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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8b6f8f0a92044af89b17ac29fbcfe509c64d8e45 | # Dataset Card for "VQAv2_sample_validation_facebook_opt_2.7b_VQAv2_visclues_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_VQAv2_visclues_ns_1000 | [
"region:us"
] | 2023-02-15T04:19:26+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... | 2023-02-15T04:19:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_sample_validation_facebook_opt_2.7b_VQAv2_visclues_ns_1000"
More Information needed | [
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_2.7b_VQAv2_visclues_ns_1000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_2.7b_VQAv2_visclues_ns_1000\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_sample_validation_facebook_opt_2.7b_VQAv2_visclues_ns_1000\"\n\nMore Information needed"
] |
fea8e4d61fb7d9d253d0fc8a9f1a93719285ade8 |
# Misc Datasets
Here i will upload datasets (images + captions) of concepts/styles/characters for anyone to use on their models, as i am not able to do LoRA's myself, alongside other datasets i've used for other models.</br>
Some are handcropped and/or handpicked, some not. If it's a big dataset it's probably automati... | cosc/misc-datasets | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"art",
"dataset",
"concept",
"character",
"style",
"dreambooth",
"lora",
"textual inversion",
"region:us"
] | 2023-02-15T05:38:11+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "pipeline_tag": "text-to-image", "tags": ["stable-diffusion", "art", "dataset", "concept", "character", "style", "dreambooth", "lora", "textual inversion"]} | 2023-03-14T02:57:49+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #art #dataset #concept #character #style #dreambooth #lora #textual inversion #region-us
|
# Misc Datasets
Here i will upload datasets (images + captions) of concepts/styles/characters for anyone to use on their models, as i am not able to do LoRA's myself, alongside other datasets i've used for other models.</br>
Some are handcropped and/or handpicked, some not. If it's a big dataset it's probably automati... | [
"# Misc Datasets\nHere i will upload datasets (images + captions) of concepts/styles/characters for anyone to use on their models, as i am not able to do LoRA's myself, alongside other datasets i've used for other models.</br>\nSome are handcropped and/or handpicked, some not. If it's a big dataset it's probably au... | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #art #dataset #concept #character #style #dreambooth #lora #textual inversion #region-us \n",
"# Misc Datasets\nHere i will upload datasets (images + captions) of concepts/styles/characters for anyone to use on their models, as i am not abl... | [
55,
423
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #art #dataset #concept #character #style #dreambooth #lora #textual inversion #region-us \n# Misc Datasets\nHere i will upload datasets (images + captions) of concepts/styles/characters for anyone to use on their models, as i am not ... |
cabb3f889c7812202a8f4807a4016f7ba3ecfab7 | # Dataset Card for "VQAv2_sample_validation_facebook_opt_6.7b_VQAv2_visclues_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_VQAv2_visclues_ns_1000 | [
"region:us"
] | 2023-02-15T06:05:09+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... | 2023-02-15T06:05:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_sample_validation_facebook_opt_6.7b_VQAv2_visclues_ns_1000"
More Information needed | [
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_6.7b_VQAv2_visclues_ns_1000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_sample_validation_facebook_opt_6.7b_VQAv2_visclues_ns_1000\"\n\nMore Information needed"
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42
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"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_sample_validation_facebook_opt_6.7b_VQAv2_visclues_ns_1000\"\n\nMore Information needed"
] |
edc4edb5bded6de6c469fc518ce3cc35d2a9d1bc | # Dataset Card for "VALUE_wikitext103_got"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_got | [
"region:us"
] | 2023-02-15T06:27:19+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 99055, "num_examples": 123}, {"name": "train", "num_bytes": 44057216, "num_examples": 53727}, {"name": "validation", "num_bytes": 77641, "num_examples": 91}], "download_... | 2023-02-15T06:27:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_got"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_got\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wikitext103_got\"\n\nMore Information needed"
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7d6f4c3b0af9c9c55e99914691a2002da4b0d4dd | # Dataset Card for "VALUE_wikitext103_negative_inversion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_negative_inversion | [
"region:us"
] | 2023-02-15T06:30:47+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 647, "num_examples": 1}, {"name": "train", "num_bytes": 1026, "num_examples": 1}, {"name": "validation", "num_bytes": 631, "num_examples": 1}], "download_size": 18138, "... | 2023-02-15T06:30:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_negative_inversion"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_negative_inversion\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wikitext103_negative_inversion\"\n\nMore Information needed"
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d75bb029e05380ece15280d09668add7c493848e | # Dataset Card for "VALUE_wikitext103_negative_concord"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_negative_concord | [
"region:us"
] | 2023-02-15T06:32:03+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 168320, "num_examples": 185}, {"name": "train", "num_bytes": 76726939, "num_examples": 83977}, {"name": "validation", "num_bytes": 151295, "num_examples": 173}], "downlo... | 2023-02-15T06:32:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_negative_concord"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_negative_concord\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wikitext103_negative_concord\"\n\nMore Information needed"
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0fb05489dbc22df7f7c5e1658024b99081645e40 | # Dataset Card for "patched_test_p_20_m1_predictions_v3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_test_p_20_m1_predictions_v3 | [
"region:us"
] | 2023-02-15T06:42:26+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 1534784568, "num_examples": 2775054}], "download_size": 135840078, "dataset_size": 1534... | 2023-02-15T06:42:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_test_p_20_m1_predictions_v3"
More Information needed | [
"# Dataset Card for \"patched_test_p_20_m1_predictions_v3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"patched_test_p_20_m1_predictions_v3\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"patched_test_p_20_m1_predictions_v3\"\n\nMore Information needed"
] |
7739c1b59de9e7d167cbc36d812ad0e2236de6da | # Dataset Card for "VALUE_wikitext103_drop_aux"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_drop_aux | [
"region:us"
] | 2023-02-15T06:53:16+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 292533, "num_examples": 396}, {"name": "train", "num_bytes": 131089043, "num_examples": 174077}, {"name": "validation", "num_bytes": 232418, "num_examples": 340}], "down... | 2023-02-15T06:53:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_drop_aux"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_drop_aux\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wikitext103_drop_aux\"\n\nMore Information needed"
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fa5094290caf692b28f495eba8916a4641988e07 | # Dataset Card for "VALUE_wikitext103_dey_it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_dey_it | [
"region:us"
] | 2023-02-15T07:06:29+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 121288, "num_examples": 141}, {"name": "train", "num_bytes": 50962893, "num_examples": 58184}, {"name": "validation", "num_bytes": 101616, "num_examples": 126}], "downlo... | 2023-02-15T07:06:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_dey_it"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_dey_it\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wikitext103_dey_it\"\n\nMore Information needed"
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6,
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47c100c11102b3f059f35adafcee173a477168e2 | # Dataset Card for "VALUE_wikitext103_null_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_null_relcl | [
"region:us"
] | 2023-02-15T07:10:10+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 465774, "num_examples": 528}, {"name": "train", "num_bytes": 199511886, "num_examples": 229800}, {"name": "validation", "num_bytes": 389980, "num_examples": 465}], "down... | 2023-02-15T07:10:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_null_relcl"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_null_relcl\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wikitext103_null_relcl\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wikitext103_null_relcl\"\n\nMore Information needed"
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4f6f34d75b1c8cffe833a240b8848bb5045c8858 | # Dataset Card for "VALUE_wikitext103_been_done"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_been_done | [
"region:us"
] | 2023-02-15T07:12:40+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 631030, "num_examples": 752}, {"name": "train", "num_bytes": 250823074, "num_examples": 294089}, {"name": "validation", "num_bytes": 553077, "num_examples": 673}], "down... | 2023-02-15T07:12:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_been_done"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_been_done\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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965dc8b6a47349e0494941396c23a8b66e7be2ee | # Dataset Card for "CHISTES_spanish_jokes"
Dataset from [Workshop for NLP introduction with Spanish jokes](https://github.com/liopic/chistes-nlp)
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mrm8488/CHISTES_spanish_jokes | [
"task_categories:text-classification",
"task_categories:text-generation",
"language:es",
"region:us"
] | 2023-02-15T07:19:30+00:00 | {"language": ["es"], "task_categories": ["text-classification", "text-generation"], "pretty_name": "chistes", "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "keywords", "dtype": "string"}, {"name": "funny", "dtype": "int64"}, {"name": "category", "dtype": "... | 2023-02-17T10:26:57+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #task_categories-text-generation #language-Spanish #region-us
| # Dataset Card for "CHISTES_spanish_jokes"
Dataset from Workshop for NLP introduction with Spanish jokes
More Information needed | [
"# Dataset Card for \"CHISTES_spanish_jokes\"\n\nDataset from Workshop for NLP introduction with Spanish jokes\n\nMore Information needed"
] | [
"TAGS\n#task_categories-text-classification #task_categories-text-generation #language-Spanish #region-us \n",
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"passage: TAGS\n#task_categories-text-classification #task_categories-text-generation #language-Spanish #region-us \n# Dataset Card for \"CHISTES_spanish_jokes\"\n\nDataset from Workshop for NLP introduction with Spanish jokes\n\nMore Information needed"
] |
d3d9ea1690b70e5e4fcfe093807ca00ab2e780a8 | # Dataset Card for "VALUE_wikitext103_null_genetive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_null_genetive | [
"region:us"
] | 2023-02-15T07:19:36+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 657089, "num_examples": 838}, {"name": "train", "num_bytes": 313568270, "num_examples": 385999}, {"name": "validation", "num_bytes": 619642, "num_examples": 793}], "down... | 2023-02-15T07:19:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_null_genetive"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_null_genetive\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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c0d53aa05de6ebc0edd97dee39d94339ace34a25 |
# Dataset Card for OSCAR-2019-Burmese-fix
## Dataset Description
This dataset is a cleand version of Myanmar language in OSCAR 2019 dataset.
### Contributions
[Swan Htet Aung](https://github.com/swanhtet1992)
| 5w4n/OSCAR-2019-Burmese-fix | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
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"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|oscar",
"languag... | 2023-02-15T07:31:43+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["my"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|oscar"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "mas... | 2023-02-16T09:01:07+00:00 | [] | [
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] | TAGS
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# Dataset Card for OSCAR-2019-Burmese-fix
## Dataset Description
This dataset is a cleand version of Myanmar language in OSCAR 2019 dataset.
### Contributions
Swan Htet Aung
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"# Dataset Card for OSCAR-2019-Burmese-fix",
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677c2ef1fbd49b53f9c3a945f8c4cf5255fc493c | A dataset of translated novels based on: https://opus.nlpl.eu/Books.php (English-Dutch)
To be used as part of the Machine Translation assignment (week 3: fine-tuning NMT)
BSc Information Science course, RUG
| GroNLP/ik-mt-2023-books | [
"region:us"
] | 2023-02-15T08:22:32+00:00 | {} | 2023-02-15T08:32:14+00:00 | [] | [] | TAGS
#region-us
| A dataset of translated novels based on: URL (English-Dutch)
To be used as part of the Machine Translation assignment (week 3: fine-tuning NMT)
BSc Information Science course, RUG
| [] | [
"TAGS\n#region-us \n"
] | [
6
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c1bbe7aba13342ada22d029d37bded9f7c24adb5 |
# Dataset Card for XMediaSum
### Dataset Summary
We present XMediaSum, a cross-lingual dialogue summarization dataset with 40K English(dialogues)->Chinese(summaries) and 40K English (dialogues)->German(summaries) samples. XMediaSum is created by manually translating the English summaries of MediaSum (a English mono... | Krystalan/xmediasum | [
"task_categories:summarization",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"language:zh",
"language:de",
"license:cc-by-nc-sa-4.0",
"region:us"
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|
# Dataset Card for XMediaSum
### Dataset Summary
We present XMediaSum, a cross-lingual dialogue summarization dataset with 40K English(dialogues)->Chinese(summaries) and 40K English (dialogues)->German(summaries) samples. XMediaSum is created by manually translating the English summaries of MediaSum (a English mono... | [
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1b30a0dacaaed9f63636c275246414713bf89283 | # Dataset Card for "helpful-raw-anthropic"
This is a dataset derived from Anthropic's [HH-RLHF data](https://huggingface.co/datasets/Anthropic/hh-rlhf) of instructions and model-generated demonstrations. We combined training splits from the following two subsets:
* `helpful-base`
* `helpful-online`
To convert the mu... | HuggingFaceH4/helpful-anthropic-raw | [
"license:mit",
"human-feedback",
"region:us"
] | 2023-02-15T10:06:51+00:00 | {"license": "mit", "pretty_name": "Helpful Raw Anthropic", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "demonstration", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34540085.04363476, "num_examples": 65499}], "download_size": 0, "dataset_size": 34540085.04363476}... | 2023-02-20T09:00:56+00:00 | [] | [] | TAGS
#license-mit #human-feedback #region-us
| # Dataset Card for "helpful-raw-anthropic"
This is a dataset derived from Anthropic's HH-RLHF data of instructions and model-generated demonstrations. We combined training splits from the following two subsets:
* 'helpful-base'
* 'helpful-online'
To convert the multi-turn dialogues into '(instruction, demonstration)... | [
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8040edc6f111547bf80befe756703a45ecd07d09 | # 岁己SUI的sovits底模数据集
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
#### ForBaseModel.zip：
数据质量不高，只用于岁己音色的底模训练（洗去G_0.pth和D_0.pth的音色）
采样频率为44.1kHz，使用前请注意预处理
取自岁己22年12月、23年1月的录播（除电台，共计211:13:21），经过以下步骤筛选处理
1. 挑取BGM音量较低的直播片段（... | Miuzarte/SUISovitsDataForBaseModel | [
"language:zh",
"AIvtuber",
"VirtuaReal",
"region:us"
] | 2023-02-15T10:33:06+00:00 | {"language": ["zh"], "tags": ["AIvtuber", "VirtuaReal"]} | 2023-03-10T04:49:43+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #AIvtuber #VirtuaReal #region-us
| # 岁己SUI的sovits底模数据集
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
#### URL：
数据质量不高，只用于岁己音色的底模训练（洗去G_0.pth和D_0.pth的音色）
采样频率为44.1kHz，使用前请注意预处理
取自岁己22年12月、23年1月的录播（除电台，共计211:13:21），经过以下步骤筛选处理
1. 挑取BGM音量较低的直播片段（20:39:21）_[[URL]](URL
2. UVR5 VR... | [
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24d09ffda4313e126ce37ef5f3217399d0719c6c | # Dataset Card for "t5-Europarl-en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tj-solergibert/t5-Europarl-en | [
"region:us"
] | 2023-02-15T11:03:34+00:00 | {"dataset_info": {"features": [{"name": "dest_lang", "dtype": {"class_label": {"names": {"0": "de", "1": "en", "2": "es", "3": "fr", "4": "it", "5": "nl", "6": "pl", "7": "pt", "8": "ro"}}}}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int6... | 2023-02-15T11:03:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "t5-Europarl-en"
More Information needed | [
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ea8e1b6f3a1d3b436d2e7f1e7adf17e738c25ec9 | # Dataset Card for Fill50K
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset is converted from fill50k example dataset of [ControlNet](https://github.com/lllyasviel/ControlNet)
### Supported Tasks and Leaderboards
... | HighCWu/fill50k | [
"language:en",
"license:openrail",
"region:us"
] | 2023-02-15T12:48:42+00:00 | {"language": ["en"], "license": "openrail", "pretty_name": "a", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "guide", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 454411979, "num_examples": 50000}], "download_size": 316021131, "dataset... | 2023-02-15T15:45:27+00:00 | [] | [
"en"
] | TAGS
#language-English #license-openrail #region-us
| # Dataset Card for Fill50K
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset is converted from fill50k example dataset of ControlNet
### Supported Tasks and Leaderboards
### Languages
## Dataset Structure
### Data Instances
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9037f14e7c8313e3e9f8d3d0af747e1f841dd9c0 | # Dataset Card for "helpful-anthropic-raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/helpful-anthropic-raw | [
"region:us"
] | 2023-02-15T13:42:37+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "demonstration", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26008407, "num_examples": 65842}], "download_size": 15735838, "dataset_size": 26008407}} | 2023-02-15T13:42:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "helpful-anthropic-raw"
More Information needed | [
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15296bd1c7a8b69a5a9771e37f0f2686dbc0e9b1 |
# Dataset Card for XMediaSum
### Dataset Summary
We present XMediaSum, a cross-lingual dialogue summarization dataset with 40K English(dialogues)->Chinese(summaries) and 40K English (dialogues)->German(summaries) samples. XMediaSum is created by manually translating the English summaries of MediaSum (a Englis... | GEM/xmediasum | [
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"language:en",
"language:zh",
"language:de",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-02-15T14:01:13+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en", "zh", "de"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_nam... | 2023-02-15T14:01:56+00:00 | [] | [
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|
# Dataset Card for XMediaSum
### Dataset Summary
We present XMediaSum, a cross-lingual dialogue summarization dataset with 40K English(dialogues)->Chinese(summaries) and 40K English (dialogues)->German(summaries) samples. XMediaSum is created by manually translating the English summaries of MediaSum (a Englis... | [
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5fe98b0c7725c5974e3f296c87d2b969c088f5eb | # Dataset Card for "trainval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rroyc20/trainval | [
"region:us"
] | 2023-02-15T14:18:54+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "clean_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3933706, "num_examples": 42415}, {"name": "val", "num_bytes": 1691755, "num_examples": 18178}], "download_size": 3490856, "dataset_size": 5625461}} | 2023-02-15T14:46:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "trainval"
More Information needed | [
"# Dataset Card for \"trainval\"\n\nMore Information needed"
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3651b36b6337f3f8fdfa6991d5095e1ecbefab69 | # Dataset Card for "salvadoran-news-edh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | justinian336/salvadoran-news-edh | [
"region:us"
] | 2023-02-15T14:34:40+00:00 | {"dataset_info": {"features": [{"name": "image_src", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "category", "dtype": {"class_label": {"names": {"0": "fotogalerias", "1": "noticias", "2": "deportes/zona-mundialista", "3": "entretenimiento", "4": "vida", "5"... | 2024-02-12T00:59:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "salvadoran-news-edh"
More Information needed | [
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6986f37a1f34467621dd78a5b0263a7400133897 | # Dataset Card for "salvadoran-news-elmundo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | justinian336/salvadoran-news-elmundo | [
"region:us"
] | 2023-02-15T14:38:15+00:00 | {"dataset_info": {"features": [{"name": "image_src", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "category", "dtype": {"class_label": {"names": {"0": "Tecnomundo", "1": "Guia Mundialista", "2": "Economia", "3": "Confidencial", "4": "Editorial", "5": "Politi... | 2024-02-12T01:01:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "salvadoran-news-elmundo"
More Information needed | [
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edd945d6e6ab10d339d7a847ee2f8bcd613d9d94 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-s... | j-krzywdziak/test2 | [
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"language:pl",
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"pl"
] | TAGS
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# Dataset Card for [Dataset Name]
## Table of Contents
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- Supported Tasks and Leaderboards
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8b289705d3be6e47c53b7859a9c0f15b1112dac5 | # Dataset Card for "fer2013test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Piro17/fer2013test | [
"region:us"
] | 2023-02-15T15:02:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "angry", "1": "disgust", "2": "fear", "3": "happy", "4": "neutral", "5": "sad", "6": "surprise"}}}}], "splits": [{"name": "train", "num_bytes": 11521798.802, "num_examples": 7178}], "download_s... | 2023-02-15T15:02:30+00:00 | [] | [] | TAGS
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| # Dataset Card for "fer2013test"
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4bccca2357674563484cd290ef21bfe7fe54ac1b |
This dataset contains the tokens for ImageNet* from the paper [Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation](https://arxiv.org/abs/2302.07865)
Download the tokens from the files page, or run:
```
wget https://huggingface.co/datasets/madrylab/imagenet-star-tokens/resolve/m... | madrylab/imagenet-star-tokens | [
"license:mit",
"arxiv:2302.07865",
"region:us"
] | 2023-02-15T15:06:23+00:00 | {"license": "mit"} | 2023-02-16T02:45:47+00:00 | [
"2302.07865"
] | [] | TAGS
#license-mit #arxiv-2302.07865 #region-us
|
This dataset contains the tokens for ImageNet* from the paper Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Download the tokens from the files page, or run:
| [] | [
"TAGS\n#license-mit #arxiv-2302.07865 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#license-mit #arxiv-2302.07865 #region-us \n"
] |
314720d976222834b3fe09a215738299ba2abe3b |
# Dataset Card for FrenchMedMCQA : A French Multiple-Choice Question Answering Corpus for Medical domain
## Table of Contents
- [Dataset Card for FrenchMedMCQA : A French Multiple-Choice Question Answering Corpus for Medical domain](#dataset-card-for-frenchmedmcqa--a-french-multiple-choice-question-answering-corpus-f... | DEFT-2023/DEFT2023 | [
"task_categories:question-answering",
"task_categories:multiple-choice",
"task_ids:multiple-choice-qa",
"task_ids:open-domain-qa",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1k<n<10k",
"source_datasets:original",
"lan... | 2023-02-15T15:23:14+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["fr"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1k<n<10k"], "source_datasets": ["original"], "task_categories": ["question-answering", "multiple-choice"], "task_ids": ["multiple... | 2023-05-28T16:37:23+00:00 | [] | [
"fr"
] | TAGS
#task_categories-question-answering #task_categories-multiple-choice #task_ids-multiple-choice-qa #task_ids-open-domain-qa #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-1k<n<10k #source_datasets-original #language-French #license-apache-2.0 #r... | Dataset Card for FrenchMedMCQA : A French Multiple-Choice Question Answering Corpus for Medical domain
======================================================================================================
Table of Contents
-----------------
* Dataset Card for FrenchMedMCQA : A French Multiple-Choice Question Answe... | [
"### Dataset Summary\n\n\nThis paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain. It is composed of 3,105 questions taken from real exams of the French medical specialization diploma in pharmacy, mixing single and multiple ans... | [
"TAGS\n#task_categories-question-answering #task_categories-multiple-choice #task_ids-multiple-choice-qa #task_ids-open-domain-qa #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-1k<n<10k #source_datasets-original #language-French #license-apache-... | [
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2d1967b67f938d206926effa200d115b5d29a672 | # Dataset Card for "model_cards_with_readmes_sections"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/model_cards_with_readmes_sections | [
"region:us"
] | 2023-02-15T15:32:03+00:00 | {"dataset_info": {"features": [{"name": "license", "dtype": "string"}, {"name": "tags", "dtype": "string"}, {"name": "is_nc", "dtype": "bool"}, {"name": "readme_section", "dtype": "string"}, {"name": "hash", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28801782.8572217, "num_examples": 32124}], "downl... | 2023-02-15T15:32:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "model_cards_with_readmes_sections"
More Information needed | [
"# Dataset Card for \"model_cards_with_readmes_sections\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"model_cards_with_readmes_sections\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"model_cards_with_readmes_sections\"\n\nMore Information needed"
] |
30a30d2ae61878baac354c5205ee7aa2d4a9e08d | # Dataset Card for "helpful-self-instruct-raw"
This dataset is derived from the `finetuning` subset of [Self-Instruct](https://github.com/yizhongw/self-instruct), with some light formatting to remove trailing spaces and `<|endoftext|>` tokens.
| HuggingFaceH4/helpful-self-instruct-raw | [
"license:apache-2.0",
"human-feedback",
"region:us"
] | 2023-02-15T15:32:48+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "demonstration", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20412870, "num_examples": 82612}], "download_size": 12532431, "dataset_size": 20412870}, "tags": ["human-feedback"]} | 2023-02-15T16:04:31+00:00 | [] | [] | TAGS
#license-apache-2.0 #human-feedback #region-us
| # Dataset Card for "helpful-self-instruct-raw"
This dataset is derived from the 'finetuning' subset of Self-Instruct, with some light formatting to remove trailing spaces and '<|endoftext|>' tokens.
| [
"# Dataset Card for \"helpful-self-instruct-raw\"\n\nThis dataset is derived from the 'finetuning' subset of Self-Instruct, with some light formatting to remove trailing spaces and '<|endoftext|>' tokens."
] | [
"TAGS\n#license-apache-2.0 #human-feedback #region-us \n",
"# Dataset Card for \"helpful-self-instruct-raw\"\n\nThis dataset is derived from the 'finetuning' subset of Self-Instruct, with some light formatting to remove trailing spaces and '<|endoftext|>' tokens."
] | [
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"passage: TAGS\n#license-apache-2.0 #human-feedback #region-us \n# Dataset Card for \"helpful-self-instruct-raw\"\n\nThis dataset is derived from the 'finetuning' subset of Self-Instruct, with some light formatting to remove trailing spaces and '<|endoftext|>' tokens."
] |
f7cc5f972394c3e973e9844736853d9cf5e1a7ba | # Dataset Card for "GID"
## Dataset Description
- **Paper** [Land-cover classification with high-resolution remote sensing images using transferable deep models](https://www.sciencedirect.com/science/article/pii/S0034425719303414)
### Licensing Information
Public domain.
## Citation Information
[Land-cover classi... | jonathan-roberts1/GID | [
"task_categories:image-classification",
"task_categories:zero-shot-image-classification",
"license:other",
"region:us"
] | 2023-02-15T16:42:03+00:00 | {"license": "other", "task_categories": ["image-classification", "zero-shot-image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "arbor woodland", "1": "artificial grassland", "2": "dry cropland", "3": "garden plot", "4": "... | 2023-03-31T14:38:31+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-zero-shot-image-classification #license-other #region-us
| # Dataset Card for "GID"
## Dataset Description
- Paper Land-cover classification with high-resolution remote sensing images using transferable deep models
### Licensing Information
Public domain.
Land-cover classification with high-resolution remote sensing images using transferable deep models
| [
"# Dataset Card for \"GID\"",
"## Dataset Description\n\n- Paper Land-cover classification with high-resolution remote sensing images using transferable deep models",
"### Licensing Information\n\nPublic domain.\n\n\n\nLand-cover classification with high-resolution remote sensing images using transferable deep ... | [
"TAGS\n#task_categories-image-classification #task_categories-zero-shot-image-classification #license-other #region-us \n",
"# Dataset Card for \"GID\"",
"## Dataset Description\n\n- Paper Land-cover classification with high-resolution remote sensing images using transferable deep models",
"### Licensing Info... | [
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"passage: TAGS\n#task_categories-image-classification #task_categories-zero-shot-image-classification #license-other #region-us \n# Dataset Card for \"GID\"## Dataset Description\n\n- Paper Land-cover classification with high-resolution remote sensing images using transferable deep models### Licensing Information\n... |
07773c7351ebfce04f666a9c9a165d1e0d59af36 | # Dataset Card for "CLRS"
## Dataset Description
- **Paper** [CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification](https://www.mdpi.com/1424-8220/20/4/1226/pdf)
-
### Licensing Information
For academic purposes.
## Citation Information
[CLRS: Continual Learning Benchmark for Remote Se... | jonathan-roberts1/CLRS | [
"task_categories:image-classification",
"task_categories:zero-shot-image-classification",
"license:other",
"region:us"
] | 2023-02-15T16:46:17+00:00 | {"license": "other", "task_categories": ["image-classification", "zero-shot-image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "airport", "1": "bare land", "2": "beach", "3": "bridge", "4": "commercial", "5": "desert", "6... | 2023-03-31T14:35:22+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-zero-shot-image-classification #license-other #region-us
| # Dataset Card for "CLRS"
## Dataset Description
- Paper CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification
-
### Licensing Information
For academic purposes.
CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification
| [
"# Dataset Card for \"CLRS\"",
"## Dataset Description\n\n- Paper CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification\n-",
"### Licensing Information\n\nFor academic purposes.\n\n\n\nCLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification"
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a1657fd6bb5aab11fc2df492816f5f7f2e919025 | # Dataset Card for "streamlit-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andfanilo/streamlit-issues | [
"region:us"
] | 2023-02-15T16:50:20+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-02-15T16:50:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "streamlit-issues"
More Information needed | [
"# Dataset Card for \"streamlit-issues\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"streamlit-issues\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"streamlit-issues\"\n\nMore Information needed"
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ac05b361866a336d733c666b48bcc63c21b4c5cd | # Dataset Card for "cppe-5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | comet-team/cppe-5 | [
"region:us"
] | 2023-02-15T17:12:20+00:00 | {"dataset_info": {"features": [{"name": "image_id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "width", "dtype": "int32"}, {"name": "height", "dtype": "int32"}, {"name": "objects", "sequence": [{"name": "id", "dtype": "int64"}, {"name": "area", "dtype": "int64"}, {"name": "bbox", "sequence": "floa... | 2023-02-15T17:18:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cppe-5"
More Information needed | [
"# Dataset Card for \"cppe-5\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cppe-5\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"cppe-5\"\n\nMore Information needed"
] |
8333b655cb9786ed6e68d58231ba348fc41c2e8a | # Dataset Card for "mastodon-instances"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | comet-team/mastodon-instances | [
"region:us"
] | 2023-02-15T17:17:09+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "short_description", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "uptime", "dtype": "float64"}, {"name": "up", "dtype": "bool"}, {"name": "https_score", "dtype": "int64"}, {"na... | 2023-02-15T17:17:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mastodon-instances"
More Information needed | [
"# Dataset Card for \"mastodon-instances\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mastodon-instances\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"mastodon-instances\"\n\nMore Information needed"
] |
5ad1aa816cd428759634413f30a3b524f2ff2011 | # Dataset Card for "bmfr-finetuning-dictmed-med"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ell-hol/bmfr-finetuning-dictmed-med | [
"region:us"
] | 2023-02-15T17:23:43+00:00 | {"dataset_info": {"features": [{"name": "bambara", "dtype": "string"}, {"name": "french", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 190972.0, "num_examples": 1539}, {"name": "test", "num_bytes": 52325.0, "num_examples": 192}], "download_size": 147976, "dataset_size": 243297.0}} | 2023-02-15T18:52:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bmfr-finetuning-dictmed-med"
More Information needed | [
"# Dataset Card for \"bmfr-finetuning-dictmed-med\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bmfr-finetuning-dictmed-med\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"bmfr-finetuning-dictmed-med\"\n\nMore Information needed"
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fcf7de2af244520e06f424c6149235166a561642 |
# Dataset Card for incivility-arizona-daily-star-comments
This is a collection of more than 6000 comments on Arizona Daily Star news articles from 2011 that have been manually annotated for various forms of incivility including aspersion, namecalling, sarcasm, and vulgarity.
## Dataset Structure
Each instance in th... | civility-lab/incivility-arizona-daily-star-comments | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"social media",
"incivilit... | 2023-02-15T18:25:12+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification"], "pre... | 2023-02-15T23:18:17+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-label-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-apache-2.0 #social media #incivility #aspersion #hyperbole #lying #na... |
# Dataset Card for incivility-arizona-daily-star-comments
This is a collection of more than 6000 comments on Arizona Daily Star news articles from 2011 that have been manually annotated for various forms of incivility including aspersion, namecalling, sarcasm, and vulgarity.
## Dataset Structure
Each instance in th... | [
"# Dataset Card for incivility-arizona-daily-star-comments\n\nThis is a collection of more than 6000 comments on Arizona Daily Star news articles from 2011 that have been manually annotated for various forms of incivility including aspersion, namecalling, sarcasm, and vulgarity.",
"## Dataset Structure\n\nEach in... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-label-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-apache-2.0 #social media #incivility #aspersion #hyperbole #lyi... | [
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78a5b42b2450e91b71e4c8bb7f4972f35237524d | # Dataset Card for "resd_annotated"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Aniemore/resd_annotated | [
"task_categories:audio-classification",
"size_categories:1K<n<10K",
"language:ru",
"license:mit",
"voice",
"emotions",
"annotated",
"classification",
"doi:10.57967/hf/1272",
"region:us"
] | 2023-02-15T20:00:40+00:00 | {"language": "ru", "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["audio-classification"], "pretty_name": "RESD", "dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "speech", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"n... | 2023-07-14T06:59:51+00:00 | [] | [
"ru"
] | TAGS
#task_categories-audio-classification #size_categories-1K<n<10K #language-Russian #license-mit #voice #emotions #annotated #classification #doi-10.57967/hf/1272 #region-us
| # Dataset Card for "resd_annotated"
More Information needed | [
"# Dataset Card for \"resd_annotated\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-audio-classification #size_categories-1K<n<10K #language-Russian #license-mit #voice #emotions #annotated #classification #doi-10.57967/hf/1272 #region-us \n",
"# Dataset Card for \"resd_annotated\"\n\nMore Information needed"
] | [
65,
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"passage: TAGS\n#task_categories-audio-classification #size_categories-1K<n<10K #language-Russian #license-mit #voice #emotions #annotated #classification #doi-10.57967/hf/1272 #region-us \n# Dataset Card for \"resd_annotated\"\n\nMore Information needed"
] |
30340cd1cb5084bec7ffd7d622220676b88bc8a6 | # Dataset Card for "VALUE_wikitext103_lexical"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_lexical | [
"region:us"
] | 2023-02-15T21:23:07+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 1246241, "num_examples": 1871}, {"name": "train", "num_bytes": 522253807, "num_examples": 756745}, {"name": "validation", "num_bytes": 1085449, "num_examples": 1603}], "... | 2023-02-15T21:23:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_lexical"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_lexical\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wikitext103_lexical\"\n\nMore Information needed"
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410184b25871c6fb918595b300f69c1ee21f8931 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
| HuggingFaceH4/pmp-se-test-dataset | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-02-15T22:00:29+00:00 | {"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "qid", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "answers", "list": [{"name": "AnswerID", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "pm_score", "dtype": "int64"}, {"name": "selected", "dtype": "bool"}, {... | 2023-02-16T00:06:13+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
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"## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:"
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] |
9048b8414e4281b9a0c3c4d54eece3603996714c | # Dataset Card for Cocktail Recipes
## 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-insta... | brianarbuckle/cocktail_recipes | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"task_categories:fill-mask",
"task_categories:text-retrieval",
"task_categories:summarization",
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"task_ids:language-modelin... | 2023-02-15T22:01:34+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "text-generation", "fill-mask", "text-retrieval", "summarization"]... | 2023-02-28T04:14:39+00:00 | [] | [
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## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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26c456a2d394d66a0415fa87d1df5a036bec8414 |
Inital example files to test an easy way to store and manage data text and images.
Created from python scripts available at https://github.com/mediocreatmybest/gaslightingeveryone/tree/main/tools
Creation script: https://github.com/mediocreatmybest/gaslightingeveryone/blob/main/tools/images2parq.py
Extraction script... | Mediocreatmybest/Example | [
"license:cc0-1.0",
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Inital example files to test an easy way to store and manage data text and images.
Created from python scripts available at URL
Creation script: URL
Extraction script: URL
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7d2be385f615d2791da434b97293aece089c9d94 | # Dataset Card for "french-snli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sugam11/french-snli | [
"region:us"
] | 2023-02-16T01:16:49+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": "translated_premise", "dtype": "string"}, {"name": "translated_hypothesis", "dtype... | 2023-02-16T01:17:44+00:00 | [] | [] | TAGS
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| # Dataset Card for "french-snli"
More Information needed | [
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b2b12c4340dedd7dbd57052caca7007eb230f8fb | # Dataset Card for "c4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lsb/c4 | [
"region:us"
] | 2023-02-16T01:29:19+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 828588742863, "num_examples": 364868892}, {"name": "validation", "num_bytes": 825766822, "num_examples": 364608}], "download_size":... | 2023-02-16T19:40:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c4"
More Information needed | [
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277382fd035cabc0b744c1c5e49e79761ad31420 | # Dataset Card for "VALUE_wikitext103_uninflect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wikitext103_uninflect | [
"region:us"
] | 2023-02-16T03:31:56+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 849818, "num_examples": 1118}, {"name": "train", "num_bytes": 368188365, "num_examples": 469979}, {"name": "validation", "num_bytes": 796548, "num_examples": 1053}], "do... | 2023-02-16T03:32:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_wikitext103_uninflect"
More Information needed | [
"# Dataset Card for \"VALUE_wikitext103_uninflect\"\n\nMore Information needed"
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5b7cd23dc3363409b775c77e79d855d02c68b46e | # Dataset Card for "affectnethq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Piro17/affectnethq | [
"region:us"
] | 2023-02-16T06:47:30+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "anger", "1": "disgust", "2": "fear", "3": "happy", "4": "neutral", "5": "sad", "6": "surprise"}}}}], "splits": [{"name": "train", "num_bytes": 5858852632.634, "num_examples": 27823}], "downloa... | 2023-02-16T06:56:12+00:00 | [] | [] | TAGS
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| # Dataset Card for "affectnethq"
More Information needed | [
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6a5f4275917093f9e8c5593120965ae065cbe459 |
# Dataset Card for SRSD-Feynman (Easy set with Dummy Variables)
## 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)
- [... | yoshitomo-matsubara/srsd-feynman_easy_dummy | [
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|
# Dataset Card for SRSD-Feynman (Easy set with Dummy Variables)
## 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
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b7fcb12b7137ebbe5b7e4eb7c6c0f5c86174a83b |
# Dataset Card for SRSD-Feynman (Medium set with Dummy Variables)
## 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)
-... | yoshitomo-matsubara/srsd-feynman_medium_dummy | [
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|
# Dataset Card for SRSD-Feynman (Medium set with Dummy Variables)
## 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
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7a97bef50a6720c18e4b79ebd7f29e9c6b084b1b |
# Dataset Card for SRSD-Feynman (Hard set with Dummy Variables)
## 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)
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# Dataset Card for SRSD-Feynman (Hard set with Dummy Variables)
## 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
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8007cbafadb06a0bdfaa0ba534b2d7a5b2f1052b |
# FB15k Dataset
The details of it can be got by this paper titled:
+ [Translating Embeddings for Modeling Multi-relational Data](http://dl.acm.org/doi/10.5555/2999792.2999923) | VLyb/FB15k | [
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# FB15k Dataset
The details of it can be got by this paper titled:
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9648d68f54fe13d0372c3f89e365fec8e4c98856 |
## Dataset Description
- **Homepage:** https://github.com/gijswijnholds/sick_nl
- **Repository:** https://github.com/gijswijnholds/sick_nl
- **Paper:** https://aclanthology.org/2021.eacl-main.126/
- **Point of Contact:** [Gijs Wijnholds](mailto:gijswijnholds@gmail.com)
### Dataset Summary
An automatically translate... | maximedb/sick_nl | [
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"license:mit",
"region:us"
] | 2023-02-16T07:44:25+00:00 | {"language": ["nl"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "SICK-NL", "dataset_info": {"features": [{"name": "pair_ID", "dtype": "int64"}, {"name": "sentence_A", "dtype": "string"}, {"name": "sentence_B", "dtype": "string"}, {"name": "entailment_la... | 2023-04-25T09:19:43+00:00 | [] | [
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## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: Gijs Wijnholds
### Dataset Summary
An automatically translated, manually corrected translation of the SICK dataset of Marelli et al. 2014, intended to boost research in Dutch NLP.
### Languages
The dataset is in Dutch.
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1d611b7384148ac997a7c004ef98ba18d215c2ea |
# Dataset Card for Helpful Instructions
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact: Lewis Tunstall**
### Dataset Summary
Helpful Instructions is a dataset of `(instruction, demonstration)` pairs that are derived from public datasets. As the na... | HuggingFaceH4/helpful-instructions | [
"license:apache-2.0",
"human-feedback",
"region:us"
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# Dataset Card for Helpful Instructions
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: Lewis Tunstall
### Dataset Summary
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"passage: TAGS\n#license-apache-2.0 #human-feedback #region-us \n# Dataset Card for Helpful Instructions## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact: Lewis Tunstall### Dataset Summary\n\nHelpful Instructions is a dataset of '(instruction, demonstration)' pai... |
6e58ad4f493bf9e409c56e9a3f3ef42012db7a3f | # AutoTrain Dataset for project: bbc-news-classifier
## Dataset Description
This dataset has been automatically processed by AutoTrain for project bbc-news-classifier.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | Saripudin/autotrain-data-bbc-news-classifier | [
"task_categories:text-classification",
"region:us"
] | 2023-02-16T09:50:57+00:00 | {"task_categories": ["text-classification"]} | 2023-02-16T09:54:19+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: bbc-news-classifier
==================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project bbc-news-classifier.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Str... | [
"### 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-text-classification #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 (... | [
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"passage: TAGS\n#task_categories-text-classification #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 call... |
aa399ffcba12f6baa52e5bff826b59bf2ab86e51 | # Dataset Card for "ismus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tiro-is/ismus | [
"region:us"
] | 2023-02-16T11:50:58+00:00 | {"dataset_info": {"features": [{"name": "audio_id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "normalized_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15107936585.61, "num_examples": 109511}, {"name": "test", "num_bytes": 947114213.608, "num_e... | 2023-02-16T12:11:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ismus"
More Information needed | [
"# Dataset Card for \"ismus\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ismus\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ismus\"\n\nMore Information needed"
] |
164fbe58548fe426e4fa13afcbf4de34732f68e9 | # AutoTrain Dataset for project: new_1000_respostas
## Dataset Description
This dataset has been automatically processed by AutoTrain for project new_1000_respostas.
### Languages
The BCP-47 code for the dataset's language is pt.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows... | pedro-m4u/autotrain-data-new_1000_respostas | [
"task_categories:text-classification",
"language:pt",
"region:us"
] | 2023-02-16T12:15:49+00:00 | {"language": ["pt"], "task_categories": ["text-classification"]} | 2023-02-16T12:20:00+00:00 | [] | [
"pt"
] | TAGS
#task_categories-text-classification #language-Portuguese #region-us
| AutoTrain Dataset for project: new\_1000\_respostas
===================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project new\_1000\_respostas.
### Languages
The BCP-47 code for the dataset's language is pt.
Dataset S... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is pt.\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 da... | [
"TAGS\n#task_categories-text-classification #language-Portuguese #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is pt.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has th... | [
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"passage: TAGS\n#task_categories-text-classification #language-Portuguese #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is pt.\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 followi... |
1653a2b77349fb0dbf41c677bc74fa3bad7874b2 |
# Dataset Card for Dataset CityLearn
This dataset is used to train a decision Transformer for the CityLearn 2022 environment https://www.aicrowd.com/challenges/neurips-2022-citylearn-challenge.
You can load data from this dataset via:
datasets.load_dataset('TobiTob/CityLearn', 'data_name')
A short description of a... | TobiTob/CityLearn | [
"region:us"
] | 2023-02-16T12:16:52+00:00 | {} | 2023-06-27T10:14:53+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset CityLearn
This dataset is used to train a decision Transformer for the CityLearn 2022 environment URL
You can load data from this dataset via:
datasets.load_dataset('TobiTob/CityLearn', 'data_name')
A short description of all data sets can be found in file URL | [
"# Dataset Card for Dataset CityLearn\n\nThis dataset is used to train a decision Transformer for the CityLearn 2022 environment URL \nYou can load data from this dataset via:\n\ndatasets.load_dataset('TobiTob/CityLearn', 'data_name')\n\nA short description of all data sets can be found in file URL"
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5878918b23b4c415df7158ec75eee187247b4801 | # danbooru-metadata
Dump of various portions danbooru's metadata, as of Feburary 2023. Everything was taken directly from their JSON API.
The directory structure follows the Danbooru20XX format of each subfolder for a record type being the record's ID modulo 1000. The `.zip` files can sometimes hold hundreds of thousa... | stma/danbooru-metadata | [
"region:us"
] | 2023-02-16T13:10:54+00:00 | {} | 2023-02-17T06:21:00+00:00 | [] | [] | TAGS
#region-us
| # danbooru-metadata
Dump of various portions danbooru's metadata, as of Feburary 2023. Everything was taken directly from their JSON API.
The directory structure follows the Danbooru20XX format of each subfolder for a record type being the record's ID modulo 1000. The '.zip' files can sometimes hold hundreds of thousa... | [
"# danbooru-metadata\nDump of various portions danbooru's metadata, as of Feburary 2023. Everything was taken directly from their JSON API.\n\nThe directory structure follows the Danbooru20XX format of each subfolder for a record type being the record's ID modulo 1000. The '.zip' files can sometimes hold hundreds o... | [
"TAGS\n#region-us \n",
"# danbooru-metadata\nDump of various portions danbooru's metadata, as of Feburary 2023. Everything was taken directly from their JSON API.\n\nThe directory structure follows the Danbooru20XX format of each subfolder for a record type being the record's ID modulo 1000. The '.zip' files can ... | [
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"passage: TAGS\n#region-us \n# danbooru-metadata\nDump of various portions danbooru's metadata, as of Feburary 2023. Everything was taken directly from their JSON API.\n\nThe directory structure follows the Danbooru20XX format of each subfolder for a record type being the record's ID modulo 1000. The '.zip' files c... |
c7cc0096855ca88268882f824569d4b3ce3f48ef | # Dataset Card for "diffusiondb_2m_first_5k_canny"
Process [diffusiondb 2m first 5k canny](https://huggingface.co/datasets/poloclub/diffusiondb) to edges by Canny algorithm.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
| HighCWu/diffusiondb_2m_first_5k_canny | [
"task_categories:text-to-image",
"size_categories:1K<n<10K",
"language:en",
"license:openrail",
"region:us"
] | 2023-02-16T14:16:14+00:00 | {"language": ["en"], "license": "openrail", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "guide", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3204091410, "num_exam... | 2023-02-16T14:53:35+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-openrail #region-us
| # Dataset Card for "diffusiondb_2m_first_5k_canny"
Process diffusiondb 2m first 5k canny to edges by Canny algorithm.
More Information needed
| [
"# Dataset Card for \"diffusiondb_2m_first_5k_canny\"\n\nProcess diffusiondb 2m first 5k canny to edges by Canny algorithm.\n\nMore Information needed"
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"TAGS\n#task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-openrail #region-us \n",
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] |
8086bd9dd6f601e50c44eddb7ecbc3a3c345571b |
 | xJunko/Eden | [
"region:us"
] | 2023-02-16T15:34:29+00:00 | {"license": "other", "pretty_name": "Random LoRA(s)"} | 2023-05-07T16:31:19+00:00 | [] | [] | TAGS
#region-us
|
![](URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4557380c0675f2ccb443c71c829de7dc7578efd1 | # Dataset Card for "wikitext103_VALUE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/wikitext103_VALUE | [
"region:us"
] | 2023-02-16T15:42:47+00:00 | {"dataset_info": {"features": [{"name": "sentence-glue", "dtype": "string"}, {"name": "sentence-glue-html", "dtype": "string"}, {"name": "sentence", "dtype": "string"}, {"name": "sentence-ass", "dtype": "int64"}, {"name": "sentence-been_done", "dtype": "int64"}, {"name": "sentence-dey_it", "dtype": "int64"}, {"name": "... | 2023-02-16T15:43:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikitext103_VALUE"
More Information needed | [
"# Dataset Card for \"wikitext103_VALUE\"\n\nMore Information needed"
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bf85d5046c2cf17ba9c2dbebd52b24ad154e9207 | polinaeterna/audio_configs_default | [
"region:us"
] | 2023-02-16T15:49:43+00:00 | {"configs_kwargs": {"data_dir": "v1", "drop_labels": true}, "duplicated_from": "polinaeterna/audio_configs2"} | 2023-02-16T17:01:39+00:00 | [] | [] | TAGS
#region-us
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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833a1ba016f422c65ed6ee990fe1db03f9597386 |
### RTHK News Dataset
(RTHK)[https://www.rthk.hk/] is a public broadcasting service under the Hong Kong Government according to (Wikipedia)[https://en.wikipedia.org/wiki/RTHK]
This dataset at the moment is obtained from exporting messages from their (telegram channel)[https://t.me/rthk_new_c],
which contains news s... | jed351/rthk_news | [
"language:zh",
"region:us"
] | 2023-02-16T16:44:01+00:00 | {"language": ["zh"]} | 2023-02-16T17:24:50+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #region-us
|
### RTHK News Dataset
(RTHK)[URL is a public broadcasting service under the Hong Kong Government according to (Wikipedia)[URL
This dataset at the moment is obtained from exporting messages from their (telegram channel)[https://t.me/rthk_new_c],
which contains news since April 2018.
I will update this dataset wit... | [
"### RTHK News Dataset\n(RTHK)[URL is a public broadcasting service under the Hong Kong Government according to (Wikipedia)[URL\n\n\nThis dataset at the moment is obtained from exporting messages from their (telegram channel)[https://t.me/rthk_new_c], \nwhich contains news since April 2018. \n\n\nI will update this... | [
"TAGS\n#language-Chinese #region-us \n",
"### RTHK News Dataset\n(RTHK)[URL is a public broadcasting service under the Hong Kong Government according to (Wikipedia)[URL\n\n\nThis dataset at the moment is obtained from exporting messages from their (telegram channel)[https://t.me/rthk_new_c], \nwhich contains news... | [
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"passage: TAGS\n#language-Chinese #region-us \n### RTHK News Dataset\n(RTHK)[URL is a public broadcasting service under the Hong Kong Government according to (Wikipedia)[URL\n\n\nThis dataset at the moment is obtained from exporting messages from their (telegram channel)[https://t.me/rthk_new_c], \nwhich contains n... |
a01c3fa42e2f2e17804738075cfdc6752f11f93a | # AutoTrain Dataset for project: air
## Dataset Description
This dataset has been automatically processed by AutoTrain for project air.
### 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
[
{
"target"... | abhishekDTU/autotrain-data-air | [
"region:us"
] | 2023-02-16T16:45:02+00:00 | {} | 2023-02-16T17:09:28+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: air
==================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project air.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Instances
... | [
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c299be4298b58f71d60f2718273b7c0d64d3aacd |
# Dataset Summary
This dataset contains all MQM human annotations from previous [WMT Metrics shared tasks](https://wmt-metrics-task.github.io/) and the MQM annotations from [Experts, Errors, and Context](https://aclanthology.org/2021.tacl-1.87/).
The data is organised into 8 columns:
- lp: language pair
- src: input... | RicardoRei/wmt-mqm-human-evaluation | [
"size_categories:100K<n<1M",
"language:en",
"language:de",
"language:ru",
"language:zh",
"license:apache-2.0",
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"region:us"
] | 2023-02-16T17:14:16+00:00 | {"language": ["en", "de", "ru", "zh"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "tags": ["mt-evaluation", "WMT"]} | 2023-02-16T18:29:11+00:00 | [] | [
"en",
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#size_categories-100K<n<1M #language-English #language-German #language-Russian #language-Chinese #license-apache-2.0 #mt-evaluation #WMT #region-us
|
# Dataset Summary
This dataset contains all MQM human annotations from previous WMT Metrics shared tasks and the MQM annotations from Experts, Errors, and Context.
The data is organised into 8 columns:
- lp: language pair
- src: input text
- mt: translation
- ref: reference translation
- score: MQM score
- system: M... | [
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f95ffe58983638bf31a5c80d43687fdf1cba56e0 |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hug... | Amir13/conll2003-persian | [
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"named entity ... | 2023-02-16T17:36:24+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["machine-generated"], "language": ["fa"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|conll2003"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recog... | 2023-02-21T06:54:17+00:00 | [
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# Dataset Card for Dataset Name
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
### Supported Tasks and Leaderboards
### Languages
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97436e50a8873f5b236e1de91bb55465988fa748 | Come collect LoRAs from CivitAI for all your generating needs!
Explore the SafeDump for SFW LoRAs or dive head-deep into the CumDump for... well, I think you get it.
Disclaimer: Absolutely none of these LoRAs belong to me. I am uploading these files here for my own personal use.
Support their creators by liking thei... | Ubque/The_LoRA_Dump | [
"region:us"
] | 2023-02-16T17:43:24+00:00 | {} | 2023-03-01T03:32:57+00:00 | [] | [] | TAGS
#region-us
| Come collect LoRAs from CivitAI for all your generating needs!
Explore the SafeDump for SFW LoRAs or dive head-deep into the CumDump for... well, I think you get it.
Disclaimer: Absolutely none of these LoRAs belong to me. I am uploading these files here for my own personal use.
Support their creators by liking thei... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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00b823e0df95a3ad565436da3a9874cb18bf625e | # Dataset Card for "miniwobplusplus_episodes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LucasThil/miniwobplusplus_episodes | [
"region:us"
] | 2023-02-16T17:59:24+00:00 | {"dataset_info": {"features": [{"name": "episodes", "dtype": "string"}, {"name": "actions", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3384285009, "num_examples": 16794}], "download_size": 276652178, "dataset_size": 3384285009}} | 2023-02-16T18:09:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "miniwobplusplus_episodes"
More Information needed | [
"# Dataset Card for \"miniwobplusplus_episodes\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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ab45e601c6c268738bbce1c95974000f96cdf294 | # Dataset Card for "icdar2023vqabd-small-tables-train"
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## Dataset Description
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# Dataset Summary
This dataset contains all DA human annotations from previous WMT News Translation shared tasks.
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ce9bd9084eb48db58311f5b5dd8f5cbd942d9039 | # Dataset Card for "miniwobplusplus_ready"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LucasThil/miniwobplusplus_ready | [
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
[source](https://www.kaggle.com/competitions/home-depot-product-search-relevance)
Dataset Description
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3f63b31100a09af8e3f2c320f27c8eadaa0e910d | # Dataset Card for "large-algae-wirs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | samitizerxu/large-algae-wirs | [
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96beb9a3390e597560c1fedb72b81e244bc00856 | # Dataset Card for "sq-babi_nli_indefinite-knowledge"
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b52e930385cf5ed7f063072c3f7bd17b599a16cf |
# Dataset Card for AfriSenti Dataset
<p align="center">
<img src="https://raw.githubusercontent.com/afrisenti-semeval/afrisent-semeval-2023/main/images/afrisenti-twitter.png", width="700" height="500">
--------------------------------------------------------------------------------
## Dataset Description
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==================================
---
Dataset Description
-------------------
* Homepage: URL
* Repository: GitHub
* Paper: AfriSenti: AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
* Paper: SemEval-2023 Task 12: Sentiment Analysis fo... | [
"### Dataset Summary\n\n\nAfriSenti is the largest sentiment analysis dataset for under-represented African languages, covering 110,000+ annotated tweets in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oromo, Swahili, Tigrinya, Tw... | [
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f85b9387a7f10190376806d3c7d959e201ef21b2 | # Dataset Card for "class_dataset_real"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LFBMS/class_dataset_real | [
"region:us"
] | 2023-02-16T22:01:29+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bilanz_h", "1": "bilanz_v", "2": "guv", "3": "kontennachweis_bilanz", "4": "kontennachweis_guv", "5": "other", "6": "text"}}}}], "splits": [{"name": "train", "num_bytes": 330330968.875, "num_e... | 2023-02-16T22:03:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "class_dataset_real"
More Information needed | [
"# Dataset Card for \"class_dataset_real\"\n\nMore Information needed"
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bb0d3c02dc82d9d5a24be1b92661753634268191 | # Dataset Card for "class_dataset_real2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LFBMS/class_dataset_real2 | [
"region:us"
] | 2023-02-16T22:04:23+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bilanz_h", "1": "bilanz_v", "2": "guv", "3": "kontennachweis_bilanz", "4": "kontennachweis_guv", "5": "other"}}}}], "splits": [{"name": "train", "num_bytes": 345218235.409, "num_examples": 111... | 2023-02-16T22:06:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "class_dataset_real2"
More Information needed | [
"# Dataset Card for \"class_dataset_real2\"\n\nMore Information needed"
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42c411e39c022f293eaae02d651fa8ec4ad2869f | # Dataset Card for "class_dataset_real3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LFBMS/class_dataset_real3 | [
"region:us"
] | 2023-02-16T22:18:06+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bilanz", "1": "guv", "2": "kontennachweis_bilanz", "3": "kontennachweis_guv", "4": "other"}}}}], "splits": [{"name": "train", "num_bytes": 328417078.735, "num_examples": 1117}, {"name": "test"... | 2023-02-16T22:19:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "class_dataset_real3"
More Information needed | [
"# Dataset Card for \"class_dataset_real3\"\n\nMore Information needed"
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57d34fad1cf7d4d9e71774ea17c4c1a7f57af8d4 | # Implicit Hate Speech
_Latent Hatred: A Benchmark for Understanding Implicit Hate Speech_
[[Read the Paper]](https://aclanthology.org/2021.emnlp-main.29/) | [[Take a Survey to Access the Data]](https://forms.gle/QxCpEbVp91Z35hWFA) | [[Download the Data]](https://www.dropbox.com/s/24meryhqi1oo0xk/implicit-hate-corpus... | SALT-NLP/ImplicitHate | [
"region:us"
] | 2023-02-16T22:45:19+00:00 | {} | 2023-02-16T23:00:38+00:00 | [] | [] | TAGS
#region-us
| # Implicit Hate Speech
_Latent Hatred: A Benchmark for Understanding Implicit Hate Speech_
[[Read the Paper]](URL | [[Take a Survey to Access the Data]](URL | [[Download the Data]](URL
<img src="URL" alt="frontpage" width="650"/>
## *Why Implicit Hate?*
It is important to consider the subtle tricks that many extr... | [
"# Implicit Hate Speech\n\n_Latent Hatred: A Benchmark for Understanding Implicit Hate Speech_\n\n[[Read the Paper]](URL | [[Take a Survey to Access the Data]](URL | [[Download the Data]](URL\n\n<img src=\"URL\" alt=\"frontpage\" width=\"650\"/>",
"## *Why Implicit Hate?* \n\nIt is important to consider the subtl... | [
"TAGS\n#region-us \n",
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a3fe78950263236caa5b6d8e94a9936020212cbb |
# `peptides-functional`
### Dataset Summary
| Dataset | Domain | Task | Node Feat. (dim) | Edge Feat. (dim) | Perf. Metric |
|---|---|---|---|---|---|
| Peptides-func | Chemistry | Graph Classification | Atom Encoder (9) | Bond Encoder (3) | AP
| Dataset | # Graphs | # Nodes | μ Nodes | μ Deg. | # Edges | ... | LRGB/peptides-functional | [
"task_categories:graph-ml",
"size_categories:1M<n<10M",
"license:cc-by-nc-4.0",
"lrgb",
"region:us"
] | 2023-02-16T23:28:39+00:00 | {"license": "cc-by-nc-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["graph-ml"], "tags": ["lrgb"]} | 2023-02-16T23:32:21+00:00 | [] | [] | TAGS
#task_categories-graph-ml #size_categories-1M<n<10M #license-cc-by-nc-4.0 #lrgb #region-us
| 'peptides-functional'
=====================
### Dataset Summary
Additional Information
----------------------
### Dataset Curators
* Vijay Prakash Dwivedi (vijaydwivedi75)
| [
"### Dataset Summary\n\n\n\n\nAdditional Information\n----------------------",
"### Dataset Curators\n\n\n* Vijay Prakash Dwivedi (vijaydwivedi75)"
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] |
11eeb2144def00a55deb2a4f8fada24ea7b207af |
# `peptides-functional`
### Dataset Summary
| Dataset | Domain | Task | Node Feat. (dim) | Edge Feat. (dim) | Perf. Metric |
|---|---|---|---|---|---|
| Peptides-struct | Chemistry | Graph Regression | Atom Encoder (9) | Bond Encoder (3) | MAE |
| Dataset | # Graphs | # Nodes | μ Nodes | μ Deg. | # Edges |... | LRGB/peptides-structural | [
"task_categories:graph-ml",
"size_categories:1M<n<10M",
"license:cc-by-nc-4.0",
"lrgb",
"region:us"
] | 2023-02-16T23:35:22+00:00 | {"license": "cc-by-nc-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["graph-ml"], "tags": ["lrgb"]} | 2023-02-16T23:37:39+00:00 | [] | [] | TAGS
#task_categories-graph-ml #size_categories-1M<n<10M #license-cc-by-nc-4.0 #lrgb #region-us
| 'peptides-functional'
=====================
### Dataset Summary
Additional Information
----------------------
### Dataset Curators
* Vijay Prakash Dwivedi (vijaydwivedi75)
| [
"### Dataset Summary\n\n\n\n\nAdditional Information\n----------------------",
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] |
c15bc4801b8444245a88afc4fd024f3b45f95117 |
# `peptides-functional`
### Dataset Summary
| Dataset | Domain | Task | Node Feat. (dim) | Edge Feat. (dim) | Perf. Metric |
|---|---|---|---|---|---|
| PCQM-Contact | Quantum Chemistry | Link Prediction | Atom Encoder (9) | Bond Encoder (3) | Hits@K, MRR
| Dataset | # Graphs | # Nodes | μ Nodes | μ Deg. |... | LRGB/PCQM-Contact | [
"task_categories:graph-ml",
"size_categories:1M<n<10M",
"license:cc-by-4.0",
"lrgb",
"region:us"
] | 2023-02-16T23:38:03+00:00 | {"license": "cc-by-4.0", "size_categories": ["1M<n<10M"], "task_categories": ["graph-ml"], "tags": ["lrgb"]} | 2023-02-17T01:55:38+00:00 | [] | [] | TAGS
#task_categories-graph-ml #size_categories-1M<n<10M #license-cc-by-4.0 #lrgb #region-us
| 'peptides-functional'
=====================
### Dataset Summary
Additional Information
----------------------
### Dataset Curators
* Vijay Prakash Dwivedi (vijaydwivedi75)
| [
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] |
0a5be68bc47be0ffcdbe098cce5f738db81782a7 | 01:00:21 BTW AlDS: Smashing!
01:28:47 BTW AlDS: Smashing!
14:01:13 BTW AlDS: Smashing!
15:04:01 BTW AlDS: Smashing!
21:22:56 CaptainOnLSD: Adaadaaa
21:34:53 CaptainOnLSD: Dadaaaddddw123dd
22:01:19 CaptainOnLSD: Aaaadad
22:01:50 <img=2>BTW AlDS: !Ttm
22:58:19 <img=2>Gym Tool: No jaw?
22:58:24 <img=2>KC Chiefz: 0nope
22:... | Jelloleaf/gotr | [
"region:us"
] | 2023-02-16T23:53:11+00:00 | {} | 2023-02-16T23:56:38+00:00 | [] | [] | TAGS
#region-us
| 01:00:21 BTW AlDS: Smashing!
01:28:47 BTW AlDS: Smashing!
14:01:13 BTW AlDS: Smashing!
15:04:01 BTW AlDS: Smashing!
21:22:56 CaptainOnLSD: Adaadaaa
21:34:53 CaptainOnLSD: Dadaaaddddw123dd
22:01:19 CaptainOnLSD: Aaaadad
22:01:50 <img=2>BTW AlDS: !Ttm
22:58:19 <img=2>Gym Tool: No jaw?
22:58:24 <img=2>KC Chiefz: 0nope
22:... | [] | [
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ea7c6e29c1c28f8d09674ec22fe11a7dfcbf541c | # Birds of Australia
As described on RAWPIXEL:
Considered the “Father of bird study in Australia”, John Gould (1804–1881) is one of the most celebrated publications on ornithology worldwide. His book "Birds of Australia" (1840–1848) illustrated by his wife, Elizabeth Gould (1804–1841) introduced more than 300 new bir... | Mediocreatmybest/John_Gould_Birds_of_Australia | [
"language:en",
"license:cc0-1.0",
"region:us"
] | 2023-02-17T01:58:01+00:00 | {"language": ["en"], "license": "cc0-1.0"} | 2023-02-25T10:50:57+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc0-1.0 #region-us
| # Birds of Australia
As described on RAWPIXEL:
Considered the “Father of bird study in Australia”, John Gould (1804–1881) is one of the most celebrated publications on ornithology worldwide. His book "Birds of Australia" (1840–1848) illustrated by his wife, Elizabeth Gould (1804–1841) introduced more than 300 new bir... | [
"# Birds of Australia\n\nAs described on RAWPIXEL:\n\nConsidered the “Father of bird study in Australia”, John Gould (1804–1881) is one of the most celebrated publications on ornithology worldwide. His book \"Birds of Australia\" (1840–1848) illustrated by his wife, Elizabeth Gould (1804–1841) introduced more than ... | [
"TAGS\n#language-English #license-cc0-1.0 #region-us \n",
"# Birds of Australia\n\nAs described on RAWPIXEL:\n\nConsidered the “Father of bird study in Australia”, John Gould (1804–1881) is one of the most celebrated publications on ornithology worldwide. His book \"Birds of Australia\" (1840–1848) illustrated by... | [
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a27dd8c5395c3c899a9f75c1a65fc44f87a26939 |
# Do what you will with the data this is old photos of crafts I used to make - just abide by the liscence above and you good to go! | Capsekai/Badge_crafts | [
"task_categories:text-to-image",
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"license:creativeml-openrail-m",
"badges",
"crafts",
"region:us"
] | 2023-02-17T02:57:41+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image", "image-classification"], "pretty_name": "Badge Craft Dataset", "tags": ["badges", "crafts"]} | 2023-02-26T10:34:30+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #task_categories-image-classification #size_categories-1K<n<10K #language-English #license-creativeml-openrail-m #badges #crafts #region-us
|
# Do what you will with the data this is old photos of crafts I used to make - just abide by the liscence above and you good to go! | [
"# Do what you will with the data this is old photos of crafts I used to make - just abide by the liscence above and you good to go!"
] | [
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1a2c4250e19f042e4e2655d386ee4bb004790c3c | A dataset of AI-generated images or images modified from them.
Products using this dataset
- [empty-eyes-LoRAs](https://huggingface.co/xenon3134-mc/empty-eyes-LoRAs) | xenon3134-mc/empty-eyes-dataset | [
"size_categories:n<1K",
"license:mit",
"region:us"
] | 2023-02-17T03:17:51+00:00 | {"license": "mit", "size_categories": ["n<1K"]} | 2023-02-17T03:46:02+00:00 | [] | [] | TAGS
#size_categories-n<1K #license-mit #region-us
| A dataset of AI-generated images or images modified from them.
Products using this dataset
- empty-eyes-LoRAs | [] | [
"TAGS\n#size_categories-n<1K #license-mit #region-us \n"
] | [
21
] | [
"passage: TAGS\n#size_categories-n<1K #license-mit #region-us \n"
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6f2bec3903eea34c0302fe4427b7fe200af5e954 | # Dataset Card for "pile"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lsb/pile | [
"region:us"
] | 2023-02-17T03:26:26+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "meta", "struct": [{"name": "pile_set_name", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 1311748175503, "num_examples": 210607728}, {"name": "validation", "num_bytes": 1348824258, "num_examples": 214670}, {"name": "test", ... | 2023-02-18T10:00:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pile"
More Information needed | [
"# Dataset Card for \"pile\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pile\"\n\nMore Information needed"
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6,
12
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"passage: TAGS\n#region-us \n# Dataset Card for \"pile\"\n\nMore Information needed"
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3a67e1f11995589f4c00b67eaef4caa12c740ade |
<div style='background: #ffeec0; border: 1px solid #ffd86d; padding:1em; border-radius:3px;'>
<h3 style='margin:0'>Outdated!</h3>
<p style='margin:0'>This dataset has been superseded by:</p>
<p style='margin:0'><a style="font-size: 2em;" href='https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-curated'>E621 R... | hearmeneigh/e621-rising-v2-curated | [
"size_categories:100K<n<1M",
"furry",
"anthro",
"nsfw",
"e621",
"not-for-all-audiences",
"region:us"
] | 2023-02-17T04:43:33+00:00 | {"size_categories": ["100K<n<1M"], "pretty_name": "E621 Rising: Curated Image Dataset v2", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 135370373465.422, "num_examples": 285466}], "do... | 2023-10-09T17:56:52+00:00 | [] | [] | TAGS
#size_categories-100K<n<1M #furry #anthro #nsfw #e621 #not-for-all-audiences #region-us
|
<div style='background: #ffeec0; border: 1px solid #ffd86d; padding:1em; border-radius:3px;'>
<h3 style='margin:0'>Outdated!</h3>
<p style='margin:0'>This dataset has been superseded by:</p>
<p style='margin:0'><a style="font-size: 2em;" href='URL Rising V3 Curated Image Dataset</a></p>
</div>
Warning: THIS dataset ... | [
"# E621 Rising: Curated Image Dataset v2\n\n285,466 images (~125GB) downloaded from 'URL' with tags.\n\nThis is a curated dataset, picked from the E621 Rising: Raw Image Dataset v2 available here.",
"## Image Processing\n* Only 'jpg' and 'png' images were considered\n* Image width and height have been clamped to ... | [
"TAGS\n#size_categories-100K<n<1M #furry #anthro #nsfw #e621 #not-for-all-audiences #region-us \n",
"# E621 Rising: Curated Image Dataset v2\n\n285,466 images (~125GB) downloaded from 'URL' with tags.\n\nThis is a curated dataset, picked from the E621 Rising: Raw Image Dataset v2 available here.",
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0243f2e6d606a615ccc68744869108d4de27d869 | # Dataset Card for "wikipedia.reorder.natural.pl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.reorder.natural.pl | [
"region:us"
] | 2023-02-17T08:27:57+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1958124685, "num_examples": 1772445}], "download_size": 523553918, "dataset_size": 1958124685}} | 2023-02-17T12:00:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "URL"
More Information needed | [
"# Dataset Card for \"URL\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"URL\"\n\nMore Information needed"
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ee478e9afd9139966912c12161b4597124dd3349 | # Dataset Card for "augment_train_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MohammedNasri/augment_train_dataset | [
"region:us"
] | 2023-02-17T09:47:16+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8532425445.0, "num_examples": 81760}, {"name": "eval", "num_bytes": 304561718.0, "num_examples": 10440}], "download_size": 8179433148, "data... | 2023-02-17T09:53:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "augment_train_dataset"
More Information needed | [
"# Dataset Card for \"augment_train_dataset\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"augment_train_dataset\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"augment_train_dataset\"\n\nMore Information needed"
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49bad0c575d4f8a9de6a51afff3484651a582567 | # Dataset Card for "class_dataset_real_donut"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LFBMS/class_dataset_real_donut | [
"region:us"
] | 2023-02-17T09:51:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bilanz_h", "1": "bilanz_v", "2": "guv", "3": "kontennachweis_bilanz", "4": "kontennachweis_guv", "5": "other", "6": "text"}}}}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name"... | 2023-02-17T09:51:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "class_dataset_real_donut"
More Information needed | [
"# Dataset Card for \"class_dataset_real_donut\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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c3e3f423063e1c822b25d5c677370991b612ead7 | # Dataset Card for "class_dataset_real2_donut"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LFBMS/class_dataset_real2_donut | [
"region:us"
] | 2023-02-17T10:00:13+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bilanz_h", "1": "bilanz_v", "2": "guv", "3": "kontennachweis_bilanz", "4": "kontennachweis_guv", "5": "other"}}}}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "n... | 2023-02-17T10:00:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "class_dataset_real2_donut"
More Information needed | [
"# Dataset Card for \"class_dataset_real2_donut\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"class_dataset_real2_donut\"\n\nMore Information needed"
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d794c4fec04839020f54b071d3871f17e944638f |
An imitation learning environment for the atari_pong environment, sample for the policy atari_2B_atari_pong_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_pong_1111 | [
"deep-reinforcement-learning",
"reinforcement-learning",
"gia",
"multi-task",
"multi-modal",
"imitation-learning",
"offline-reinforcement-learning",
"region:us"
] | 2023-02-17T10:04:25+00:00 | {"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]} | 2023-02-21T17:07:48+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_pong environment, sample for the policy atari_2B_atari_pong_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"
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] |
b395321beb1b0eb4305283b7657248c794c68916 | # Dataset Card for "class_dataset_real3_donut"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LFBMS/class_dataset_real3_donut | [
"region:us"
] | 2023-02-17T10:14:22+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bilanz", "1": "guv", "2": "kontennachweis_bilanz", "3": "kontennachweis_guv", "4": "other"}}}}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32783567... | 2023-02-17T10:14:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "class_dataset_real3_donut"
More Information needed | [
"# Dataset Card for \"class_dataset_real3_donut\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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2ca3012ef85a60143a8f97b83a45bb1a7b5c2244 |
# VGGSound
VGG-Sound is an audio-visual correspondent dataset consisting of short clips of audio sounds, extracted from videos uploaded to YouTube.
- **Homepage:** https://www.robots.ox.ac.uk/~vgg/data/vggsound/
- **Paper:** https://arxiv.org/abs/2004.14368
- **Github:** https://github.com/hche11/VGGSound
## Analy... | Loie/VGGSound | [
"task_categories:audio-classification",
"size_categories:100B<n<1T",
"arxiv:2004.14368",
"region:us"
] | 2023-02-17T10:27:55+00:00 | {"size_categories": ["100B<n<1T"], "task_categories": ["audio-classification"]} | 2023-03-26T12:25:40+00:00 | [
"2004.14368"
] | [] | TAGS
#task_categories-audio-classification #size_categories-100B<n<1T #arxiv-2004.14368 #region-us
|
# VGGSound
VGG-Sound is an audio-visual correspondent dataset consisting of short clips of audio sounds, extracted from videos uploaded to YouTube.
- Homepage: URL
- Paper: URL
- Github: URL
## Analysis
- 310+ classes: VGG-Sound contains audios spanning a large number of challenging acoustic environments and nois... | [
"# VGGSound\nVGG-Sound is an audio-visual correspondent dataset consisting of short clips of audio sounds, extracted from videos uploaded to YouTube.\n\n\n- Homepage: URL\n- Paper: URL\n- Github: URL",
"## Analysis\n\n- 310+ classes: VGG-Sound contains audios spanning a large number of challenging acoustic enviro... | [
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"# VGGSound\nVGG-Sound is an audio-visual correspondent dataset consisting of short clips of audio sounds, extracted from videos uploaded to YouTube.\n\n\n- Homepage: URL\n- Paper: URL\n- Github: URL",
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