "kaggle-kernels-metadata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cakiki/kaggle-kernels-metadata | [
"region:us"
] | 2023-02-20T20:10:09+00:00 | {"dataset_info": {"features": [{"name": "Id", "dtype": "int64"}, {"name": "download_link", "dtype": "string"}, {"name": "AuthorUserId", "dtype": "int64"}, {"name": "CurrentKernelVersionId", "dtype": "int64"}, {"name": "ForkParentKernelVersionId", "dtype": "int64"}, {"name": "ForumTopicId", "dtype": "int64"}, {"name": "... | 2023-02-21T11:47:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "kaggle-kernels-metadata"
More Information needed | [
"# Dataset Card for \"kaggle-kernels-metadata\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"kaggle-kernels-metadata\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"kaggle-kernels-metadata\"\n\nMore Information needed"
] |
261619b31399bf93742de03243472fb634c0f753 | - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to Breast Cancer
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation
| Gaborandi/breast_cancer_pubmed_abstracts | [
"region:us"
] | 2023-02-20T20:53:57+00:00 | {} | 2023-02-21T23:07:39+00:00 | [] | [] | TAGS
#region-us
| - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to Breast Cancer
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
10aaa75fc572651bb5b2b59c530f64f5ff8cf225 | ### Dataset Card for SNLI Back Translation
back translation of SNLI dataset: only use the test version
| sagnikrayc/snli-bt | [
"license:afl-3.0",
"region:us"
] | 2023-02-20T23:03:02+00:00 | {"license": "afl-3.0"} | 2023-02-20T23:11:17+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| ### Dataset Card for SNLI Back Translation
back translation of SNLI dataset: only use the test version
| [
"### Dataset Card for SNLI Back Translation\nback translation of SNLI dataset: only use the test version"
] | [
"TAGS\n#license-afl-3.0 #region-us \n",
"### Dataset Card for SNLI Back Translation\nback translation of SNLI dataset: only use the test version"
] | [
14,
23
] | [
"passage: TAGS\n#license-afl-3.0 #region-us \n### Dataset Card for SNLI Back Translation\nback translation of SNLI dataset: only use the test version"
] |
1c686e6d2d8b67da5d9aab2068361f3f479a8b33 | # flan-t5-onnx
This is an ONNX export of the [Google FLAN T5](https://huggingface.co/google/flan-t5-base) models. It includes every size except xxl.
The export script is included at `./exportt5.py`.
---
## license: apache-2.0
| bakks/flan-t5-onnx | [
"region:us"
] | 2023-02-21T00:41:57+00:00 | {} | 2023-02-22T18:40:21+00:00 | [] | [] | TAGS
#region-us
| # flan-t5-onnx
This is an ONNX export of the Google FLAN T5 models. It includes every size except xxl.
The export script is included at './URL'.
---
## license: apache-2.0
| [
"# flan-t5-onnx\n\nThis is an ONNX export of the Google FLAN T5 models. It includes every size except xxl.\n\nThe export script is included at './URL'.\n\n---",
"## license: apache-2.0"
] | [
"TAGS\n#region-us \n",
"# flan-t5-onnx\n\nThis is an ONNX export of the Google FLAN T5 models. It includes every size except xxl.\n\nThe export script is included at './URL'.\n\n---",
"## license: apache-2.0"
] | [
6,
45,
7
] | [
"passage: TAGS\n#region-us \n# flan-t5-onnx\n\nThis is an ONNX export of the Google FLAN T5 models. It includes every size except xxl.\n\nThe export script is included at './URL'.\n\n---## license: apache-2.0"
] |
0bf796fc9b8952aaca40b9ca6d18b284fba253e4 |
Molecules in this set
* have a molecular weight of fewer than 1500 Daltons,
* not possess counter ions,
* only contain the elements C, H, O, N, P, S, F, Cl, Br, I, Se and B,
* not contain isotopes of Hydrogens (D, T),
* have 3–40 bonds,
* not contain any charged groups including zwitterionic forms,
* only contain imp... | navanchauhan/decimer-data-mini | [
"task_categories:image-to-text",
"size_categories:10K<n<100K",
"license:openrail",
"region:us"
] | 2023-02-21T01:12:25+00:00 | {"license": "openrail", "size_categories": ["10K<n<100K"], "task_categories": ["image-to-text"], "pretty_name": "PubChem 68K", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "smiles", "dtype": "string"}, {"name": "selfies", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1185... | 2023-02-21T07:06:36+00:00 | [] | [] | TAGS
#task_categories-image-to-text #size_categories-10K<n<100K #license-openrail #region-us
|
Molecules in this set
* have a molecular weight of fewer than 1500 Daltons,
* not possess counter ions,
* only contain the elements C, H, O, N, P, S, F, Cl, Br, I, Se and B,
* not contain isotopes of Hydrogens (D, T),
* have 3–40 bonds,
* not contain any charged groups including zwitterionic forms,
* only contain imp... | [
"## Reference\n\n> Rajan, Kohulan; Zielesny, Achim; Steinbeck, Christoph (2021): DECIMER 1.0: Deep Learning for Chemical Image Recognition using Transformers. ChemRxiv. Preprint. URL"
] | [
"TAGS\n#task_categories-image-to-text #size_categories-10K<n<100K #license-openrail #region-us \n",
"## Reference\n\n> Rajan, Kohulan; Zielesny, Achim; Steinbeck, Christoph (2021): DECIMER 1.0: Deep Learning for Chemical Image Recognition using Transformers. ChemRxiv. Preprint. URL"
] | [
36,
52
] | [
"passage: TAGS\n#task_categories-image-to-text #size_categories-10K<n<100K #license-openrail #region-us \n## Reference\n\n> Rajan, Kohulan; Zielesny, Achim; Steinbeck, Christoph (2021): DECIMER 1.0: Deep Learning for Chemical Image Recognition using Transformers. ChemRxiv. Preprint. URL"
] |
3d11872f00818e2b30d3dc4a26d9d44119e45701 | - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to Alzheimer's Disease
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | Gaborandi/Alzheimer_pubmed_abstracts | [
"region:us"
] | 2023-02-21T01:34:10+00:00 | {} | 2023-02-21T23:16:19+00:00 | [] | [] | TAGS
#region-us
| - This Dataset has been downloaded from PubMed
- It has abstracts and titles that are related to Alzheimer's Disease
- the data has been cleaned before uploading
- it could be used for any NLP task, such as Domain Adaptation | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
34dd93726fbdb0f57ee4114a0970578277754a64 | # Dataset Card for "VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_1000 | [
"region:us"
] | 2023-02-21T01:58:33+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "true_label", "sequence": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "nu... | 2023-02-21T01:58:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_1000"
More Information needed | [
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_1000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_1000\"\n\nMore Information needed"
] | [
6,
47
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_1000\"\n\nMore Information needed"
] |
794607c13ee73175e7cd0954de327dd5d301ac8b | # Dataset Card for "products-second-checkpoint"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | matterr/products-10k-test | [
"region:us"
] | 2023-02-21T02:16:06+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1997550994.326, "num_examples": 10001}], "download_size": 2344525315, "dataset_size": 1997550994.326}} | 2023-02-21T02:17:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "products-second-checkpoint"
More Information needed | [
"# Dataset Card for \"products-second-checkpoint\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"products-second-checkpoint\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"products-second-checkpoint\"\n\nMore Information needed"
] |
268cfaa48d1018a2b161c626a04566e031e6e958 | This is a more than 1 million word token dataset consist of Historical black writers who wrote about black emancipation. Include in this datasets are
Collected Articles of Frederick Douglass(8000 word tokens),THREE ADDRESSES BY Fred Douglas(28K word token), Why is the Negro
Lynched?(15K word token) by FREDERICK DOUG... | armahlovis/BlackWriterOnFreedom | [
"license:mit",
"region:us"
] | 2023-02-21T03:22:21+00:00 | {"license": "mit"} | 2023-02-21T03:51:03+00:00 | [] | [] | TAGS
#license-mit #region-us
| This is a more than 1 million word token dataset consist of Historical black writers who wrote about black emancipation. Include in this datasets are
Collected Articles of Frederick Douglass(8000 word tokens),THREE ADDRESSES BY Fred Douglas(28K word token), Why is the Negro
Lynched?(15K word token) by FREDERICK DOUG... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
dbf712bcbe3ac703178df13b0a6c690fa597c6d7 | # Dataset Card for "rlhf-qa-comparisons"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kastan/rlhf-qa-comparisons | [
"region:us"
] | 2023-02-21T03:27:17+00:00 | {"dataset_info": {"features": [{"name": "Question", "dtype": "string"}, {"name": "Chosen", "dtype": "string"}, {"name": "Rejected", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 172575, "num_examples": 337}], "download_size": 58298, "dataset_size": 17257... | 2023-02-27T19:31:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rlhf-qa-comparisons"
More Information needed | [
"# Dataset Card for \"rlhf-qa-comparisons\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"rlhf-qa-comparisons\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"rlhf-qa-comparisons\"\n\nMore Information needed"
] |
b2ca1f2a2316a8fe9ce484af6a242ba75cedb8f8 | # Dataset Card for "common_voice_10_1_th_sentence"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DylanonWic/common_voice_10_1_th_sentence | [
"region:us"
] | 2023-02-21T04:13:57+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 959372, "num_examples": 9904}, {"name": "validation", "num_bytes": 948673, "num_examples": 9775}, {"name": "train", "num_bytes": 2424732, "num_examples": 28024}], "download_size": 2035494, "dataset_size": 43327... | 2023-02-21T04:14:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "common_voice_10_1_th_sentence"
More Information needed | [
"# Dataset Card for \"common_voice_10_1_th_sentence\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"common_voice_10_1_th_sentence\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"common_voice_10_1_th_sentence\"\n\nMore Information needed"
] |
6d39f59e84a1136b4b29e4d8570d91210e006924 | test text | Shelldid/1dataset | [
"license:openrail",
"region:us"
] | 2023-02-21T04:17:14+00:00 | {"license": "openrail"} | 2023-02-21T04:22:33+00:00 | [] | [] | TAGS
#license-openrail #region-us
| test text | [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-openrail #region-us \n"
] |
3e07c34559d4c6b4038345050467633db76175e3 | # Dataset Card for "enwiki20230101-pageid-minilml6v2embeddingsjson"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lsb/enwiki20230101-pageid-minilml6v2embeddingsjson | [
"region:us"
] | 2023-02-21T05:57:16+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "minilml6v2", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 185406292691, "num_examples": 57745806}], "download_size": 74786404654, "dataset_size": 185406292691}} | 2023-02-21T08:29:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "enwiki20230101-pageid-minilml6v2embeddingsjson"
More Information needed | [
"# Dataset Card for \"enwiki20230101-pageid-minilml6v2embeddingsjson\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"enwiki20230101-pageid-minilml6v2embeddingsjson\"\n\nMore Information needed"
] | [
6,
30
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"enwiki20230101-pageid-minilml6v2embeddingsjson\"\n\nMore Information needed"
] |
9856e855f5ddbaa1c49ea4b5501dcc22effdfa1e | This is the imdb dataset, https://huggingface.co/datasets/imdb
We've used a reward / sentiment model, https://huggingface.co/lvwerra/distilbert-imdb to compute the rewards of the offline data.
This is so that we can use offline RL on the data. | thejaminator/imdb_rewarded | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-02-21T06:07:47+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"]} | 2023-02-21T06:23:19+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #license-apache-2.0 #region-us
| This is the imdb dataset, URL
We've used a reward / sentiment model, URL to compute the rewards of the offline data.
This is so that we can use offline RL on the data. | [] | [
"TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #region-us \n"
] | [
29
] | [
"passage: TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #region-us \n"
] |
75f225898f016e8e8d0af54ff84bab3c1877e9bf |
Understanding the cellular architecture is a fundamental problem in various biological studies.
C. elegans is widely used as a model organism in these studies because of its unique fate determinations.
In recent years, researchers have worked extensively on C. elegans to excavate the regulations of genes and protei... | devoworm-group/EPIC-DATASET | [
"license:mit",
"region:us"
] | 2023-02-21T06:55:23+00:00 | {"license": "mit"} | 2023-02-24T17:55:26+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Understanding the cellular architecture is a fundamental problem in various biological studies.
C. elegans is widely used as a model organism in these studies because of its unique fate determinations.
In recent years, researchers have worked extensively on C. elegans to excavate the regulations of genes and protei... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
611dcd2fe24749690421b7e6f2b6d81241d86d5a | # Dataset Card for "context-dialogue-generate-ds-zh-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | svjack/context-dialogue-generate-ds-zh-v1 | [
"region:us"
] | 2023-02-21T07:28:37+00:00 | {"dataset_info": {"features": [{"name": "sent", "dtype": "string"}, {"name": "dialogue", "sequence": "string"}, {"name": "L_emb", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 74417088, "num_examples": 20000}], "download_size": 82191201, "dataset_size": 74417088}} | 2023-02-21T07:59:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "context-dialogue-generate-ds-zh-v1"
More Information needed | [
"# Dataset Card for \"context-dialogue-generate-ds-zh-v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"context-dialogue-generate-ds-zh-v1\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"context-dialogue-generate-ds-zh-v1\"\n\nMore Information needed"
] |
1cbbd51f62724fc8861e00bfc078d01157178363 | # Dataset Card for "nlp244_french_snli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Brendan/nlp244_french_snli | [
"region:us"
] | 2023-02-21T07:32:09+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}, {"name": "fr_premise", "dtype": "string"}, {"name": "fr_hypothesis", "dtype": "string"}], "... | 2023-02-21T07:32:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nlp244_french_snli"
More Information needed | [
"# Dataset Card for \"nlp244_french_snli\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nlp244_french_snli\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"nlp244_french_snli\"\n\nMore Information needed"
] |
f6458b7d0a1b861be328404cea9ec952a5063e2f | # Dataset Card for "generated_ar_en_th_datasets"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/generated_ar_en_th_datasets | [
"region:us"
] | 2023-02-21T07:58:14+00:00 | {"dataset_info": {"features": [{"name": "ar", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "th", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 168583, "num_examples": 584}, {"name": "validation", "num_bytes": 75552, "num_examples": 251}], "download_size": 106639, "dataset_size": 2441... | 2023-02-21T07:58:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "generated_ar_en_th_datasets"
More Information needed | [
"# Dataset Card for \"generated_ar_en_th_datasets\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"generated_ar_en_th_datasets\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"generated_ar_en_th_datasets\"\n\nMore Information needed"
] |
295b95fb4fe9be4ff3f933b73142d142cf6b2c97 | https://github.com/Yale-LILY/FOLIO
```
@article{han2022folio,
title={FOLIO: Natural Language Reasoning with First-Order Logic},
author = {Han, Simeng and Schoelkopf, Hailey and Zhao, Yilun and Qi, Zhenting and Riddell, Martin and Benson, Luke and Sun, Lucy and Zubova, Ekaterina and Qiao, Yujie and Burtell, Matthew ... | tasksource/folio | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"task_ids:multi-input-text-classification",
"language:en",
"license:cc",
"arxiv:2209.00840",
"region:us"
] | 2023-02-21T08:15:17+00:00 | {"language": ["en"], "license": "cc", "task_categories": ["text-classification"], "task_ids": ["natural-language-inference", "multi-input-text-classification"]} | 2024-01-18T08:34:47+00:00 | [
"2209.00840"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #language-English #license-cc #arxiv-2209.00840 #region-us
| URL
| [] | [
"TAGS\n#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #language-English #license-cc #arxiv-2209.00840 #region-us \n"
] | [
62
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #language-English #license-cc #arxiv-2209.00840 #region-us \n"
] |
71b580bef5684dc1669270f64e37e8f9ea826df2 |
# Dataset Card for Multipage Document Visual Question Answering (MP-DocVQA)
## Dataset Description
- **Homepage: [Robust Reading Competition Portal](https://rrc.cvc.uab.es/?ch=17&com=introduction)**
- **Repository: [Robust Reading Competition Portal](https://rrc.cvc.uab.es/?ch=17&com=downloads)**
- **Paper: [Hiera... | rubentito/mp-docvqa | [
"task_categories:question-answering",
"task_categories:document-question-answering",
"multilinguality:monolingual",
"source_datasets:Single Page Document Visual Question Answering",
"language:en",
"license:mit",
"arxiv:2212.05935",
"region:us"
] | 2023-02-21T08:36:46+00:00 | {"language": ["en"], "license": "mit", "multilinguality": ["monolingual"], "source_datasets": ["Single Page Document Visual Question Answering"], "task_categories": ["question-answering", "document-question-answering", "document-visual-question-answering"], "pretty_name": "MP-DocVQA (Multipage Document Visual Question ... | 2023-02-27T16:09:10+00:00 | [
"2212.05935"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-document-question-answering #multilinguality-monolingual #source_datasets-Single Page Document Visual Question Answering #language-English #license-mit #arxiv-2212.05935 #region-us
| Dataset Card for Multipage Document Visual Question Answering (MP-DocVQA)
=========================================================================
Dataset Description
-------------------
* Homepage: Robust Reading Competition Portal
* Repository: Robust Reading Competition Portal
* Paper: Hierarchical multimodal t... | [
"### Dataset Summary\n\n\nThe dataset is aimed to perform Visual Question Answering on multipage industry scanned documents. The questions and answers are reused from Single Page DocVQA (SP-DocVQA) dataset. The images also corresponds to the same in original dataset with previous and posterior pages with a limit of... | [
"TAGS\n#task_categories-question-answering #task_categories-document-question-answering #multilinguality-monolingual #source_datasets-Single Page Document Visual Question Answering #language-English #license-mit #arxiv-2212.05935 #region-us \n",
"### Dataset Summary\n\n\nThe dataset is aimed to perform Visual Que... | [
72,
79,
40,
24,
6,
5,
27
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-document-question-answering #multilinguality-monolingual #source_datasets-Single Page Document Visual Question Answering #language-English #license-mit #arxiv-2212.05935 #region-us \n### Dataset Summary\n\n\nThe dataset is aimed to perform Visual ... |
4e95e90e6eb902a76c5f545c748510ef90342a22 | # Dataset Card for "livedoor_news_corpus"
## Dataset Description
- **Homepage:** [ダウンロード - 株式会社ロンウイット](http://www.rondhuit.com/download.html#ldcc)
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** [RONDHUIT](mailto:sales@rondhuit.com)
### Dataset Summary
The livedoor News Corpus is a coll... | t0mmy/livedoor_news_corpus | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:ja",
"license:cc",
"region:us"
] | 2023-02-21T09:02:23+00:00 | {"language": ["ja"], "license": "cc", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "livedoor News Corpus"} | 2023-03-12T02:25:37+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-Japanese #license-cc #region-us
| Dataset Card for "livedoor\_news\_corpus"
=========================================
Dataset Description
-------------------
* Homepage: ダウンロード - 株式会社ロンウイット
* Repository:
* Paper:
* Leaderboard:
* Point of Contact: RONDHUIT
### Dataset Summary
The livedoor News Corpus is a collection of 7k human-written Japanese... | [
"### Dataset Summary\n\n\nThe livedoor News Corpus is a collection of 7k human-written Japanese news stories.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nThe language in the dataset is Japanese. The BCP-47 code for Japanese is ja.\n\n\nDataset Structure\n-----------------",
"### Data Instanc... | [
"TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-Japanese #license-cc #region-us \n",
"### Dataset Summary\n\n\nThe livedoor News Corpus is a collection of 7k human-written Japanese news stories.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nThe language in the d... | [
40,
25,
10,
30,
45,
152,
25,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
19,
27,
17
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-Japanese #license-cc #region-us \n### Dataset Summary\n\n\nThe livedoor News Corpus is a collection of 7k human-written Japanese news stories.### Supported Tasks and Leaderboards### Languages\n\n\nThe language in the dataset is... |
bcfe384adce83cfc45a64632b9fa045008bc3a87 | # Dataset Card for "tokenized_generated_ar_en_th_datasets"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/tokenized_generated_ar_en_th_datasets | [
"region:us"
] | 2023-02-21T10:02:25+00:00 | {"dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 1049412, "num_examples": 2336}, {"... | 2023-02-21T10:02:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tokenized_generated_ar_en_th_datasets"
More Information needed | [
"# Dataset Card for \"tokenized_generated_ar_en_th_datasets\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tokenized_generated_ar_en_th_datasets\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tokenized_generated_ar_en_th_datasets\"\n\nMore Information needed"
] |
169b7499e6674fb92878c33dda63b636275f4a89 | The images are originally from this [fine-tuned dreambooth model](https://huggingface.co/jefsnacker/azzy). And it's just for study purpose to create this dataset so it'll be handy to load these images for further experiment. | Vincent-luo/dreambooth-cat | [
"region:us"
] | 2023-02-21T12:20:23+00:00 | {} | 2023-02-21T12:35:44+00:00 | [] | [] | TAGS
#region-us
| The images are originally from this fine-tuned dreambooth model. And it's just for study purpose to create this dataset so it'll be handy to load these images for further experiment. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4d7b487875d143f61a1bcc9d233ac86cda744ebd | # Dataset Card for "instructpix2pix-demo"
Dataset was created using [this notebook](https://colab.research.google.com/gist/sayakpaul/f90aa06f8f89c831f798dd5b3939818b/scratchpad.ipynb).
Paper reference: [InstructPix2Pix: Learning to Follow Image Editing Instructions](https://arxiv.org/abs/2211.09800) | sayakpaul/instructpix2pix-demo | [
"arxiv:2211.09800",
"region:us"
] | 2023-02-21T12:21:29+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "edit", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 2456199.0, "num_examples": 5}], "download_size": 2460397, "dataset_size": 2456199.0}} | 2023-02-22T04:38:14+00:00 | [
"2211.09800"
] | [] | TAGS
#arxiv-2211.09800 #region-us
| # Dataset Card for "instructpix2pix-demo"
Dataset was created using this notebook.
Paper reference: InstructPix2Pix: Learning to Follow Image Editing Instructions | [
"# Dataset Card for \"instructpix2pix-demo\"\n\nDataset was created using this notebook. \n\nPaper reference: InstructPix2Pix: Learning to Follow Image Editing Instructions"
] | [
"TAGS\n#arxiv-2211.09800 #region-us \n",
"# Dataset Card for \"instructpix2pix-demo\"\n\nDataset was created using this notebook. \n\nPaper reference: InstructPix2Pix: Learning to Follow Image Editing Instructions"
] | [
15,
42
] | [
"passage: TAGS\n#arxiv-2211.09800 #region-us \n# Dataset Card for \"instructpix2pix-demo\"\n\nDataset was created using this notebook. \n\nPaper reference: InstructPix2Pix: Learning to Follow Image Editing Instructions"
] |
9d03c39aa7d4d39d823f87f64ecf78bd5ef05296 | # Dataset Card for "reklambox_filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fathyshalab/reklambox_filtered | [
"region:us"
] | 2023-02-21T12:23:10+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "label_name", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 480137, "num_examples": 416}, {"name": "... | 2023-02-21T12:23:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "reklambox_filtered"
More Information needed | [
"# Dataset Card for \"reklambox_filtered\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"reklambox_filtered\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"reklambox_filtered\"\n\nMore Information needed"
] |
7654851616cbc04835a916ccbb41e2e541f43ae0 |
An imitation learning environment for the atari_alien environment, sample for the policy atari_2B_atari_alien_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_alien_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T12:25:37+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T12:54:53+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_alien environment, sample for the policy atari_2B_atari_alien_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
77614f0769e497f3e135f7c247b65f91ae22f4b5 |
An imitation learning environment for the atari_amidar environment, sample for the policy atari_2B_atari_amidar_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_amidar_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:00:59+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:01:52+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_amidar environment, sample for the policy atari_2B_atari_amidar_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
6d2eb57daf067d206104c97fc0b056496a228917 | # Dataset Card for "reklambox-filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fathyshalab/reklambox-filtered | [
"region:us"
] | 2023-02-21T13:03:49+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "label_name", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}, {"name": "sentence_length", "dtype": "int64"}], "splits": [{"name": "test", "num_b... | 2023-02-21T13:04:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "reklambox-filtered"
More Information needed | [
"# Dataset Card for \"reklambox-filtered\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"reklambox-filtered\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"reklambox-filtered\"\n\nMore Information needed"
] |
986be229c59d478aaed1eb0b9f924598a5ab916c |
An imitation learning environment for the atari_assault environment, sample for the policy atari_2B_atari_assault_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_assault_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:07:08+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:08:02+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_assault environment, sample for the policy atari_2B_atari_assault_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
f1c14da633ba86d4c9403cdef0666c4f2b3d44ab |
An imitation learning environment for the atari_asterix environment, sample for the policy atari_2B_atari_asterix_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_asterix_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:13:37+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:15:48+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_asterix environment, sample for the policy atari_2B_atari_asterix_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
59c2f97fcb3413edad21b6566729253afabc6c40 |
An imitation learning environment for the atari_asteroid environment, sample for the policy atari_2B_atari_asteroid_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_asteroid_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:21:21+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:21:58+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_asteroid environment, sample for the policy atari_2B_atari_asteroid_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
8df556754b26a7101cd1d73d9887968f0a18a4a2 |
An imitation learning environment for the atari_atlantis environment, sample for the policy atari_2B_atari_atlantis_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_atlantis_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:27:47+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:28:40+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_atlantis environment, sample for the policy atari_2B_atari_atlantis_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
bc42c7fdab3dadf4d50929037a5caa6e8fc2aa0c |
An imitation learning environment for the atari_bankheist environment, sample for the policy atari_2B_atari_bankheist_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_bankheist_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:34:24+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:35:25+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_bankheist environment, sample for the policy atari_2B_atari_bankheist_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
84a5366559b4ae34ae316d87596a38227c6b9471 |
An imitation learning environment for the atari_battlezone environment, sample for the policy atari_2B_atari_battlezone_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_battlezone_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:41:31+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:42:24+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_battlezone environment, sample for the policy atari_2B_atari_battlezone_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
06741b0271089f7609058d8ca7fcf33e909f7700 |
An imitation learning environment for the atari_beamrider environment, sample for the policy atari_2B_atari_beamrider_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_beamrider_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:48:15+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:48:52+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_beamrider environment, sample for the policy atari_2B_atari_beamrider_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
81d1e48410a332b774dd530a513f42219349bee5 |
An imitation learning environment for the atari_berzerk environment, sample for the policy atari_2B_atari_berzerk_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_berzerk_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T13:54:19+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T13:54:56+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_berzerk environment, sample for the policy atari_2B_atari_berzerk_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
7fdde2afb71dc7d21f683b7ec5d4b8208b9934e9 |
An imitation learning environment for the atari_bowling environment, sample for the policy atari_2B_atari_bowling_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_bowling_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:00:15+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:01:08+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_bowling environment, sample for the policy atari_2B_atari_bowling_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
b0aa6fdf6f7d1ce6c6872de977486721aae32898 |
An imitation learning environment for the atari_boxing environment, sample for the policy atari_2B_atari_boxing_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_boxing_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:07:48+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:08:41+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_boxing environment, sample for the policy atari_2B_atari_boxing_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
68cdd4d8b1f19b25c8dc959f8bb64a984def77c3 |
An imitation learning environment for the atari_breakout environment, sample for the policy atari_2B_atari_breakout_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_breakout_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:14:23+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:15:00+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_breakout environment, sample for the policy atari_2B_atari_breakout_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
d9d4896deb2d833bebe98b04865da24f8d4c6b36 |
An imitation learning environment for the atari_centipede environment, sample for the policy atari_2B_atari_centipede_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_centipede_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:21:02+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:22:16+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_centipede environment, sample for the policy atari_2B_atari_centipede_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
e8d06fd1e9734e67f3008ebd567d1939b4fbff32 |
# Dataset Card for mini_raw_diachronic_swe
The Swedish Diachronic Corpus is a project funded by [Swe-Clarin](https://sweclarin.se/eng) and provides a corpus of texts covering the time period from Old Swedish.
### Data Splits
**This will be further extended!**
* Number of instances in split: 4760470
## Acknowledgeme... | Riksarkivet/mini_raw_diachronic_swe | [
"size_categories:1M<n<10M",
"language:sv",
"license:mit",
"historical",
"WIP",
"region:us"
] | 2023-02-21T14:21:36+00:00 | {"language": ["sv"], "license": "mit", "size_categories": ["1M<n<10M"], "pretty_name": "Kbuhist2", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 796312222, "num_examples": 4760470}], "download_size": 475243460}, "tags": ["historical", "WIP"]} | 2023-03-13T11:39:53+00:00 | [] | [
"sv"
] | TAGS
#size_categories-1M<n<10M #language-Swedish #license-mit #historical #WIP #region-us
|
# Dataset Card for mini_raw_diachronic_swe
The Swedish Diachronic Corpus is a project funded by Swe-Clarin and provides a corpus of texts covering the time period from Old Swedish.
### Data Splits
This will be further extended!
* Number of instances in split: 4760470
## Acknowledgements
We gratefully acknowledge SW... | [
"# Dataset Card for mini_raw_diachronic_swe\nThe Swedish Diachronic Corpus is a project funded by Swe-Clarin and provides a corpus of texts covering the time period from Old Swedish.",
"### Data Splits\nThis will be further extended!\n\n* Number of instances in split: 4760470",
"## Acknowledgements\nWe grateful... | [
"TAGS\n#size_categories-1M<n<10M #language-Swedish #license-mit #historical #WIP #region-us \n",
"# Dataset Card for mini_raw_diachronic_swe\nThe Swedish Diachronic Corpus is a project funded by Swe-Clarin and provides a corpus of texts covering the time period from Old Swedish.",
"### Data Splits\nThis will be... | [
35,
48,
23,
69
] | [
"passage: TAGS\n#size_categories-1M<n<10M #language-Swedish #license-mit #historical #WIP #region-us \n# Dataset Card for mini_raw_diachronic_swe\nThe Swedish Diachronic Corpus is a project funded by Swe-Clarin and provides a corpus of texts covering the time period from Old Swedish.### Data Splits\nThis will be fu... |
26b03c0151e69c4b555361ec5df29ceee0bb6bc6 | # AutoTrain Dataset for project: chessbig
## Dataset Description
This dataset has been automatically processed by AutoTrain for project chessbig.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | lebi376/chess_3000_moves | [
"task_categories:translation",
"region:us"
] | 2023-02-21T14:26:47+00:00 | {"task_categories": ["translation"]} | 2023-02-21T14:27:40+00:00 | [] | [] | TAGS
#task_categories-translation #region-us
| AutoTrain Dataset for project: chessbig
=======================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project chessbig.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Da... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-translation #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also cal... | [
15,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-translation #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also called \"fea... |
bab291f167ecb6bfb0eb1c97f05274ef31a91185 |
An imitation learning environment for the atari_choppercommand environment, sample for the policy atari_2B_atari_choppercommand_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_choppercommand_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:28:31+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:30:09+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_choppercommand environment, sample for the policy atari_2B_atari_choppercommand_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
47fb075adaef1e8c01a41156b573bf8cffe62e1c |
An imitation learning environment for the atari_crazyclimber environment, sample for the policy atari_2B_atari_crazyclimber_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_crazyclimber_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:35:37+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:36:17+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_crazyclimber environment, sample for the policy atari_2B_atari_crazyclimber_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
5801d413c8a8c50a46f1f899ce44c9842e9cb56a |
An imitation learning environment for the atari_defender environment, sample for the policy atari_2B_atari_defender_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_defender_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:41:48+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:42:45+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_defender environment, sample for the policy atari_2B_atari_defender_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
b848678d439a537f97aca2864eb198859382a493 |
An imitation learning environment for the atari_demonattack environment, sample for the policy atari_2B_atari_demonattack_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_demonattack_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:48:57+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:49:52+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_demonattack environment, sample for the policy atari_2B_atari_demonattack_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
02491fbc74e3340cdd06b9cdbc849c32c9719276 |
An imitation learning environment for the atari_doubledunk environment, sample for the policy atari_2B_atari_doubledunk_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_doubledunk_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T14:56:39+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T14:57:21+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_doubledunk environment, sample for the policy atari_2B_atari_doubledunk_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
873e34b3b69a44e17a26c041ea3677bc183210b8 |
An imitation learning environment for the atari_enduro environment, sample for the policy atari_2B_atari_enduro_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_enduro_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:03:44+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:04:31+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_enduro environment, sample for the policy atari_2B_atari_enduro_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
e203261b5176546d4ebf66eeaf41fb6d586d3e75 |
An imitation learning environment for the atari_fishingderby environment, sample for the policy atari_2B_atari_fishingderby_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_fishingderby_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:11:12+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:12:05+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_fishingderby environment, sample for the policy atari_2B_atari_fishingderby_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
fda2bcb463a7d7388e8a3d8b7ac3589652d31591 |
An imitation learning environment for the atari_freeway environment, sample for the policy atari_2B_atari_freeway_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_freeway_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:18:53+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:20:12+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_freeway environment, sample for the policy atari_2B_atari_freeway_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
b9c046b2bb0b97ee11c86b9647f89c15f183c64f |
An imitation learning environment for the atari_frostbite environment, sample for the policy atari_2B_atari_frostbite_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_frostbite_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:26:26+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:27:18+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_frostbite environment, sample for the policy atari_2B_atari_frostbite_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
d2cb6068cb0ca6864621ae61d5508d11c6757cb0 |
An imitation learning environment for the atari_gopher environment, sample for the policy atari_2B_atari_gopher_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_gopher_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:32:46+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:33:46+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_gopher environment, sample for the policy atari_2B_atari_gopher_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
bbf9e1317a1558c8af39e315301a74f1ed3e6349 |
An imitation learning environment for the atari_gravitar environment, sample for the policy atari_2B_atari_gravitar_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_gravitar_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:40:13+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:41:08+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_gravitar environment, sample for the policy atari_2B_atari_gravitar_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
95ab9a687849050caf6094336c84c3b4cdbf4e49 |
An imitation learning environment for the atari_hero environment, sample for the policy atari_2B_atari_hero_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_hero_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:47:57+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:48:43+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_hero environment, sample for the policy atari_2B_atari_hero_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
8f435ec3d8d968a2a9a5e606800aa127d624d672 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:** https://www.inf.pucrs.br/linatural/wordpress/recursos-e-ferramentas/blogset-br/
- **Leaderboard:** Grupo de Processamento da Linguagem Natural da PUC-RS
- **Point of Contact:** Site oficial
### Dataset Summary
Este Dataset foi criado a partir ... | thegoodfellas/blogset-br | [
"size_categories:1M<n<10M",
"language:pt",
"license:apache-2.0",
"region:us"
] | 2023-02-21T15:50:05+00:00 | {"language": ["pt"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "pretty_name": "Blogset BR"} | 2023-02-21T21:53:47+00:00 | [] | [
"pt"
] | TAGS
#size_categories-1M<n<10M #language-Portuguese #license-apache-2.0 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage: URL
- Leaderboard: Grupo de Processamento da Linguagem Natural da PUC-RS
- Point of Contact: Site oficial
### Dataset Summary
Este Dataset foi criado a partir dos dados disponibilizados pelo Grupo de Processamento de Linguagem Natural da PUC-RS. O... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: URL \n- Leaderboard: Grupo de Processamento da Linguagem Natural da PUC-RS\n- Point of Contact: Site oficial",
"### Dataset Summary\n\nEste Dataset foi criado a partir dos dados disponibilizados pelo Grupo de Processamento de Linguagem Na... | [
"TAGS\n#size_categories-1M<n<10M #language-Portuguese #license-apache-2.0 #region-us \n",
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Homepage: URL \n- Leaderboard: Grupo de Processamento da Linguagem Natural da PUC-RS\n- Point of Contact: Site oficial",
"### Dataset Summary\n\nEste Datase... | [
32,
8,
32,
41,
19,
7,
25,
10,
31,
83
] | [
"passage: TAGS\n#size_categories-1M<n<10M #language-Portuguese #license-apache-2.0 #region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage: URL \n- Leaderboard: Grupo de Processamento da Linguagem Natural da PUC-RS\n- Point of Contact: Site oficial### Dataset Summary\n\nEste Dataset foi cri... |
910b430979efa6990b6a2346f9bf0c8a75241792 |
An imitation learning environment for the atari_icehockey environment, sample for the policy atari_2B_atari_icehockey_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_icehockey_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T15:54:51+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T15:55:27+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_icehockey environment, sample for the policy atari_2B_atari_icehockey_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
fd67f1921093ed31b2d823e191e78875232a6c43 |
An imitation learning environment for the atari_jamesbond environment, sample for the policy atari_2B_atari_jamesbond_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_jamesbond_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:01:19+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:02:42+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_jamesbond environment, sample for the policy atari_2B_atari_jamesbond_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
b3dba1ae680fce5482413bf911dba26b679f7a0e |
An imitation learning environment for the atari_kangaroo environment, sample for the policy atari_2B_atari_kangaroo_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_kangaroo_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:09:09+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:10:11+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_kangaroo environment, sample for the policy atari_2B_atari_kangaroo_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
1748e48bf30a5ad16c45ab3c60213d3e0bf15a4e |
An imitation learning environment for the atari_krull environment, sample for the policy atari_2B_atari_krull_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_krull_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:16:44+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:17:56+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_krull environment, sample for the policy atari_2B_atari_krull_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
14c70843bab946e6fe9d3433c719aab080454880 |
About Dataset
This dataset is taken from https://www.kaggle.com/datasets/bolattleubayev/nursultan-nazarbayev-speech-dataset
The dataset consists of manually labelled 9341 wav files (around 14.8 hours) taken from speeches of The First President of the Republic of Kazakhstan Nursultan Nazarbayev published online. 7919 f... | Shirali/N_Nazarbayev_Speech_corpus | [
"license:cc0-1.0",
"region:us"
] | 2023-02-21T16:23:03+00:00 | {"license": "cc0-1.0"} | 2023-02-22T17:33:57+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
About Dataset
This dataset is taken from URL
The dataset consists of manually labelled 9341 wav files (around 14.8 hours) taken from speeches of The First President of the Republic of Kazakhstan Nursultan Nazarbayev published online. 7919 files (12.1 hours) are in Russian and 1422 files (2.7 hours) in Kazakh. Minimum ... | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
62a6615f1955648f927541ac3570029619dd48cd |
An imitation learning environment for the atari_kongfumaster environment, sample for the policy atari_2B_atari_kongfumaster_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_kongfumaster_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:24:17+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:25:14+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_kongfumaster environment, sample for the policy atari_2B_atari_kongfumaster_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
0edc9437459f81e54118765e7d826d714f546123 |
An imitation learning environment for the atari_montezuma environment, sample for the policy atari_2B_atari_montezuma_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_montezuma_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:31:42+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:32:32+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_montezuma environment, sample for the policy atari_2B_atari_montezuma_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
a9e01ca7953a654a8559e139ab01bc4991b8eb62 |
An imitation learning environment for the atari_mspacman environment, sample for the policy atari_2B_atari_mspacman_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_mspacman_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:38:31+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:39:30+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_mspacman environment, sample for the policy atari_2B_atari_mspacman_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
8756ca81f6c2aada2e7a6176795f58fd0efe17af |
An imitation learning environment for the atari_namethisgame environment, sample for the policy atari_2B_atari_namethisgame_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_namethisgame_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:45:28+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:46:14+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_namethisgame environment, sample for the policy atari_2B_atari_namethisgame_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
00351445810c2c701b1f2a280d0a34bbf5fa89a9 |
An imitation learning environment for the atari_phoenix environment, sample for the policy atari_2B_atari_phoenix_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_phoenix_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T16:51:48+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T16:54:05+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_phoenix environment, sample for the policy atari_2B_atari_phoenix_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
dd9595d00ba533605177c5d62b2f4622750d6646 | # Dataset Card for "smithsonian_butterflies_subset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hotfinda/smithsonian_butterflies_subset | [
"region:us"
] | 2023-02-21T16:58:41+00:00 | {"dataset_info": {"features": [{"name": "image_url", "dtype": "string"}, {"name": "image_alt", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "scientific_name", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "taxonomy", "dtype": "string"}, {"nam... | 2023-02-21T16:59:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "smithsonian_butterflies_subset"
More Information needed | [
"# Dataset Card for \"smithsonian_butterflies_subset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"smithsonian_butterflies_subset\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"smithsonian_butterflies_subset\"\n\nMore Information needed"
] |
974219a4e44ae5ecdba6e3ae42dba27eca911a26 |
An imitation learning environment for the atari_pitfall environment, sample for the policy atari_2B_atari_pitfall_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_pitfall_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:00:10+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:00:54+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_pitfall environment, sample for the policy atari_2B_atari_pitfall_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
bb9a1dda6ffd86b32384b7de5b77f3b3b45283e0 |
An imitation learning environment for the atari_privateye environment, sample for the policy atari_2B_atari_privateye_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_privateye_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:14:08+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:15:03+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_privateye environment, sample for the policy atari_2B_atari_privateye_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
680cf894d52eb65dfd9a1405dcf0ebfcef9b1656 |
An imitation learning environment for the atari_qbert environment, sample for the policy atari_2B_atari_qbert_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_qbert_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:21:02+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:21:39+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_qbert environment, sample for the policy atari_2B_atari_qbert_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
768b0061fd2949b96d6a941a865137a5afea2e71 |
An imitation learning environment for the atari_riverraid environment, sample for the policy atari_2B_atari_riverraid_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_riverraid_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:28:21+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:29:14+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_riverraid environment, sample for the policy atari_2B_atari_riverraid_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
1aeb7b2090f442881daa6ce67c688419742c3c12 |
An imitation learning environment for the atari_roadrunner environment, sample for the policy atari_2B_atari_roadrunner_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_roadrunner_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:35:34+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:36:10+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_roadrunner environment, sample for the policy atari_2B_atari_roadrunner_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
9259a62218165a4c4c971de8a0e2a0a9a8cf8f17 |
An imitation learning environment for the atari_robotank environment, sample for the policy atari_2B_atari_robotank_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_robotank_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:42:55+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:43:49+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_robotank environment, sample for the policy atari_2B_atari_robotank_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
536155fd0d2282076a369d27374c74bd68f84f6e |
An imitation learning environment for the atari_seaquest environment, sample for the policy atari_2B_atari_seaquest_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_seaquest_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:49:45+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:50:23+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_seaquest environment, sample for the policy atari_2B_atari_seaquest_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
c800301a1388ccfde9409838f45f2cfe06024548 |
An imitation learning environment for the atari_skiing environment, sample for the policy atari_2B_atari_skiing_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_skiing_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T17:56:35+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:57:29+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_skiing environment, sample for the policy atari_2B_atari_skiing_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
6ccc62e107cadb979bb799bdfc99d305147d7bf1 |
An imitation learning environment for the atari_solaris environment, sample for the policy atari_2B_atari_solaris_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_solaris_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T18:04:03+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T18:05:14+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_solaris environment, sample for the policy atari_2B_atari_solaris_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
25600e8556dcdc22c32f221ec4394d219fad9466 |
An imitation learning environment for the atari_spaceinvaders environment, sample for the policy atari_2B_atari_spaceinvaders_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
| edbeeching/prj_gia_dataset_atari_2B_atari_spaceinvaders_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-21T18:10:43+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T18:11:49+00:00 | [] | [] | TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us
|
An imitation learning environment for the atari_spaceinvaders environment, sample for the policy atari_2B_atari_spaceinvaders_1111
This environment was created as part of the Generally Intelligent Agents project gia: URL
| [] | [
"TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] | [
46
] | [
"passage: TAGS\n#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us \n"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.