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b12f9c74ed307fb3cbca59a5b4c6b92c56ee86d2 | # Dataset Card for "dsum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | thefluxapp/dsum | [
"region:us"
] | 2023-11-06T20:41:31+00:00 | {"dataset_info": {"features": [{"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 55615012.0, "num_examples": 54383}], "download_size": 32278282, "dataset_size": 55615012.0}} | 2023-11-06T20:41:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dsum"
More Information needed | [
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3794975f6b7465fa0e942945a63abc1cdf13a5dd | # Dataset Card for "xlsum_data-wiki_temario_results"
rouge= {'rouge1': 0.18060656653313187, 'rouge2': 0.050040266839074324, 'rougeL': 0.11199372465907172, 'rougeLsum': 0.11199372465907172}
bert= {'precision': 0.6379963795191735, 'recall': 0.7242612442737673, 'f1': 0.6780033153523967}
mover = 0.5537799442916987 | arthurmluz/xlsum_data-wiki_temario_results | [
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#region-us
| # Dataset Card for "xlsum_data-wiki_temario_results"
rouge= {'rouge1': 0.18060656653313187, 'rouge2': 0.050040266839074324, 'rougeL': 0.11199372465907172, 'rougeLsum': 0.11199372465907172}
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62fa5cb6cd29030754f17156a727833e1df7fc8b | # Dataset Card for "esc50-clap2023-results"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | renumics/esc50-clap2023-results | [
"region:us"
] | 2023-11-06T20:45:26+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text_embedding", "sequence": "float64"}, {"name": "prediction", "dtype": {"class_label": {"names": {"0": "dog", "1": "rooster", "2": "pig", "3": "cow", "4": "frog", "5": "cat", "... | 2023-11-06T20:45:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "esc50-clap2023-results"
More Information needed | [
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c03c0470b11cbc2ec4ca461b2354e8350bdd159f | # Dataset Card for "medicationqa_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/medicationqa_train | [
"region:us"
] | 2023-11-06T20:55:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "text", "dtype": "string"}], "sp... | 2023-11-06T20:55:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medicationqa_train"
More Information needed | [
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a33e0d3478bfe3bc38b31809b4e0db60291c0c35 | # Dataset Card for "liveqa_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hippocrates/liveqa_train | [
"region:us"
] | 2023-11-06T21:00:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "text", "dtype": "string"}], "sp... | 2023-11-06T21:00:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "liveqa_train"
More Information needed | [
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7af1f65cfda81ec8b2772280e7636e277a8633da | # Dataset Card for "adoro_cinema_filmes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | celsowm/adoro_cinema_filmes | [
"region:us"
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#region-us
| # Dataset Card for "adoro_cinema_filmes"
More Information needed | [
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76811f5de053f720b7c216f0468bff0b691c4453 | ---
license: mit
# Dataset Card
**Developed by:** [More Information Needed]
**Shared by [optional]:** [More Information Needed]
**Dataset type:** [More Information Needed]
**Language(s) (NLP):** [More Information Needed]
**License:** [More Information Needed]
**Derived from dataset [optional]:** [More Information... | Taylor658/mqa1 | [
"region:us"
] | 2023-11-06T21:34:18+00:00 | {} | 2024-02-01T02:04:02+00:00 | [] | [] | TAGS
#region-us
| ---
license: mit
# Dataset Card
Developed by:
Shared by [optional]:
Dataset type:
Language(s) (NLP):
License:
Derived from dataset [optional]:
Dataset Sources [optional]
Repository:
Paper [optional]:
Demo [optional]:
Uses
Direct Use
Downstream Use [optional]
Out-of-Scope Use
Bias... | [
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e8d0ce0ace880460cd85f8b05395ac02435d67ea | currently under heavy development
---
license: mit
---
| laker-julius-misha/correlated-errors | [
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1cb3dfc5bb98d81fe56baf4ef49cc03b578bfcb7 | [HackerNoon](https://hackernoon.com) curated the internet's most cited 7M+ tech company news articles and blog posts about the 3k+ most valuable tech companies in 2022 and 2023. These stories were curated to power [HackerNoon.com/Companies](https://hackernoon.com/companies), where we update daily news on top technology... | HackerNoon/tech-company-news-data-dump | [
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bbfb250446884b38da2c961ea3f45cf07c027330 | # Dataset Card for "merged-no-pad-text-32768"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shossain/merged-no-pad-text-32768 | [
"region:us"
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#region-us
| # Dataset Card for "merged-no-pad-text-32768"
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bb54e67caa73139b20f9235db54c7fa8c8c5283a | # Dataset Card for "6f9ae809"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/6f9ae809 | [
"region:us"
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460186de8efac0863fcb7914e3d97e08a846ea25 | # Dataset Card for "e82d3dfd"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/e82d3dfd | [
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b4b05a6a80beafdbcbb44841fe42742e2bda5518 | # Dataset Card for "merged-no-pad-32768"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shossain/merged-no-pad-32768 | [
"region:us"
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23aa0d33f253c92358a53822e0deb8fb42356950 | RAG generated User interactions with GPT 3.5 | SebastianBodza/CodingConversations | [
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2d358b07693cae016e4ca465871c4f6f5eb33d7b | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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b10a664468f38f9444561fc82c4ab1fbc5f0f081 | # Dataset Card for "test1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bys2058/test1 | [
"region:us"
] | 2023-11-06T23:07:47+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11228186.0, "num_examples": 25}], "download_size": 11224331, "dataset_size": 11228186.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", ... | 2023-11-06T23:16:09+00:00 | [] | [] | TAGS
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8f17730a9a812299acf8e13423b9c2761f529ffb | # Dataset Card for "ceval_all_dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liyucheng/ceval_all_dev | [
"region:us"
] | 2023-11-06T23:15:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name": "A", "dtype": "string"}, {"name": "B", "dtype": "string"}, {"name": "C", "dtype": "string"}, {"name": "D", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "explanation", "dtype": "strin... | 2023-11-06T23:15:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ceval_all_dev"
More Information needed | [
"# Dataset Card for \"ceval_all_dev\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ceval_all_dev\"\n\nMore Information needed"
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6,
16
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"passage: TAGS\n#region-us \n# Dataset Card for \"ceval_all_dev\"\n\nMore Information needed"
] |
45bd737e179390374150f35384e04841c965dd1a | # Dataset Card for "test2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bys2058/test2 | [
"region:us"
] | 2023-11-06T23:18:28+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 632594898.5, "num_examples": 1292}], "download_size": 632383145, "dataset_size": 632594898.5}, "configs": [{"config_name": "default", "data_files": [{"split": "tra... | 2023-11-06T23:57:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test2"
More Information needed | [
"# Dataset Card for \"test2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test2\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"test2\"\n\nMore Information needed"
] |
301acc8f3f366ee8fbe3ed2b737a2011378c86f5 | # Dataset Card for "mmlu_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liyucheng/mmlu_train | [
"region:us"
] | 2023-11-06T23:25:44+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "... | 2023-11-06T23:26:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu_train"
More Information needed | [
"# Dataset Card for \"mmlu_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mmlu_train\"\n\nMore Information needed"
] | [
6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu_train\"\n\nMore Information needed"
] |
5273fb6c5af33a733a2478f5089eafc659707d08 | # Dataset Card for "zephyrJavaCucumber"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | centroIA/zephyrJavaCucumber | [
"region:us"
] | 2023-11-06T23:50:46+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "string"}, {"name": "__index_level_... | 2023-11-06T23:50:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "zephyrJavaCucumber"
More Information needed | [
"# Dataset Card for \"zephyrJavaCucumber\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"zephyrJavaCucumber\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"zephyrJavaCucumber\"\n\nMore Information needed"
] |
00a2a7027d71128cf1612a57f06d6cf83fabefac | Dataset using the bert-cased tokenizer, cutoff at 512 tokens.
Original dataset: https://huggingface.co/datasets/bookcorpus | gmongaras/book_BERT_512 | [
"region:us"
] | 2023-11-07T00:22:43+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 228229039152, "num_examples": 74004228}], "download_size": 2826157131, "dataset_size": 228229039152}, "con... | 2023-11-07T07:08:15+00:00 | [] | [] | TAGS
#region-us
| Dataset using the bert-cased tokenizer, cutoff at 512 tokens.
Original dataset: URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
1b289e670bd4f3aa0bae0171459e342d9dffae57 | # Dataset Card for "zephyrJavaCucumberv2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | centroIA/zephyrJavaCucumberv2 | [
"region:us"
] | 2023-11-07T00:29:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1128286, "num_examples": 165}],... | 2023-11-07T00:29:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "zephyrJavaCucumberv2"
More Information needed | [
"# Dataset Card for \"zephyrJavaCucumberv2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"zephyrJavaCucumberv2\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"zephyrJavaCucumberv2\"\n\nMore Information needed"
] |
7c54c745c376b16cc10db06ec54466efa40b57b5 | # Dataset Card for "autotrain-data-Nuclear_Fusion_Falcon"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pseudolab/autotrain-data-Nuclear_Fusion_Falcon | [
"region:us"
] | 2023-11-07T01:09:55+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "Magnetic Field Fluctuations", "dtype": "float64"}, {"name": "Leakage", "dtype": "float64"}, {"name": "Instabilities", "dtype": "float64"}, {"name": "Plasma Instabilities", "dtype": "float64"}, {"name": "Magnetic Field Strength", "dtype":... | 2023-11-07T01:09:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "autotrain-data-Nuclear_Fusion_Falcon"
More Information needed | [
"# Dataset Card for \"autotrain-data-Nuclear_Fusion_Falcon\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"autotrain-data-Nuclear_Fusion_Falcon\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"autotrain-data-Nuclear_Fusion_Falcon\"\n\nMore Information needed"
] |
438b2ab6754aad7f61e251c5814d9b4106a2416b |
This dataset is an unofficial split of [FEMNIST](https://github.com/TalwalkarLab/leaf/tree/master/data/femnist), researchers could generate the data by using following command line
```
./preprocess.sh -s niid --iu 0.1 --sf 0.1 -k 64 -t sample --tf 0.9 --smplseed 1 --spltseed 1
```
This dataset is converted back to .... | AnsonZhang/FEMNIST-SMALL-C | [
"license:bsd-2-clause",
"region:us"
] | 2023-11-07T01:23:31+00:00 | {"license": "bsd-2-clause"} | 2023-11-07T23:57:45+00:00 | [] | [] | TAGS
#license-bsd-2-clause #region-us
|
This dataset is an unofficial split of FEMNIST, researchers could generate the data by using following command line
This dataset is converted back to .png imagse from the generated json files for better match with huggingface style. | [] | [
"TAGS\n#license-bsd-2-clause #region-us \n"
] | [
16
] | [
"passage: TAGS\n#license-bsd-2-clause #region-us \n"
] |
1ddf7250f0e4df2cf6e5c6aa46320b0c2664b198 | # Dataset Card for "generad-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | generadaidemo/generad-dataset | [
"region:us"
] | 2023-11-07T01:33:45+00:00 | {"dataset_info": {"features": [{"name": "item", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "ad", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 947, "num_examples": 5}], "download_size": 3380, "dataset_size": 947}, "configs": [{"config_name": "default", "data_files": [{"spl... | 2023-11-07T01:33:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "generad-dataset"
More Information needed | [
"# Dataset Card for \"generad-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"generad-dataset\"\n\nMore Information needed"
] | [
6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"generad-dataset\"\n\nMore Information needed"
] |
dcff6c34d703a9da669c2c15c1bbc4f7ae7bcad1 | # Dataset Card for "color_spec_cls"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arieg/color_spec_cls | [
"region:us"
] | 2023-11-07T01:35:58+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":... | 2023-11-07T01:36:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "color_spec_cls"
More Information needed | [
"# Dataset Card for \"color_spec_cls\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"color_spec_cls\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"color_spec_cls\"\n\nMore Information needed"
] |
ef58136f227b20bd3c233b84965e7e14f9d85b45 | # Dataset Card for "bigcode-pii-pjj_checks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Vincentnien/bigcode-pii-pjj_checks | [
"region:us"
] | 2023-11-07T01:48:36+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "repo_id", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}, {"name": "index",... | 2023-11-07T01:56:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bigcode-pii-pjj_checks"
More Information needed | [
"# Dataset Card for \"bigcode-pii-pjj_checks\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bigcode-pii-pjj_checks\"\n\nMore Information needed"
] | [
6,
21
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"passage: TAGS\n#region-us \n# Dataset Card for \"bigcode-pii-pjj_checks\"\n\nMore Information needed"
] |
f987859c3814aa8f8d0da4050ad596e7e8ae93e8 | # Dataset Card for "cool_new_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lf-mlteam/cool_new_dataset | [
"region:us"
] | 2023-11-07T02:06:27+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "ad", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3926, "num_examples": 5}], "download_size": 8782, "dataset_size": 3926}, "configs": [{"config_name": "default", "data_files": [{"s... | 2023-11-07T02:06:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cool_new_dataset"
More Information needed | [
"# Dataset Card for \"cool_new_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cool_new_dataset\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cool_new_dataset\"\n\nMore Information needed"
] |
c25ba4a28d8b7c69dfd95341b1d3bf8f8f99cc50 |
This training and validation dataset is a combination of Media Frame Corpus and Philippine Frame Corpus, labeled using the Policy Issue Frames Codebook. Train-test split of 80-20.
Code_frames column contains annotations following the PolicyIssue Frames Codebook (1-15), wherein at least two(2) annotators agree with th... | jmLuis/MediaFrameCorpus-PhilippineFrameCorpus-Combined | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | 2023-11-07T02:11:31+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "MFC+PFC"} | 2023-11-07T02:24:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #region-us
|
This training and validation dataset is a combination of Media Frame Corpus and Philippine Frame Corpus, labeled using the Policy Issue Frames Codebook. Train-test split of 80-20.
Code_frames column contains annotations following the PolicyIssue Frames Codebook (1-15), wherein at least two(2) annotators agree with th... | [] | [
"TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-English #region-us \n"
] | [
33
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-English #region-us \n"
] |
cfc6efec815340b458dc331c979ad3ccb80c6b94 | # Dataset Card for "clothing_samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sparkyfina/clothing_samples | [
"region:us"
] | 2023-11-07T02:12:47+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "ad", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7237, "num_examples": 5}], "download_size": 15054, "dataset_size": 7237}, "configs": [{"config_name": "default", "data_files": [{"... | 2023-11-07T02:12:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clothing_samples"
More Information needed | [
"# Dataset Card for \"clothing_samples\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"clothing_samples\"\n\nMore Information needed"
] | [
6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"clothing_samples\"\n\nMore Information needed"
] |
592270bf75194edbe726561cc8102de94ff0f2fa | # Dataset Card for "testy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andreweduffy/testy | [
"region:us"
] | 2023-11-07T02:14:53+00:00 | {"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "document_id", "dtype": "string"}, {"name": "passage_id", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11428076, "num_examples": 6578}], "download_size": 5198408, "dataset_size": 11428... | 2023-11-07T02:44:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "testy"
More Information needed | [
"# Dataset Card for \"testy\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"testy\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"testy\"\n\nMore Information needed"
] |
861de994099a712931fa67db2d8df3a73b4345af | # Dataset Card for "webglm-qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vietgpt/webglm-qa | [
"region:us"
] | 2023-11-07T02:18:48+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 142583680, "num_examples": 43579}], "download_size": 60619763, "dataset_size": 142583680}, "configs": [{"config_name": "default", "data_f... | 2023-11-07T02:19:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "webglm-qa"
More Information needed | [
"# Dataset Card for \"webglm-qa\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"webglm-qa\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"webglm-qa\"\n\nMore Information needed"
] |
ed000db0d474e6f9800680dbd8441512efbb64e0 |
# KoRAE Dataset
<p align="center"><img src="https://cdn-uploads.huggingface.co/production/uploads/63e087b6a98d931aa90c1b9c/VVHlw268vUEdRAzUtjDhE.png", width=256, height=256></p>
We used filtered high-quality Korean dataset for finetuning of KoRAE.
First of all, we gathered Korean data and make the mixture of them.
T... | Cartinoe5930/KoRAE_filtered_12k | [
"arxiv:2307.08701",
"region:us"
] | 2023-11-07T02:19:29+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "review", "dtype": "string"}, {"name": "score", "dtype": "float64"}], "splits": [... | 2023-11-09T13:40:09+00:00 | [
"2307.08701"
] | [] | TAGS
#arxiv-2307.08701 #region-us
| KoRAE Dataset
=============
<img src="URL width=256, height=256>
We used filtered high-quality Korean dataset for finetuning of KoRAE.
First of all, we gathered Korean data and make the mixture of them.
Then we filtered high-quality data from the combination of data through filtering method that introduced from Alp... | [
"### 1. Korean dataset mixture\n\n\nWe investigated several sources to collect high-quality Korean data, and among them, we collected data from the various sources.\nAs a result, we were able to create a new dataset containing 64K pieces of data.\nThe specific configuration of the dataset is as follows:\n\n\n\nYou ... | [
"TAGS\n#arxiv-2307.08701 #region-us \n",
"### 1. Korean dataset mixture\n\n\nWe investigated several sources to collect high-quality Korean data, and among them, we collected data from the various sources.\nAs a result, we were able to create a new dataset containing 64K pieces of data.\nThe specific configuratio... | [
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266
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"passage: TAGS\n#arxiv-2307.08701 #region-us \n### 1. Korean dataset mixture\n\n\nWe investigated several sources to collect high-quality Korean data, and among them, we collected data from the various sources.\nAs a result, we were able to create a new dataset containing 64K pieces of data.\nThe specific configura... |
fb66e737c712dbb7beeba0f821a1c32721bbc420 | # Dataset Card for "check_other_demand_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | quocanh34/check_other_demand_dataset | [
"region:us"
] | 2023-11-07T02:46:35+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3888.0, "num_examples": 89}], "download_size": 3270, "dataset_size": 3888.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*... | 2023-11-07T02:46:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "check_other_demand_dataset"
More Information needed | [
"# Dataset Card for \"check_other_demand_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"check_other_demand_dataset\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"check_other_demand_dataset\"\n\nMore Information needed"
] |
1caa5930d543c3255f99d321849d702e231c72fd | # Dataset Card for "adGenPFH-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pfh1976/adGenPFH-dataset | [
"region:us"
] | 2023-11-07T03:03:52+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "ad", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1243, "num_examples": 5}], "download_size": 3930, "dataset_size": 1243}, "configs": [{"config_name": "default", "data_files": [{"s... | 2023-11-07T03:03:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "adGenPFH-dataset"
More Information needed | [
"# Dataset Card for \"adGenPFH-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"adGenPFH-dataset\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"adGenPFH-dataset\"\n\nMore Information needed"
] |
a220b2c79653950f837272b37cb8c3cf0a5bec70 | # Dataset Card for "naver_news_1024"
Preprocessed and tokenized [daekeun-ml/naver-news-summarization-ko](https://huggingface.co/datasets/daekeun-ml/naver-news-summarization-ko) dataset for pretraining. \
Concatenated all text and split into chunk size of **1024**. \
Used tokenizer from [beomi/llama-2-ko-7b](https://hu... | lectura/naver_news_1024 | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"source_datasets:daekeun-ml/naver-news-summarization-ko",
"language:ko",
"region:us"
] | 2023-11-07T03:11:55+00:00 | {"language": ["ko"], "size_categories": ["10K<n<100K"], "source_datasets": ["daekeun-ml/naver-news-summarization-ko"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 53074500, "num_examples": 12945}], "download... | 2023-12-01T02:00:49+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #source_datasets-daekeun-ml/naver-news-summarization-ko #language-Korean #region-us
| # Dataset Card for "naver_news_1024"
Preprocessed and tokenized daekeun-ml/naver-news-summarization-ko dataset for pretraining. \
Concatenated all text and split into chunk size of 1024. \
Used tokenizer from beomi/llama-2-ko-7b
More Information needed | [
"# Dataset Card for \"naver_news_1024\"\n\nPreprocessed and tokenized daekeun-ml/naver-news-summarization-ko dataset for pretraining. \\\nConcatenated all text and split into chunk size of 1024. \\\nUsed tokenizer from beomi/llama-2-ko-7b\n\nMore Information needed"
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55d05712533e775e9249f4f01eefbf5957b83b3f | # Dataset Card for Nexdata/Finnish_Spontaneous_Speech_Data
## Description
The 233 Hours - Finnish Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. T... | Nexdata/Finnish_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:fi",
"region:us"
] | 2023-11-07T03:17:40+00:00 | {"language": ["fi"], "task_categories": ["automatic-speech-recognition"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2023-11-10T07:44:43+00:00 | [] | [
"fi"
] | TAGS
#task_categories-automatic-speech-recognition #language-Finnish #region-us
| # Dataset Card for Nexdata/Finnish_Spontaneous_Speech_Data
## Description
The 233 Hours - Finnish Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. T... | [
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1fc3df241fdbfda190d1e9c1d3a698c5d134e987 | ---
# Dataset Card for Nexdata/Urdu_Conversational_Speech_Data_by_Telephone
## Description
The 196 Hours - Urdu Conversational Speech Data collected by telephone involved 270 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conv... | Nexdata/Urdu_Conversational_Speech_Data_by_Telephone | [
"task_categories:conversational",
"language:ur",
"region:us"
] | 2023-11-07T03:26:13+00:00 | {"language": ["ur"], "task_categories": ["conversational"]} | 2023-11-10T07:43:37+00:00 | [] | [
"ur"
] | TAGS
#task_categories-conversational #language-Urdu #region-us
| ---
# Dataset Card for Nexdata/Urdu_Conversational_Speech_Data_by_Telephone
## Description
The 196 Hours - Urdu Conversational Speech Data collected by telephone involved 270 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conv... | [
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6b6f3bbcd453002449956ec42aaf9a2d39ef8635 | ---
# Dataset Card for Nexdata/Pushtu_Conversational_Speech_Data_by_Telephone
## Description
The 200 Hours - Pushtu Conversational Speech Data collected by telephone involved more than 230 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list ... | Nexdata/Pushtu_Conversational_Speech_Data_by_Telephone | [
"task_categories:conversational",
"task_categories:automatic-speech-recognition",
"language:ps",
"region:us"
] | 2023-11-07T03:29:53+00:00 | {"language": ["ps"], "task_categories": ["conversational", "automatic-speech-recognition"]} | 2023-11-22T09:36:27+00:00 | [] | [
"ps"
] | TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #language-Pushto #region-us
| ---
# Dataset Card for Nexdata/Pushtu_Conversational_Speech_Data_by_Telephone
## Description
The 200 Hours - Pushtu Conversational Speech Data collected by telephone involved more than 230 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list ... | [
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37ddc6e8b564389a32997e9a25139ad444ed94cc | # MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing
In this work, we present MultiSpider, a multilingual text-to-SQL dataset which covers seven languages (English, German, French, Spanish, Japanese, Chinese, and Vietnamese).
Find more details on [paper](https://arxiv.org/pdf/2212.13492.pdf) an... | dreamerdeo/multispider | [
"size_categories:10K<n<100K",
"language:en",
"language:fr",
"language:de",
"language:vi",
"language:zh",
"language:ja",
"language:es",
"license:cc",
"arxiv:2212.13492",
"region:us"
] | 2023-11-07T03:39:17+00:00 | {"language": ["en", "fr", "de", "vi", "zh", "ja", "es"], "license": "cc", "size_categories": ["10K<n<100K"]} | 2023-11-07T13:04:03+00:00 | [
"2212.13492"
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"en",
"fr",
"de",
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#size_categories-10K<n<100K #language-English #language-French #language-German #language-Vietnamese #language-Chinese #language-Japanese #language-Spanish #license-cc #arxiv-2212.13492 #region-us
| MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing
===========================================================================
In this work, we present MultiSpider, a multilingual text-to-SQL dataset which covers seven languages (English, German, French, Spanish, Japanese, Chinese, and Vietna... | [] | [
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] |
135a387b39ea59203482101ba99b9cf2379b5b67 |
# Anime style image - text by GPT4V small dataset
## The text is as follows:
This is a charming anime-style illustration featuring a young girl as the main subject. The image predominantly uses a soft, pastel color palette, creating a gentle and whimsical ambiance. The main character has lig... | alfredplpl/anime-with-gpt4v-caption-for-lora | [
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-11-07T04:48:18+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0"} | 2023-11-28T08:16:42+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-nc-4.0 #region-us
|
# Anime style image - text by GPT4V small dataset
!URL
## The text is as follows:
This is a charming anime-style illustration featuring a young girl as the main subject. The image predominantly uses a soft, pastel color palette, creating a gentle and whimsical ambiance. The main character has light blonde hair styl... | [
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5b551a5d2d0b3a930b3bd792122765c583b9cb9d | # Dataset Card for "guanaco-llama2-200"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | prashantpansare/guanaco-llama2-200 | [
"region:us"
] | 2023-11-07T05:15:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 338808, "num_examples": 200}], "download_size": 201257, "dataset_size": 338808}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-07T05:15:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "guanaco-llama2-200"
More Information needed | [
"# Dataset Card for \"guanaco-llama2-200\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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1832e82482dc4f823d641b83c7e42b3ef2b6cd74 | # Dataset Card for "KorQuAD_2.0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | leeseeun/KorQuAD_2.0 | [
"region:us"
] | 2023-11-07T05:42:38+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 48148796, "num_examples": 83486}], "download_size": 29849379, "dataset_size": 48148796}, "configs": [{"config_name": "default", "... | 2023-11-07T05:45:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "KorQuAD_2.0"
More Information needed | [
"# Dataset Card for \"KorQuAD_2.0\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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799ad9b3f4004ef450a715fee3c09c461ba7a7f1 | # Dataset Card for "mywitch3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | beyonddata/mywitch3 | [
"region:us"
] | 2023-11-07T05:51:08+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "cap", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 500880.0, "num_examples": 11}], "download_size": 501794, "dataset_size":... | 2023-11-07T05:51:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mywitch3"
More Information needed | [
"# Dataset Card for \"mywitch3\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"mywitch3\"\n\nMore Information needed"
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c433b9e0a91c3fbeb2c19099b8ac62928958cc3b | # Dataset Card for "JimmyLuAugSeq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bigheiniuJ/JimmyLuAugSeq | [
"region:us"
] | 2023-11-07T06:05:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "seed", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "task", "dtype": "string"},... | 2023-11-07T06:07:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "JimmyLuAugSeq"
More Information needed | [
"# Dataset Card for \"JimmyLuAugSeq\"\n\nMore Information needed"
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6beb0279dc1b1c97e0cdc617b16271d12e004653 | # Dataset Card for "MultiCite-classification-gold-context"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kejian/MultiCite-classification-gold-context | [
"region:us"
] | 2023-11-07T06:22:43+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "x", "dtype": "string"}, {"name": "y", "dtype": ... | 2023-11-07T06:22:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MultiCite-classification-gold-context"
More Information needed | [
"# Dataset Card for \"MultiCite-classification-gold-context\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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320c709624b60135010de6cf44a15281910efc86 | # Dataset Card for "law"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
```
DatasetDict({
law: DatasetDict({
train: DatasetDict({
raw: Dataset({
features: ['info', 'concerned', 'org', 'disposal... | brainer/law-term | [
"region:us"
] | 2023-11-07T06:23:57+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "raw", "path": "data/raw-*"}, {"split": "label", "path": "data/label-*"}]}, {"config_name": "law/train", "data_files": [{"split": "raw", "path": "law/train/raw-*"}, {"split": "label", "path": "law/train/label-*"}]}, {"config_name": "law/validation", "data... | 2023-11-07T07:30:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "law"
More Information needed
| [
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051afbefe4bed7ad3aa6136b656ca3f3c4b42891 | # Dataset Card for "chemnlp-orbnet-denali"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kjappelbaum/chemnlp-orbnet-denali | [
"region:us"
] | 2023-11-07T06:41:09+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "smiles", "dtype": "string"}, {"name": "xyz", "dtype": "string"}, {"name": "mol2000", "dtype": "string"}, {"name": "mol3000", "dtype": "string"}, {"name": "charge", "dtype": "int64"}, {"name": "dft_energy", "dtype": "float64"}, {"name": "xtb1_en... | 2023-11-07T07:18:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chemnlp-orbnet-denali"
More Information needed | [
"# Dataset Card for \"chemnlp-orbnet-denali\"\n\nMore Information needed"
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656240134982d7a845017dd78f74f82c9a518eb2 | # Dataset Card for "PMUL4976_only_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Brendan/PMUL4976_only_dataset | [
"region:us"
] | 2023-11-07T07:03:29+00:00 | {"dataset_info": {"features": [{"name": "dialogue_id", "dtype": "string"}, {"name": "turn_id", "dtype": "int8"}, {"name": "domains", "sequence": "string"}, {"name": "system_utterances", "sequence": "string"}, {"name": "user_utterances", "sequence": "string"}, {"name": "slot_values", "struct": [{"name": "hotel", "struct... | 2023-11-07T07:03:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PMUL4976_only_dataset"
More Information needed | [
"# Dataset Card for \"PMUL4976_only_dataset\"\n\nMore Information needed"
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f023a57bea99a76c4e62edcfe2dfbbb0bfcd4607 |
# Wikipedia Japanese data (20231030)
- Source Date: 2023/10/30
- Source: https://dumps.wikimedia.org/other/cirrussearch/
# License
CC BY-SA 4.0
# Example
WIP | hotchpotch/wikipedia-ja-20231030 | [
"size_categories:1M<n<10M",
"language:ja",
"license:cc",
"region:us"
] | 2023-11-07T07:04:51+00:00 | {"language": ["ja"], "license": "cc", "size_categories": ["1M<n<10M"], "pretty_name": "Wikipedia Japanese dump data", "dataset_info": [{"config_name": "chunked", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "row_id", "dtype": "int64"}... | 2023-11-13T11:00:53+00:00 | [] | [
"ja"
] | TAGS
#size_categories-1M<n<10M #language-Japanese #license-cc #region-us
|
# Wikipedia Japanese data (20231030)
- Source Date: 2023/10/30
- Source: URL
# License
CC BY-SA 4.0
# Example
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ec40d770f77a18c83d242f3f33f6c14ea2f91fb2 | # Dataset Card for "squad_train500_eval100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/squad_train500_eval100 | [
"region:us"
] | 2023-11-07T07:45:05+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "validation", "path": "data/validation-*"}, {"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", ... | 2023-11-07T08:45:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_train500_eval100"
More Information needed | [
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ddc5b6c210d59caaf150d81f7aa6bc9e907275b9 | # Dataset Card for "xlsum_data-cstnews_results"
rouge={'rouge1': 0.15625934233588232, 'rouge2': 0.045078034517833404, 'rougeL': 0.09671713244776929, 'rougeLsum': 0.09671713244776929}
Bert={'precision': 0.6181117028517175, 'recall': 0.7212475901364449, 'f1': 0.665386434830855}
mover = 0.5427366803250515 | arthurmluz/xlsum_data-cstnews_results | [
"region:us"
] | 2023-11-07T07:48:15+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... | 2023-11-13T20:10:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xlsum_data-cstnews_results"
rouge={'rouge1': 0.15625934233588232, 'rouge2': 0.045078034517833404, 'rougeL': 0.09671713244776929, 'rougeLsum': 0.09671713244776929}
Bert={'precision': 0.6181117028517175, 'recall': 0.7212475901364449, 'f1': 0.665386434830855}
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6f6a514fc8c44309d4c5f17c40d48be8bc1cc491 | # Dataset Card for "LLM_DATASET_bbox"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | GHOFRANEE/LLM_DATASET_bbox | [
"region:us"
] | 2023-11-07T07:52:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1428578, "num_examples":... | 2023-11-07T07:52:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "LLM_DATASET_bbox"
More Information needed | [
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4fd37e3cdaf96c2ea6bf2ed966ce6314f448593c |
---
# Dataset Card for Nexdata/Dari_Conversational_Speech_Data_by_Telephone
## Description
The 330 Hours - Dari Conversational Speech Data collected by telephone involved 452 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start con... | Nexdata/Dari_Conversational_Speech_Data_by_Telephone | [
"task_categories:conversational",
"task_categories:automatic-speech-recognition",
"region:us"
] | 2023-11-07T08:08:01+00:00 | {"task_categories": ["conversational", "automatic-speech-recognition"]} | 2023-11-22T09:36:55+00:00 | [] | [] | TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #region-us
|
---
# Dataset Card for Nexdata/Dari_Conversational_Speech_Data_by_Telephone
## Description
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b6e44371b5a3c245250ea2db874cc0602a8fb3df | # Dataset Card for "sanskrit_eng"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mangeshdiyewar/sanskrit_eng | [
"region:us"
] | 2023-11-07T08:10:11+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36409226, "n... | 2023-11-07T08:12:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sanskrit_eng"
More Information needed | [
"# Dataset Card for \"sanskrit_eng\"\n\nMore Information needed"
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b6033a653f09f4cb0d3e6f6730c32679ea1d1b10 | # Dataset Card for "factures_generales"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ayoub999/factures_generales | [
"region:us"
] | 2023-11-07T08:14:32+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "bboxes", "sequence": {"sequence": "int64"}}, {"name": "ner_tags"... | 2023-11-08T16:48:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "factures_generales"
More Information needed | [
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c8c156d77aa5bc6aab25916a0b0eec0e32d1aadf | ---
# Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 300 Hours - Indonesian conversational speech data collected by phone involved about 300 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given li... | Nexdata/Indonesian_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:conversational",
"task_categories:automatic-speech-recognition",
"language:id",
"region:us"
] | 2023-11-07T08:18:16+00:00 | {"language": ["id"], "task_categories": ["conversational", "automatic-speech-recognition"]} | 2023-11-22T09:37:55+00:00 | [] | [
"id"
] | TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #language-Indonesian #region-us
| ---
# Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 300 Hours - Indonesian conversational speech data collected by phone involved about 300 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given li... | [
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a0da3a6d4837dbf8ae039896e73aec0291beb585 | # Dataset Card for "counsel-ko_1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lectura/counsel-ko_1024 | [
"region:us"
] | 2023-11-07T08:19:08+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 4239400, "num_examples": 1034}], "download_size": 1794292, "dataset_size": 4239400}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-07T08:19:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "counsel-ko_1024"
More Information needed | [
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b9da26503ecd5f12fda3894bb6b9f0789efe0706 | ---
# Dataset Card for Nexdata/Filipino_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 104 Hours - Filipino Conversational Speech Data by Mobile Phone collected by phone involved 140 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the gi... | Nexdata/Filipino_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:conversational",
"language:tl",
"region:us"
] | 2023-11-07T08:20:51+00:00 | {"language": ["tl"], "task_categories": ["conversational"]} | 2023-11-10T07:43:49+00:00 | [] | [
"tl"
] | TAGS
#task_categories-conversational #language-Tagalog #region-us
| ---
# Dataset Card for Nexdata/Filipino_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 104 Hours - Filipino Conversational Speech Data by Mobile Phone collected by phone involved 140 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the gi... | [
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d1e44b66481ebaed5cc59f81ac63b594d76274c4 | ---
# Dataset Card for Nexdata/Pushtu_Conversational_Speech_Data_by_Telephone
## Description
The 547 Hours - French Conversational Speech Data involved 964 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure... | Nexdata/French_Conversational_Speech_Data_by_Telephone | [
"task_categories:conversational",
"language:fr",
"region:us"
] | 2023-11-07T08:23:14+00:00 | {"language": ["fr"], "task_categories": ["conversational"]} | 2024-01-26T08:55:15+00:00 | [] | [
"fr"
] | TAGS
#task_categories-conversational #language-French #region-us
| ---
# Dataset Card for Nexdata/Pushtu_Conversational_Speech_Data_by_Telephone
## Description
The 547 Hours - French Conversational Speech Data involved 964 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure... | [
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b6053d94525d7473c47e53b631903d2029446402 | ---
# Dataset Card for Nexdata/Italian_Conversational_Speech_Data_by_Telephone
## Description
The 500 Hours - Italian Conversational Speech Data involved more than 700 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversatio... | Nexdata/Italian_Conversational_Speech_Data_by_Telephone | [
"task_categories:conversational",
"language:it",
"region:us"
] | 2023-11-07T08:25:05+00:00 | {"language": ["it"], "task_categories": ["conversational"]} | 2024-01-26T08:55:11+00:00 | [] | [
"it"
] | TAGS
#task_categories-conversational #language-Italian #region-us
| ---
# Dataset Card for Nexdata/Italian_Conversational_Speech_Data_by_Telephone
## Description
The 500 Hours - Italian Conversational Speech Data involved more than 700 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversatio... | [
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a3b9f4f38863578d9aed3607cd752963b9368731 | # Dataset Card for Nexdata/Spanish_Conversational_Speech_Data_by_Telephone
## Description
The 500 Hours - Spanish Conversational Speech Data involved more than 700 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations t... | Nexdata/Spanish_Conversational_Speech_Data_by_Telephone | [
"task_categories:conversational",
"language:es",
"region:us"
] | 2023-11-07T08:26:44+00:00 | {"language": ["es"], "task_categories": ["conversational"]} | 2024-01-26T08:55:09+00:00 | [] | [
"es"
] | TAGS
#task_categories-conversational #language-Spanish #region-us
| # Dataset Card for Nexdata/Spanish_Conversational_Speech_Data_by_Telephone
## Description
The 500 Hours - Spanish Conversational Speech Data involved more than 700 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations t... | [
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2de035675b45db120af642b68b2f3ef620488fbb | ---
# Dataset Card for Nexdata/Chinese_Commands_Speech_Data_by_Bluetooth_Headset
## Description
The data were collected from 491 Chinese speakers, each recording the same corpus with 17 commonly used command words. The proportion of male and female speakers is balanced, covering multiple age groups. The data is record... | Nexdata/Chinese_Commands_Speech_Data_by_Bluetooth_Headset | [
"task_categories:automatic-speech-recognition",
"language:zh",
"region:us"
] | 2023-11-07T08:28:50+00:00 | {"language": ["zh"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:41:23+00:00 | [] | [
"zh"
] | TAGS
#task_categories-automatic-speech-recognition #language-Chinese #region-us
| ---
# Dataset Card for Nexdata/Chinese_Commands_Speech_Data_by_Bluetooth_Headset
## Description
The data were collected from 491 Chinese speakers, each recording the same corpus with 17 commonly used command words. The proportion of male and female speakers is balanced, covering multiple age groups. The data is record... | [
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fe5d87248f0e265f69ac87919130ef5d9c67b6c0 | ---
# Dataset Card for Nexdata/Pushtu_Conversational_Speech_Data_by_Telephone
## Description
The 1,077 Hours - Thai Conversational Speech Data involved 1,986 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensu... | Nexdata/Thai_Conversational_Speech_Data_by_Telephone | [
"task_categories:conversational",
"language:th",
"region:us"
] | 2023-11-07T08:31:25+00:00 | {"language": ["th"], "task_categories": ["conversational"]} | 2023-11-10T07:42:40+00:00 | [] | [
"th"
] | TAGS
#task_categories-conversational #language-Thai #region-us
| ---
# Dataset Card for Nexdata/Pushtu_Conversational_Speech_Data_by_Telephone
## Description
The 1,077 Hours - Thai Conversational Speech Data involved 1,986 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensu... | [
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39366837f9cd59d1321bd5750196134ccd226dd1 | ---
# Dataset Card for Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 127 Hours - Brazilian Portuguese Conversational Speech Data involved 142 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list an... | Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:conversational",
"language:pt",
"region:us"
] | 2023-11-07T08:33:00+00:00 | {"language": ["pt"], "task_categories": ["conversational"]} | 2023-11-10T07:39:17+00:00 | [] | [
"pt"
] | TAGS
#task_categories-conversational #language-Portuguese #region-us
| ---
# Dataset Card for Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 127 Hours - Brazilian Portuguese Conversational Speech Data involved 142 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list an... | [
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"## Description\nThe 127 Hours - Brazilian Portuguese Conversational Speech Data involved 142 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given l... | [
"TAGS\n#task_categories-conversational #language-Portuguese #region-us \n",
"# Dataset Card for Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Mobile_Phone",
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a86b1d496ac8773079df364f6f11e5cd8a9f7481 | ---
# Dataset Card for Nexdata/Russian_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 107 Hours - Russian Conversational Speech Data involved 134 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to e... | Nexdata/Russian_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:conversational",
"task_categories:automatic-speech-recognition",
"language:ru",
"region:us"
] | 2023-11-07T08:34:48+00:00 | {"language": ["ru"], "task_categories": ["conversational", "automatic-speech-recognition"]} | 2024-01-26T08:54:56+00:00 | [] | [
"ru"
] | TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #language-Russian #region-us
| ---
# Dataset Card for Nexdata/Russian_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 107 Hours - Russian Conversational Speech Data involved 134 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to e... | [
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"## Description\nThe 107 Hours - Russian Conversational Speech Data involved 134 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversation... | [
"TAGS\n#task_categories-conversational #task_categories-automatic-speech-recognition #language-Russian #region-us \n",
"# Dataset Card for Nexdata/Russian_Conversational_Speech_Data_by_Mobile_Phone",
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b5ff5bbea3e6a41920c1993fcfdc3047f5b311b3 | ---
# Dataset Card for Nexdata/Burmese_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 120 Hours - Burmese Conversational Speech Data involved more than 130 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversa... | Nexdata/Burmese_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:conversational",
"language:my",
"region:us"
] | 2023-11-07T08:37:04+00:00 | {"language": ["my"], "task_categories": ["conversational"]} | 2023-11-10T07:40:23+00:00 | [] | [
"my"
] | TAGS
#task_categories-conversational #language-Burmese #region-us
| ---
# Dataset Card for Nexdata/Burmese_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 120 Hours - Burmese Conversational Speech Data involved more than 130 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversa... | [
"# Dataset Card for Nexdata/Burmese_Conversational_Speech_Data_by_Mobile_Phone",
"## Description\nThe 120 Hours - Burmese Conversational Speech Data involved more than 130 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start co... | [
"TAGS\n#task_categories-conversational #language-Burmese #region-us \n",
"# Dataset Card for Nexdata/Burmese_Conversational_Speech_Data_by_Mobile_Phone",
"## Description\nThe 120 Hours - Burmese Conversational Speech Data involved more than 130 native speakers, developed with proper balance of gender ratio, Spe... | [
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e71dffbb1054f6af094181906b712f87cfe99779 | # Dataset Card for Nexdata/Indian_English_Spontaneous_Speech_Data
## Description
The 501 Hours - Indian English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. This dataset can be... | Nexdata/Indian_English_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:en",
"region:us"
] | 2023-11-07T08:42:01+00:00 | {"language": ["en"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:37:03+00:00 | [] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #language-English #region-us
| # Dataset Card for Nexdata/Indian_English_Spontaneous_Speech_Data
## Description
The 501 Hours - Indian English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. This dataset can be... | [
"# Dataset Card for Nexdata/Indian_English_Spontaneous_Speech_Data",
"## Description\nThe 501 Hours - Indian English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. This data... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-English #region-us \n",
"# Dataset Card for Nexdata/Indian_English_Spontaneous_Speech_Data",
"## Description\nThe 501 Hours - Indian English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed... | [
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"passage: TAGS\n#task_categories-automatic-speech-recognition #language-English #region-us \n# Dataset Card for Nexdata/Indian_English_Spontaneous_Speech_Data## Description\nThe 501 Hours - Indian English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed in... |
80c791772bb9a7037b2b55fc23429df1861ab824 | # Dataset Card for Nexdata/Swedish_Spontaneous_Speech_Data
## Description
The 225 Hours - Swedish Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voic... | Nexdata/Swedish_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:sv",
"region:us"
] | 2023-11-07T08:45:28+00:00 | {"language": ["sv"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:38:51+00:00 | [] | [
"sv"
] | TAGS
#task_categories-automatic-speech-recognition #language-Swedish #region-us
| # Dataset Card for Nexdata/Swedish_Spontaneous_Speech_Data
## Description
The 225 Hours - Swedish Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voic... | [
"# Dataset Card for Nexdata/Swedish_Spontaneous_Speech_Data",
"## Description\nThe 225 Hours - Swedish Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are also annotated. This dataset can be use... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Swedish #region-us \n",
"# Dataset Card for Nexdata/Swedish_Spontaneous_Speech_Data",
"## Description\nThe 225 Hours - Swedish Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; sp... | [
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"passage: TAGS\n#task_categories-automatic-speech-recognition #language-Swedish #region-us \n# Dataset Card for Nexdata/Swedish_Spontaneous_Speech_Data## Description\nThe 225 Hours - Swedish Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text; speak... |
9116a0c8d9240e30f8ed1eaed5a1603f8a403bdc | # Dataset Card for Nexdata/Latin_American_Spanish_Children_Spontaneous_Speech_Data
## Description
The 189 Hours - Latin American Spanish Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identi... | Nexdata/Latin_American_Spanish_Children_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:es",
"region:us"
] | 2023-11-07T08:48:39+00:00 | {"language": ["es"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:36:43+00:00 | [] | [
"es"
] | TAGS
#task_categories-automatic-speech-recognition #language-Spanish #region-us
| # Dataset Card for Nexdata/Latin_American_Spanish_Children_Spontaneous_Speech_Data
## Description
The 189 Hours - Latin American Spanish Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identi... | [
"# Dataset Card for Nexdata/Latin_American_Spanish_Children_Spontaneous_Speech_Data",
"## Description\nThe 189 Hours - Latin American Spanish Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; spea... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Spanish #region-us \n",
"# Dataset Card for Nexdata/Latin_American_Spanish_Children_Spontaneous_Speech_Data",
"## Description\nThe 189 Hours - Latin American Spanish Child's Spontaneous Speech Data is a collection of speech clips, the content coveri... | [
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ea80c1fa1e2bd9134cd5479e69b6bb93126f0f3d | # Dataset Card for Nexdata/British_English_Spontaneous_Speech_Data
## Description
1,013 Hours – British English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This datase... | Nexdata/British_English_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:en",
"region:us"
] | 2023-11-07T08:50:19+00:00 | {"language": ["en"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:36:53+00:00 | [] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #language-English #region-us
| # Dataset Card for Nexdata/British_English_Spontaneous_Speech_Data
## Description
1,013 Hours – British English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This datase... | [
"# Dataset Card for Nexdata/British_English_Spontaneous_Speech_Data",
"## Description\n1,013 Hours – British English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. T... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-English #region-us \n",
"# Dataset Card for Nexdata/British_English_Spontaneous_Speech_Data",
"## Description\n1,013 Hours – British English Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed... | [
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2e8666631e27a87bb787772158da3eab8e351978 | # Dataset Card for Nexdata/Hindi_Spontaneous_Speech_Data
## Description
494 Hours - Hindi Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voic... | Nexdata/Hindi_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:hi",
"region:us"
] | 2023-11-07T08:51:50+00:00 | {"language": ["hi"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:36:04+00:00 | [] | [
"hi"
] | TAGS
#task_categories-automatic-speech-recognition #language-Hindi #region-us
| # Dataset Card for Nexdata/Hindi_Spontaneous_Speech_Data
## Description
494 Hours - Hindi Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voic... | [
"# Dataset Card for Nexdata/Hindi_Spontaneous_Speech_Data",
"## Description\n494 Hours - Hindi Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be use... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Hindi #region-us \n",
"# Dataset Card for Nexdata/Hindi_Spontaneous_Speech_Data",
"## Description\n494 Hours - Hindi Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; spea... | [
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"passage: TAGS\n#task_categories-automatic-speech-recognition #language-Hindi #region-us \n# Dataset Card for Nexdata/Hindi_Spontaneous_Speech_Data## Description\n494 Hours - Hindi Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker... |
f9849dd7a92d15a44a57dc78105885c5d321135c | # Dataset Card for Nexdata/Korean_Spontaneous_Speech_Data
## Description
396 Hours - Korean Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for vo... | Nexdata/Korean_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"task_categories:conversational",
"language:ko",
"region:us"
] | 2023-11-07T08:53:43+00:00 | {"language": ["ko"], "task_categories": ["automatic-speech-recognition", "conversational"]} | 2023-11-10T07:36:29+00:00 | [] | [
"ko"
] | TAGS
#task_categories-automatic-speech-recognition #task_categories-conversational #language-Korean #region-us
| # Dataset Card for Nexdata/Korean_Spontaneous_Speech_Data
## Description
396 Hours - Korean Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for vo... | [
"# Dataset Card for Nexdata/Korean_Spontaneous_Speech_Data",
"## Description\n396 Hours - Korean Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be u... | [
"TAGS\n#task_categories-automatic-speech-recognition #task_categories-conversational #language-Korean #region-us \n",
"# Dataset Card for Nexdata/Korean_Spontaneous_Speech_Data",
"## Description\n396 Hours - Korean Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually ... | [
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46cd67ee3562ba78d8dca1e6043e71dd1e7a0a71 | # Dataset Card for Nexdata/Russian_Spontaneous_Speech_Data
## Description
503 Hours - Russian Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for ... | Nexdata/Russian_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:ru",
"region:us"
] | 2023-11-07T08:55:21+00:00 | {"language": ["ru"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:35:43+00:00 | [] | [
"ru"
] | TAGS
#task_categories-automatic-speech-recognition #language-Russian #region-us
| # Dataset Card for Nexdata/Russian_Spontaneous_Speech_Data
## Description
503 Hours - Russian Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for ... | [
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"# Dataset Card for Nexdata/Russian_Spontaneous_Speech_Data",
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ef47e1dcffc237ff85a2a5f9e35529ba8acd90ff | # Dataset Card for Nexdata/Burmese_Spontaneous_Speech_Data
## Description
The 212 Hours - Burmese Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also anno... | Nexdata/Burmese_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:my",
"region:us"
] | 2023-11-07T08:56:47+00:00 | {"language": ["my"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:35:55+00:00 | [] | [
"my"
] | TAGS
#task_categories-automatic-speech-recognition #language-Burmese #region-us
| # Dataset Card for Nexdata/Burmese_Spontaneous_Speech_Data
## Description
The 212 Hours - Burmese Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also anno... | [
"# Dataset Card for Nexdata/Burmese_Spontaneous_Speech_Data",
"## Description\nThe 212 Hours - Burmese Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Burmese #region-us \n",
"# Dataset Card for Nexdata/Burmese_Spontaneous_Speech_Data",
"## Description\nThe 212 Hours - Burmese Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was ma... | [
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cedfa0889d1d145e4825f02fa8ec38fbbb39cb40 | # Dataset Card for Nexdata/French_Children_Spontaneous_Speech_Data
## Description
The 162 Hours - French Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are al... | Nexdata/French_Children_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:fr",
"region:us"
] | 2023-11-07T08:58:35+00:00 | {"language": ["fr"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:35:17+00:00 | [] | [
"fr"
] | TAGS
#task_categories-automatic-speech-recognition #language-French #region-us
| # Dataset Card for Nexdata/French_Children_Spontaneous_Speech_Data
## Description
The 162 Hours - French Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribution are al... | [
"# Dataset Card for Nexdata/French_Children_Spontaneous_Speech_Data",
"## Description\nThe 162 Hours - French Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text; speaker identity, gender, and other attribut... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-French #region-us \n",
"# Dataset Card for Nexdata/French_Children_Spontaneous_Speech_Data",
"## Description\nThe 162 Hours - French Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speec... | [
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95c73af26e15a4fe8b2130380bf09ecf24ffc0da | # Dataset Card for "xlsum_data-xlsumm_results"
rouge={'rouge1': 0.3818263240441036, 'rouge2': 0.1806833901933182, 'rougeL': 0.29281990848626877, 'rougeLsum': 0.29281990848626877}
Bert={'precision': 0.7890678104872487, 'recall': 0.7642590621622597, 'f1': 0.7759933983573515}
mover 0.6348088428016108 | arthurmluz/xlsum_data-xlsum_results | [
"region:us"
] | 2023-11-07T08:58:45+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... | 2023-11-13T20:39:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xlsum_data-xlsumm_results"
rouge={'rouge1': 0.3818263240441036, 'rouge2': 0.1806833901933182, 'rougeL': 0.29281990848626877, 'rougeLsum': 0.29281990848626877}
Bert={'precision': 0.7890678104872487, 'recall': 0.7642590621622597, 'f1': 0.7759933983573515}
mover 0.6348088428016108 | [
"# Dataset Card for \"xlsum_data-xlsumm_results\"\n\nrouge={'rouge1': 0.3818263240441036, 'rouge2': 0.1806833901933182, 'rougeL': 0.29281990848626877, 'rougeLsum': 0.29281990848626877}\n\nBert={'precision': 0.7890678104872487, 'recall': 0.7642590621622597, 'f1': 0.7759933983573515}\n\nmover 0.6348088428016108"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"xlsum_data-xlsumm_results\"\n\nrouge={'rouge1': 0.3818263240441036, 'rouge2': 0.1806833901933182, 'rougeL': 0.29281990848626877, 'rougeLsum': 0.29281990848626877}\n\nBert={'precision': 0.7890678104872487, 'recall': 0.7642590621622597, 'f1': 0.7759933983573515}\n\nmo... |
8ee447a123a4e1b830d573b896de6010539d7f91 | # Dataset Card for Nexdata/German_Children_Spontaneous_Speech_Data
## Description
The 97 Hours - German Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recognition (aco... | Nexdata/German_Children_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:de",
"region:us"
] | 2023-11-07T09:00:18+00:00 | {"language": ["de"], "task_categories": ["automatic-speech-recognition"]} | 2024-01-26T08:54:52+00:00 | [] | [
"de"
] | TAGS
#task_categories-automatic-speech-recognition #language-German #region-us
| # Dataset Card for Nexdata/German_Children_Spontaneous_Speech_Data
## Description
The 97 Hours - German Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recognition (aco... | [
"# Dataset Card for Nexdata/German_Children_Spontaneous_Speech_Data",
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030fe0b646fa428137c90f0f3960717fbb77df51 | # Dataset Card for Nexdata/Malay_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 127 Hours - Malay Conversational Speech Data by Mobile Phone collected by phone involved 142 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list a... | Nexdata/Malay_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:automatic-speech-recognition",
"language:ms",
"region:us"
] | 2023-11-07T09:01:46+00:00 | {"language": ["ms"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:35:06+00:00 | [] | [
"ms"
] | TAGS
#task_categories-automatic-speech-recognition #language-Malay (macrolanguage) #region-us
| # Dataset Card for Nexdata/Malay_Conversational_Speech_Data_by_Mobile_Phone
## Description
The 127 Hours - Malay Conversational Speech Data by Mobile Phone collected by phone involved 142 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list a... | [
"# Dataset Card for Nexdata/Malay_Conversational_Speech_Data_by_Mobile_Phone",
"## Description\nThe 127 Hours - Malay Conversational Speech Data by Mobile Phone collected by phone involved 142 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the gi... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Malay (macrolanguage) #region-us \n",
"# Dataset Card for Nexdata/Malay_Conversational_Speech_Data_by_Mobile_Phone",
"## Description\nThe 127 Hours - Malay Conversational Speech Data by Mobile Phone collected by phone involved 142 native speakers, d... | [
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dabfa365193a1b2362ffcc61e21287a5a91ef8bb | # Dataset Card for Nexdata/Multi-angle_Lip_Multimodal_Video_Data
## Description
202 People - Multi-angle Lip Multimodal Video Data. The collection environments include indoor natural light scenes and indoor fluorescent lamp scenes. The device is cellphone. The diversity includes multiple scenes, different ages, 13 sho... | Nexdata/Multi-angle_Lip_Multimodal_Video_Data | [
"language:zh",
"region:us"
] | 2023-11-07T09:03:08+00:00 | {"language": ["zh"]} | 2024-01-26T08:55:05+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #region-us
| # Dataset Card for Nexdata/Multi-angle_Lip_Multimodal_Video_Data
## Description
202 People - Multi-angle Lip Multimodal Video Data. The collection environments include indoor natural light scenes and indoor fluorescent lamp scenes. The device is cellphone. The diversity includes multiple scenes, different ages, 13 sho... | [
"# Dataset Card for Nexdata/Multi-angle_Lip_Multimodal_Video_Data",
"## Description\n202 People - Multi-angle Lip Multimodal Video Data. The collection environments include indoor natural light scenes and indoor fluorescent lamp scenes. The device is cellphone. The diversity includes multiple scenes, different ag... | [
"TAGS\n#language-Chinese #region-us \n",
"# Dataset Card for Nexdata/Multi-angle_Lip_Multimodal_Video_Data",
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"passage: TAGS\n#language-Chinese #region-us \n# Dataset Card for Nexdata/Multi-angle_Lip_Multimodal_Video_Data## Description\n202 People - Multi-angle Lip Multimodal Video Data. The collection environments include indoor natural light scenes and indoor fluorescent lamp scenes. The device is cellphone. The diversit... |
f6cc066ae06c6bd44d1a3f722910531fe1465c81 | # Dataset Card for Nexdata/Italian_Children_Spontaneous_Speech_Speech_Data
## Description
The 101 Hours - Italian Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recogn... | Nexdata/Italian_Children_Spontaneous_Speech_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:it",
"region:us"
] | 2023-11-07T09:04:42+00:00 | {"language": ["it"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:31:38+00:00 | [] | [
"it"
] | TAGS
#task_categories-automatic-speech-recognition #language-Italian #region-us
| # Dataset Card for Nexdata/Italian_Children_Spontaneous_Speech_Speech_Data
## Description
The 101 Hours - Italian Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recogn... | [
"# Dataset Card for Nexdata/Italian_Children_Spontaneous_Speech_Speech_Data",
"## Description\nThe 101 Hours - Italian Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in spe... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Italian #region-us \n",
"# Dataset Card for Nexdata/Italian_Children_Spontaneous_Speech_Speech_Data",
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"passage: TAGS\n#task_categories-automatic-speech-recognition #language-Italian #region-us \n# Dataset Card for Nexdata/Italian_Children_Spontaneous_Speech_Speech_Data## Description\nThe 101 Hours - Italian Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, spe... |
b96577c256e1c388406c6b379e55ac71b0b90724 | # Dataset Card for Nexdata/Canadian_French_Conversational_Speech_Data_by_Mobile_Phone
## Description
80 Hours - Canadian French Conversational Speech Data by Mobile Phone involved 126 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and s... | Nexdata/Canadian_French_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:automatic-speech-recognition",
"language:fr",
"region:us"
] | 2023-11-07T09:06:09+00:00 | {"language": ["fr"], "task_categories": ["automatic-speech-recognition"]} | 2024-01-26T08:54:49+00:00 | [] | [
"fr"
] | TAGS
#task_categories-automatic-speech-recognition #language-French #region-us
| # Dataset Card for Nexdata/Canadian_French_Conversational_Speech_Data_by_Mobile_Phone
## Description
80 Hours - Canadian French Conversational Speech Data by Mobile Phone involved 126 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and s... | [
"# Dataset Card for Nexdata/Canadian_French_Conversational_Speech_Data_by_Mobile_Phone",
"## Description\n80 Hours - Canadian French Conversational Speech Data by Mobile Phone involved 126 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given ... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-French #region-us \n",
"# Dataset Card for Nexdata/Canadian_French_Conversational_Speech_Data_by_Mobile_Phone",
"## Description\n80 Hours - Canadian French Conversational Speech Data by Mobile Phone involved 126 native speakers, developed with prope... | [
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5201318b96c2a59d638a7d21df95adadf8b2e0db | # Dataset Card for "seven_cups"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NUS-IDS/seven_cups | [
"region:us"
] | 2023-11-07T09:07:33+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "anxiety", "path": "data/anxiety-*"}, {"split": "bipolar", "path": "data/bipolar-*"}, {"split": "depression", "path": "data/depression-*"}, {"split": "personalitydisorders", "path": "data/personalitydisorders-*"}, {"split": "trauma", "path": "data/trauma-... | 2023-11-07T09:08:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "seven_cups"
More Information needed | [
"# Dataset Card for \"seven_cups\"\n\nMore Information needed"
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] |
71b91c3121bbb6ecbfe039d43202d30531a5b6f5 | # Dataset Card for Nexdata/Mexican_Spanish_Conversational_Speech_Data_by_Mobile_Phone
## Description
107 Hours - Mexican Spanish Conversational Speech Data by Mobile Phone involved 126 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and ... | Nexdata/Mexican_Spanish_Conversational_Speech_Data_by_Mobile_Phone | [
"task_categories:automatic-speech-recognition",
"language:es",
"region:us"
] | 2023-11-07T09:07:46+00:00 | {"language": ["es"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:31:27+00:00 | [] | [
"es"
] | TAGS
#task_categories-automatic-speech-recognition #language-Spanish #region-us
| # Dataset Card for Nexdata/Mexican_Spanish_Conversational_Speech_Data_by_Mobile_Phone
## Description
107 Hours - Mexican Spanish Conversational Speech Data by Mobile Phone involved 126 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and ... | [
"# Dataset Card for Nexdata/Mexican_Spanish_Conversational_Speech_Data_by_Mobile_Phone",
"## Description\n107 Hours - Mexican Spanish Conversational Speech Data by Mobile Phone involved 126 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Spanish #region-us \n",
"# Dataset Card for Nexdata/Mexican_Spanish_Conversational_Speech_Data_by_Mobile_Phone",
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b08dde2bb6d874cb8a00e6cc803641c9e816da6e | # Dataset Card for Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Telephone
## Description
104 Hours - Brazilian Portuguese Conversational Speech Data by Telephone involved 118 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list ... | Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Telephone | [
"task_categories:automatic-speech-recognition",
"language:pt",
"region:us"
] | 2023-11-07T09:09:40+00:00 | {"language": ["pt"], "task_categories": ["automatic-speech-recognition"]} | 2024-01-26T08:54:53+00:00 | [] | [
"pt"
] | TAGS
#task_categories-automatic-speech-recognition #language-Portuguese #region-us
| # Dataset Card for Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Telephone
## Description
104 Hours - Brazilian Portuguese Conversational Speech Data by Telephone involved 118 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list ... | [
"# Dataset Card for Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Telephone",
"## Description\n104 Hours - Brazilian Portuguese Conversational Speech Data by Telephone involved 118 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the g... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Portuguese #region-us \n",
"# Dataset Card for Nexdata/Brazilian_Portuguese_Conversational_Speech_Data_by_Telephone",
"## Description\n104 Hours - Brazilian Portuguese Conversational Speech Data by Telephone involved 118 native speakers, developed w... | [
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2567e3b67634b04941d46d9295273c951ec2859f | # Dataset Card for Nexdata/Russian_Children_Spontaneous_Speech_Data
## Description
The 163 Hours - Russian Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribut... | Nexdata/Russian_Children_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:ru",
"region:us"
] | 2023-11-07T09:11:18+00:00 | {"language": ["ru"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:30:34+00:00 | [] | [
"ru"
] | TAGS
#task_categories-automatic-speech-recognition #language-Russian #region-us
| # Dataset Card for Nexdata/Russian_Children_Spontaneous_Speech_Data
## Description
The 163 Hours - Russian Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribut... | [
"# Dataset Card for Nexdata/Russian_Children_Spontaneous_Speech_Data",
"## Description\nThe 163 Hours - Russian Child's Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and othe... | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Russian #region-us \n",
"# Dataset Card for Nexdata/Russian_Children_Spontaneous_Speech_Data",
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ebf24fa5dec9c91104c390fe4eca769f09f49249 | # Dataset Card for Nexdata/Thai_Children_Spontaneous_Speech_Data
## Description
The 100 Hours - Thai Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recognition (acoust... | Nexdata/Thai_Children_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:th",
"region:us"
] | 2023-11-07T09:12:46+00:00 | {"language": ["th"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:30:53+00:00 | [] | [
"th"
] | TAGS
#task_categories-automatic-speech-recognition #language-Thai #region-us
| # Dataset Card for Nexdata/Thai_Children_Spontaneous_Speech_Data
## Description
The 100 Hours - Thai Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recognition (acoust... | [
"# Dataset Card for Nexdata/Thai_Children_Spontaneous_Speech_Data",
"## Description\nThe 100 Hours - Thai Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recogniti... | [
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"# Dataset Card for Nexdata/Thai_Children_Spontaneous_Speech_Data",
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5cb3eb6b8e74a730df3c7e5e0421d3f372311aeb | # Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone
## Description
The 89 Hours - Indonesian conversational speech data collected by Telephone involved 124 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and sta... | Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone | [
"task_categories:automatic-speech-recognition",
"language:id",
"region:us"
] | 2023-11-07T09:13:56+00:00 | {"language": ["id"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:30:21+00:00 | [] | [
"id"
] | TAGS
#task_categories-automatic-speech-recognition #language-Indonesian #region-us
| # Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone
## Description
The 89 Hours - Indonesian conversational speech data collected by Telephone involved 124 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and sta... | [
"# Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone",
"## Description\nThe 89 Hours - Indonesian conversational speech data collected by Telephone involved 124 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given li... | [
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d606b9e626da414af965df5978c4ed0fbd6ad668 | # Dataset Card for Nexdata/Indonesian_Children_Spontaneous_Speech_Data
## Description
The 100 Hours - Indonesian Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recogni... | Nexdata/Indonesian_Children_Spontaneous_Speech_Data | [
"task_categories:automatic-speech-recognition",
"language:id",
"region:us"
] | 2023-11-07T09:15:27+00:00 | {"language": ["id"], "task_categories": ["automatic-speech-recognition"]} | 2023-11-10T07:29:54+00:00 | [] | [
"id"
] | TAGS
#task_categories-automatic-speech-recognition #language-Indonesian #region-us
| # Dataset Card for Nexdata/Indonesian_Children_Spontaneous_Speech_Data
## Description
The 100 Hours - Indonesian Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in speech recogni... | [
"# Dataset Card for Nexdata/Indonesian_Children_Spontaneous_Speech_Data",
"## Description\nThe 100 Hours - Indonesian Child's Spontaneous Speech Data, manually screened and processed. Annotation contains transcription text, speaker identification, gender and other informantion. This dataset can be applied in spee... | [
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"# Dataset Card for Nexdata/Indonesian_Children_Spontaneous_Speech_Data",
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3f899582af72c419bffe3026d5ba93bbc442133c | # Dataset Card for "cowc-m"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | danielz01/cowc-m | [
"region:us"
] | 2023-11-07T09:27:19+00:00 | {"dataset_info": [{"config_name": "Columbus", "features": [{"name": "Folder_Name", "dtype": "string"}, {"name": "File_Name", "dtype": "string"}, {"name": "Neg_Count", "dtype": "int64"}, {"name": "Other_Count", "dtype": "int64"}, {"name": "Pickup_Count", "dtype": "int64"}, {"name": "Sedan_Count", "dtype": "int64"}, {"na... | 2023-11-07T09:29:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cowc-m"
More Information needed | [
"# Dataset Card for \"cowc-m\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cowc-m\"\n\nMore Information needed"
] | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"cowc-m\"\n\nMore Information needed"
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98ba0004120f2b16fb786063c6e0209a9210d58a | # Dataset Card for "DocVQA_layoutLM_large"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sharka/DocVQA_for_LayoutLM | [
"region:us"
] | 2023-11-07T09:29:08+00:00 | {"dataset_info": {"features": [{"name": "image", "sequence": {"sequence": {"sequence": "uint8"}}}, {"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "bbox", "sequence": {"sequence": "int64"}}, {"name": "start_positions", ... | 2023-11-07T09:37:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DocVQA_layoutLM_large"
More Information needed | [
"# Dataset Card for \"DocVQA_layoutLM_large\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"DocVQA_layoutLM_large\"\n\nMore Information needed"
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6,
21
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"passage: TAGS\n#region-us \n# Dataset Card for \"DocVQA_layoutLM_large\"\n\nMore Information needed"
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c30d7018342e856e1c73f27abc7f8dd42845afe4 | # Dataset Card for "coastal3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | peldrak/coastal3 | [
"region:us"
] | 2023-11-07T09:57:32+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 442266694.208, "num_ex... | 2023-11-07T12:21:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "coastal3"
More Information needed | [
"# Dataset Card for \"coastal3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"coastal3\"\n\nMore Information needed"
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dfe87f10d92aaf03bf034d07f06d15739ed0818d | # Farfetch web scraped data\
\
## About the website\
\
Farfetch is a British-Portuguese online luxury fashion retail platform **founded in 2007** by Portuguese entrepreneur José Neves. With its head office located in London, UK, the company also operates from offices in Portugal, Los Angeles, Tokyo, S... | PigiVinciDBQ/Farfetch | [
"region:us"
] | 2023-11-07T10:08:30+00:00 | {} | 2023-11-07T10:10:48+00:00 | [] | [] | TAGS
#region-us
| # Farfetch web scraped data\
\
## About the website\
\
Farfetch is a British-Portuguese online luxury fashion retail platform founded in 2007 by Portuguese entrepreneur José Neves. With its head office located in London, UK, the company also operates from offices in Portugal, Los Angeles, Tokyo, Shang... | [
"# Farfetch web scraped data\\\n\\\n ## About the website\\\n\\\n Farfetch is a British-Portuguese online luxury fashion retail platform founded in 2007 by Portuguese entrepreneur José Neves. With its head office located in London, UK, the company also operates from offices in Portugal, Los Angeles,... | [
"TAGS\n#region-us \n",
"# Farfetch web scraped data\\\n\\\n ## About the website\\\n\\\n Farfetch is a British-Portuguese online luxury fashion retail platform founded in 2007 by Portuguese entrepreneur José Neves. With its head office located in London, UK, the company also operates from offices ... | [
6,
598
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"passage: TAGS\n#region-us \n"
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58dcef83a63cccebacd3e786afd73181cc9175e5 |
# 🏟️ Long Code Arena (Commit Message Generation)
This is the benchmark for Commit Message Generation task as part of
🏟️ [Long Code Arena benchmark](https://huggingface.co/spaces/JetBrains-Research/long-code-arena).
Current version is a manually curated subset of the Python test set from the 🤗 [CommitChronicle dat... | JetBrains-Research/lca-commit-message-generation | [
"region:us"
] | 2023-11-07T10:09:18+00:00 | {"dataset_info": [{"config_name": "commitchronicle-py-long", "features": [{"name": "hash", "dtype": "string"}, {"name": "repo", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "license", "dtype": "string"}, {"name": "message", "dtype": "string"}, {"name": "mods", "list": [{"name": "change_type", "dtyp... | 2024-02-06T11:23:30+00:00 | [] | [] | TAGS
#region-us
| ️ Long Code Arena (Commit Message Generation)
=============================================
This is the benchmark for Commit Message Generation task as part of
️ Long Code Arena benchmark.
Current version is a manually curated subset of the Python test set from the CommitChronicle dataset, tailored for larger commi... | [
"### Full data\n\n\nThis section concerns configuration with *full data* about each commit (no '-labels' suffix).\n\n\nEach example has the following fields:\n\n\n\nEach file modification has the following fields:\n\n\n\nData point example:",
"### Labels\n\n\nThis section concerns configuration with metadata and ... | [
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"### Full data\n\n\nThis section concerns configuration with *full data* about each commit (no '-labels' suffix).\n\n\nEach example has the following fields:\n\n\n\nEach file modification has the following fields:\n\n\n\nData point example:",
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4efbe6b90a17d1e5be5f6608a2c21aaf2c8315e8 | # Dataset Card for Multilingual European Datasets for Sensitive Entity Detection in the Legal Domain
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Split Distribution](#split-distribution)
- [Additional In... | dglover1/mapa-eur-lex | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:joelniklaus/mapa",
"language:multilingual",
"language:bg",
"language:cs",
"language:d... | 2023-11-07T10:11:34+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["multilingual", "bg", "cs", "da", "de", "el", "en", "es", "et", "fi", "fr", "ga", "hu", "it", "lt", "lv", "mt", "nl", "pt", "ro", "sk", "sv"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], ... | 2024-01-29T08:44:47+00:00 | [] | [
"multilingual",
"bg",
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"es",
"et",
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"fr",
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"it",
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"lv",
"mt",
"nl",
"pt",
"ro",
"sk",
"sv"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-joelniklaus/mapa #language-multilingual #language-Bulgarian #language-Czech #language-Danish #language-German #langu... | # Dataset Card for Multilingual European Datasets for Sensitive Entity Detection in the Legal Domain
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Split Distribution
- Additional Information
- Licensing Information
- Citation Information
- Contributions
## D... | [
"# Dataset Card for Multilingual European Datasets for Sensitive Entity Detection in the Legal Domain",
"## Table of Contents\n\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n\n- Split Distribution\n \n- Additional Information\n - Licensing Information\n - Citation Information\n -... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-joelniklaus/mapa #language-multilingual #language-Bulgarian #language-Czech #language-Danish #language-German ... | [
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0952706ff416ce89a906493daa5b4044455825f4 | TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#datas... | SerahAKojenu/Masakhane-news | [
"task_categories:text-classification",
"size_categories:n<1K",
"language:en",
"language:yo",
"biology",
"finance",
"region:us"
] | 2023-11-07T10:15:57+00:00 | {"language": ["en", "yo"], "size_categories": ["n<1K"], "task_categories": ["text-classification"], "tags": ["biology", "finance"]} | 2023-11-07T10:41:51+00:00 | [] | [
"en",
"yo"
] | TAGS
#task_categories-text-classification #size_categories-n<1K #language-English #language-Yoruba #biology #finance #region-us
| TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: URL
---
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
-... | [
"# Dataset Card for [Dataset Name]",
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"TAGS\n#task_categories-text-classification #size_categories-n<1K #language-English #language-Yoruba #biology #finance #region-us \n",
"# Dataset Card for [Dataset Name]",
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7c0afaa011acbb1f7a39726f01e69bbc7fc83483 | # Dataset Card for "donutpreparedFinetuneDataGenreted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aminlouhichi/donutpreparedFinetuneDataGenreted | [
"region:us"
] | 2023-11-07T10:34:12+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits":... | 2023-11-07T10:34:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "donutpreparedFinetuneDataGenreted"
More Information needed | [
"# Dataset Card for \"donutpreparedFinetuneDataGenreted\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"donutpreparedFinetuneDataGenreted\"\n\nMore Information needed"
] | [
6,
22
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"passage: TAGS\n#region-us \n# Dataset Card for \"donutpreparedFinetuneDataGenreted\"\n\nMore Information needed"
] |
cf2f9ef89168d31cb09e42993d35b068688fe0df |
Digitial Typhoon Dataset:
KITAMOTO, A., HWANG, J., VUILLOD, B., GAUTIER, L., TIAN, Y., & CLANUWAT, T. (2023, December). Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones. NeurIPS 2023 Datasets and Benchmarks (Spotlight).
This dataset was created by the [Digital ... | torchgeo/digital_typhoon | [
"size_categories:100K<n<1M",
"license:cc-by-4.0",
"region:us"
] | 2023-11-07T10:37:52+00:00 | {"license": "cc-by-4.0", "size_categories": ["100K<n<1M"]} | 2023-12-18T11:04:35+00:00 | [] | [] | TAGS
#size_categories-100K<n<1M #license-cc-by-4.0 #region-us
|
Digitial Typhoon Dataset:
KITAMOTO, A., HWANG, J., VUILLOD, B., GAUTIER, L., TIAN, Y., & CLANUWAT, T. (2023, December). Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones. NeurIPS 2023 Datasets and Benchmarks (Spotlight).
This dataset was created by the Digital T... | [] | [
"TAGS\n#size_categories-100K<n<1M #license-cc-by-4.0 #region-us \n"
] | [
27
] | [
"passage: TAGS\n#size_categories-100K<n<1M #license-cc-by-4.0 #region-us \n"
] |
87d2dd53e17aa5e8725a671fc547c454f36d1142 | # Dataset Card for "parquet_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ShuoShuoShuo/parquet_test | [
"region:us"
] | 2023-11-07T10:57:30+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2612928248.18, "num_examples": 22382}], "download_size": 2598303734, "dataset_size": 2612928248.18}} | 2023-11-29T09:20:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "parquet_test"
More Information needed | [
"# Dataset Card for \"parquet_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"parquet_test\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"parquet_test\"\n\nMore Information needed"
] |
8582000f3769db8e19720efabd0692ad2edfde41 |
# Description
The Pavia Centre and University are two scenes acquired by the [ROSIS](http://www.opairs.aero/rosis_en.html) sensor during a flight campaign over Pavia, nothern Italy. The number of spectral bands is 102 for Pavia Centre and 103 for Pavia University. Pavia Centre is a 1096 $\times$ 1096 pixels image, and... | danaroth/pavia | [
"license:unknown",
"region:us"
] | 2023-11-07T10:58:25+00:00 | {"license": "unknown"} | 2023-11-09T17:57:39+00:00 | [] | [] | TAGS
#license-unknown #region-us
| Description
===========
The Pavia Centre and University are two scenes acquired by the ROSIS sensor during a flight campaign over Pavia, nothern Italy. The number of spectral bands is 102 for Pavia Centre and 103 for Pavia University. Pavia Centre is a 1096 $\times$ 1096 pixels image, and Pavia University is 610 $\ti... | [] | [
"TAGS\n#license-unknown #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-unknown #region-us \n"
] |
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