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6f5312e066d604d71bfa3628034b34229b4bebb9 |
# Azerbaijani News Summary Dataset Card
## Dataset Summary
I present __az-news-summary__, a comprehensive and diverse dataset comprising __143k (143,448)__ Azerbaijani news articles extracted using a set of carefully designed heuristics. The dataset covers common topics for news reports include war, government, poli... | nijatzeynalov/azerbaijani-multi-news | [
"task_categories:summarization",
"language:az",
"license:creativeml-openrail-m",
"doi:10.57967/hf/0312",
"region:us"
] | 2023-01-29T13:26:52+00:00 | {"language": ["az"], "license": "creativeml-openrail-m", "task_categories": ["summarization"], "pretty_name": "Azerbaijani News Summary Dataset Card", "extra_gated_prompt": "You agree to not use the dataset to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name and Surname": "text", "E... | 2023-03-27T19:24:18+00:00 | [] | [
"az"
] | TAGS
#task_categories-summarization #language-Azerbaijani #license-creativeml-openrail-m #doi-10.57967/hf/0312 #region-us
| Azerbaijani News Summary Dataset Card
=====================================
Dataset Summary
---------------
I present **az-news-summary**, a comprehensive and diverse dataset comprising **143k (143,448)** Azerbaijani news articles extracted using a set of carefully designed heuristics. The dataset covers common top... | [] | [
"TAGS\n#task_categories-summarization #language-Azerbaijani #license-creativeml-openrail-m #doi-10.57967/hf/0312 #region-us \n"
] | [
47
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"passage: TAGS\n#task_categories-summarization #language-Azerbaijani #license-creativeml-openrail-m #doi-10.57967/hf/0312 #region-us \n"
] |
4989a297edb159907de3dbe83fdd7ee90cfea216 | # Dataset Card for "MIMMICIII-tokenized_notes_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JuanJoseMV/MIMMICIII-tokenized_notes_train | [
"region:us"
] | 2023-01-29T13:36:59+00:00 | {"dataset_info": {"features": [{"name": "HADMID", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 3309959072, "num_examples": 1284922}], "download_size": 114544651, "dataset_size": 3309959072}} | 2023-01-29T13:38:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MIMMICIII-tokenized_notes_train"
More Information needed | [
"# Dataset Card for \"MIMMICIII-tokenized_notes_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MIMMICIII-tokenized_notes_train\"\n\nMore Information needed"
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6,
24
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"passage: TAGS\n#region-us \n# Dataset Card for \"MIMMICIII-tokenized_notes_train\"\n\nMore Information needed"
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0ed3c776636025306e33bede44b2dc253403a887 | # Dataset Card for "he_cnn_dailymail"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | imvladikon/he_cnn_dailymail | [
"task_categories:summarization",
"language:he",
"region:us"
] | 2023-01-29T13:37:03+00:00 | {"language": ["he"], "task_categories": ["summarization"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "article", "dtype": "string"}, {"name": "highlights", "dtype": "string"}, {"name": "article_en", "dtype": "string"}, {"name": "highlights_en", "dtype": "string"}], "splits": [{"name": "tr... | 2023-11-22T15:57:34+00:00 | [] | [
"he"
] | TAGS
#task_categories-summarization #language-Hebrew #region-us
| # Dataset Card for "he_cnn_dailymail"
More Information needed | [
"# Dataset Card for \"he_cnn_dailymail\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-summarization #language-Hebrew #region-us \n",
"# Dataset Card for \"he_cnn_dailymail\"\n\nMore Information needed"
] | [
21,
17
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"passage: TAGS\n#task_categories-summarization #language-Hebrew #region-us \n# Dataset Card for \"he_cnn_dailymail\"\n\nMore Information needed"
] |
27be203f7518264bd1b2d967cd69b725dae57b14 | # Dataset Card for "MIMMICIII-tokenized_notes_valid"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JuanJoseMV/MIMMICIII-tokenized_notes_valid | [
"region:us"
] | 2023-01-29T13:53:52+00:00 | {"dataset_info": {"features": [{"name": "HADMID", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 3683664544, "num_examples": 1429994}], "download_size": 127610869, "dataset_size": 3683664544}} | 2023-01-29T13:56:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MIMMICIII-tokenized_notes_valid"
More Information needed | [
"# Dataset Card for \"MIMMICIII-tokenized_notes_valid\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MIMMICIII-tokenized_notes_valid\"\n\nMore Information needed"
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24
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"passage: TAGS\n#region-us \n# Dataset Card for \"MIMMICIII-tokenized_notes_valid\"\n\nMore Information needed"
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98a008bb5b5d5ae160007961cdbabd9412d41dbe | # Dataset Card for "MIMMICIII-tokenized_notes_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JuanJoseMV/MIMMICIII-tokenized_notes_test | [
"region:us"
] | 2023-01-29T14:06:02+00:00 | {"dataset_info": {"features": [{"name": "HADMID", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 3683664544, "num_examples": 1429994}], "download_size": 127614703, "dataset_size": 3683664544}} | 2023-01-29T14:08:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MIMMICIII-tokenized_notes_test"
More Information needed | [
"# Dataset Card for \"MIMMICIII-tokenized_notes_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MIMMICIII-tokenized_notes_test\"\n\nMore Information needed"
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94e6e132c9ad1c02a24c5d457dca753c630d956a | # Dataset Card for "OxfordPets_test_facebook_opt_6.7b_Attributes_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_6.7b_Attributes_ns_3669 | [
"region:us"
] | 2023-01-29T15:34:40+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_1_bs_16", "num_bytes... | 2023-01-29T15:34:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_6.7b_Attributes_ns_3669"
More Information needed | [
"# Dataset Card for \"OxfordPets_test_facebook_opt_6.7b_Attributes_ns_3669\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"OxfordPets_test_facebook_opt_6.7b_Attributes_ns_3669\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordPets_test_facebook_opt_6.7b_Attributes_ns_3669\"\n\nMore Information needed"
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ae4db7cec061b3d543e6fd38e9b3322c20cf5154 | # Dataset Card for "chilean_spanish_corpus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jorgeortizfuentes/small-chilean-spanish-corpus | [
"region:us"
] | 2023-01-29T15:35:19+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8869161972, "num_examples": 14875186}], "download_size": 5504277686, "dataset_size": 8869161972}} | 2023-01-29T15:43:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chilean_spanish_corpus"
More Information needed | [
"# Dataset Card for \"chilean_spanish_corpus\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"chilean_spanish_corpus\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"chilean_spanish_corpus\"\n\nMore Information needed"
] |
e6b9a57aa2938259bdad5b1d43092dedc67214db | # Dataset Card for "DTD_parition1_test_facebook_opt_6.7b_Attributes_ns_1880"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/DTD_parition1_test_facebook_opt_6.7b_Attributes_ns_1880 | [
"region:us"
] | 2023-01-29T15:43:29+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-29T17:58:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DTD_parition1_test_facebook_opt_6.7b_Attributes_ns_1880"
More Information needed | [
"# Dataset Card for \"DTD_parition1_test_facebook_opt_6.7b_Attributes_ns_1880\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"DTD_parition1_test_facebook_opt_6.7b_Attributes_ns_1880\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"DTD_parition1_test_facebook_opt_6.7b_Attributes_ns_1880\"\n\nMore Information needed"
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bc0d59a9cd8f907a868b9629fac4056f37b35cac | # Dataset Card for "DTD_parition1_test_facebook_opt_6.7b_Attributes_Caption_ns_1880"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/DTD_parition1_test_facebook_opt_6.7b_Attributes_Caption_ns_1880 | [
"region:us"
] | 2023-01-29T15:49:55+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-29T18:17:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DTD_parition1_test_facebook_opt_6.7b_Attributes_Caption_ns_1880"
More Information needed | [
"# Dataset Card for \"DTD_parition1_test_facebook_opt_6.7b_Attributes_Caption_ns_1880\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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37
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"passage: TAGS\n#region-us \n# Dataset Card for \"DTD_parition1_test_facebook_opt_6.7b_Attributes_Caption_ns_1880\"\n\nMore Information needed"
] |
4751fb84bfebdb4e79e4fda756602104c23bbc2d |
Dataset for watermark classification (no_watermark/watermark)
~22k images, 512x512, manually annotated
additional info - https://github.com/qwertyforce/scenery_watermarks | qwertyforce/scenery_watermarks | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"license:cc-by-nc-4.0",
"watermark",
"doi:10.57967/hf/0313",
"region:us"
] | 2023-01-29T15:52:12+00:00 | {"license": "cc-by-nc-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["image-classification"], "pretty_name": "Scenery Watermarks", "tags": ["watermark"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "no_watermark", "1": "wate... | 2023-01-31T16:58:17+00:00 | [] | [] | TAGS
#task_categories-image-classification #size_categories-10K<n<100K #license-cc-by-nc-4.0 #watermark #doi-10.57967/hf/0313 #region-us
|
Dataset for watermark classification (no_watermark/watermark)
~22k images, 512x512, manually annotated
additional info - URL | [] | [
"TAGS\n#task_categories-image-classification #size_categories-10K<n<100K #license-cc-by-nc-4.0 #watermark #doi-10.57967/hf/0313 #region-us \n"
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55
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] |
c4add321635d370291289f1a7eff19632f30f700 | # Story generation
## Dataset Description
- **Homepage:** https://laion.ai/
### Dataset Summary
This dataset contains summaries and stories from [RUCAIBox/Story-Generation](https://huggingface.co/datasets/RUCAIBox/Story-Generation) dataset.
## Dataset Structure
### Data Fields
- `summary`: The summary of the sto... | qwedsacf/story-generation | [
"task_categories:text-generation",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"story-generation",
"region:us"
] | 2023-01-29T15:52:32+00:00 | {"language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "task_ids": [], "tags": ["story-generation"], "dataset_info": {"features": [{"name": "summary", "dtype": "string"}, {"name": "story", "dtype": "string"}, {"name": "source", "dtype": "string... | 2023-02-02T11:00:46+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #multilinguality-monolingual #size_categories-100K<n<1M #language-English #story-generation #region-us
| # Story generation
## Dataset Description
- Homepage: URL
### Dataset Summary
This dataset contains summaries and stories from RUCAIBox/Story-Generation dataset.
## Dataset Structure
### Data Fields
- 'summary': The summary of the story
- 'story': The story | [
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a3950bf13410bda831594efe7af60334ca1cefb3 | # Dataset Card for "DTD_parition1_test_facebook_opt_6.7b_Visclues_ns_1880"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/DTD_parition1_test_facebook_opt_6.7b_Visclues_ns_1880 | [
"region:us"
] | 2023-01-29T15:56:44+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-29T18:43:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DTD_parition1_test_facebook_opt_6.7b_Visclues_ns_1880"
More Information needed | [
"# Dataset Card for \"DTD_parition1_test_facebook_opt_6.7b_Visclues_ns_1880\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"DTD_parition1_test_facebook_opt_6.7b_Visclues_ns_1880\"\n\nMore Information needed"
] |
258dd986d2c617001501ca8618fc786885d368b0 | # Dataset Card for "Sentences"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nlpproject2023/Sentences_old | [
"region:us"
] | 2023-01-29T17:31:44+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "facts", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 3897012, "num_examples": 7405}], "download_size": 2542216, "dataset_size": 3897012}} | 2023-01-29T17:31:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Sentences"
More Information needed | [
"# Dataset Card for \"Sentences\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Sentences\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Sentences\"\n\nMore Information needed"
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452abc047dc0a3a93fbd8344757ee6dad2199faa |
# LoRA - niji_jelly
LoRA trained on images trained on from MidJourney's Niji style, specifically the jelly look.
All image examples are on the dalcefoV3Anime model: https://civitai.com/models/... | kxly/niji_jelly | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-29T19:32:25+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "pretty_name": "niji_jelly Style", "thumbnail": "https://huggingface.co/datasets/kxly/niji_jelly/blob/main/niji_jelly_showcase_2.png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-31T17:00:28+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# LoRA - niji_jelly
!niji_jelly_showcase_2.png
LoRA trained on images trained on from MidJourney's Niji style, specifically the jelly look.
All image examples are on the dalcefoV3Anime model: URL
I recommend using the LoRA at around 0.8 emphasis for best results.
## License
This embedding is open access and avai... | [
"# LoRA - niji_jelly\n\n!niji_jelly_showcase_2.png\n\nLoRA trained on images trained on from MidJourney's Niji style, specifically the jelly look.\n\nAll image examples are on the dalcefoV3Anime model: URL\n\nI recommend using the LoRA at around 0.8 emphasis for best results.",
"## License\n\nThis embedding is op... | [
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"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us \n# LoRA - niji_jelly\n\n!niji_jelly_showcase_2.png\n\nLoRA trained on images trained on from MidJourney's Niji style, specifically the jelly look.\n\nAll image examples are on the dalcefoV3A... |
4549df85068667acb93e1147adbd7deb859fdb87 | # Dataset Card for "expository_documents_medicine"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nbalepur/expository_documents_medicine | [
"region:us"
] | 2023-01-29T20:16:24+00:00 | {"dataset_info": {"features": [{"name": "aspect", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "web_sentences_with_desc", "sequence": "string"}, {"name": "web_sentences_no_desc", "sequence": "string"}, {"name": "output", "dtype": "string"}, {"name": "output_aug", "dtype": "string"}], "splits": [{"... | 2023-01-29T20:16:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "expository_documents_medicine"
More Information needed | [
"# Dataset Card for \"expository_documents_medicine\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"expository_documents_medicine\"\n\nMore Information needed"
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6,
19
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"passage: TAGS\n#region-us \n# Dataset Card for \"expository_documents_medicine\"\n\nMore Information needed"
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a30bc0a97757fc4a52d85255a78836faeb26e25f |
# Dataset Card for MultiGLUE
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset is a combination of the cola, mrpc, qnli, qqp, rte, sst2, and wnli subsets of the GLUE dataset. Its intended use is to benchmark langua... | MtCelesteMa/multiglue | [
"task_categories:text-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|glue",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-01-29T20:43:51+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|glue"], "task_categories": ["text-classification"], "pretty_name": "MultiGLUE"} | 2023-01-30T17:24:52+00:00 | [] | [
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|
# Dataset Card for MultiGLUE
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
This dataset is a combination of the cola, mrpc, qnli, qqp, rte, sst2, and wnli subsets of the GLUE dataset. Its intended use is to benchmark language models on multita... | [
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# Sakimi-chan LoRA
## Who is Sakimi-chan?
Sakimi-chan is a Canadian artist best known for her digital paintings and unique style. She mainly draws fanart of games and popular characters and creates gifs for her fans with voiceovers.
Patreon: https://www.patreon.com/sakimichan
# Use Cases
The LoRA is in itself very... | Nerfgun3/sakimi-chan_LoRA | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-29T21:01:32+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/sakimi-chan_LoRA/resolve/main/preview/Preview.png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-30T16:32:39+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Sakimi-chan LoRA
## Who is Sakimi-chan?
Sakimi-chan is a Canadian artist best known for her digital paintings and unique style. She mainly draws fanart of games and popular characters and creates gifs for her fans with voiceovers.
Patreon: URL
# Use Cases
The LoRA is in itself very compatible with the most diver... | [
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bd6a8eb56bd2263763221764be6e73cb60e2b952 |
Preprocessed version of Super-Natural-Instructions from https://github.com/allenai/natural-instructions/tree/master/splits. The same inputs may appear with different outputs, thus to avoid duplicate inputs, you can deduplicate by the `id` or the `inputs` field.
This is modified from https://huggingface.co/datasets/Mu... | jayelm/natural-instructions | [
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"multilinguality:monolingual",
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"region:us"
] | 2023-01-29T21:27:10+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<1B"], "task_categories": ["other"]} | 2023-01-29T23:16:06+00:00 | [] | [
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#task_categories-other #annotations_creators-crowdsourced #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-100M<n<1B #language-English #region-us
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Preprocessed version of Super-Natural-Instructions from URL The same inputs may appear with different outputs, thus to avoid duplicate inputs, you can deduplicate by the 'id' or the 'inputs' field.
This is modified from URL
with a few improvements:
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536ef6f0428bdb8fb3c58fa38b5b4e63a492c536 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_350m_Attributes_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_350m_Attributes_ns_6084 | [
"region:us"
] | 2023-01-29T22:53:35+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-30T03:43:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_350m_Attributes_ns_6084"
More Information needed | [
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ffee0ad41979e23ddd690fbe139df623bf1d0ec6 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_1.3b_Attributes_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_1.3b_Attributes_ns_6084 | [
"region:us"
] | 2023-01-29T23:04:46+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-30T04:20:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_1.3b_Attributes_ns_6084"
More Information needed | [
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c997db516b0bf37739237560fba9cb22f0ca1400 |
# MIRACL (sw) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-sw-queries-22-12](https://huggingface.... | Cohere/miracl-sw-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:sw",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:14:56+00:00 | {"annotations_creators": ["expert-generated"], "language": ["sw"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:02:02+00:00 | [] | [
"sw"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Swahili (macrolanguage) #license-apache-2.0 #region-us
| MIRACL (sw) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-sw-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Swahili (macrolanguage) #license-apache-2.0 #region-us \n"
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] |
6c1b4d3cc42deca51c436afdf05a9f4e059843c0 |
# MIRACL (sw) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-sw-queries-22-12](https://huggingface.... | Cohere/miracl-sw-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:sw",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:19:54+00:00 | {"annotations_creators": ["expert-generated"], "language": ["sw"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:02:12+00:00 | [] | [
"sw"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Swahili (macrolanguage) #license-apache-2.0 #region-us
| MIRACL (sw) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-sw-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Swahili (macrolanguage) #license-apache-2.0 #region-us \n"
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] |
b1c2db85560864aedcddb10d329be369368559e6 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_2.7b_Attributes_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_2.7b_Attributes_ns_6084 | [
"region:us"
] | 2023-01-29T23:20:52+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-30T05:20:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_2.7b_Attributes_ns_6084"
More Information needed | [
"# Dataset Card for \"Caltech101_with_background_test_facebook_opt_2.7b_Attributes_ns_6084\"\n\nMore Information needed"
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524a8745a132ec0a671520b33a2fb7722bc5610c |
# MIRACL (bn) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-bn-queries-22-12](https://huggingface.... | Cohere/miracl-bn-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:bn",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:33:44+00:00 | {"annotations_creators": ["expert-generated"], "language": ["bn"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:01:45+00:00 | [] | [
"bn"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Bengali #license-apache-2.0 #region-us
| MIRACL (bn) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-bn-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Bengali #license-apache-2.0 #region-us \n"
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] |
16e4e7e0ac67bc564ad0c41e9821b52696e89fbf |
# MIRACL (bn) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-bn-queries-22-12](https://huggingface.... | Cohere/miracl-bn-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:bn",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:35:54+00:00 | {"annotations_creators": ["expert-generated"], "language": ["bn"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:01:34+00:00 | [] | [
"bn"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Bengali #license-apache-2.0 #region-us
| MIRACL (bn) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-bn-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Bengali #license-apache-2.0 #region-us \n"
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63
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] |
30e91018ad93c86410650a16319d2b445960a646 |
# Dataset Card for glue_augmented_mrpc
## Dataset Description
Augmented MRPC dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_mrpc | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:37:20+00:00 | {"license": "apache-2.0"} | 2023-01-30T14:34:28+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_mrpc
## Dataset Description
Augmented MRPC dataset
Reference: URL | [
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2cfa372e28359bc7e706de2970a020988a259031 |
# MIRACL (hi) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-hi-queries-22-12](https://huggingface.... | Cohere/miracl-hi-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:hi",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:42:57+00:00 | {"annotations_creators": ["expert-generated"], "language": ["hi"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:02:40+00:00 | [] | [
"hi"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Hindi #license-apache-2.0 #region-us
| MIRACL (hi) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-hi-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Hindi #license-apache-2.0 #region-us \n"
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] |
8e1edead5f52cdbb4b326d5a53a8c6a69240d98d |
# MIRACL (hi) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-hi-queries-22-12](https://huggingface.... | Cohere/miracl-hi-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:hi",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:45:55+00:00 | {"annotations_creators": ["expert-generated"], "language": ["hi"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:02:28+00:00 | [] | [
"hi"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Hindi #license-apache-2.0 #region-us
| MIRACL (hi) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-hi-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Hindi #license-apache-2.0 #region-us \n"
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] |
cf4ca0c85b133aeb3f6f1f809808ffaa98981ce8 |
# MIRACL (te) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-te-queries-22-12](https://huggingface.... | Cohere/miracl-te-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:te",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:53:23+00:00 | {"annotations_creators": ["expert-generated"], "language": ["te"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:00:45+00:00 | [] | [
"te"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Telugu #license-apache-2.0 #region-us
| MIRACL (te) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-te-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Telugu #license-apache-2.0 #region-us \n"
] | [
62
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Telugu #license-apache-2.0 #region-us \n"
] |
775adabf10de10ae9f9d802855c259fc6f1c3887 |
# Dataset Card for glue_augmented_cola
## Dataset Description
Augmented COLA dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_cola | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:53:32+00:00 | {"license": "apache-2.0"} | 2023-01-30T00:37:42+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_cola
## Dataset Description
Augmented COLA dataset
Reference: URL | [
"# Dataset Card for glue_augmented_cola",
"## Dataset Description\n\nAugmented COLA dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
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"## Dataset Description\n\nAugmented COLA dataset\n\nReference: URL"
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_cola## Dataset Description\n\nAugmented COLA dataset\n\nReference: URL"
] |
c8dd67fe995641cbbcde40c8bb76e71e8ee85807 |
# Dataset Card for glue_augmented_mnli
## Dataset Description
Augmented MNLI dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_mnli | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:54:07+00:00 | {"license": "apache-2.0"} | 2023-02-03T12:26:58+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_mnli
## Dataset Description
Augmented MNLI dataset
Reference: URL | [
"# Dataset Card for glue_augmented_mnli",
"## Dataset Description\n\nAugmented MNLI dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# Dataset Card for glue_augmented_mnli",
"## Dataset Description\n\nAugmented MNLI dataset\n\nReference: URL"
] | [
14,
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_mnli## Dataset Description\n\nAugmented MNLI dataset\n\nReference: URL"
] |
d081d92c754d312fb81ba3f3584b86d36e060d8b |
# Dataset Card for glue_augmented_qnli
## Dataset Description
Augmented QNLI dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_qnli | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:54:39+00:00 | {"license": "apache-2.0"} | 2023-01-30T14:13:49+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_qnli
## Dataset Description
Augmented QNLI dataset
Reference: URL | [
"# Dataset Card for glue_augmented_qnli",
"## Dataset Description\n\nAugmented QNLI dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
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"## Dataset Description\n\nAugmented QNLI dataset\n\nReference: URL"
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_qnli## Dataset Description\n\nAugmented QNLI dataset\n\nReference: URL"
] |
d0c70968261462fb9061141b343de9450096c4ea |
# Dataset Card for glue_augmented_qqp
## Dataset Description
Augmented QQP dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_qqp | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:55:02+00:00 | {"license": "apache-2.0"} | 2023-02-02T20:12:47+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_qqp
## Dataset Description
Augmented QQP dataset
Reference: URL | [
"# Dataset Card for glue_augmented_qqp",
"## Dataset Description\n\nAugmented QQP dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# Dataset Card for glue_augmented_qqp",
"## Dataset Description\n\nAugmented QQP dataset\n\nReference: URL"
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] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_qqp## Dataset Description\n\nAugmented QQP dataset\n\nReference: URL"
] |
05e151c0051aeac95f1d93f1e69a9f824d3d6189 |
# Dataset Card for glue_augmented_rte
## Dataset Description
Augmented RTE dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_rte | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:55:49+00:00 | {"license": "apache-2.0"} | 2023-01-30T14:26:00+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_rte
## Dataset Description
Augmented RTE dataset
Reference: URL | [
"# Dataset Card for glue_augmented_rte",
"## Dataset Description\n\nAugmented RTE dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
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"## Dataset Description\n\nAugmented RTE dataset\n\nReference: URL"
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_rte## Dataset Description\n\nAugmented RTE dataset\n\nReference: URL"
] |
61f5e05e9df6d6d7704ad5b37f9a8df8c249879a |
# Dataset Card for glue_augmented_sst2
## Dataset Description
Augmented SST-2 dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_sst2 | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:56:12+00:00 | {"license": "apache-2.0"} | 2023-01-30T13:21:43+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_sst2
## Dataset Description
Augmented SST-2 dataset
Reference: URL | [
"# Dataset Card for glue_augmented_sst2",
"## Dataset Description\n\nAugmented SST-2 dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
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"## Dataset Description\n\nAugmented SST-2 dataset\n\nReference: URL"
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_sst2## Dataset Description\n\nAugmented SST-2 dataset\n\nReference: URL"
] |
513812bcca040dd26c4e8da4d700c6b7813929ca |
# MIRACL (te) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-te-queries-22-12](https://huggingface.... | Cohere/miracl-te-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:te",
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:56:46+00:00 | {"annotations_creators": ["expert-generated"], "language": ["te"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:00:55+00:00 | [] | [
"te"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Telugu #license-apache-2.0 #region-us
| MIRACL (te) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-te-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Telugu #license-apache-2.0 #region-us \n"
] | [
62
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Telugu #license-apache-2.0 #region-us \n"
] |
cc8e91e79b0217bf97de2091a16d1851a3adba32 |
# Dataset Card for glue_augmented_stsb
## Dataset Description
Augmented STSB dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_stsb | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:56:49+00:00 | {"license": "apache-2.0"} | 2023-01-30T14:29:39+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for glue_augmented_stsb
## Dataset Description
Augmented STSB dataset
Reference: URL | [
"# Dataset Card for glue_augmented_stsb",
"## Dataset Description\n\nAugmented STSB dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
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"## Dataset Description\n\nAugmented STSB dataset\n\nReference: URL"
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_stsb## Dataset Description\n\nAugmented STSB dataset\n\nReference: URL"
] |
2cb94d7fa71a6705688a0d59ca8d3001ed737fc7 | # Dataset Card for glue_augmented_wnli
## Dataset Description
Augmented WNLI dataset
**Reference:** https://huggingface.co/datasets/glue | gokuls/glue_augmented_wnli | [
"license:apache-2.0",
"region:us"
] | 2023-01-29T23:57:12+00:00 | {"license": "apache-2.0"} | 2023-01-30T14:31:41+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Dataset Card for glue_augmented_wnli
## Dataset Description
Augmented WNLI dataset
Reference: URL | [
"# Dataset Card for glue_augmented_wnli",
"## Dataset Description\n\nAugmented WNLI dataset\n\nReference: URL"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
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"## Dataset Description\n\nAugmented WNLI dataset\n\nReference: URL"
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"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Card for glue_augmented_wnli## Dataset Description\n\nAugmented WNLI dataset\n\nReference: URL"
] |
7f77840b9e5be966850cef99c0e693fb5bd8d5d0 |
# MIRACL (th) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-th-queries-22-12](https://huggingface.... | Cohere/miracl-th-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:th",
"license:apache-2.0",
"region:us"
] | 2023-01-30T00:05:01+00:00 | {"annotations_creators": ["expert-generated"], "language": ["th"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:01:08+00:00 | [] | [
"th"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Thai #license-apache-2.0 #region-us
| MIRACL (th) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-th-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Thai #license-apache-2.0 #region-us \n"
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] |
6a37209aa48318cad10a490be57ce82253fd379b |
# MIRACL (th) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-th-queries-22-12](https://huggingface.... | Cohere/miracl-th-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:th",
"license:apache-2.0",
"region:us"
] | 2023-01-30T00:08:50+00:00 | {"annotations_creators": ["expert-generated"], "language": ["th"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:01:19+00:00 | [] | [
"th"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Thai #license-apache-2.0 #region-us
| MIRACL (th) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-th-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Thai #license-apache-2.0 #region-us \n"
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] |
4e2f204e4eb41d08c1e4c8d2e41066c2e21c67e3 | # Dataset Card for "production-samples-17"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Gabef/production-samples-17 | [
"region:us"
] | 2023-01-30T01:07:58+00:00 | {"dataset_info": {"features": [{"name": "features", "sequence": "float32"}, {"name": "labels", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4142196436, "num_examples": 16560}], "download_size": 4000299254, "dataset_size": 4142196436}} | 2023-01-30T01:42:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "production-samples-17"
More Information needed | [
"# Dataset Card for \"production-samples-17\"\n\nMore Information needed"
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d92b0ba5320361f8ef26042bf822477a56dbd32b |
# Dataset Card for Swiss Court View Generation
## 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... | rcds/swiss_court_view_generation | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:de",
"language:fr",
"language:it",
"license:cc-by-sa-4.0",
"arxiv:2306.09237",
"region:us"
] | 2023-01-30T01:50:28+00:00 | {"language": ["de", "fr", "it"], "license": "cc-by-sa-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "Swiss Court View Generation"} | 2023-07-20T06:35:29+00:00 | [
"2306.09237"
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#task_categories-text-generation #size_categories-100K<n<1M #language-German #language-French #language-Italian #license-cc-by-sa-4.0 #arxiv-2306.09237 #region-us
| Dataset Card for Swiss Court View Generation
============================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Cr... | [
"### Dataset Summary\n\n\nSwiss Court View Generation is a multilingual, diachronic dataset of 404K Swiss Federal Supreme Court (FSCS) cases. This dataset is part of a challenging text generation task.\nThis dataset contains court views for different languages and court chambers. It includes information such as dec... | [
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9e2fc1153948d772bea854cc12333bf0f523ee46 |
# AppStore Rankings Dataset
This is a dataset of AppStore rankings, JP and US, each containing 176 json files of ranking chart information including paid and free.
```
2023-01-30
├─jp
| └─... 176 files
└─us
├─Action - Top Free Games.json
├─Action - Top Paid Games.json
├─Adventure - Top Free ... | p1atdev/appstore | [
"license:cc0-1.0",
"region:us"
] | 2023-01-30T02:32:18+00:00 | {"license": "cc0-1.0"} | 2023-01-30T04:30:58+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# AppStore Rankings Dataset
This is a dataset of AppStore rankings, JP and US, each containing 176 json files of ranking chart information including paid and free.
Example of json file:
| [
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"passage: TAGS\n#license-cc0-1.0 #region-us \n# AppStore Rankings Dataset\n\nThis is a dataset of AppStore rankings, JP and US, each containing 176 json files of ranking chart information including paid and free.\n\n\n\n\nExample of json file:"
] |
1202c05016f8379d970a3f9ae04813aa5cb0d2c2 | # Dataset Card for "binhvq-news"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ademax/binhvq-news-sentence | [
"region:us"
] | 2023-01-30T02:48:47+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26415267562, "num_examples": 141229987}], "download_size": 13799896934, "dataset_size": 26415267562}} | 2023-01-30T03:11:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "binhvq-news"
More Information needed | [
"# Dataset Card for \"binhvq-news\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"binhvq-news\"\n\nMore Information needed"
] |
2b07626eba22fbb8ac936faa385767e06cba6593 | # Dataset Card for DSIR-filtered-pile-50M
## Dataset Description
- **Repository:** https://github.com/p-lambda/dsir
- **Paper:** https://arxiv.org/abs/2302.03169
- **Point of Contact: Sang Michael Xie <xie@cs.stanford.edu>**
### Dataset Summary
This dataset is a subset of The Pile, selected via the DSIR data selec... | stanford-crfm/DSIR-filtered-pile-50M | [
"task_categories:text-generation",
"task_categories:fill-mask",
"size_categories:10M<n<100M",
"language:en",
"license:mit",
"language modeling",
"masked language modeling",
"pretraining",
"pile",
"DSIR",
"arxiv:2302.03169",
"region:us"
] | 2023-01-30T06:09:13+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10M<n<100M"], "task_categories": ["text-generation", "fill-mask"], "tags": ["language modeling", "masked language modeling", "pretraining", "pile", "DSIR"]} | 2023-09-16T13:50:10+00:00 | [
"2302.03169"
] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #size_categories-10M<n<100M #language-English #license-mit #language modeling #masked language modeling #pretraining #pile #DSIR #arxiv-2302.03169 #region-us
| # Dataset Card for DSIR-filtered-pile-50M
## Dataset Description
- Repository: URL
- Paper: URL
- Point of Contact: Sang Michael Xie <xie@URL>
### Dataset Summary
This dataset is a subset of The Pile, selected via the DSIR data selection method. The target distribution for DSIR is the Wikipedia and BookCorpus2 sub... | [
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"## Dataset Description\n\n- Repository: URL\n- Paper: URL\n- Point of Contact: Sang Michael Xie <xie@URL>",
"### Dataset Summary\n\nThis dataset is a subset of The Pile, selected via the DSIR data selection method. The target distribution for DSIR is the Wikipedia a... | [
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c2b995af77956d93c1afbe79edd511645b058239 | EQUATE
EQUATE (Evaluating Quantitative Understanding Aptitude in Textual Entailment) is a new framework for evaluating quantitative reasoning ability in textual entailment. EQUATE consists of five NLI test sets featuring quantities. You can download EQUATE here. Three of these tests for quantitative reasoning feature l... | tasksource/equate | [
"license:apache-2.0",
"region:us"
] | 2023-01-30T08:36:17+00:00 | {"license": "apache-2.0"} | 2023-04-07T08:43:36+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| EQUATE
EQUATE (Evaluating Quantitative Understanding Aptitude in Textual Entailment) is a new framework for evaluating quantitative reasoning ability in textual entailment. EQUATE consists of five NLI test sets featuring quantities. You can download EQUATE here. Three of these tests for quantitative reasoning feature l... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
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1d95b91bfaf233063bc7b5f34447770d04774c4c |
### Dataset Summary
This is a Finnish SQuAD question answering dataset. It is a DeepL -based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in
SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones.
To do we... | TurkuNLP/squad_v2_fi | [
"task_categories:question-answering",
"language:fi",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-30T09:03:27+00:00 | {"language": ["fi"], "license": "cc-by-sa-4.0", "task_categories": ["question-answering"]} | 2023-10-10T18:55:56+00:00 | [] | [
"fi"
] | TAGS
#task_categories-question-answering #language-Finnish #license-cc-by-sa-4.0 #region-us
| ### Dataset Summary
This is a Finnish SQuAD question answering dataset. It is a DeepL -based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in
SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones.
To do well... | [
"### Dataset Summary\n\n\nThis is a Finnish SQuAD question answering dataset. It is a DeepL -based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in\nSQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones.\n... | [
"TAGS\n#task_categories-question-answering #language-Finnish #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nThis is a Finnish SQuAD question answering dataset. It is a DeepL -based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in\nSQuAD1.1 with over 50,0... | [
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9621f16c04599d03bbdb3b777ed7e3bdf92cf8e9 |
# Dataset Card for "alsqa"
## Table of Contents
- [Dataset Card for "alsqa"](#dataset-card-for-alsqa)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- ... | biu-nlp/alsqa | [
"task_categories:question-answering",
"task_categories:text-classification",
"task_ids:open-domain-qa",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:<1000",
"source_datasets:original",
"language:en"... | 2023-01-30T09:22:51+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["<1000"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-classification"], "task_ids": ["open-domain-qa... | 2023-02-15T07:46:52+00:00 | [
"2210.12673"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-classification #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-<1000 #source_datasets-original #language-English #license-apache-2.0 #arxiv-221... | Dataset Card for "alsqa"
========================
Table of Contents
-----------------
* Dataset Card for "alsqa"
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
* squad\_v2
- Data Fields
* squad\_v2
... | [
"### Dataset Summary\n\n\nTo test the lexical overlap heuristic utilization in Reading Comprehension models, we create a new test set: Analyzing Lexically Similar QA (ALSQA).\nWe augment the SQuAD 2.0 dataset (Rajpurkar et al., 2018) by asking crowdworkers to generate questions with high context-overlap from questi... | [
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33e36abe3f5e9e43128ace7cb518c26517905713 |
# MIRACL (ar) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ar-queries-22-12](https://huggingface.... | Cohere/miracl-ar-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ar",
"license:apache-2.0",
"region:us"
] | 2023-01-30T09:45:15+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ar"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:00:08+00:00 | [] | [
"ar"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Arabic #license-apache-2.0 #region-us
| MIRACL (ar) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ar-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Arabic #license-apache-2.0 #region-us \n"
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] |
48083ac51d439fa46656723eee67ce28483bb0d5 |
# MIRACL (ar) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ar-queries-22-12](https://huggingface.... | Cohere/miracl-ar-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ar",
"license:apache-2.0",
"region:us"
] | 2023-01-30T09:57:38+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ar"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T12:00:30+00:00 | [] | [
"ar"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Arabic #license-apache-2.0 #region-us
| MIRACL (ar) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ar-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Arabic #license-apache-2.0 #region-us \n"
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] |
81300ee240953dcb505b786d4220b3ca6a8b060e | https://github.com/Aatlantise/syntactic-augmentation-nli/tree/master/datasets
```
@inproceedings{min-etal-2020-syntactic,
title = "Syntactic Data Augmentation Increases Robustness to Inference Heuristics",
author = "Min, Junghyun and
McCoy, R. Thomas and
Das, Dipanjan and
Pitler, Emily and... | metaeval/syntactic-augmentation-nli | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"language:en",
"license:mit",
"region:us"
] | 2023-01-30T10:35:09+00:00 | {"language": ["en"], "license": "mit", "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"]} | 2023-06-13T06:28:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-natural-language-inference #language-English #license-mit #region-us
| URL
| [] | [
"TAGS\n#task_categories-text-classification #task_ids-natural-language-inference #language-English #license-mit #region-us \n"
] | [
39
] | [
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f7f5588c7b9693db720631375c2f936521f422f6 |
# MIRACL (fa) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-fa-queries-22-12](https://huggingface.... | Cohere/miracl-fa-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:fa",
"license:apache-2.0",
"region:us"
] | 2023-01-30T13:01:02+00:00 | {"annotations_creators": ["expert-generated"], "language": ["fa"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:59:54+00:00 | [] | [
"fa"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Persian #license-apache-2.0 #region-us
| MIRACL (fa) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-fa-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Persian #license-apache-2.0 #region-us \n"
] | [
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] |
1b9394c1f0b75bbbdf85a0c97f91dfe9626d63ac |
# MIRACL (fa) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-fa-queries-22-12](https://huggingface.... | Cohere/miracl-fa-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:fa",
"license:apache-2.0",
"region:us"
] | 2023-01-30T13:12:49+00:00 | {"annotations_creators": ["expert-generated"], "language": ["fa"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:59:41+00:00 | [] | [
"fa"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Persian #license-apache-2.0 #region-us
| MIRACL (fa) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-fa-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Persian #license-apache-2.0 #region-us \n"
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] |
ae94d192bedee3e80b4498ce8e3cf5847c1946d6 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/bioasq-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-30T13:16:21+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-30T13:29:05+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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60f1c3eeea99169106ba08e47dabf28b8ca93704 |
# MIRACL (fi) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-fi-queries-22-12](https://huggingface.... | Cohere/miracl-fi-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:fi",
"license:apache-2.0",
"region:us"
] | 2023-01-30T13:38:46+00:00 | {"annotations_creators": ["expert-generated"], "language": ["fi"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:59:27+00:00 | [] | [
"fi"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Finnish #license-apache-2.0 #region-us
| MIRACL (fi) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-fi-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Finnish #license-apache-2.0 #region-us \n"
] | [
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] |
98feaf5dade7e0a562f823ef12c13bcb44383f01 |
# MIRACL (fi) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-fi-queries-22-12](https://huggingface.... | Cohere/miracl-fi-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:fi",
"license:apache-2.0",
"region:us"
] | 2023-01-30T13:51:11+00:00 | {"annotations_creators": ["expert-generated"], "language": ["fi"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:59:18+00:00 | [] | [
"fi"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Finnish #license-apache-2.0 #region-us
| MIRACL (fi) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-fi-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Finnish #license-apache-2.0 #region-us \n"
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64
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] |
d3a3d994bd952c599726c9c67e9e9a30116fc94e |
# MIRACL (id) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-id-queries-22-12](https://huggingface.... | Cohere/miracl-id-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:id",
"license:apache-2.0",
"region:us"
] | 2023-01-30T14:12:12+00:00 | {"annotations_creators": ["expert-generated"], "language": ["id"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:59:03+00:00 | [] | [
"id"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Indonesian #license-apache-2.0 #region-us
| MIRACL (id) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-id-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Indonesian #license-apache-2.0 #region-us \n"
] | [
63
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"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Indonesian #license-apache-2.0 #region-us \n"
] |
71567d2f4e1ffb3fa5911f441873cd2569c88012 |
# MIRACL (id) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-id-queries-22-12](https://huggingface.... | Cohere/miracl-id-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:id",
"license:apache-2.0",
"region:us"
] | 2023-01-30T14:21:04+00:00 | {"annotations_creators": ["expert-generated"], "language": ["id"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:58:53+00:00 | [] | [
"id"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Indonesian #license-apache-2.0 #region-us
| MIRACL (id) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-id-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Indonesian #license-apache-2.0 #region-us \n"
] | [
63
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"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Indonesian #license-apache-2.0 #region-us \n"
] |
5ce5474b5157a3948c17adda790739969f1eca13 |
# MAESTRO-2004-SYNTH Dataset
This is a synthesized audio dataset using the midi of MAESTRO dataset [https://magenta.tensorflow.org/datasets/maestro].
Audio files are batch-synthesized in REAPER DAW [https://www.reaper.fm/] using superposition of triangle waves, square waves and sinusoid waves. | lucainiao/MAESTRO_2004_SYNTH | [
"license:openrail",
"region:us"
] | 2023-01-30T14:40:18+00:00 | {"license": "openrail"} | 2023-01-30T17:37:34+00:00 | [] | [] | TAGS
#license-openrail #region-us
|
# MAESTRO-2004-SYNTH Dataset
This is a synthesized audio dataset using the midi of MAESTRO dataset [URL
Audio files are batch-synthesized in REAPER DAW [URL using superposition of triangle waves, square waves and sinusoid waves. | [
"# MAESTRO-2004-SYNTH Dataset\n\nThis is a synthesized audio dataset using the midi of MAESTRO dataset [URL\n\nAudio files are batch-synthesized in REAPER DAW [URL using superposition of triangle waves, square waves and sinusoid waves."
] | [
"TAGS\n#license-openrail #region-us \n",
"# MAESTRO-2004-SYNTH Dataset\n\nThis is a synthesized audio dataset using the midi of MAESTRO dataset [URL\n\nAudio files are batch-synthesized in REAPER DAW [URL using superposition of triangle waves, square waves and sinusoid waves."
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"passage: TAGS\n#license-openrail #region-us \n# MAESTRO-2004-SYNTH Dataset\n\nThis is a synthesized audio dataset using the midi of MAESTRO dataset [URL\n\nAudio files are batch-synthesized in REAPER DAW [URL using superposition of triangle waves, square waves and sinusoid waves."
] |
493bad50e227070c5c7323206e0265b44d1771ef | # Dataset Card for "mgb2_audios_transcriptions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | BelalElhossany/mgb2_audios_transcriptions | [
"region:us"
] | 2023-01-30T15:37:03+00:00 | {"dataset_info": {"features": [{"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1181823173.4, "num_examples": 5842}], "download_size": 1141789958, "dataset_size": 1181823173.4}} | 2023-01-30T15:37:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mgb2_audios_transcriptions"
More Information needed | [
"# Dataset Card for \"mgb2_audios_transcriptions\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mgb2_audios_transcriptions\"\n\nMore Information needed"
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e3ff87dfb64f39017e0e49f6555db3273c99261b | # Dataset Card for "Caltech101_with_background_test_facebook_opt_350m_Visclues_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_350m_Visclues_ns_6084 | [
"region:us"
] | 2023-01-30T15:49:35+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-30T20:06:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_350m_Visclues_ns_6084"
More Information needed | [
"# Dataset Card for \"Caltech101_with_background_test_facebook_opt_350m_Visclues_ns_6084\"\n\nMore Information needed"
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1fba51ae9561c992681ce19546a33b7fa7bf2107 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_1.3b_Visclues_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_1.3b_Visclues_ns_6084 | [
"region:us"
] | 2023-01-30T16:07:07+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-31T06:32:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_1.3b_Visclues_ns_6084"
More Information needed | [
"# Dataset Card for \"Caltech101_with_background_test_facebook_opt_1.3b_Visclues_ns_6084\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"Caltech101_with_background_test_facebook_opt_1.3b_Visclues_ns_6084\"\n\nMore Information needed"
] |
5f60de06665fd9a3c6fc7bcb04e9e6e38f2273db |
# MIRACL (ko) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ko-queries-22-12](https://huggingface.... | Cohere/miracl-ko-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ko",
"license:apache-2.0",
"region:us"
] | 2023-01-30T16:21:23+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ko"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:58:37+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Korean #license-apache-2.0 #region-us
| MIRACL (ko) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ko-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Korean #license-apache-2.0 #region-us \n"
] | [
63
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] |
f5ded8fff2ece87d743d8c90da6c0a85149d4588 |
# Dataset Card for "relbert/t_rex_relation_similarity"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/L18-1544/](https://aclanthology.org/L18-1544/)
- **Dataset:** T-REX for relational similarity
## Dataset Summary
This is the clean versi... | relbert/t_rex_relational_similarity | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
] | 2023-01-30T16:30:08+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "pretty_name": "T-REX for relational similarity"} | 2023-05-07T07:54:47+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/t\_rex\_relation\_similarity"
=======================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: T-REX for relational similarity
Dataset Summary
---------------
This is the clean version of T-REX converted into ... | [
"### Data Instances\n\n\nAn example of 'train' looks as follows.",
"### Data Splits"
] | [
"TAGS\n#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us \n",
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] |
037a753c7358589ee9084d7b10c135ab48b52041 |
# MIRACL (ko) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ko-queries-22-12](https://huggingface.... | Cohere/miracl-ko-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ko",
"license:apache-2.0",
"region:us"
] | 2023-01-30T16:31:20+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ko"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:58:15+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Korean #license-apache-2.0 #region-us
| MIRACL (ko) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ko-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Korean #license-apache-2.0 #region-us \n"
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63
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] |
322aabe120fb7ba078852bfb1a83d7c3da525745 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_2.7b_Visclues_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_2.7b_Visclues_ns_6084 | [
"region:us"
] | 2023-01-30T16:31:24+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-02T05:54:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_2.7b_Visclues_ns_6084"
More Information needed | [
"# Dataset Card for \"Caltech101_with_background_test_facebook_opt_2.7b_Visclues_ns_6084\"\n\nMore Information needed"
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] |
7ba7810015c49acc08f0712d46fb72ddb769eb6a | # Dataset Card for "wikipedia.SVO"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.SVO | [
"region:us"
] | 2023-01-30T16:43:48+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6543464364, "num_examples": 4003741}], "download_size": 2591178685, "dataset_size": 6543464364}} | 2023-01-30T21:01:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia.SVO"
More Information needed | [
"# Dataset Card for \"wikipedia.SVO\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"wikipedia.SVO\"\n\nMore Information needed"
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49630e4a9e4023a85bac2a268b46c6f5f62b0382 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_350m_Attributes_Caption_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_350m_Attributes_Caption_ns_6084 | [
"region:us"
] | 2023-01-30T16:44:54+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-02T04:52:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_350m_Attributes_Caption_ns_6084"
More Information needed | [
"# Dataset Card for \"Caltech101_with_background_test_facebook_opt_350m_Attributes_Caption_ns_6084\"\n\nMore Information needed"
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f709d322d568879e9d088e6c99e24252f3d7287d | # Dataset Card for "Caltech101_with_background_test_facebook_opt_1.3b_Attributes_Caption_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_1.3b_Attributes_Caption_ns_6084 | [
"region:us"
] | 2023-01-30T16:57:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-31T08:09:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_1.3b_Attributes_Caption_ns_6084"
More Information needed | [
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dd77e1c9e414af05759a57936b0a28a6aec8b945 | # AutoTrain Dataset for project: ssip2
## Dataset Description
This dataset has been automatically processed by AutoTrain for project ssip2.
### 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
[
{
"ima... | kripsjaviya/autotrain-data-ssip2 | [
"task_categories:image-classification",
"region:us"
] | 2023-01-30T17:07:34+00:00 | {"task_categories": ["image-classification"]} | 2023-01-30T19:23:51+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: ssip2
====================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project ssip2.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Instan... | [
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"passage: TAGS\n#task_categories-image-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 cal... |
238f127dbe0778ed300ec807012f7883e368bb77 | # Dataset Card for "Caltech101_with_background_test_facebook_opt_2.7b_Attributes_Caption_ns_6084"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_2.7b_Attributes_Caption_ns_6084 | [
"region:us"
] | 2023-01-30T17:17:55+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-02-02T05:31:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_with_background_test_facebook_opt_2.7b_Attributes_Caption_ns_6084"
More Information needed | [
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9824832fc36e3f2837130b814cb1f3c345014b03 |
Manually created seed dataset used in bootstrapping in the Self-instruct paper https://arxiv.org/abs/2212.10560. This is part of the instruction fine-tuning datasets. | nazneen/self-instruct-seed | [
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"arxiv:2212.10560",
"region:us"
] | 2023-01-30T18:16:12+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["conversational"]} | 2023-01-30T18:21:07+00:00 | [
"2212.10560"
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"en"
] | TAGS
#task_categories-conversational #size_categories-n<1K #language-English #license-apache-2.0 #arxiv-2212.10560 #region-us
|
Manually created seed dataset used in bootstrapping in the Self-instruct paper URL This is part of the instruction fine-tuning datasets. | [] | [
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0cd58675cd4f234b23423b6dd81173197e7bfbf0 | # Dataset Card for "wikipedia.VOS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.VOS | [
"region:us"
] | 2023-01-30T18:45:44+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6595233500, "num_examples": 4035672}], "download_size": 4574322349, "dataset_size": 6595233500}} | 2023-01-30T22:20:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia.VOS"
More Information needed | [
"# Dataset Card for \"wikipedia.VOS\"\n\nMore Information needed"
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20844442dda6d3b603eebf85a07a9f5fe21b285c | # Dataset Card for "wikipedia.OSV"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/wikipedia.OSV | [
"region:us"
] | 2023-01-30T18:46:08+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6595233500, "num_examples": 4035672}], "download_size": 644339821, "dataset_size": 6595233500}} | 2023-01-30T22:42:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia.OSV"
More Information needed | [
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f7a6dae3d36d6f8ac9890a20730ce41489300b20 | # Dataset Card for "Ethiopian-foods"
### The dataset contains images of the following Ethiopian foods collected from social medias
* Beyaynetu (በያይነቱ)
* Chechebsa (ጨጨብሳ)
* Doro Wat (ዶሮ ወጥ)
* Fir-fir (ፍርፍር)
* Genfo (ገንፎ)
* Kikil (ቅቅል)
* Kitfo (ክትፎ)
* Shekla Tibs (ሸክላ ጥብስ)
* Shiro Wat (ሽሮ ወጥ)
* Tihlo (ጥህሎ)
* Tire Siga(ጥ... | Tinsae/Ethiopian-foods | [
"region:us"
] | 2023-01-30T19:52:39+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 278017824.86, "num_examples": 1097}], "download_size": 271567376, "dataset_size": 278017824.86}} | 2023-01-31T15:25:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Ethiopian-foods"
### The dataset contains images of the following Ethiopian foods collected from social medias
* Beyaynetu (በያይነቱ)
* Chechebsa (ጨጨብሳ)
* Doro Wat (ዶሮ ወጥ)
* Fir-fir (ፍርፍር)
* Genfo (ገንፎ)
* Kikil (ቅቅል)
* Kitfo (ክትፎ)
* Shekla Tibs (ሸክላ ጥብስ)
* Shiro Wat (ሽሮ ወጥ)
* Tihlo (ጥህሎ)
* Tire Siga(ጥ... | [
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0717c496e0c5ce02f3af6ffaed507b0285a24b03 | PUPPYSTYLE POV V1.4 | Druogsala/Starblazer | [
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#region-us
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67eb17475a4da720abfc5d122c515f3fb3a7670b | ---
language_creators:
- other
license:
- mit
multilinguality:
- monolingual
pretty_name: narrative-arc
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids: []
---
# Dataset Card for [narrative-arc]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset ... | vanderbilt-dsi/narrative-arc | [
"license:mit",
"region:us"
] | 2023-01-30T20:33:01+00:00 | {"license": "mit"} | 2023-02-27T18:28:44+00:00 | [] | [] | TAGS
#license-mit #region-us
| ---
language_creators:
- other
license:
- mit
multilinguality:
- monolingual
pretty_name: narrative-arc
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids: []
---
# Dataset Card for [narrative-arc]
## Table of Contents
- Table of Contents
- Dataset Description
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aebd83e45196cb2a9b2c8408a3dea61bbbbeebec | # Dataset Card for "relbert/conceptnet"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://home.ttic.edu/~kgimpel/commonsense.html](https://home.ttic.edu/~kgimpel/commonsense.html)
- **Dataset:** High Confidence Subset of ConceptNet for link prediction
### Da... | relbert/conceptnet | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
] | 2023-01-30T21:16:07+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "pretty_name": "relbert/conceptnet"} | 2023-03-31T09:34:46+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/conceptnet"
=====================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: High Confidence Subset of ConceptNet for link prediction
### Dataset Summary
The selected subset of ConceptNet used in this work.
We removed 'NotCapab... | [
"### Dataset Summary\n\n\nThe selected subset of ConceptNet used in this work.\nWe removed 'NotCapableOf' and 'NotDesires' to keep the positive relation only.\nWe consider the original test set as test set, dev1 as the training set, and dev2 as the validation set.\n\n\n* Number of instances\n\n\n\n* Number of pairs... | [
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b538c6e111914a812af28ff677f8cffc9b404b7d |
# Dataset Card for AfriSpeech-200
## Table of Contents
- [Dataset Card for AfriSpeech-200](#dataset-card-for-afrispeech-200)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [How to use](#how-to-use)
- [Supported Tasks and ... | tobiolatunji/afrispeech-200 | [
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"source_datasets:original",
"language:en",
"license:cc-by-nc-sa-4.0",
"regio... | 2023-01-30T22:34:30+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task... | 2023-11-20T09:20:34+00:00 | [] | [
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| Dataset Card for AfriSpeech-200
===============================
Table of Contents
-----------------
* Dataset Card for AfriSpeech-200
+ Table of Contents
+ Dataset Description
- Dataset Summary
- How to use
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fie... | [
"### Dataset Summary\n\n\nAFRISPEECH-200 is a 200hr Pan-African speech corpus for clinical and general domain English accented ASR; a dataset with 120 African accents from 13 countries and 2,463 unique African speakers.\nOur goal is to raise awareness for and advance Pan-African English ASR research, especially for... | [
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1d669c58c956ddf71dfc6ce124a9a5fb9b7010e7 | # Dataset Card for "wake_word_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AMead10/wake_word_dataset | [
"region:us"
] | 2023-01-30T23:35:28+00:00 | {"dataset_info": {"features": [{"name": "audio", "sequence": "float32"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 205075232, "num_examples": 1602}, {"name": "test", "num_bytes": 22786140, "num_examples": 178}], "download_size": 98516339, "dataset_size": 227861372}} | 2023-01-30T23:38:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wake_word_dataset"
More Information needed | [
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edaadb7cbdfea86a4b62a795821e5b87c9d5d77b |
# TinaFate LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: ```skistyle```.
I would suggest using the token with AbyssOrangeMix2, but not with Kenshi, since I got be... | Nerfgun3/tinafate_LoRA | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-30T23:45:36+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/tinafate_LoRA/resolve/main/preview/preview%20(1).png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-31T00:12:56+00:00 | [] | [
"en"
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#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# TinaFate LoRA
# Use Cases
The LoRA is in itself very compatible with the most diverse model. However, it is most effective when used with Kenshi or AbyssOrangeMix2.
The LoRA itself was trained with the token: .
I would suggest using the token with AbyssOrangeMix2, but not with Kenshi, since I got better results t... | [
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a44fea504f93d41a7ab8b88fd0cde204e055b5fd | # Dataset Card for "cc100_fixed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | grosenthal/cc100_fixed | [
"region:us"
] | 2023-01-31T00:58:04+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1138972730, "num_examples": 9330038}], "download_size": 810300983, "dataset_size": 1138972730}} | 2023-01-31T00:58:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cc100_fixed"
More Information needed | [
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fec3b5c747b92c81400b2afb0c2c2944a50cf3c9 |
# MIRACL (es) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-es-queries-22-12](https://huggingface.... | Cohere/miracl-es-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:es",
"license:apache-2.0",
"region:us"
] | 2023-01-31T01:40:24+00:00 | {"annotations_creators": ["expert-generated"], "language": ["es"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:57:58+00:00 | [] | [
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| MIRACL (es) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-es-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
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] |
d8221c773420c5fd56251b65a9a51d9e7ae3f67f | # Dataset Card for "book_audio"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ykleeee/book_audio | [
"region:us"
] | 2023-01-31T01:59:45+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}], "splits": [{"name": "train", "num_bytes": 232165449.836, "num_examples": 2221}], "download_size": 214622915, "dataset_size": 232165449.836}} | 2023-01-31T02:13:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "book_audio"
More Information needed | [
"# Dataset Card for \"book_audio\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"book_audio\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"book_audio\"\n\nMore Information needed"
] |
6ac09408d660087d24c07b4459cb97ca0df1e962 |
# MIRACL (es) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-es-queries-22-12](https://huggingface.... | Cohere/miracl-es-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:es",
"license:apache-2.0",
"region:us"
] | 2023-01-31T03:06:41+00:00 | {"annotations_creators": ["expert-generated"], "language": ["es"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:57:49+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Spanish #license-apache-2.0 #region-us
| MIRACL (es) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-es-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Spanish #license-apache-2.0 #region-us \n"
] | [
63
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Spanish #license-apache-2.0 #region-us \n"
] |
d1f840597b120e3733b4c815d1dfb37d6d760f20 | # Dataset Card for "clothes_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chiHang/clothes_dataset | [
"region:us"
] | 2023-01-31T03:17:45+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 230456480.0, "num_examples": 64}], "download_size": 226942310, "dataset_size": 230456480.0}} | 2023-01-31T06:33:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clothes_dataset"
More Information needed | [
"# Dataset Card for \"clothes_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"clothes_dataset\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"clothes_dataset\"\n\nMore Information needed"
] |
74c3fbd6f49c407f3b2ff20c902420eef59ee559 | # Dataset Card for "cc_raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Chris5Lin/cc_raw | [
"region:us"
] | 2023-01-31T03:34:29+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37, "num_examples": 4}], "download_size": 524, "dataset_size": 37}} | 2023-02-16T09:09:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cc_raw"
More Information needed | [
"# Dataset Card for \"cc_raw\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cc_raw\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cc_raw\"\n\nMore Information needed"
] |
3b85f34c8dd18325c323bd3a7853d3fd8b659cca | # Dataset Card for "diffusion_db_10k_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | calvegh/diffusion_db_10k_processed | [
"region:us"
] | 2023-01-31T03:51:48+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_txt", "dtype": "string"}, {"name": "topic_keywords", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2762536, "num_examples": 8571}], "download_size": 647051, "dataset_size": 2762536}} | 2023-02-01T04:38:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "diffusion_db_10k_processed"
More Information needed | [
"# Dataset Card for \"diffusion_db_10k_processed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"diffusion_db_10k_processed\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"diffusion_db_10k_processed\"\n\nMore Information needed"
] |
50a437978c402705f4e5f102b89fa89fc6cf0bcb |
SQA3D: Situated Question Answering in 3D Scenes (ICLR 2023, https://arxiv.org/abs/2210.07474)
===
1. Download the [SQA3D dataset](https://zenodo.org/record/7544818/files/sqa_task.zip?download=1) under `assets/data/`. The following files should be used:
```
./assets/data/sqa_task/balanced/*
./assets/data/sqa_tas... | jeasinema/SQA3D | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"license:cc-by-4.0",
"3D vision",
"embodied AI",
"arxiv:2210.07474",
"region:us"
] | 2023-01-31T04:10:50+00:00 | {"license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "tags": ["3D vision", "embodied AI"]} | 2023-01-31T04:18:56+00:00 | [
"2210.07474"
] | [] | TAGS
#task_categories-question-answering #size_categories-10K<n<100K #license-cc-by-4.0 #3D vision #embodied AI #arxiv-2210.07474 #region-us
|
SQA3D: Situated Question Answering in 3D Scenes (ICLR 2023, URL
===
1. Download the SQA3D dataset under 'assets/data/'. The following files should be used:
2. The dataset has been splited into 'train', 'val' and 'test'. For each category, we offer both question file, ex. 'v1_balanced_questions_train_scannetv2.jso... | [] | [
"TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #license-cc-by-4.0 #3D vision #embodied AI #arxiv-2210.07474 #region-us \n"
] | [
57
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #license-cc-by-4.0 #3D vision #embodied AI #arxiv-2210.07474 #region-us \n"
] |
605715eba55ec803e00fbb5904994b9cf002540a |
# MIRACL (fr) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-fr-queries-22-12](https://huggingface.... | Cohere/miracl-fr-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:fr",
"license:apache-2.0",
"region:us"
] | 2023-01-31T06:02:06+00:00 | {"annotations_creators": ["expert-generated"], "language": ["fr"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:57:34+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-French #license-apache-2.0 #region-us
| MIRACL (fr) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-fr-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-French #license-apache-2.0 #region-us \n"
] | [
64
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-French #license-apache-2.0 #region-us \n"
] |
0f1f43da25df6b525956eba743c53769f71ce581 |
# Disclaimer
All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder.
# How to use
```bash
from datasets import load_dataset
dataset = load_dataset("VESSL/Bored_Ape_NFT_text")
```
# Data Field
image = binary image file and path
text = auto generat... | VESSL/Bored_Ape_NFT_text | [
"task_categories:text-to-image",
"size_categories:1K<n<10K",
"license:apache-2.0",
"region:us"
] | 2023-01-31T06:43:51+00:00 | {"license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-to-image"], "pretty_name": "text_to_bayc_image", "source_dataset": "https://opensea.io/collection/boredapeyachtclub c 2021 Yuga Labs LLC"} | 2023-02-07T05:51:25+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-1K<n<10K #license-apache-2.0 #region-us
|
# Disclaimer
All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder.
# How to use
# Data Field
image = binary image file and path
text = auto generated prompt for image
& Information
@InProceedings{VESSL,\
author={Jinpil Choi}\
year=20... | [
"# Disclaimer\nAll rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder.",
"# How to use",
"# Data Field\n\nimage = binary image file and path \ntext = auto generated prompt for image\n\n& Information \n@InProceedings{VESSL,\\\n author={Jinpil... | [
"TAGS\n#task_categories-text-to-image #size_categories-1K<n<10K #license-apache-2.0 #region-us \n",
"# Disclaimer\nAll rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder.",
"# How to use",
"# Data Field\n\nimage = binary image file and path \... | [
38,
30,
4,
47,
4
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-1K<n<10K #license-apache-2.0 #region-us \n# Disclaimer\nAll rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder.# How to use# Data Field\n\nimage = binary image file and path \ntext = a... |
5349b6de37f401be613aaf5c2b8c89bf03f40ac2 | # Dataset Card for "processed_bert_dataset_version_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Poulami/processed_bert_dataset_version_1 | [
"region:us"
] | 2023-01-31T06:54:06+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 24027526800.0, "num_examples": 6674313}], "download_s... | 2023-01-31T07:33:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_bert_dataset_version_1"
More Information needed | [
"# Dataset Card for \"processed_bert_dataset_version_1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"processed_bert_dataset_version_1\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"processed_bert_dataset_version_1\"\n\nMore Information needed"
] |
460264d95705c0721e7dd0fb054fcfa56cf277ff |
# MIRACL (fr) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-fr-queries-22-12](https://huggingface.... | Cohere/miracl-fr-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:fr",
"license:apache-2.0",
"region:us"
] | 2023-01-31T07:18:50+00:00 | {"annotations_creators": ["expert-generated"], "language": ["fr"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:57:25+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-French #license-apache-2.0 #region-us
| MIRACL (fr) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-fr-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-French #license-apache-2.0 #region-us \n"
] | [
64
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-French #license-apache-2.0 #region-us \n"
] |
f437432b2641fa8cf1a57e1c01cc3c3530050ede | Translation of bias evaluation framework of May et al. (2019) from [this repository](https://github.com/W4ngatang/sent-bias) and [this paper](https://arxiv.org/abs/1903.10561) into Turkish. There is a total of 37 tests including tests addressing gender-bias as well as tests designed to evaluate the ethnic bias toward K... | orhunc/Bias-Evaluation-Turkish | [
"language:tr",
"arxiv:1903.10561",
"region:us"
] | 2023-01-31T07:46:27+00:00 | {"language": ["tr"]} | 2023-03-10T12:54:35+00:00 | [
"1903.10561"
] | [
"tr"
] | TAGS
#language-Turkish #arxiv-1903.10561 #region-us
| Translation of bias evaluation framework of May et al. (2019) from this repository and this paper into Turkish. There is a total of 37 tests including tests addressing gender-bias as well as tests designed to evaluate the ethnic bias toward Kurdish people in Türkiye context.
Abstract of the paper:
While the growing s... | [] | [
"TAGS\n#language-Turkish #arxiv-1903.10561 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#language-Turkish #arxiv-1903.10561 #region-us \n"
] |
f514a4d85a2c560ed24c17b14a4d1b0c225bc6ef |
# MIRACL (ja) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ja-queries-22-12](https://huggingface.... | Cohere/miracl-ja-corpus-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ja",
"license:apache-2.0",
"region:us"
] | 2023-01-31T08:42:35+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ja"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:57:11+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Japanese #license-apache-2.0 #region-us
| MIRACL (ja) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ja-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Japanese #license-apache-2.0 #region-us \n"
] | [
64
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Japanese #license-apache-2.0 #region-us \n"
] |
d1d18c9bc8bc24f8ee92eacc142cc42c19d14905 |
Nothing here | oskarspakers/songs | [
"language:lv",
"license:openrail",
"region:us"
] | 2023-01-31T09:01:17+00:00 | {"language": ["lv"], "license": "openrail", "pretty_name": "Songs in latvian"} | 2023-04-28T19:43:51+00:00 | [] | [
"lv"
] | TAGS
#language-Latvian #license-openrail #region-us
|
Nothing here | [] | [
"TAGS\n#language-Latvian #license-openrail #region-us \n"
] | [
18
] | [
"passage: TAGS\n#language-Latvian #license-openrail #region-us \n"
] |
5fcfc107f41b705395ba07ecc14fe5ce0f61eb93 |
# MIRACL (ja) embedded with cohere.ai `multilingual-22-12` encoder
We encoded the [MIRACL dataset](https://huggingface.co/miracl) using the [cohere.ai](https://txt.cohere.ai/multilingual/) `multilingual-22-12` embedding model.
The query embeddings can be found in [Cohere/miracl-ja-queries-22-12](https://huggingface.... | Cohere/miracl-ja-queries-22-12 | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:ja",
"license:apache-2.0",
"region:us"
] | 2023-01-31T09:20:40+00:00 | {"annotations_creators": ["expert-generated"], "language": ["ja"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "tags": []} | 2023-02-06T11:57:00+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Japanese #license-apache-2.0 #region-us
| MIRACL (ja) embedded with URL 'multilingual-22-12' encoder
==========================================================
We encoded the MIRACL dataset using the URL 'multilingual-22-12' embedding model.
The query embeddings can be found in Cohere/miracl-ja-queries-22-12 and the corpus embeddings can be found in Cohere... | [] | [
"TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Japanese #license-apache-2.0 #region-us \n"
] | [
64
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_ids-document-retrieval #annotations_creators-expert-generated #multilinguality-multilingual #language-Japanese #license-apache-2.0 #region-us \n"
] |
d70fb77f22f731eea22b50eb51fb5cca9f48efa3 | BIG-Bench but it doesn't require the hellish dependencies (tensorflow, pypi-bigbench, protobuf) of the official version.
```python
dataset = load_dataset("tasksource/bigbench",'movie_recommendation')
```
Code to reproduce:
https://colab.research.google.com/drive/1MKdLdF7oqrSQCeavAcsEnPdI85kD0LzU?usp=sharing
Datasets a... | tasksource/bigbench | [
"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:text-classification",
"task_categories:text-generation",
"task_categories:zero-shot-classification",
"task_ids:multiple-choice-qa",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"task_ids:closed-domain-q... | 2023-01-31T10:44:51+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated", "machine-generated", "other"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["multilingual", "monolingual"], "size_categories": ["unknown"], "source_datasets... | 2023-05-11T13:08:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-multiple-choice #task_categories-question-answering #task_categories-text-classification #task_categories-text-generation #task_categories-zero-shot-classification #task_ids-multiple-choice-qa #task_ids-extractive-qa #task_ids-open-domain-qa #task_ids-closed-domain-qa #task_ids-fact-checking #task... | BIG-Bench but it doesn't require the hellish dependencies (tensorflow, pypi-bigbench, protobuf) of the official version.
Code to reproduce:
URL
Datasets are capped to 50k examples to keep things light.
I also removed the default split when train was available also to save space, as default=train+val.
| [] | [
"TAGS\n#task_categories-multiple-choice #task_categories-question-answering #task_categories-text-classification #task_categories-text-generation #task_categories-zero-shot-classification #task_ids-multiple-choice-qa #task_ids-extractive-qa #task_ids-open-domain-qa #task_ids-closed-domain-qa #task_ids-fact-checking... | [
329
] | [
"passage: TAGS\n#task_categories-multiple-choice #task_categories-question-answering #task_categories-text-classification #task_categories-text-generation #task_categories-zero-shot-classification #task_ids-multiple-choice-qa #task_ids-extractive-qa #task_ids-open-domain-qa #task_ids-closed-domain-qa #task_ids-fact... |
eacc0c3fbf2afba936044cf413fd318c515c8d7a | # Dataset Card for "Wikipedia_5gram_less_orders"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lshowway/Wikipedia_5gram_less_orders | [
"region:us"
] | 2023-01-31T11:00:34+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3754120542, "num_examples": 1893405}], "download_size": 2356370630, "dataset_size": 3754120542}} | 2023-02-01T22:13:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wikipedia_5gram_less_orders"
More Information needed | [
"# Dataset Card for \"Wikipedia_5gram_less_orders\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Wikipedia_5gram_less_orders\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Wikipedia_5gram_less_orders\"\n\nMore Information needed"
] |
eb2a278003b6d738f2818c13620f93f12467d011 | # Dataset Card for "boostcamp-docvqa-v3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ssunbell/boostcamp-docvqa-v3 | [
"region:us"
] | 2023-01-31T11:08:02+00:00 | {"dataset_info": {"features": [{"name": "questionId", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "sequence": {"sequence": {"sequence": {"sequence": "uint8"}}}}, {"name": "docId", "dtype": "int64"}, {"name": "ucsf_document_id", "dtype": "string"}, {"name": "ucsf_document_page_no", "dty... | 2023-01-31T11:18:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "boostcamp-docvqa-v3"
More Information needed | [
"# Dataset Card for \"boostcamp-docvqa-v3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"boostcamp-docvqa-v3\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"boostcamp-docvqa-v3\"\n\nMore Information needed"
] |
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