sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d2c08ffc06f0201d866cbac043e89a518f3474e3 | # Dataset Card for "rebecca_morris"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Chunt0/rebecca_morris | [
"region:us"
] | 2023-11-08T01:31:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 65952378.0, "num_examples": 125}], "download_size": 62173195, "dataset_... | 2023-11-08T03:16:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rebecca_morris"
More Information needed | [
"# Dataset Card for \"rebecca_morris\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"rebecca_morris\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"rebecca_morris\"\n\nMore Information needed"
] |
c66ca9d39f85278dce83c98b4c4212f9a1d0fcc8 | # Dataset Card for "emrqaQA_risk_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/emrqaQA_risk_train | [
"region:us"
] | 2023-11-08T01:54:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}... | 2023-11-08T01:58:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emrqaQA_risk_train"
More Information needed | [
"# Dataset Card for \"emrqaQA_risk_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emrqaQA_risk_train\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emrqaQA_risk_train\"\n\nMore Information needed"
] |
8dd8004489e0612ffae161af09b1736b93c780e4 | # Dataset Card for "DocVQA_LayoutLM_features"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sharka/DocVQA_LayoutLM_features | [
"region:us"
] | 2023-11-08T01:56:35+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int64"}, {"name": "bbox", "dtype": {"array2_d": {"shape": [512, 4], "dtype": "int64"}}}, {"name": "attention_mask", "sequence": "int64"}, {"name": "image", "dtype": {"array3_d": {"shape": [3, 224, 224], "dtype": "int64"}}}, {"name": "start_positions", "d... | 2023-11-08T02:12:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DocVQA_LayoutLM_features"
More Information needed | [
"# Dataset Card for \"DocVQA_LayoutLM_features\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"DocVQA_LayoutLM_features\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"DocVQA_LayoutLM_features\"\n\nMore Information needed"
] |
e8c6fa3747b3207aa8d643a907884365fe5b171b | # Dataset Card for "emrqaQA_relation_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/emrqaQA_relation_train | [
"region:us"
] | 2023-11-08T01:57:39+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]... | 2023-11-08T01:57:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emrqaQA_relation_train"
More Information needed | [
"# Dataset Card for \"emrqaQA_relation_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emrqaQA_relation_train\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emrqaQA_relation_train\"\n\nMore Information needed"
] |
113fa2aef5f8138617664d2195e351d7c8e61601 | # Dataset Card for "emrqaQA_risk_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/emrqaQA_risk_test | [
"region:us"
] | 2023-11-08T02:01:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "text", "dtype": "string"}, {"name"... | 2023-11-08T02:01:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emrqaQA_risk_test"
More Information needed | [
"# Dataset Card for \"emrqaQA_risk_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emrqaQA_risk_test\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emrqaQA_risk_test\"\n\nMore Information needed"
] |
00218ebf05294952e0b96554667caeecca272573 | # Dataset Card for "emrqaQA_relation_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/emrqaQA_relation_test | [
"region:us"
] | 2023-11-08T02:01:33+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "text", "dtype": "string"}, {"name... | 2023-11-08T02:01:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emrqaQA_relation_test"
More Information needed | [
"# Dataset Card for \"emrqaQA_relation_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emrqaQA_relation_test\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emrqaQA_relation_test\"\n\nMore Information needed"
] |
e7d715420ea60f825f0ae467ed3139e2b4d47062 | # Dataset Card for "emrqaQA_medication_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/emrqaQA_medication_test | [
"region:us"
] | 2023-11-08T02:01:50+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "text", "dtype": "string"}, {"name"... | 2023-11-08T02:01:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emrqaQA_medication_test"
More Information needed | [
"# Dataset Card for \"emrqaQA_medication_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emrqaQA_medication_test\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emrqaQA_medication_test\"\n\nMore Information needed"
] |
56585dec5a2885405dd845eb51eb8bdbf8faf39b | # Dataset Card for "meta_math_meta_math_qa_50k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dim/meta_math_meta_math_qa_50k | [
"region:us"
] | 2023-11-08T02:13:30+00:00 | {"dataset_info": {"features": [{"name": "type", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36521241.01265823, "num_examples": 50000}], "download_size": 17896236, "dataset_size": 36521241.01265823}, "configs": [{"config_na... | 2023-11-08T13:16:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "meta_math_meta_math_qa_50k"
More Information needed | [
"# Dataset Card for \"meta_math_meta_math_qa_50k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"meta_math_meta_math_qa_50k\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"meta_math_meta_math_qa_50k\"\n\nMore Information needed"
] |
795f56275d3a4305f20a7c571a1c9b779b38f302 |
# Dataset Card for Evaluation run of TheBloke/guanaco-33B-GPTQ
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/TheBloke/guanaco-33B-GPTQ
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dat... | open-llm-leaderboard/details_TheBloke__guanaco-33B-GPTQ | [
"region:us"
] | 2023-11-08T02:14:57+00:00 | {"pretty_name": "Evaluation run of TheBloke/guanaco-33B-GPTQ", "dataset_summary": "Dataset automatically created during the evaluation run of model [TheBloke/guanaco-33B-GPTQ](https://huggingface.co/TheBloke/guanaco-33B-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard... | 2023-11-08T02:15:06+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of TheBloke/guanaco-33B-GPTQ
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model TheBloke/guanaco-33B-GPTQ on the Open LLM Leaderb... | [
"# Dataset Card for Evaluation run of TheBloke/guanaco-33B-GPTQ",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model TheBloke/guanaco-33B-GPTQ on ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of TheBloke/guanaco-33B-GPTQ",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model TheB... | [
6,
22,
31,
171,
66,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
5
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of TheBloke/guanaco-33B-GPTQ## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL### Dataset Summary\n\nDataset automatically created during the evaluation run of model TheBloke/guan... |
2878f2cc68c9f95ba9d4fdb36bb0bcf35a289eae | # Dataset Card for "lmsys_chatbot_arena_conversations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dim/lmsys_chatbot_arena_conversations | [
"region:us"
] | 2023-11-08T02:26:33+00:00 | {"dataset_info": {"features": [{"name": "question_id", "dtype": "string"}, {"name": "model_a", "dtype": "string"}, {"name": "model_b", "dtype": "string"}, {"name": "winner", "dtype": "string"}, {"name": "judge", "dtype": "string"}, {"name": "conversation_a", "list": [{"name": "content", "dtype": "string"}, {"name": "ro... | 2023-11-08T02:26:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lmsys_chatbot_arena_conversations"
More Information needed | [
"# Dataset Card for \"lmsys_chatbot_arena_conversations\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lmsys_chatbot_arena_conversations\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"lmsys_chatbot_arena_conversations\"\n\nMore Information needed"
] |
f903ba67d1757421832e3b2e9b298aad2db613d8 | # Dataset Card for "ubuntu_irc_kummerfeld_ft_20_window_last_5_pseudo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | timyangyazhou/ubuntu_irc_kummerfeld_ft_20_window_last_5_pseudo | [
"region:us"
] | 2023-11-08T02:32:01+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "dev", "path": "data/dev-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "canon_name", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "parents", "sequence... | 2023-11-18T11:05:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ubuntu_irc_kummerfeld_ft_20_window_last_5_pseudo"
More Information needed | [
"# Dataset Card for \"ubuntu_irc_kummerfeld_ft_20_window_last_5_pseudo\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ubuntu_irc_kummerfeld_ft_20_window_last_5_pseudo\"\n\nMore Information needed"
] | [
6,
32
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ubuntu_irc_kummerfeld_ft_20_window_last_5_pseudo\"\n\nMore Information needed"
] |
2d6c79c4f81791c3687035da63cabc33ea569800 | # Dataset Card for "lmsys_chatbot_arena_conversations_gpt4_gpt-3.5-turbo_claudy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dim/lmsys_chatbot_arena_conversations_gpt4_gpt35turbo_claudy | [
"region:us"
] | 2023-11-08T02:39:58+00:00 | {"dataset_info": {"features": [{"name": "question_id", "dtype": "string"}, {"name": "model_a_b", "dtype": "string"}, {"name": "conversation", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "model_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1702... | 2023-11-08T02:40:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lmsys_chatbot_arena_conversations_gpt4_gpt-3.5-turbo_claudy"
More Information needed | [
"# Dataset Card for \"lmsys_chatbot_arena_conversations_gpt4_gpt-3.5-turbo_claudy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lmsys_chatbot_arena_conversations_gpt4_gpt-3.5-turbo_claudy\"\n\nMore Information needed"
] | [
6,
37
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"lmsys_chatbot_arena_conversations_gpt4_gpt-3.5-turbo_claudy\"\n\nMore Information needed"
] |
913f8c9b2b0fa2699b6cfacfed99a5b8eddc3a8b | # Dataset Card for "norquinal_claude_multiround_chat_30k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dim/norquinal_claude_multiround_chat_30k | [
"region:us"
] | 2023-11-08T02:43:09+00:00 | {"dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 176848427, "num_examples": 32170}], "download_size": 95127719, "dataset_size": 176848427}, "configs... | 2023-11-08T02:43:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "norquinal_claude_multiround_chat_30k"
More Information needed | [
"# Dataset Card for \"norquinal_claude_multiround_chat_30k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"norquinal_claude_multiround_chat_30k\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"norquinal_claude_multiround_chat_30k\"\n\nMore Information needed"
] |
527f7beb52a03d2e6df2d28779ae0e48441b8859 | # Dataset Card for "quran_hasanat_hadith_datasets0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kheder/quran_hasanat_hadith_datasets0 | [
"region:us"
] | 2023-11-08T02:50:19+00:00 | {"dataset_info": {"features": [{"name": "who-i-am", "dtype": "string"}, {"name": "quran/hasanat", "list": [{"name": "id", "dtype": "int64"}, {"name": "name", "dtype": "string"}, {"name": "total_hasanat", "dtype": "int64"}, {"name": "total_verses", "dtype": "int64"}, {"name": "translation", "dtype": "string"}, {"name": ... | 2023-11-08T02:50:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quran_hasanat_hadith_datasets0"
More Information needed | [
"# Dataset Card for \"quran_hasanat_hadith_datasets0\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"quran_hasanat_hadith_datasets0\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"quran_hasanat_hadith_datasets0\"\n\nMore Information needed"
] |
778da3e3651a5f41040a20fe45cbe77809f45f13 | # Dataset Card for "validation_2000_cutoff_llama_first10results"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rewcifer/validation_2000_cutoff_llama_first10results | [
"region:us"
] | 2023-11-08T02:52:24+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "generated_texts", "dtype": "string"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 82377, "num_examples": 10}], "download_size": 38297, "dataset_size": 82377}, "configs": [{"config_name": "default", "data... | 2023-11-08T02:52:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "validation_2000_cutoff_llama_first10results"
More Information needed | [
"# Dataset Card for \"validation_2000_cutoff_llama_first10results\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"validation_2000_cutoff_llama_first10results\"\n\nMore Information needed"
] | [
6,
28
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"validation_2000_cutoff_llama_first10results\"\n\nMore Information needed"
] |
35af890b44371d287bae41a0c3ece8cb673b93cf | # About
This dataset is for detecting the drivable area and lane lines on the roads. Images are generated using stable diffusion model and images are annotated using labelme annotator.
For more info on the project we worked see this git [repo](https://github.com/balnarendrasapa/road-detection)
# Dataset
The dataset... | bnsapa/road-detection | [
"task_categories:image-to-image",
"size_categories:n<1K",
"license:gpl-3.0",
"region:us"
] | 2023-11-08T02:54:56+00:00 | {"license": "gpl-3.0", "size_categories": ["n<1K"], "task_categories": ["image-to-image"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"... | 2023-11-09T22:07:35+00:00 | [] | [] | TAGS
#task_categories-image-to-image #size_categories-n<1K #license-gpl-3.0 #region-us
| # About
This dataset is for detecting the drivable area and lane lines on the roads. Images are generated using stable diffusion model and images are annotated using labelme annotator.
For more info on the project we worked see this git repo
# Dataset
The dataset is structured into three distinct partitions: Train,... | [
"# About\n\nThis dataset is for detecting the drivable area and lane lines on the roads. Images are generated using stable diffusion model and images are annotated using labelme annotator.\n\nFor more info on the project we worked see this git repo",
"# Dataset\n\nThe dataset is structured into three distinct par... | [
"TAGS\n#task_categories-image-to-image #size_categories-n<1K #license-gpl-3.0 #region-us \n",
"# About\n\nThis dataset is for detecting the drivable area and lane lines on the roads. Images are generated using stable diffusion model and images are annotated using labelme annotator.\n\nFor more info on the project... | [
36,
56,
183,
6
] | [
"passage: TAGS\n#task_categories-image-to-image #size_categories-n<1K #license-gpl-3.0 #region-us \n# About\n\nThis dataset is for detecting the drivable area and lane lines on the roads. Images are generated using stable diffusion model and images are annotated using labelme annotator.\n\nFor more info on the proj... |
7c22a2d7b2459dc1dd8294e29c37bdefa242368e | # Dataset Card for "hubert_layer9-librispeech-asr100h"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cmu-mlsp/hubert_layer9-librispeech-asr100h | [
"region:us"
] | 2023-11-08T02:56:11+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 24000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "audio_codes", "sequen... | 2023-11-10T22:05:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hubert_layer9-librispeech-asr100h"
More Information needed | [
"# Dataset Card for \"hubert_layer9-librispeech-asr100h\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hubert_layer9-librispeech-asr100h\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hubert_layer9-librispeech-asr100h\"\n\nMore Information needed"
] |
b2934295c9ef195abdb54a2cd0c594c814fa3215 | # Dataset Card for "validation_2000_cutoff_llama_formatted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rewcifer/validation_2000_cutoff_llama_formatted | [
"region:us"
] | 2023-11-08T03:05:50+00:00 | {"dataset_info": {"features": [{"name": "labels_and_findings", "dtype": "string"}, {"name": "prompts", "dtype": "string"}, {"name": "true_findings", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 113806806, "num_examples": 14551}], "download_size": 26372198, "dataset_size": 113806806}, "configs": [{"con... | 2023-11-08T03:05:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "validation_2000_cutoff_llama_formatted"
More Information needed | [
"# Dataset Card for \"validation_2000_cutoff_llama_formatted\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"validation_2000_cutoff_llama_formatted\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"validation_2000_cutoff_llama_formatted\"\n\nMore Information needed"
] |
d8abf945630f121d3d57e763d54fca92ee20437c | # Dataset Card for "dataset_010"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kheder/dataset_010 | [
"region:us"
] | 2023-11-08T03:08:18+00:00 | {"dataset_info": {"features": [{"name": "who-i-am", "dtype": "string"}, {"name": "quran/hasanat", "list": [{"name": "id", "dtype": "int64"}, {"name": "name", "dtype": "string"}, {"name": "total_hasanat", "dtype": "int64"}, {"name": "total_verses", "dtype": "int64"}, {"name": "translation", "dtype": "string"}, {"name": ... | 2023-11-08T03:08:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_010"
More Information needed | [
"# Dataset Card for \"dataset_010\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dataset_010\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"dataset_010\"\n\nMore Information needed"
] |
22123b309fdd49fd8f6717370c460c12558abb7d | # Dataset Card for "disinfectants_general_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Jonglee/disinfectants_general_qa | [
"region:us"
] | 2023-11-08T03:09:07+00:00 | {"dataset_info": {"features": [{"name": "Questions", "dtype": "string"}, {"name": "Answers", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44677, "num_examples": 100}], "download_size": 27086, "dataset_size": 44677}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data... | 2023-11-08T03:09:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disinfectants_general_qa"
More Information needed | [
"# Dataset Card for \"disinfectants_general_qa\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"disinfectants_general_qa\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"disinfectants_general_qa\"\n\nMore Information needed"
] |
e626b41c06ab840c22bee2115fca3c2fcc8a3618 | # Dataset Card for "orca-processes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thangvip/orca-processes | [
"region:us"
] | 2023-11-08T03:11:05+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31950704.438731268, "num_examples": 32860}], "download_size": 11256640, "dataset_si... | 2023-11-08T03:11:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "orca-processes"
More Information needed | [
"# Dataset Card for \"orca-processes\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"orca-processes\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"orca-processes\"\n\nMore Information needed"
] |
4462bb0bf4eefc863a6168a7a04c32f26e7cb426 | # Dataset Card for "wavlm-large_layer21-librispeech-asr100h"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cmu-mlsp/wavlm-large_layer21-librispeech-asr100h | [
"region:us"
] | 2023-11-08T03:14:55+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 24000}}}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}, {"name": "chapter_id", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "audio_codes", "sequen... | 2023-11-10T23:15:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wavlm-large_layer21-librispeech-asr100h"
More Information needed | [
"# Dataset Card for \"wavlm-large_layer21-librispeech-asr100h\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wavlm-large_layer21-librispeech-asr100h\"\n\nMore Information needed"
] | [
6,
29
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"wavlm-large_layer21-librispeech-asr100h\"\n\nMore Information needed"
] |
eacf4c81676aeaea4b88fda5d3814a0f3efb6cb3 | # Dataset Card for "dolphin_mqa_details_vi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nguyenthanhdo/dolphin_mqa_details_vi | [
"region:us"
] | 2023-11-08T04:09:40+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28509274, "num_examples": 15037}], "download_size": 12692096, "dataset_size": 28509274}, "configs": [{"config_name": "default... | 2023-11-08T04:09:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dolphin_mqa_details_vi"
More Information needed | [
"# Dataset Card for \"dolphin_mqa_details_vi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dolphin_mqa_details_vi\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"dolphin_mqa_details_vi\"\n\nMore Information needed"
] |
d56fdc21cdedb3c3b9c388b652601af980725936 | # Dataset Card for "patrick_nation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Chunt0/patrick_nation | [
"region:us"
] | 2023-11-08T04:33:41+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8533138.0, "num_examples": 40}], "download_size": 8531948, "dataset_siz... | 2023-11-08T04:33:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patrick_nation"
More Information needed | [
"# Dataset Card for \"patrick_nation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"patrick_nation\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"patrick_nation\"\n\nMore Information needed"
] |
92ad50676e274c8051b972964f7764e163140281 | # Dataset Card for "pile-python-filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | BEE-spoke-data/pile-python-filtered | [
"task_categories:text-generation",
"license:odc-by",
"region:us"
] | 2023-11-08T05:04:48+00:00 | {"license": "odc-by", "task_categories": ["text-generation"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}, {"config_name": "has_docstrings", "data_files": [{"split": "tr... | 2024-01-26T07:14:32+00:00 | [] | [] | TAGS
#task_categories-text-generation #license-odc-by #region-us
| # Dataset Card for "pile-python-filtered"
More Information needed | [
"# Dataset Card for \"pile-python-filtered\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-text-generation #license-odc-by #region-us \n",
"# Dataset Card for \"pile-python-filtered\"\n\nMore Information needed"
] | [
25,
18
] | [
"passage: TAGS\n#task_categories-text-generation #license-odc-by #region-us \n# Dataset Card for \"pile-python-filtered\"\n\nMore Information needed"
] |
c776352ec647cd85917123b31b315b83995bb853 | # Dataset Card for "DKK-nli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | seongs1024/DKK-nli | [
"region:us"
] | 2023-11-08T05:34:13+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 90009601, "num_examples": 601712}, {"name": "validation", "num_bytes": 1613552, "num_examples": 7954}], "download_size": 27452... | 2023-11-08T08:31:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DKK-nli"
More Information needed | [
"# Dataset Card for \"DKK-nli\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"DKK-nli\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"DKK-nli\"\n\nMore Information needed"
] |
e6028df09a468bfaf529bb9858ec21994e847171 | # Dataset Card for "dataset_2000_complexquestion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | presencesw/dataset_2000_complexquestion | [
"region:us"
] | 2023-11-08T05:57:27+00:00 | {"dataset_info": {"features": [{"name": "entities", "sequence": "null"}, {"name": "triples", "sequence": "null"}, {"name": "answer", "dtype": "string"}, {"name": "complex_question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 175875, "num_examples": 2000}], "download_size": 80882, "dataset_size": 175... | 2023-11-08T06:04:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_2000_complexquestion"
More Information needed | [
"# Dataset Card for \"dataset_2000_complexquestion\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dataset_2000_complexquestion\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"dataset_2000_complexquestion\"\n\nMore Information needed"
] |
3c64d949a9f6b7a5a138cb734627589d74129505 | # Dataset Card for "eval_vl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MinGue/eval_vl | [
"region:us"
] | 2023-11-08T06:26:33+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "dataset", "dtype": "string"}, {"name": "file_name", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "passages", "sequence": "string"}, {"name": "passage_count", "dtype": "int64"}, {"name": "answer_gpt", "dtype": "string"}], "... | 2023-11-08T06:26:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "eval_vl"
More Information needed | [
"# Dataset Card for \"eval_vl\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"eval_vl\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"eval_vl\"\n\nMore Information needed"
] |
1e56ee420016e76a4aece9208cca3ba7d3e58944 | # Dataset Card for "find_first_sent_train_50_eval_20"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_first_sent_train_50_eval_20 | [
"region:us"
] | 2023-11-08T06:28:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-08T06:31:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_first_sent_train_50_eval_20"
More Information needed | [
"# Dataset Card for \"find_first_sent_train_50_eval_20\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_first_sent_train_50_eval_20\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_first_sent_train_50_eval_20\"\n\nMore Information needed"
] |
767691b1ba0d3268d64347b578d1b8dfbcea7e41 | # Dataset Card for "find_second_sent_train_50_eval_20"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_second_sent_train_50_eval_20 | [
"region:us"
] | 2023-11-08T06:28:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-08T06:31:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_second_sent_train_50_eval_20"
More Information needed | [
"# Dataset Card for \"find_second_sent_train_50_eval_20\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_second_sent_train_50_eval_20\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_second_sent_train_50_eval_20\"\n\nMore Information needed"
] |
bd82762bb7763d67351c19298bf47944aef85b37 | # Dataset Card for "find_last_sent_train_50_eval_20"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_last_sent_train_50_eval_20 | [
"region:us"
] | 2023-11-08T06:29:04+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-08T06:31:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_last_sent_train_50_eval_20"
More Information needed | [
"# Dataset Card for \"find_last_sent_train_50_eval_20\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_last_sent_train_50_eval_20\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_last_sent_train_50_eval_20\"\n\nMore Information needed"
] |
0dd0bdd6b81c650400f6858d8c90adcbfc40bd91 | # Dataset Card for "find_first_sent_train_50_eval_40"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_first_sent_train_50_eval_40 | [
"region:us"
] | 2023-11-08T06:29:28+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-08T06:31:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_first_sent_train_50_eval_40"
More Information needed | [
"# Dataset Card for \"find_first_sent_train_50_eval_40\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_first_sent_train_50_eval_40\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_first_sent_train_50_eval_40\"\n\nMore Information needed"
] |
950417ebb3d839f02885c6615c44cc0aa519532a | # Dataset Card for "find_second_sent_train_50_eval_40"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_second_sent_train_50_eval_40 | [
"region:us"
] | 2023-11-08T06:29:35+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-08T06:31:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_second_sent_train_50_eval_40"
More Information needed | [
"# Dataset Card for \"find_second_sent_train_50_eval_40\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_second_sent_train_50_eval_40\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_second_sent_train_50_eval_40\"\n\nMore Information needed"
] |
584b625dd5d715e26270d5000a453acbf95570cf | # Dataset Card for "find_last_sent_train_50_eval_40"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_last_sent_train_50_eval_40 | [
"region:us"
] | 2023-11-08T06:29:41+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-08T06:31:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_last_sent_train_50_eval_40"
More Information needed | [
"# Dataset Card for \"find_last_sent_train_50_eval_40\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_last_sent_train_50_eval_40\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_last_sent_train_50_eval_40\"\n\nMore Information needed"
] |
5e4a03f400a1be68a8ca739f5a1018d98c6f481b | # Dataset Card for "find_first_sent_train_100_eval_40"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_first_sent_train_100_eval_40 | [
"region:us"
] | 2023-11-08T06:30:33+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-20T06:20:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_first_sent_train_100_eval_40"
More Information needed | [
"# Dataset Card for \"find_first_sent_train_100_eval_40\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_first_sent_train_100_eval_40\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_first_sent_train_100_eval_40\"\n\nMore Information needed"
] |
5c9f77a35d8b6c1dcce7e3a18f487d4421b0bf4d | # Dataset Card for WEB_QUESTIONS
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation INformation
```
@inproceedings{berant-etal-2013-semantic,
title = "Semantic Parsing on {F}reebase from Question-Answer Pairs",
au... | KETI-AIR/kor_web_questions | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"size_categories:1K<n<10K",
"language:ko",
"license:cc-by-4.0",
"region:us"
] | 2023-11-08T06:32:03+00:00 | {"language": ["ko"], "license": ["cc-by-4.0"], "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa"], "pretty_name": "WebQuestions", "dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequen... | 2023-11-15T01:17:34+00:00 | [] | [
"ko"
] | TAGS
#task_categories-question-answering #task_ids-open-domain-qa #size_categories-1K<n<10K #language-Korean #license-cc-by-4.0 #region-us
| # Dataset Card for WEB_QUESTIONS
## Licensing Information
The data is distributed under the CC BY 4.0 license.
## Source Data Citation INformation
'''
@inproceedings{berant-etal-2013-semantic,
title = "Semantic Parsing on {F}reebase from Question-Answer Pairs",
author = "Berant, Jonathan and
Chou, Andrew... | [
"# Dataset Card for WEB_QUESTIONS",
"## Licensing Information\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation\n'''\n@inproceedings{berant-etal-2013-semantic,\n title = \"Semantic Parsing on {F}reebase from Question-Answer Pairs\",\n author = \"Berant, Jonathan ... | [
"TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #size_categories-1K<n<10K #language-Korean #license-cc-by-4.0 #region-us \n",
"# Dataset Card for WEB_QUESTIONS",
"## Licensing Information\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation\n'''\n@in... | [
56,
10,
17,
148
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #size_categories-1K<n<10K #language-Korean #license-cc-by-4.0 #region-us \n# Dataset Card for WEB_QUESTIONS## Licensing Information\nThe data is distributed under the CC BY 4.0 license.## Source Data Citation INformation\n'''\n@inproceedin... |
9d10f57eb49d41fda3e72274505f1a5cb0f660c9 | # Dataset Card for "find_second_sent_train_100_eval_40"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_second_sent_train_100_eval_40 | [
"region:us"
] | 2023-11-08T06:32:47+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-20T06:20:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_second_sent_train_100_eval_40"
More Information needed | [
"# Dataset Card for \"find_second_sent_train_100_eval_40\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_second_sent_train_100_eval_40\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_second_sent_train_100_eval_40\"\n\nMore Information needed"
] |
5646c03c7428aa5f409f551d04bb598dfe89ee67 | # Dataset Card for "find_last_sent_train_100_eval_40"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_last_sent_train_100_eval_40 | [
"region:us"
] | 2023-11-08T06:32:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-20T06:20:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_last_sent_train_100_eval_40"
More Information needed | [
"# Dataset Card for \"find_last_sent_train_100_eval_40\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_last_sent_train_100_eval_40\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_last_sent_train_100_eval_40\"\n\nMore Information needed"
] |
f81632a76cd4e428438c8a868479dfbde1950326 | # Dataset Card for Quarel
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation INformation
```
@inproceedings{quarel_v1,
title={QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships},
... | KETI-AIR/kor_quarel | [
"language:ko",
"license:cc-by-4.0",
"region:us"
] | 2023-11-08T06:36:14+00:00 | {"language": ["ko"], "license": ["cc-by-4.0"], "pretty_name": "QUAREL", "dataset_info": {"features": [{"name": "data_index_by_user", "dtype": "int32"}, {"name": "id", "dtype": "string"}, {"name": "answer_index", "dtype": "int32"}, {"name": "logical_forms", "sequence": "string"}, {"name": "logical_form_pretty", "dtype":... | 2023-12-06T01:21:21+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #license-cc-by-4.0 #region-us
| # Dataset Card for Quarel
## Licensing Information
The data is distributed under the CC BY 4.0 license.
## Source Data Citation INformation
| [
"# Dataset Card for Quarel",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation"
] | [
"TAGS\n#language-Korean #license-cc-by-4.0 #region-us \n",
"# Dataset Card for Quarel",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation"
] | [
20,
7,
17,
8
] | [
"passage: TAGS\n#language-Korean #license-cc-by-4.0 #region-us \n# Dataset Card for Quarel## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.## Source Data Citation INformation"
] |
d9cb140a7f011da71cfe5bfa3cb2b874e463bf35 |
# Dataset Card for QASC
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation INformation
```
@article{allenai:qasc,
author = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharw... | KETI-AIR/kor_qasc | [
"task_categories:question-answering",
"task_categories:multiple-choice",
"task_ids:extractive-qa",
"task_ids:multiple-choice-qa",
"size_categories:1K<n<10K",
"language:ko",
"license:cc-by-4.0",
"region:us"
] | 2023-11-08T06:41:46+00:00 | {"language": ["ko"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "multiple-choice"], "task_ids": ["extractive-qa", "multiple-choice-qa"], "dataset_info": {"features": [{"name": "data_index_by_user", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name... | 2023-11-15T01:21:25+00:00 | [] | [
"ko"
] | TAGS
#task_categories-question-answering #task_categories-multiple-choice #task_ids-extractive-qa #task_ids-multiple-choice-qa #size_categories-1K<n<10K #language-Korean #license-cc-by-4.0 #region-us
|
# Dataset Card for QASC
## Licensing Information
The data is distributed under the CC BY 4.0 license.
## Source Data Citation INformation
| [
"# Dataset Card for QASC",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation"
] | [
"TAGS\n#task_categories-question-answering #task_categories-multiple-choice #task_ids-extractive-qa #task_ids-multiple-choice-qa #size_categories-1K<n<10K #language-Korean #license-cc-by-4.0 #region-us \n",
"# Dataset Card for QASC",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 licen... | [
80,
8,
17,
8
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-multiple-choice #task_ids-extractive-qa #task_ids-multiple-choice-qa #size_categories-1K<n<10K #language-Korean #license-cc-by-4.0 #region-us \n# Dataset Card for QASC## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.... |
b7ca186e78f441a0a0d0c73f4310fd12c9915916 |
# Dataset Card for ROPES
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation INformation
```
@inproceedings{Lin2019ReasoningOP,
title={Reasoning Over Paragraph Effects in Situations},
author={Kevin Lin and Oyvind ... | KETI-AIR/kor_ropes | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"size_categories:10K<n<100K",
"language:ko",
"license:cc-by-4.0",
"region:us"
] | 2023-11-08T06:44:49+00:00 | {"language": ["ko"], "license": ["cc-by-4.0"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name": "ROPES", "dataset_info": {"features": [{"name": "data_index_by_user", "dtype": "int32"}, {"name": "background", "dtype": "string"}, {"name": "situati... | 2023-11-15T01:22:37+00:00 | [] | [
"ko"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #size_categories-10K<n<100K #language-Korean #license-cc-by-4.0 #region-us
|
# Dataset Card for ROPES
## Licensing Information
The data is distributed under the CC BY 4.0 license.
## Source Data Citation INformation
'''
@inproceedings{Lin2019ReasoningOP,
title={Reasoning Over Paragraph Effects in Situations},
author={Kevin Lin and Oyvind Tafjord and Peter Clark and Matt Gardner},
boo... | [
"# Dataset Card for ROPES",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation\n\n'''\n@inproceedings{Lin2019ReasoningOP,\n title={Reasoning Over Paragraph Effects in Situations},\n author={Kevin Lin and Oyvind Tafjord and Peter Clark and M... | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #size_categories-10K<n<100K #language-Korean #license-cc-by-4.0 #region-us \n",
"# Dataset Card for ROPES",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation\n\n'''\n@inpro... | [
55,
8,
17,
81
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-extractive-qa #size_categories-10K<n<100K #language-Korean #license-cc-by-4.0 #region-us \n# Dataset Card for ROPES## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.## Source Data Citation INformation\n\n'''\n@inproceedings{... |
8a2bbb6095d0107626d394058686281e060873a7 |
# Dataset Card for cosmos_qa
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation INformation
```
@inproceedings{huang-etal-2019-cosmos,
title = "Cosmos {QA}: Machine Reading Comprehension with Contextual Commonsen... | KETI-AIR/kor_cosmos_qa | [
"size_categories:10K<n<100K",
"language:ko",
"license:cc-by-4.0",
"region:us"
] | 2023-11-08T06:48:59+00:00 | {"language": ["ko"], "license": ["cc-by-4.0"], "size_categories": ["10K<n<100K"], "pretty_name": "CosmosQA", "dataset_info": {"features": [{"name": "data_index_by_user", "dtype": "int32"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer0", "dtype": "string"}, {"name": "... | 2023-11-15T01:23:57+00:00 | [] | [
"ko"
] | TAGS
#size_categories-10K<n<100K #language-Korean #license-cc-by-4.0 #region-us
|
# Dataset Card for cosmos_qa
## Licensing Information
The data is distributed under the CC BY 4.0 license.
## Source Data Citation INformation
| [
"# Dataset Card for cosmos_qa",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation"
] | [
"TAGS\n#size_categories-10K<n<100K #language-Korean #license-cc-by-4.0 #region-us \n",
"# Dataset Card for cosmos_qa",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation INformation"
] | [
32,
9,
17,
8
] | [
"passage: TAGS\n#size_categories-10K<n<100K #language-Korean #license-cc-by-4.0 #region-us \n# Dataset Card for cosmos_qa## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.## Source Data Citation INformation"
] |
39a7ba4b08bdee0c2fb2ab0db465522c9e528897 |
# Dataset Card for wiki_hop
## Licensing Information
The data is distributed under the [CC BY SA 3.0](https://creativecommons.org/licenses/by-sa/3.0/deed.en) license.
## Source Data Citation Information
```
@article{DBLP:journals/corr/abs-1710-06481,
author = {Johannes Welbl and
Pontus St... | KETI-AIR/kor_wiki_hop | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ko",
"license:cc-by-sa-3.0",
"arxiv:1710.06481",
"region:us"
] | 2023-11-08T07:03:36+00:00 | {"language": ["ko"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "paperswithcode_id": "wikihop", "pretty_name": "WikiHop", "dataset_info": {"features": [{"na... | 2023-11-15T01:23:19+00:00 | [
"1710.06481"
] | [
"ko"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Korean #license-cc-by-sa-3.0 #arxiv-1710.06481 #region-us
|
# Dataset Card for wiki_hop
## Licensing Information
The data is distributed under the CC BY SA 3.0 license.
## Source Data Citation Information
| [
"# Dataset Card for wiki_hop",
"## Licensing Information\n\nThe data is distributed under the CC BY SA 3.0 license.",
"## Source Data Citation Information"
] | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Korean #license-cc-by-sa-3.0 #arxiv-1710.06481 #region-us \n",
"# Dataset Card for wiki_hop",
"## Licensing Information\n\nThe data is distributed under... | [
82,
8,
18,
6
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Korean #license-cc-by-sa-3.0 #arxiv-1710.06481 #region-us \n# Dataset Card for wiki_hop## Licensing Information\n\nThe data is distributed under th... |
71070865af53c9c570ea77318b102468cb5a4abb |
The dataset consists of 1000 randomly selected rows from the original [alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4) dataset. | aigeek0x0/alpaca-gpt4-1000 | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-11-08T07:11:45+00:00 | {"license": "cc-by-nc-4.0"} | 2023-11-15T00:37:55+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
The dataset consists of 1000 randomly selected rows from the original alpaca-gpt4 dataset. | [] | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n"
] |
621be982bfaaecba5a3714d3916a3dd8d3c3804b | # Dataset Card for quartz
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation Information
```
@InProceedings{quartz,
author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},
title = {"QUARTZ: An Op... | KETI-AIR/kor_quartz | [
"language:ko",
"license:cc-by-4.0",
"region:us"
] | 2023-11-08T07:13:34+00:00 | {"language": ["ko"], "license": "cc-by-4.0", "dataset_info": {"features": [{"name": "data_index_by_user", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name": "choices", "struct": [{"name": "text", "sequence": "string"}, {"name": "label", "sequence": "string"}]}, {"name": "answerKey", "dtype": "string"}... | 2023-11-15T01:18:53+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #license-cc-by-4.0 #region-us
| # Dataset Card for quartz
## Licensing Information
The data is distributed under the CC BY 4.0 license.
## Source Data Citation Information
'''
@InProceedings{quartz,
author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},
title = {"QUARTZ: An Open-Domain Dataset of Qualitative Relationship
Qu... | [
"# Dataset Card for quartz",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation Information\n\n'''\n@InProceedings{quartz,\n author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},\n title = {\"QUARTZ: An Open-Domain Dataset of Qualit... | [
"TAGS\n#language-Korean #license-cc-by-4.0 #region-us \n",
"# Dataset Card for quartz",
"## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.",
"## Source Data Citation Information\n\n'''\n@InProceedings{quartz,\n author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter C... | [
20,
7,
17,
73
] | [
"passage: TAGS\n#language-Korean #license-cc-by-4.0 #region-us \n# Dataset Card for quartz## Licensing Information\n\nThe data is distributed under the CC BY 4.0 license.## Source Data Citation Information\n\n'''\n@InProceedings{quartz,\n author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},\n ... |
d698090a79725efeeaaef69dd7484b3ad124e379 | # Dataset Card for "seizure_eeg_iirFilter_greyscale_224x224_6secWindow_adjusted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | JLB-JLB/seizure_eeg_iirFilter_greyscale_224x224_6secWindow_adjusted | [
"region:us"
] | 2023-11-08T07:27:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "dev", "path": "data/dev-*"}, {"split": "eval", "path": "data/eval-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "epoch", "dtype": "int64"}, {"name": "label", "dtype": {"cla... | 2023-11-08T07:45:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "seizure_eeg_iirFilter_greyscale_224x224_6secWindow_adjusted"
More Information needed | [
"# Dataset Card for \"seizure_eeg_iirFilter_greyscale_224x224_6secWindow_adjusted\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"seizure_eeg_iirFilter_greyscale_224x224_6secWindow_adjusted\"\n\nMore Information needed"
] | [
6,
41
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"seizure_eeg_iirFilter_greyscale_224x224_6secWindow_adjusted\"\n\nMore Information needed"
] |
56cb08b68db6d1cee603f8e504ef9ecd3d096293 |
# Dataset Card for squad_v2
## Licensing Information
The data is distributed under the [CC BY SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.en) license.
## Source Data Citation Information
```
@article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
... | KETI-AIR/kor_squad_v2 | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"task_ids:extractive-qa",
"language:ko",
"license:cc-by-sa-4.0",
"arxiv:1606.05250",
"region:us"
] | 2023-11-08T07:28:12+00:00 | {"language": ["ko"], "license": "cc-by-sa-4.0", "task_categories": ["question-answering"], "task_ids": ["open-domain-qa", "extractive-qa"], "dataset_info": {"features": [{"name": "data_index_by_user", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "... | 2023-11-15T01:19:19+00:00 | [
"1606.05250"
] | [
"ko"
] | TAGS
#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #language-Korean #license-cc-by-sa-4.0 #arxiv-1606.05250 #region-us
|
# Dataset Card for squad_v2
## Licensing Information
The data is distributed under the CC BY SA 4.0 license.
## Source Data Citation Information
'''
@article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "... | [
"# Dataset Card for squad_v2",
"## Licensing Information\n\nThe data is distributed under the CC BY SA 4.0 license.",
"## Source Data Citation Information\n\n'''\n@article{2016arXiv160605250R,\n author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},\n Konstantin and {Liang}, Percy}... | [
"TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #language-Korean #license-cc-by-sa-4.0 #arxiv-1606.05250 #region-us \n",
"# Dataset Card for squad_v2",
"## Licensing Information\n\nThe data is distributed under the CC BY SA 4.0 license.",
"## Source Data Citation In... | [
65,
10,
18,
142
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #language-Korean #license-cc-by-sa-4.0 #arxiv-1606.05250 #region-us \n# Dataset Card for squad_v2## Licensing Information\n\nThe data is distributed under the CC BY SA 4.0 license.## Source Data Citation Information... |
010566c590ecd28ef9971cccc8720744813b39f9 | # Dataset Card for "autotrain-data-8a00-9wrj-ig4m"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AYUNTAMIENTOVERA/autotrain-data-8a00-9wrj-ig4m | [
"region:us"
] | 2023-11-08T07:34:12+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "grupo", "dtype": "string"}, {"name": "intencion", "dtype": "string"}, {"name": "entrenada", "dtype": "int64"}, {"name": "revision", "dtype": "string"}, {"name": "burbuja1", "dtype": "string"}, {"name": "enlace1", "dtype": "string"}, {"name": "bu... | 2023-11-08T07:34:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-8a00-9wrj-ig4m"
More Information needed | [
"# Dataset Card for \"autotrain-data-8a00-9wrj-ig4m\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"autotrain-data-8a00-9wrj-ig4m\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"autotrain-data-8a00-9wrj-ig4m\"\n\nMore Information needed"
] |
2c517432a254429c101a7bf523fd28229d39927a |
# Dataset Card for anli
## Licensing Information
[cc-4 Attribution-NonCommercial](https://github.com/facebookresearch/anli/blob/main/LICENSE)
## Source Data Citation INformation
```
@InProceedings{nie2019adversarial,
title={Adversarial NLI: A New Benchmark for Natural Language Understanding},
author={Nie, ... | KETI-AIR/kor_anli | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"task_ids:multi-input-text-classification",
"size_categories:100K<n<1M",
"language:ko",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-11-08T07:39:41+00:00 | {"language": ["ko"], "license": ["cc-by-nc-4.0"], "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference", "multi-input-text-classification"], "paperswithcode_id": "anli", "pretty_name": "Adversarial NLI", "dataset_info": {"features": [{"name": "data_index... | 2023-11-15T01:18:06+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-4.0 #region-us
|
# Dataset Card for anli
## Licensing Information
cc-4 Attribution-NonCommercial
## Source Data Citation INformation
'''
@InProceedings{nie2019adversarial,
title={Adversarial NLI: A New Benchmark for Natural Language Understanding},
author={Nie, Yixin
and Williams, Adina
and ... | [
"# Dataset Card for anli",
"## Licensing Information\n\ncc-4 Attribution-NonCommercial",
"## Source Data Citation INformation\n\n'''\n@InProceedings{nie2019adversarial,\n title={Adversarial NLI: A New Benchmark for Natural Language Understanding},\n author={Nie, Yixin\n and Williams, Adina\... | [
"TAGS\n#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-4.0 #region-us \n",
"# Dataset Card for anli",
"## Licensing Information\n\ncc-4 Attribution-NonCommercial",
"## Source Data ... | [
73,
7,
14,
127
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-4.0 #region-us \n# Dataset Card for anli## Licensing Information\n\ncc-4 Attribution-NonCommercial## Source Data Citation ... |
7a7c738d6b42eded525bb7fa55a6c60e457b4057 | # Dataset Card for "OpenOrca-processes-QA-vi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nlplabtdtu/OpenOrca-processes-QA-vi | [
"region:us"
] | 2023-11-08T07:58:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36733040, "num_examples": 32860}], "download_size": 12971853, "dataset_size": 36733... | 2023-11-08T09:03:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OpenOrca-processes-QA-vi"
More Information needed | [
"# Dataset Card for \"OpenOrca-processes-QA-vi\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"OpenOrca-processes-QA-vi\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"OpenOrca-processes-QA-vi\"\n\nMore Information needed"
] |
98ac08091845477b0b45cb09078263e63f838a94 | # Dataset Card for Nexdata/Non-safety_and_inductive_Prompt_data
## Description
Non-safety and inductive Prompt data, about 500,000 in total, this dataset can be used for tasks such as LLM training, chatgpt
For more details, please refer to the link: https://www.nexdata.ai/datasets/1349?source=Huggingface
# Specifica... | Nexdata/Non-safety_and_inductive_Prompt_data | [
"task_categories:text-generation",
"task_categories:zero-shot-classification",
"language:zh",
"region:us"
] | 2023-11-08T08:02:36+00:00 | {"language": ["zh"], "task_categories": ["text-generation", "zero-shot-classification"]} | 2024-01-26T08:54:05+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #task_categories-zero-shot-classification #language-Chinese #region-us
| # Dataset Card for Nexdata/Non-safety_and_inductive_Prompt_data
## Description
Non-safety and inductive Prompt data, about 500,000 in total, this dataset can be used for tasks such as LLM training, chatgpt
For more details, please refer to the link: URL
# Specifications
## Data content
Non-safety and inductive Promp... | [
"# Dataset Card for Nexdata/Non-safety_and_inductive_Prompt_data",
"## Description\nNon-safety and inductive Prompt data, about 500,000 in total, this dataset can be used for tasks such as LLM training, chatgpt\n\nFor more details, please refer to the link: URL",
"# Specifications",
"## Data content\nNon-safe... | [
"TAGS\n#task_categories-text-generation #task_categories-zero-shot-classification #language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Non-safety_and_inductive_Prompt_data",
"## Description\nNon-safety and inductive Prompt data, about 500,000 in total, this dataset can be used for tasks such as LLM tra... | [
35,
25,
49,
3,
14,
6,
18,
10,
5,
3,
9
] | [
"passage: TAGS\n#task_categories-text-generation #task_categories-zero-shot-classification #language-Chinese #region-us \n# Dataset Card for Nexdata/Non-safety_and_inductive_Prompt_data## Description\nNon-safety and inductive Prompt data, about 500,000 in total, this dataset can be used for tasks such as LLM traini... |
f00053cd9dfa679f1e3cd3b3c76205d5c1fd03bf | # Dataset Card for Nexdata/Unsupervised_Text_Data_For_Literary_Subjects
## Description
Subjects content data, about 1T in total; each piece of subjects' content contains title,text,author,date,subject,keyword; this dataset can be used for tasks such as LLM training, chatgpt
For more details, please refer to the link:... | Nexdata/Unsupervised_Text_Data_For_Literary_Subjects | [
"task_categories:conversational",
"language:zh",
"region:us"
] | 2023-11-08T08:05:07+00:00 | {"language": ["zh"], "task_categories": ["conversational"]} | 2023-11-10T07:21:54+00:00 | [] | [
"zh"
] | TAGS
#task_categories-conversational #language-Chinese #region-us
| # Dataset Card for Nexdata/Unsupervised_Text_Data_For_Literary_Subjects
## Description
Subjects content data, about 1T in total; each piece of subjects' content contains title,text,author,date,subject,keyword; this dataset can be used for tasks such as LLM training, chatgpt
For more details, please refer to the link:... | [
"# Dataset Card for Nexdata/Unsupervised_Text_Data_For_Literary_Subjects",
"## Description\nSubjects content data, about 1T in total; each piece of subjects' content contains title,text,author,date,subject,keyword; this dataset can be used for tasks such as LLM training, chatgpt\n\nFor more details, please refer ... | [
"TAGS\n#task_categories-conversational #language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Unsupervised_Text_Data_For_Literary_Subjects",
"## Description\nSubjects content data, about 1T in total; each piece of subjects' content contains title,text,author,date,subject,keyword; this dataset can be used... | [
21,
27,
67,
3,
11,
6,
22,
26,
5,
3,
9
] | [
"passage: TAGS\n#task_categories-conversational #language-Chinese #region-us \n# Dataset Card for Nexdata/Unsupervised_Text_Data_For_Literary_Subjects## Description\nSubjects content data, about 1T in total; each piece of subjects' content contains title,text,author,date,subject,keyword; this dataset can be used fo... |
dc3e42fe22b0e29b2faf6f90fa022f4520996e35 | # Dataset Card for Nexdata/Chinese_News_Text_Data
## Description
News content data, about 35G in total; each piece of news comment content contains ID, time, news title and news body; this dataset can be used for tasks such as LLM training, chatgpt
For more details, please refer to the link: https://www.nexdata.ai/da... | Nexdata/Chinese_News_Text_Data | [
"task_categories:conversational",
"language:zh",
"region:us"
] | 2023-11-08T08:06:42+00:00 | {"language": ["zh"], "task_categories": ["conversational"]} | 2023-11-10T07:21:38+00:00 | [] | [
"zh"
] | TAGS
#task_categories-conversational #language-Chinese #region-us
| # Dataset Card for Nexdata/Chinese_News_Text_Data
## Description
News content data, about 35G in total; each piece of news comment content contains ID, time, news title and news body; this dataset can be used for tasks such as LLM training, chatgpt
For more details, please refer to the link: URL
# Specifications
## ... | [
"# Dataset Card for Nexdata/Chinese_News_Text_Data",
"## Description\nNews content data, about 35G in total; each piece of news comment content contains ID, time, news title and news body; this dataset can be used for tasks such as LLM training, chatgpt\n\nFor more details, please refer to the link: URL",
"# Sp... | [
"TAGS\n#task_categories-conversational #language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Chinese_News_Text_Data",
"## Description\nNews content data, about 35G in total; each piece of news comment content contains ID, time, news title and news body; this dataset can be used for tasks such as LLM tra... | [
21,
17,
59,
3,
6,
6,
11,
11,
5,
3,
50,
9
] | [
"passage: TAGS\n#task_categories-conversational #language-Chinese #region-us \n# Dataset Card for Nexdata/Chinese_News_Text_Data## Description\nNews content data, about 35G in total; each piece of news comment content contains ID, time, news title and news body; this dataset can be used for tasks such as LLM traini... |
db0d55a9a20cd130265fcbaf316111e901533b77 | # Dataset Card for Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data
## Description
This database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and B are the codes to replace the sender and receiver, a... | Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data | [
"language:zh",
"region:us"
] | 2023-11-08T08:08:11+00:00 | {"language": ["zh"]} | 2023-11-10T07:19:51+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #region-us
| # Dataset Card for Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data
## Description
This database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and B are the codes to replace the sender and receiver, a... | [
"# Dataset Card for Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data",
"## Description\nThis database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and B are the codes to replace the sender and ... | [
"TAGS\n#language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data",
"## Description\nThis database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and... | [
11,
25,
98,
3,
18,
10,
8,
5,
3,
23,
9
] | [
"passage: TAGS\n#language-Chinese #region-us \n# Dataset Card for Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data## Description\nThis database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and B ... |
2d8a0be16fe0b8689bad4d66f0ae55fe656ce92b | # Dataset Card for Nexdata/Chinese_Medical_Question_Answering_Data
## Description
The data contains 203,029 groups Chinese question answering data between doctors and patients of different diseases.
For more details, please refer to the link: https://www.nexdata.ai/datasets/1086?source=Huggingface
# Specifications
#... | Nexdata/Chinese_Medical_Question_Answering_Data | [
"task_categories:question-answering",
"language:zh",
"region:us"
] | 2023-11-08T08:10:28+00:00 | {"language": ["zh"], "task_categories": ["question-answering"]} | 2023-11-10T07:18:08+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #language-Chinese #region-us
| # Dataset Card for Nexdata/Chinese_Medical_Question_Answering_Data
## Description
The data contains 203,029 groups Chinese question answering data between doctors and patients of different diseases.
For more details, please refer to the link: URL
# Specifications
## Data content
203,029 Chinese question & answering ... | [
"# Dataset Card for Nexdata/Chinese_Medical_Question_Answering_Data",
"## Description\nThe data contains 203,029 groups Chinese question answering data between doctors and patients of different diseases.\n\nFor more details, please refer to the link: URL",
"# Specifications",
"## Data content\n203,029 Chinese... | [
"TAGS\n#task_categories-question-answering #language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Chinese_Medical_Question_Answering_Data",
"## Description\nThe data contains 203,029 groups Chinese question answering data between doctors and patients of different diseases.\n\nFor more details, please ref... | [
23,
23,
36,
3,
18,
5,
3,
6,
13,
9
] | [
"passage: TAGS\n#task_categories-question-answering #language-Chinese #region-us \n# Dataset Card for Nexdata/Chinese_Medical_Question_Answering_Data## Description\nThe data contains 203,029 groups Chinese question answering data between doctors and patients of different diseases.\n\nFor more details, please refer ... |
177013d08eb4e195745c12e74cfee64fe5aea5f5 | # Dataset Card for Nexdata/Minnan_Dialect_Pronunciation_Dictionary
## Description
Each entry consists of three parts: words, pinyin, and tones. The dictionary can be used to provide pronunciation reference for sound recording personnel, research, and development of pronunciation recognition technology, etc.
For more ... | Nexdata/Minnan_Dialect_Pronunciation_Dictionary | [
"task_categories:automatic-speech-recognition",
"region:us"
] | 2023-11-08T08:11:55+00:00 | {"task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:17:04+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #region-us
| # Dataset Card for Nexdata/Minnan_Dialect_Pronunciation_Dictionary
## Description
Each entry consists of three parts: words, pinyin, and tones. The dictionary can be used to provide pronunciation reference for sound recording personnel, research, and development of pronunciation recognition technology, etc.
For more ... | [
"# Dataset Card for Nexdata/Minnan_Dialect_Pronunciation_Dictionary",
"## Description\nEach entry consists of three parts: words, pinyin, and tones. The dictionary can be used to provide pronunciation reference for sound recording personnel, research, and development of pronunciation recognition technology, etc.\... | [
"TAGS\n#task_categories-automatic-speech-recognition #region-us \n",
"# Dataset Card for Nexdata/Minnan_Dialect_Pronunciation_Dictionary",
"## Description\nEach entry consists of three parts: words, pinyin, and tones. The dictionary can be used to provide pronunciation reference for sound recording personnel, r... | [
22,
24,
59,
3,
4,
17,
5,
5,
9
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #region-us \n# Dataset Card for Nexdata/Minnan_Dialect_Pronunciation_Dictionary## Description\nEach entry consists of three parts: words, pinyin, and tones. The dictionary can be used to provide pronunciation reference for sound recording personnel, rese... |
db9d99abbd9cffa014b0acf930b563f4326e3174 | # Dataset Card for Nexdata/Cantonese_Pronunciation_Dictionary
## Description
This pronunciation dictionary collects words with dialect characteristics in Guangdong cantonese regions. Each entry consists of three parts: words, pinyin and tones. The dictionary can be used to provide pronunciation reference for sound rec... | Nexdata/Cantonese_Pronunciation_Dictionary | [
"task_categories:automatic-speech-recognition",
"region:us"
] | 2023-11-08T08:13:30+00:00 | {"task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:17:36+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #region-us
| # Dataset Card for Nexdata/Cantonese_Pronunciation_Dictionary
## Description
This pronunciation dictionary collects words with dialect characteristics in Guangdong cantonese regions. Each entry consists of three parts: words, pinyin and tones. The dictionary can be used to provide pronunciation reference for sound rec... | [
"# Dataset Card for Nexdata/Cantonese_Pronunciation_Dictionary",
"## Description\nThis pronunciation dictionary collects words with dialect characteristics in Guangdong cantonese regions. Each entry consists of three parts: words, pinyin and tones. The dictionary can be used to provide pronunciation reference for... | [
"TAGS\n#task_categories-automatic-speech-recognition #region-us \n",
"# Dataset Card for Nexdata/Cantonese_Pronunciation_Dictionary",
"## Description\nThis pronunciation dictionary collects words with dialect characteristics in Guangdong cantonese regions. Each entry consists of three parts: words, pinyin and t... | [
22,
21,
80,
3,
8,
20,
9
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #region-us \n# Dataset Card for Nexdata/Cantonese_Pronunciation_Dictionary## Description\nThis pronunciation dictionary collects words with dialect characteristics in Guangdong cantonese regions. Each entry consists of three parts: words, pinyin and tone... |
bc97e031b0a84094f94189e4424887d5a3c193e5 | # Dataset Card for Nexdata/Mandarin_Pronunciation_Dictionary
## Description
The data contains 570,060 entries. All words and pronunciations are produced by linguists. It can be used in the research and development of Mandarin ASR technology.
For more details, please refer to the link: https://www.nexdata.ai/datasets/... | Nexdata/Mandarin_Pronunciation_Dictionary | [
"task_categories:automatic-speech-recognition",
"language:zh",
"region:us"
] | 2023-11-08T08:14:47+00:00 | {"language": ["zh"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:16:45+00:00 | [] | [
"zh"
] | TAGS
#task_categories-automatic-speech-recognition #language-Chinese #region-us
| # Dataset Card for Nexdata/Mandarin_Pronunciation_Dictionary
## Description
The data contains 570,060 entries. All words and pronunciations are produced by linguists. It can be used in the research and development of Mandarin ASR technology.
For more details, please refer to the link: URL
# Specifications
## Format
... | [
"# Dataset Card for Nexdata/Mandarin_Pronunciation_Dictionary",
"## Description\nThe data contains 570,060 entries. All words and pronunciations are produced by linguists. It can be used in the research and development of Mandarin ASR technology.\n\nFor more details, please refer to the link: URL",
"# Specifica... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Mandarin_Pronunciation_Dictionary",
"## Description\nThe data contains 570,060 entries. All words and pronunciations are produced by linguists. It can be used in the research and development of Man... | [
27,
21,
50,
3,
4,
14,
4,
5,
9
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #language-Chinese #region-us \n# Dataset Card for Nexdata/Mandarin_Pronunciation_Dictionary## Description\nThe data contains 570,060 entries. All words and pronunciations are produced by linguists. It can be used in the research and development of Mandar... |
8e1bafa1807d2d7c33fed7e81e8982c3362a1c88 | # Dataset Card for Nexdata/Japanese_Pronunciation_Dictionary
## Description
The data contains 101,702 entries. All words and pronunciations are produced by Japanese linguists. It can be used in the research and development of Japanese ASR technology.
For more details, please refer to the link: https://www.nexdata.ai/... | Nexdata/Japanese_Pronunciation_Dictionary | [
"task_categories:automatic-speech-recognition",
"language:ja",
"region:us"
] | 2023-11-08T08:16:14+00:00 | {"language": ["ja"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:16:29+00:00 | [] | [
"ja"
] | TAGS
#task_categories-automatic-speech-recognition #language-Japanese #region-us
| # Dataset Card for Nexdata/Japanese_Pronunciation_Dictionary
## Description
The data contains 101,702 entries. All words and pronunciations are produced by Japanese linguists. It can be used in the research and development of Japanese ASR technology.
For more details, please refer to the link: URL
# Specifications
#... | [
"# Dataset Card for Nexdata/Japanese_Pronunciation_Dictionary",
"## Description\nThe data contains 101,702 entries. All words and pronunciations are produced by Japanese linguists. It can be used in the research and development of Japanese ASR technology.\n\nFor more details, please refer to the link: URL",
"# ... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Japanese #region-us \n",
"# Dataset Card for Nexdata/Japanese_Pronunciation_Dictionary",
"## Description\nThe data contains 101,702 entries. All words and pronunciations are produced by Japanese linguists. It can be used in the research and developm... | [
28,
21,
50,
3,
4,
15,
3,
5,
9
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #language-Japanese #region-us \n# Dataset Card for Nexdata/Japanese_Pronunciation_Dictionary## Description\nThe data contains 101,702 entries. All words and pronunciations are produced by Japanese linguists. It can be used in the research and development... |
ec83136a706e6f2291f6b5b5ce34980320f63ef8 | # Dataset Card for "bw_spec_cls_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/bw_spec_cls_10 | [
"region:us"
] | 2023-11-08T08:17:11+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "10", "1": "140", "2": "141", "3": "190", "4": "193", "5": "194", "6": "197", "7": "2", "8":... | 2023-11-08T08:17:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bw_spec_cls_10"
More Information needed | [
"# Dataset Card for \"bw_spec_cls_10\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bw_spec_cls_10\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bw_spec_cls_10\"\n\nMore Information needed"
] |
d4603d016dc5a776d540a4ac9a21c08d1179e2e8 | # Dataset Card for Nexdata/English_Pronunciation_Dictionary
## Description
The data contains 500,113 entries. All words and pronunciations are produced by English linguists. It can be used in the research and development of English ASR technology.
For more details, please refer to the link: https://www.nexdata.ai/dat... | Nexdata/English_Pronunciation_Dictionary | [
"task_categories:automatic-speech-recognition",
"language:en",
"region:us"
] | 2023-11-08T08:17:32+00:00 | {"language": ["en"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:16:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #language-English #region-us
| # Dataset Card for Nexdata/English_Pronunciation_Dictionary
## Description
The data contains 500,113 entries. All words and pronunciations are produced by English linguists. It can be used in the research and development of English ASR technology.
For more details, please refer to the link: URL
# Specifications
## F... | [
"# Dataset Card for Nexdata/English_Pronunciation_Dictionary",
"## Description\nThe data contains 500,113 entries. All words and pronunciations are produced by English linguists. It can be used in the research and development of English ASR technology.\n\nFor more details, please refer to the link: URL",
"# Spe... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-English #region-us \n",
"# Dataset Card for Nexdata/English_Pronunciation_Dictionary",
"## Description\nThe data contains 500,113 entries. All words and pronunciations are produced by English linguists. It can be used in the research and development... | [
26,
19,
50,
3,
4,
16,
3,
5,
9
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #language-English #region-us \n# Dataset Card for Nexdata/English_Pronunciation_Dictionary## Description\nThe data contains 500,113 entries. All words and pronunciations are produced by English linguists. It can be used in the research and development of... |
b5689f064a2d6f125b59252a3a1ca3d481b2ab1f | # Dataset Card for Nexdata/Korean_Pronunciation_Dictionary
## Description
The data contains 444,202 entries. All words and pronunciations are produced by Korean linguists. It can be used in the research and development of Korean ASR technology.
For more details, please refer to the link: https://www.nexdata.ai/datase... | Nexdata/Korean_Pronunciation_Dictionary | [
"task_categories:automatic-speech-recognition",
"language:ko",
"region:us"
] | 2023-11-08T08:18:47+00:00 | {"language": ["ko"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:16:18+00:00 | [] | [
"ko"
] | TAGS
#task_categories-automatic-speech-recognition #language-Korean #region-us
| # Dataset Card for Nexdata/Korean_Pronunciation_Dictionary
## Description
The data contains 444,202 entries. All words and pronunciations are produced by Korean linguists. It can be used in the research and development of Korean ASR technology.
For more details, please refer to the link: URL
# Specifications
## Form... | [
"# Dataset Card for Nexdata/Korean_Pronunciation_Dictionary",
"## Description\nThe data contains 444,202 entries. All words and pronunciations are produced by Korean linguists. It can be used in the research and development of Korean ASR technology.\n\nFor more details, please refer to the link: URL",
"# Specif... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Korean #region-us \n",
"# Dataset Card for Nexdata/Korean_Pronunciation_Dictionary",
"## Description\nThe data contains 444,202 entries. All words and pronunciations are produced by Korean linguists. It can be used in the research and development of... | [
27,
20,
51,
3,
4,
16,
3,
12,
9
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #language-Korean #region-us \n# Dataset Card for Nexdata/Korean_Pronunciation_Dictionary## Description\nThe data contains 444,202 entries. All words and pronunciations are produced by Korean linguists. It can be used in the research and development of Ko... |
0b2554a048d186f10cd657d7f738ac0b8b63948b | # Dataset Card for "allergy_type"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Eitanli/allergy_type | [
"region:us"
] | 2023-11-08T08:21:13+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "recipe", "dtype": "string"}, {"name": "allergy_type", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 87345218, "num_examples": 60000}], "download_size": 44224668, "dataset_size": 87345218}, "configs": [{"config_name": "default", ... | 2023-11-09T22:08:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "allergy_type"
More Information needed | [
"# Dataset Card for \"allergy_type\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"allergy_type\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"allergy_type\"\n\nMore Information needed"
] |
23034b046c303be24a03ebbac37e5ba464185f26 | # Dataset Card for "100-sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | IndonesiaAI/100-sample | [
"region:us"
] | 2023-11-08T08:37:32+00:00 | {"dataset_info": {"features": [{"name": "qid", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "metadata", "sequence": "string"}, {"name": "response_j", "dtype": "string"}, {"name": "response_k", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 266... | 2023-11-08T08:37:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "100-sample"
More Information needed | [
"# Dataset Card for \"100-sample\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"100-sample\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"100-sample\"\n\nMore Information needed"
] |
04146f3b0283fc833e32f920d1c298e078e53205 | # Dataset Card for "1000-sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | IndonesiaAI/1000-sample | [
"region:us"
] | 2023-11-08T08:43:44+00:00 | {"dataset_info": {"features": [{"name": "qid", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "metadata", "sequence": "string"}, {"name": "response_j", "dtype": "string"}, {"name": "response_k", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 266... | 2023-11-08T08:51:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "1000-sample"
More Information needed | [
"# Dataset Card for \"1000-sample\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"1000-sample\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"1000-sample\"\n\nMore Information needed"
] |
d6d452a5c9e3dfd8f778a214830e5cf8cc445b2d | # Dataset Card for "character-profiles-romance-prepare"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuancj/character-profiles-romance-prepare | [
"region:us"
] | 2023-11-08T08:54:21+00:00 | {"dataset_info": {"features": [], "splits": [{"name": "train", "num_bytes": 0, "num_examples": 0}], "download_size": 0, "dataset_size": 0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-08T08:56:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "character-profiles-romance-prepare"
More Information needed | [
"# Dataset Card for \"character-profiles-romance-prepare\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"character-profiles-romance-prepare\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"character-profiles-romance-prepare\"\n\nMore Information needed"
] |
43f964d8d27383cc253a4deb21ae9fe124868088 | # Dataset Card for "creator"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mhenrichsen/creator | [
"region:us"
] | 2023-11-08T09:20:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 184006, "num_examples": 1000}], "download_size": 10392, "dataset_size": 184006}, "configs": [{"confi... | 2023-12-12T20:46:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "creator"
More Information needed | [
"# Dataset Card for \"creator\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"creator\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"creator\"\n\nMore Information needed"
] |
b2df119d685a1907ba5d8212a4031fe9f8935990 | # Dataset Card for "character-profiles-romance-output"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | baixue6269/character-profiles-romance-output | [
"region:us"
] | 2023-11-08T09:28:13+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "categories", "sequence": "string"}, {"name": "personalities", "sequence": "string"}, {"name": "description", "dtype": "string"}, {"name": "conversation", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}],... | 2023-11-08T10:00:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "character-profiles-romance-output"
More Information needed | [
"# Dataset Card for \"character-profiles-romance-output\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"character-profiles-romance-output\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"character-profiles-romance-output\"\n\nMore Information needed"
] |
d334866cc19f9f0c1f70e219e0d01433c1bedc23 | # Dataset Card for "audio_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ducha07/vn_news_audio | [
"region:us"
] | 2023-11-08T09:33:59+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "Unnamed: 0", "dtype": "int64"}, {"name": "start_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 573339872.698, "num_examples": 1490... | 2023-11-09T05:00:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "audio_test"
More Information needed | [
"# Dataset Card for \"audio_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"audio_test\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"audio_test\"\n\nMore Information needed"
] |
1bd8dd103bfe8ce28ed5aca2dc5859c2f0954120 | # Dataset Card for "character-profiles-romance-prepare2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuancj/character-profiles-romance-prepare2 | [
"region:us"
] | 2023-11-08T09:34:07+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "categories", "sequence": "string"}, {"name": "personalities", "sequence": "string"}, {"name": "description", "dtype": "string"}, {"name": "conversation", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}],... | 2023-11-08T11:25:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "character-profiles-romance-prepare2"
More Information needed | [
"# Dataset Card for \"character-profiles-romance-prepare2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"character-profiles-romance-prepare2\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"character-profiles-romance-prepare2\"\n\nMore Information needed"
] |
64a48a099da3a365df68fa9de313224f4258108c | # Dataset Card for "bw_spec_cls_80"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/bw_spec_cls_80 | [
"region:us"
] | 2023-11-08T09:58:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "10", "1": "1039", "2": "1040", "3": "1082", "4": "1083", "5": "1102", "6": "1193", "7": "11... | 2023-11-08T09:58:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bw_spec_cls_80"
More Information needed | [
"# Dataset Card for \"bw_spec_cls_80\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bw_spec_cls_80\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bw_spec_cls_80\"\n\nMore Information needed"
] |
cf5cd0c6359aae9d9a4dcb3c7f797e73b9918d14 |
# Dataset with Conways Game of Life
[Wikipedia - Game of life](https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life)
This dataset contains 42300 items in total. There are 9 curriculums each containing 4700 items.
The images are between `3x3` and `14x14`.
Each item in this dataset is a markdown file.
The markdown... | neoneye/gameoflife-v1 | [
"task_categories:image-to-image",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | 2023-11-08T10:02:15+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["image-to-image"]} | 2023-11-08T10:56:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-image #size_categories-10K<n<100K #language-English #license-mit #region-us
|
# Dataset with Conways Game of Life
Wikipedia - Game of life
This dataset contains 42300 items in total. There are 9 curriculums each containing 4700 items.
The images are between '3x3' and '14x14'.
Each item in this dataset is a markdown file.
The markdown file has these sections: 'Input', 'Output without wrap',... | [
"# Dataset with Conways Game of Life\n\nWikipedia - Game of life\n\nThis dataset contains 42300 items in total. There are 9 curriculums each containing 4700 items.\n\nThe images are between '3x3' and '14x14'.\n\nEach item in this dataset is a markdown file.\n\nThe markdown file has these sections: 'Input', 'Output ... | [
"TAGS\n#task_categories-image-to-image #size_categories-10K<n<100K #language-English #license-mit #region-us \n",
"# Dataset with Conways Game of Life\n\nWikipedia - Game of life\n\nThis dataset contains 42300 items in total. There are 9 curriculums each containing 4700 items.\n\nThe images are between '3x3' and ... | [
39,
165
] | [
"passage: TAGS\n#task_categories-image-to-image #size_categories-10K<n<100K #language-English #license-mit #region-us \n# Dataset with Conways Game of Life\n\nWikipedia - Game of life\n\nThis dataset contains 42300 items in total. There are 9 curriculums each containing 4700 items.\n\nThe images are between '3x3' a... |
4a752628c8b0939f35f6cecfc30a6cf29274380e | From:
@article{10.1038/s42256-022-00580-7,
year = {2022},
title = {{Large-scale chemical language representations capture molecular structure and properties}},
author = {Ross, Jerret and Belgodere, Brian and Chenthamarakshan, Vijil and Padhi, Inkit and Mroueh, Youssef and Das, Payel},
journal = {Nature Machine Intellig... | rebe121314/SMILES_vocab | [
"region:us"
] | 2023-11-08T10:04:13+00:00 | {} | 2023-11-08T10:06:39+00:00 | [] | [] | TAGS
#region-us
| From:
@article{10.1038/s42256-022-00580-7,
year = {2022},
title = {{Large-scale chemical language representations capture molecular structure and properties}},
author = {Ross, Jerret and Belgodere, Brian and Chenthamarakshan, Vijil and Padhi, Inkit and Mroueh, Youssef and Das, Payel},
journal = {Nature Machine Intellig... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
b166d3dd7b50d3f08e3705644505f5975d0deea5 | # Dataset Card for "xlsum_data-temario_results"
rouge= {'rouge1': 0.12886566520740067, 'rouge2': 0.0401378002982877, 'rougeL': 0.08139771961618532, 'rougeLsum': 0.08139771961618532}
bert= {'precision': 0.6117284238130789, 'recall': 0.7258543477407315, 'f1': 0.663668632374408}
mover = 0.5370672509069591 | arthurmluz/xlsum_data-temario_results | [
"region:us"
] | 2023-11-08T10:16:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "f... | 2023-11-13T20:18:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xlsum_data-temario_results"
rouge= {'rouge1': 0.12886566520740067, 'rouge2': 0.0401378002982877, 'rougeL': 0.08139771961618532, 'rougeLsum': 0.08139771961618532}
bert= {'precision': 0.6117284238130789, 'recall': 0.7258543477407315, 'f1': 0.663668632374408}
mover = 0.5370672509069591 | [
"# Dataset Card for \"xlsum_data-temario_results\"\n\nrouge= {'rouge1': 0.12886566520740067, 'rouge2': 0.0401378002982877, 'rougeL': 0.08139771961618532, 'rougeLsum': 0.08139771961618532}\n\nbert= {'precision': 0.6117284238130789, 'recall': 0.7258543477407315, 'f1': 0.663668632374408}\n\nmover = 0.5370672509069591... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"xlsum_data-temario_results\"\n\nrouge= {'rouge1': 0.12886566520740067, 'rouge2': 0.0401378002982877, 'rougeL': 0.08139771961618532, 'rougeLsum': 0.08139771961618532}\n\nbert= {'precision': 0.6117284238130789, 'recall': 0.7258543477407315, 'f1': 0.663668632374408}\n\nmo... | [
6,
134
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"xlsum_data-temario_results\"\n\nrouge= {'rouge1': 0.12886566520740067, 'rouge2': 0.0401378002982877, 'rougeL': 0.08139771961618532, 'rougeLsum': 0.08139771961618532}\n\nbert= {'precision': 0.6117284238130789, 'recall': 0.7258543477407315, 'f1': 0.663668632374408}\n\... |
bbf481678d558606b3254f47fd846a5a049bc41c | # Dataset Card for "chaiverse_lora_testing_IO"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ebony59/chaiverse_lora_testing_fandom_IO | [
"region:us"
] | 2023-11-08T10:29:48+00:00 | {"dataset_info": {"features": [{"name": "input_text", "dtype": "string"}, {"name": "output_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 149058.0, "num_examples": 100}], "download_size": 96520, "dataset_size": 149058.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "p... | 2023-11-08T10:29:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chaiverse_lora_testing_IO"
More Information needed | [
"# Dataset Card for \"chaiverse_lora_testing_IO\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"chaiverse_lora_testing_IO\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"chaiverse_lora_testing_IO\"\n\nMore Information needed"
] |
2a25846b689505cf0932744bfb87f74ad9012642 | # Dataset Card for "bw_spec_cls_80_00"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/bw_spec_cls_80_00 | [
"region:us"
] | 2023-11-08T10:36:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "10", "1": "1039", "2": "1040", "3": "1082", "4": "1083", "5": "1102", "6": "1193", "7": "11... | 2023-11-08T10:36:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bw_spec_cls_80_00"
More Information needed | [
"# Dataset Card for \"bw_spec_cls_80_00\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bw_spec_cls_80_00\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bw_spec_cls_80_00\"\n\nMore Information needed"
] |
2453a17b88e7f0698870346fa60c4d6b94dd1576 | # Dataset Card for "orca-unanswerable"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nguyenthanhdo/orca-unanswerable | [
"region:us"
] | 2023-11-08T10:41:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46528256.6562878, "num_examples": 27280}], "download_size": 33519705, "dataset_size": 4652... | 2023-11-08T10:41:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "orca-unanswerable"
More Information needed | [
"# Dataset Card for \"orca-unanswerable\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"orca-unanswerable\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"orca-unanswerable\"\n\nMore Information needed"
] |
996994452f4b5cddf923835fbe9441d9acb10e26 | # Dataset Card for "bw_spec_cls_80_01"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/bw_spec_cls_80_01 | [
"region:us"
] | 2023-11-08T10:46:04+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "1686", "1": "1687", "2": "1688", "3": "1689", "4": "1701", "5": "1702", "6": "1703", "7": "... | 2023-11-08T10:46:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bw_spec_cls_80_01"
More Information needed | [
"# Dataset Card for \"bw_spec_cls_80_01\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bw_spec_cls_80_01\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bw_spec_cls_80_01\"\n\nMore Information needed"
] |
c71217d4b7b2c421bd51bbc80c576b43d365c066 | # Dataset Card for Nexdata/English-Japanese_Parallel_Corpus_Data
## Description
The 850,000 English Japanese Parallel Corpus Data is a bilingual text is stored in text format. It covers multiple fields such as tourism, medical treatment, daily life, news, etc. average English sentence 23 words. The data desensitizatio... | Nexdata/English-Japanese_Parallel_Corpus_Data | [
"task_categories:translation",
"language:en",
"language:ja",
"region:us"
] | 2023-11-08T10:47:40+00:00 | {"language": ["en", "ja"], "task_categories": ["translation"]} | 2023-11-10T07:15:01+00:00 | [] | [
"en",
"ja"
] | TAGS
#task_categories-translation #language-English #language-Japanese #region-us
| # Dataset Card for Nexdata/English-Japanese_Parallel_Corpus_Data
## Description
The 850,000 English Japanese Parallel Corpus Data is a bilingual text is stored in text format. It covers multiple fields such as tourism, medical treatment, daily life, news, etc. average English sentence 23 words. The data desensitizatio... | [
"# Dataset Card for Nexdata/English-Japanese_Parallel_Corpus_Data",
"## Description\nThe 850,000 English Japanese Parallel Corpus Data is a bilingual text is stored in text format. It covers multiple fields such as tourism, medical treatment, daily life, news, etc. average English sentence 23 words. The data dese... | [
"TAGS\n#task_categories-translation #language-English #language-Japanese #region-us \n",
"# Dataset Card for Nexdata/English-Japanese_Parallel_Corpus_Data",
"## Description\nThe 850,000 English Japanese Parallel Corpus Data is a bilingual text is stored in text format. It covers multiple fields such as tourism,... | [
25,
23,
92,
3,
5,
11,
29,
5,
6,
5,
9
] | [
"passage: TAGS\n#task_categories-translation #language-English #language-Japanese #region-us \n# Dataset Card for Nexdata/English-Japanese_Parallel_Corpus_Data## Description\nThe 850,000 English Japanese Parallel Corpus Data is a bilingual text is stored in text format. It covers multiple fields such as tourism, me... |
e892970f94423eb6d9a93c15635e8bf875687753 | # Dataset Card for Nexdata/English-Korean_Parallel_Corpus_Data
## Description
English and Korean parallel corpus, 1340,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and other fields.
... | Nexdata/English-Korean_Parallel_Corpus_Data | [
"task_categories:translation",
"language:en",
"language:ko",
"region:us"
] | 2023-11-08T10:49:12+00:00 | {"language": ["en", "ko"], "task_categories": ["translation"]} | 2023-11-10T07:13:51+00:00 | [] | [
"en",
"ko"
] | TAGS
#task_categories-translation #language-English #language-Korean #region-us
| # Dataset Card for Nexdata/English-Korean_Parallel_Corpus_Data
## Description
English and Korean parallel corpus, 1340,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and other fields.
... | [
"# Dataset Card for Nexdata/English-Korean_Parallel_Corpus_Data",
"## Description\nEnglish and Korean parallel corpus, 1340,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and othe... | [
"TAGS\n#task_categories-translation #language-English #language-Korean #region-us \n",
"# Dataset Card for Nexdata/English-Korean_Parallel_Corpus_Data",
"## Description\nEnglish and Korean parallel corpus, 1340,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; i... | [
24,
22,
61,
3,
5,
10,
16,
6,
5,
6,
9
] | [
"passage: TAGS\n#task_categories-translation #language-English #language-Korean #region-us \n# Dataset Card for Nexdata/English-Korean_Parallel_Corpus_Data## Description\nEnglish and Korean parallel corpus, 1340,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it c... |
3e4d8c75fe1b2429e0b26d42231416b8be32b0ce | # Dataset Card for Nexdata/Japanese-English_Parallel_Corpus_Data
## Description
Japanese and English parallel corpus, 380,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and other field... | Nexdata/Japanese-English_Parallel_Corpus_Data | [
"task_categories:translation",
"language:ja",
"region:us"
] | 2023-11-08T10:50:47+00:00 | {"language": ["ja"], "task_categories": ["translation"]} | 2023-11-10T07:13:07+00:00 | [] | [
"ja"
] | TAGS
#task_categories-translation #language-Japanese #region-us
| # Dataset Card for Nexdata/Japanese-English_Parallel_Corpus_Data
## Description
Japanese and English parallel corpus, 380,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and other field... | [
"# Dataset Card for Nexdata/Japanese-English_Parallel_Corpus_Data",
"## Description\nJapanese and English parallel corpus, 380,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and o... | [
"TAGS\n#task_categories-translation #language-Japanese #region-us \n",
"# Dataset Card for Nexdata/Japanese-English_Parallel_Corpus_Data",
"## Description\nJapanese and English parallel corpus, 380,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a ba... | [
21,
23,
61,
3,
5,
9,
15,
5,
5,
9
] | [
"passage: TAGS\n#task_categories-translation #language-Japanese #region-us \n# Dataset Card for Nexdata/Japanese-English_Parallel_Corpus_Data## Description\nJapanese and English parallel corpus, 380,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base ... |
39bce3e50d55c02687ea7f1b5c7f842fe19521bf | # Dataset Card for Nexdata/Chinese-English_Parallel_Corpus_Data
## Description
3,060,000 sets of parallel translation corpus between Chinese and English. It is stored in txt files. It covers files like travel, medicine, daily and TV play. Data cleaning, desensitization, and quality inspection have been carried out. It... | Nexdata/Chinese-English_Parallel_Corpus_Data | [
"task_categories:translation",
"language:zh",
"language:en",
"region:us"
] | 2023-11-08T10:52:13+00:00 | {"language": ["zh", "en"], "task_categories": ["translation"]} | 2023-11-10T07:13:30+00:00 | [] | [
"zh",
"en"
] | TAGS
#task_categories-translation #language-Chinese #language-English #region-us
| # Dataset Card for Nexdata/Chinese-English_Parallel_Corpus_Data
## Description
3,060,000 sets of parallel translation corpus between Chinese and English. It is stored in txt files. It covers files like travel, medicine, daily and TV play. Data cleaning, desensitization, and quality inspection have been carried out. It... | [
"# Dataset Card for Nexdata/Chinese-English_Parallel_Corpus_Data",
"## Description\n3,060,000 sets of parallel translation corpus between Chinese and English. It is stored in txt files. It covers files like travel, medicine, daily and TV play. Data cleaning, desensitization, and quality inspection have been carri... | [
"TAGS\n#task_categories-translation #language-Chinese #language-English #region-us \n",
"# Dataset Card for Nexdata/Chinese-English_Parallel_Corpus_Data",
"## Description\n3,060,000 sets of parallel translation corpus between Chinese and English. It is stored in txt files. It covers files like travel, medicine,... | [
24,
22,
87,
3,
5,
9,
24,
5,
5,
9
] | [
"passage: TAGS\n#task_categories-translation #language-Chinese #language-English #region-us \n# Dataset Card for Nexdata/Chinese-English_Parallel_Corpus_Data## Description\n3,060,000 sets of parallel translation corpus between Chinese and English. It is stored in txt files. It covers files like travel, medicine, da... |
52a1c3f2b0dba5a447e716fa7e2be63ad1ac7622 | # Dataset Card for Nexdata/Traditional_Chinese_Oral_Message_Data
## Description
Traditional Chinese SMS corpus, 10 million in total, real traditional Chinese spoken language text data; only contains text messages; the content is stored in txt format; the data set can be used for natural language understanding and rela... | Nexdata/Traditional_Chinese_Oral_Message_Data | [
"task_categories:conversational",
"language:zh",
"region:us"
] | 2023-11-08T10:53:38+00:00 | {"language": ["zh"], "task_categories": ["conversational"]} | 2023-11-10T07:12:42+00:00 | [] | [
"zh"
] | TAGS
#task_categories-conversational #language-Chinese #region-us
| # Dataset Card for Nexdata/Traditional_Chinese_Oral_Message_Data
## Description
Traditional Chinese SMS corpus, 10 million in total, real traditional Chinese spoken language text data; only contains text messages; the content is stored in txt format; the data set can be used for natural language understanding and rela... | [
"# Dataset Card for Nexdata/Traditional_Chinese_Oral_Message_Data",
"## Description\nTraditional Chinese SMS corpus, 10 million in total, real traditional Chinese spoken language text data; only contains text messages; the content is stored in txt format; the data set can be used for natural language understandin... | [
"TAGS\n#task_categories-conversational #language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Traditional_Chinese_Oral_Message_Data",
"## Description\nTraditional Chinese SMS corpus, 10 million in total, real traditional Chinese spoken language text data; only contains text messages; the content is store... | [
21,
24,
64,
3,
10,
5,
8,
5,
3,
9
] | [
"passage: TAGS\n#task_categories-conversational #language-Chinese #region-us \n# Dataset Card for Nexdata/Traditional_Chinese_Oral_Message_Data## Description\nTraditional Chinese SMS corpus, 10 million in total, real traditional Chinese spoken language text data; only contains text messages; the content is stored i... |
f4ae90e499a512a09315a0d7c9a8374ee08d94fa |
---
# Dataset Card for Nexdata/Cantonese_Script_Data
## Description
Cantonese textual data, 82 million pieces in total; data is collected from Cantonese script text; data set can be used for natural language understanding, knowledge base construction and other tasks.
For more details, please refer to the link: https... | Nexdata/Cantonese_Script_Data | [
"region:us"
] | 2023-11-08T10:55:02+00:00 | {} | 2023-11-10T07:11:31+00:00 | [] | [] | TAGS
#region-us
|
---
# Dataset Card for Nexdata/Cantonese_Script_Data
## Description
Cantonese textual data, 82 million pieces in total; data is collected from Cantonese script text; data set can be used for natural language understanding, knowledge base construction and other tasks.
For more details, please refer to the link: URL
... | [
"# Dataset Card for Nexdata/Cantonese_Script_Data",
"## Description\nCantonese textual data, 82 million pieces in total; data is collected from Cantonese script text; data set can be used for natural language understanding, knowledge base construction and other tasks.\n\nFor more details, please refer to the link... | [
"TAGS\n#region-us \n",
"# Dataset Card for Nexdata/Cantonese_Script_Data",
"## Description\nCantonese textual data, 82 million pieces in total; data is collected from Cantonese script text; data set can be used for natural language understanding, knowledge base construction and other tasks.\n\nFor more details,... | [
6,
16,
55,
3,
11,
11,
8,
5,
5,
9
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Nexdata/Cantonese_Script_Data## Description\nCantonese textual data, 82 million pieces in total; data is collected from Cantonese script text; data set can be used for natural language understanding, knowledge base construction and other tasks.\n\nFor more details, pl... |
14cb866e554161e8000eca3b5df525738ad8d03f | # Dataset Card for "bw_spec_cls_80_02"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/bw_spec_cls_80_02 | [
"region:us"
] | 2023-11-08T10:55:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "4071", "1": "4072", "2": "4073", "3": "4074", "4": "4075", "5": "4076", "6": "4077", "7": "... | 2023-11-08T10:55:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bw_spec_cls_80_02"
More Information needed | [
"# Dataset Card for \"bw_spec_cls_80_02\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bw_spec_cls_80_02\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bw_spec_cls_80_02\"\n\nMore Information needed"
] |
c85c1c38774f4bd6319283f7f1d0d23d0acbcc76 | # Dataset Card for Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes
## Description
84,516 Sentences - English Intention Annotation Data in Interactive Scenes, annotated with intent classes, including slot and slot value information; the intent field includes music, weather, date, schedule, home equipmen... | Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2023-11-08T10:56:30+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2023-11-10T07:09:51+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| # Dataset Card for Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes
## Description
84,516 Sentences - English Intention Annotation Data in Interactive Scenes, annotated with intent classes, including slot and slot value information; the intent field includes music, weather, date, schedule, home equipmen... | [
"# Dataset Card for Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes",
"## Description\n84,516 Sentences - English Intention Annotation Data in Interactive Scenes, annotated with intent classes, including slot and slot value information; the intent field includes music, weather, date, schedule, hom... | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"# Dataset Card for Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes",
"## Description\n84,516 Sentences - English Intention Annotation Data in Interactive Scenes, annotated with intent classes, including slot and slot ... | [
21,
27,
75,
3,
10,
21,
4,
3,
8,
8,
9
] | [
"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n# Dataset Card for Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes## Description\n84,516 Sentences - English Intention Annotation Data in Interactive Scenes, annotated with intent classes, including slot and slot val... |
4e06b924e38f79f48f87ef099c2f6a0bc523b9d6 | # Dataset Card for Nexdata/English-Russian_Parallel_Corpus_Data
## Description
English and Russian parallel corpus, 1,080,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and other field... | Nexdata/English-Russian_Parallel_Corpus_Data | [
"task_categories:translation",
"language:ru",
"language:en",
"region:us"
] | 2023-11-08T10:58:47+00:00 | {"language": ["ru", "en"], "task_categories": ["translation"]} | 2023-11-10T07:06:43+00:00 | [] | [
"ru",
"en"
] | TAGS
#task_categories-translation #language-Russian #language-English #region-us
| # Dataset Card for Nexdata/English-Russian_Parallel_Corpus_Data
## Description
English and Russian parallel corpus, 1,080,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and other field... | [
"# Dataset Card for Nexdata/English-Russian_Parallel_Corpus_Data",
"## Description\nEnglish and Russian parallel corpus, 1,080,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data analysis, used in machine translation and o... | [
"TAGS\n#task_categories-translation #language-Russian #language-English #region-us \n",
"# Dataset Card for Nexdata/English-Russian_Parallel_Corpus_Data",
"## Description\nEnglish and Russian parallel corpus, 1,080,000 groups in total; excluded political, porn, personal information and other sensitive vocabular... | [
24,
22,
61,
3,
5,
10,
16,
6,
5,
9
] | [
"passage: TAGS\n#task_categories-translation #language-Russian #language-English #region-us \n# Dataset Card for Nexdata/English-Russian_Parallel_Corpus_Data## Description\nEnglish and Russian parallel corpus, 1,080,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; ... |
a6473ae6c27849c3d78da7f5630bf5fa652f26df | # Dataset Card for "holiday"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Thefoodprocessor/holiday | [
"region:us"
] | 2023-11-08T10:59:17+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "recipe", "dtype": "string"}, {"name": "holiday", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 107496782, "num_examples": 74465... | 2023-11-13T10:46:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "holiday"
More Information needed | [
"# Dataset Card for \"holiday\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"holiday\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"holiday\"\n\nMore Information needed"
] |
0ddd9e88ab90c231a92667633066d02eb3eb5d60 | # Dataset Card for Nexdata/Chinese-Japanese_Parallel_Corpus_Data
## Description
9.83 Million Pairs of Sentences - Chinese-Japanese Parallel Corpus Data be stored in txt format. It covers multiple fields including general, IT, news, patent, and international engine. The data desensitization and quality checking had bee... | Nexdata/Chinese-Japanese_Parallel_Corpus_Data | [
"task_categories:translation",
"language:ja",
"language:zh",
"region:us"
] | 2023-11-08T11:00:00+00:00 | {"language": ["ja", "zh"], "task_categories": ["translation"]} | 2023-11-10T07:23:13+00:00 | [] | [
"ja",
"zh"
] | TAGS
#task_categories-translation #language-Japanese #language-Chinese #region-us
| # Dataset Card for Nexdata/Chinese-Japanese_Parallel_Corpus_Data
## Description
9.83 Million Pairs of Sentences - Chinese-Japanese Parallel Corpus Data be stored in txt format. It covers multiple fields including general, IT, news, patent, and international engine. The data desensitization and quality checking had bee... | [
"# Dataset Card for Nexdata/Chinese-Japanese_Parallel_Corpus_Data",
"## Description\n9.83 Million Pairs of Sentences - Chinese-Japanese Parallel Corpus Data be stored in txt format. It covers multiple fields including general, IT, news, patent, and international engine. The data desensitization and quality checki... | [
"TAGS\n#task_categories-translation #language-Japanese #language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Chinese-Japanese_Parallel_Corpus_Data",
"## Description\n9.83 Million Pairs of Sentences - Chinese-Japanese Parallel Corpus Data be stored in txt format. It covers multiple fields including gener... | [
26,
24,
89,
3,
4,
10,
18,
5,
5,
6,
9
] | [
"passage: TAGS\n#task_categories-translation #language-Japanese #language-Chinese #region-us \n# Dataset Card for Nexdata/Chinese-Japanese_Parallel_Corpus_Data## Description\n9.83 Million Pairs of Sentences - Chinese-Japanese Parallel Corpus Data be stored in txt format. It covers multiple fields including general,... |
95f1bfe18e7365bf288f696837c3b06afb060bd4 | # Dataset Card for Nexdata/Chinese-Korean_Parallel_Corpus_Data
## Description
12,820,000 sets of parallel translation corpus between China and Korea, which are stored in txt files. It covers many fields including spoken language, traveling, news, and finance. Data cleaning, desensitization, and quality inspection have... | Nexdata/Chinese-Korean_Parallel_Corpus_Data | [
"task_categories:translation",
"language:ko",
"region:us"
] | 2023-11-08T11:01:33+00:00 | {"language": ["ko"], "task_categories": ["translation"]} | 2023-11-10T07:05:57+00:00 | [] | [
"ko"
] | TAGS
#task_categories-translation #language-Korean #region-us
| # Dataset Card for Nexdata/Chinese-Korean_Parallel_Corpus_Data
## Description
12,820,000 sets of parallel translation corpus between China and Korea, which are stored in txt files. It covers many fields including spoken language, traveling, news, and finance. Data cleaning, desensitization, and quality inspection have... | [
"# Dataset Card for Nexdata/Chinese-Korean_Parallel_Corpus_Data",
"## Description\n12,820,000 sets of parallel translation corpus between China and Korea, which are stored in txt files. It covers many fields including spoken language, traveling, news, and finance. Data cleaning, desensitization, and quality inspe... | [
"TAGS\n#task_categories-translation #language-Korean #region-us \n",
"# Dataset Card for Nexdata/Chinese-Korean_Parallel_Corpus_Data",
"## Description\n12,820,000 sets of parallel translation corpus between China and Korea, which are stored in txt files. It covers many fields including spoken language, travelin... | [
20,
23,
94,
3,
5,
10,
28,
5,
6,
5,
9
] | [
"passage: TAGS\n#task_categories-translation #language-Korean #region-us \n# Dataset Card for Nexdata/Chinese-Korean_Parallel_Corpus_Data## Description\n12,820,000 sets of parallel translation corpus between China and Korea, which are stored in txt files. It covers many fields including spoken language, traveling, ... |
a1b8e0c6c2dc7a8e70cc8086cfd169da458a92e9 | # Dataset Card for "cuisine_type"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Thefoodprocessor/cuisine_type | [
"region:us"
] | 2023-11-08T11:01:51+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "recipe", "dtype": "string"}, {"name": "cuisine_type", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 107643157, "num_examples": ... | 2023-11-08T11:01:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cuisine_type"
More Information needed | [
"# Dataset Card for \"cuisine_type\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cuisine_type\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cuisine_type\"\n\nMore Information needed"
] |
fc9675d107bd130c5580cac1b88e16cc5561d52e | # Dataset Card for "chaiverse_lora_testing_fandom_IO"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ChaiML/chaiverse_lora_testing_fandom_IO | [
"region:us"
] | 2023-11-08T11:02:18+00:00 | {"dataset_info": {"features": [{"name": "input_text", "dtype": "string"}, {"name": "output_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 149058, "num_examples": 100}], "download_size": 96520, "dataset_size": 149058}} | 2023-11-08T11:02:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chaiverse_lora_testing_fandom_IO"
More Information needed | [
"# Dataset Card for \"chaiverse_lora_testing_fandom_IO\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"chaiverse_lora_testing_fandom_IO\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"chaiverse_lora_testing_fandom_IO\"\n\nMore Information needed"
] |
755a9ec678ab7b98b2566301e822b8d653f0b716 | # Dataset Card for "bw_spec_cls_80_03"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/bw_spec_cls_80_03 | [
"region:us"
] | 2023-11-08T11:04:28+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "6342", "1": "6354", "2": "6357", "3": "6360", "4": "6366", "5": "6367", "6": "6370", "7": "... | 2023-11-08T11:04:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bw_spec_cls_80_03"
More Information needed | [
"# Dataset Card for \"bw_spec_cls_80_03\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bw_spec_cls_80_03\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bw_spec_cls_80_03\"\n\nMore Information needed"
] |
014e98dd6e1e0e8739e0a66a93fd05903b56d961 | # Dataset Card for "check_other_demand_dataset_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | quocanh34/check_other_demand_dataset_v2 | [
"region:us"
] | 2023-11-08T11:06:39+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 7411.640211640211, "num_examp... | 2023-11-08T11:06:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "check_other_demand_dataset_v2"
More Information needed | [
"# Dataset Card for \"check_other_demand_dataset_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"check_other_demand_dataset_v2\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"check_other_demand_dataset_v2\"\n\nMore Information needed"
] |
5d46d5cbfab84e192d2cdb0ffd6e5f914e98921b | # Dataset Card for "bw_spec_cls_80_04"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/bw_spec_cls_80_04 | [
"region:us"
] | 2023-11-08T11:13:33+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "10186", "1": "10192", "2": "10374", "3": "10375", "4": "10376", "5": "10377", "6": "10435",... | 2023-11-08T11:13:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bw_spec_cls_80_04"
More Information needed | [
"# Dataset Card for \"bw_spec_cls_80_04\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bw_spec_cls_80_04\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bw_spec_cls_80_04\"\n\nMore Information needed"
] |
ba68d6d5068dc2494ada96bd0f794f232c3bacf4 |
# Catalan Common Voice v13 - metadata annotated version
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#sup... | projecte-aina/annotated_catalan_common_voice | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"task_categories:audio-to-audio",
"task_ids:audio-language-identification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_d... | 2023-11-08T11:29:26+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ca"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|common_voice"], "task_categories": ["automatic-speech-recognition", "audio-classification", "audio... | 2024-02-12T16:55:20+00:00 | [] | [
"ca"
] | TAGS
#task_categories-automatic-speech-recognition #task_categories-audio-classification #task_categories-audio-to-audio #task_ids-audio-language-identification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-extended|common_voice #... | Catalan Common Voice v13 - metadata annotated version
=====================================================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Da... | [
"### Dataset Summary\n\n\nThis is a version of the Catalan sentences of the Common Voice corpus (v13) with the metadata (gender and accent) of the speakers with more than 1200 seconds recorded annotated by a team of experts. The overall quality of the recordings has also been annotated for this speakers.",
"### S... | [
"TAGS\n#task_categories-automatic-speech-recognition #task_categories-audio-classification #task_categories-audio-to-audio #task_ids-audio-language-identification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-extended|common_v... | [
130,
71,
16,
20,
6,
406,
25,
136,
19,
159,
25,
200,
62,
180,
52,
61,
91,
19,
43,
21,
24
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #task_categories-audio-classification #task_categories-audio-to-audio #task_ids-audio-language-identification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-extended... |
4acd7eb4f17c212236364608942a76152d34af36 | ### Human: Objectifs · Connaitre les règles de prescription et de surveillance des antiagrégants plaquettaires, des anticoagulants (héparines, antivitamine K, anticoagulants oraux directs) et des thrombolytiques Planifier la conduite devant une hémorragie grave liée aux antithrombosants ### ASSISTANT: Q: Quels sont les... | lotfi4000/pre-transformed-medzoom | [
"region:us"
] | 2023-11-08T11:29:53+00:00 | {} | 2023-11-08T11:49:01+00:00 | [] | [] | TAGS
#region-us
| ### Human: Objectifs · Connaitre les règles de prescription et de surveillance des antiagrégants plaquettaires, des anticoagulants (héparines, antivitamine K, anticoagulants oraux directs) et des thrombolytiques Planifier la conduite devant une hémorragie grave liée aux antithrombosants ### ASSISTANT: Q: Quels sont les... | [
"### Human: Objectifs · Connaitre les règles de prescription et de surveillance des antiagrégants plaquettaires, des anticoagulants (héparines, antivitamine K, anticoagulants oraux directs) et des thrombolytiques Planifier la conduite devant une hémorragie grave liée aux antithrombosants ### ASSISTANT: Q: Quels son... | [
"TAGS\n#region-us \n",
"### Human: Objectifs · Connaitre les règles de prescription et de surveillance des antiagrégants plaquettaires, des anticoagulants (héparines, antivitamine K, anticoagulants oraux directs) et des thrombolytiques Planifier la conduite devant une hémorragie grave liée aux antithrombosants ##... | [
6,
14731
] | [
"passage: TAGS\n#region-us \n"
] |
e01bdec0e690863260cb92ff94530a8e373847fc | # Dataset Card for "ECC_crackdataset_withsplit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rishitunu/ECC_crackdataset_withsplit | [
"region:us"
] | 2023-11-08T11:31:16+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 9770063.344, "num_examples": ... | 2023-11-08T11:36:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ECC_crackdataset_withsplit"
More Information needed | [
"# Dataset Card for \"ECC_crackdataset_withsplit\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ECC_crackdataset_withsplit\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ECC_crackdataset_withsplit\"\n\nMore Information needed"
] |
52c4930d8d36dfd8de6a149a9a897e2134e1380b | # Dataset Card for "medzoom-llama2-30"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lotfi4000/medzoom-llama2-30 | [
"region:us"
] | 2023-11-08T11:55:42+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 52668, "num_examples": 30}], "download_size": 38238, "dataset_size": 52668}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-09T09:30:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medzoom-llama2-30"
More Information needed | [
"# Dataset Card for \"medzoom-llama2-30\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"medzoom-llama2-30\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"medzoom-llama2-30\"\n\nMore Information needed"
] |
3537912184a271020c8b40e178973d6a70c70152 |
# Dataset Card for Evaluation run of Weyaxi/OpenOrca-Nebula-7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Weyaxi/OpenOrca-Nebula-7B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dat... | open-llm-leaderboard/details_Weyaxi__OpenOrca-Nebula-7B | [
"region:us"
] | 2023-11-08T12:00:48+00:00 | {"pretty_name": "Evaluation run of Weyaxi/OpenOrca-Nebula-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Weyaxi/OpenOrca-Nebula-7B](https://huggingface.co/Weyaxi/OpenOrca-Nebula-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard... | 2023-11-08T12:01:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Weyaxi/OpenOrca-Nebula-7B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model Weyaxi/OpenOrca-Nebula-7B on the Open LLM Leaderb... | [
"# Dataset Card for Evaluation run of Weyaxi/OpenOrca-Nebula-7B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model Weyaxi/OpenOrca-Nebula-7B on ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of Weyaxi/OpenOrca-Nebula-7B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model Weya... | [
6,
21,
31,
170,
67,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
5
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Weyaxi/OpenOrca-Nebula-7B## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL### Dataset Summary\n\nDataset automatically created during the evaluation run of model Weyaxi/OpenOr... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.