sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5b0afc18982552025a974238cc885841f1e21363 | # Dataset Card for "ImageNetSubsetValidate"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DeepLearner101/ImageNetSubsetValidate | [
"region:us"
] | 2023-11-02T11:02:31+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 4050613.0, "num_examples": 96}], "download_size": 4049988, "dataset_size": 4050613.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "dat... | 2023-11-02T11:41:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ImageNetSubsetValidate"
More Information needed | [
"# Dataset Card for \"ImageNetSubsetValidate\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ImageNetSubsetValidate\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ImageNetSubsetValidate\"\n\nMore Information needed"
] |
7ff9e752abe906ea56e1434f4877562933684292 |
## Dataset Details
This is a dataset of disease names, their definitions and descriptions.
The information is extracted from the Disease Ontology.
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Question** [More Information Needed]
- **Context** [More Information Needed]
| QuyenAnhDE/Concat_medical | [
"language:en",
"medical",
"region:us"
] | 2023-11-02T11:05:16+00:00 | {"language": ["en"], "tags": ["medical"]} | 2023-11-02T11:12:06+00:00 | [] | [
"en"
] | TAGS
#language-English #medical #region-us
|
## Dataset Details
This is a dataset of disease names, their definitions and descriptions.
The information is extracted from the Disease Ontology.
### Dataset Description
- Question
- Context
| [
"## Dataset Details\nThis is a dataset of disease names, their definitions and descriptions.\n\nThe information is extracted from the Disease Ontology.",
"### Dataset Description\n\n\n\n\n- Question \n- Context"
] | [
"TAGS\n#language-English #medical #region-us \n",
"## Dataset Details\nThis is a dataset of disease names, their definitions and descriptions.\n\nThe information is extracted from the Disease Ontology.",
"### Dataset Description\n\n\n\n\n- Question \n- Context"
] | [
13,
32,
10
] | [
"passage: TAGS\n#language-English #medical #region-us \n## Dataset Details\nThis is a dataset of disease names, their definitions and descriptions.\n\nThe information is extracted from the Disease Ontology.### Dataset Description\n\n\n\n\n- Question \n- Context"
] |
54535024145e6ee48a602e855980e38d8702a7eb | # Dataset Card for "CommentwordExpo_Eng-TH"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nathamon/CommentwordExpo_Eng-TH | [
"region:us"
] | 2023-11-02T11:15:37+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sentence", "dtype": "string"}, {"name": "cleaned_sentence", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2858226, "num_examples": 12407}], "download_size": 1570070, "dataset_siz... | 2023-11-02T11:15:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CommentwordExpo_Eng-TH"
More Information needed | [
"# Dataset Card for \"CommentwordExpo_Eng-TH\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"CommentwordExpo_Eng-TH\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"CommentwordExpo_Eng-TH\"\n\nMore Information needed"
] |
dcfb09d98d49cf8eb44a257a26cd7f7cef275c9c | # Dataset Card for "agemo_json_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jackhogan/agemo_json_prompts | [
"region:us"
] | 2023-11-02T11:17:04+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "correct", "dtype": "string"}, {"name": "scrambled", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5053590.0, "num_examples": 5319}, {"name": "test", "num_bytes": 561510.0, "num_examples": 591}], "download_size": 1349329, "dat... | 2023-11-02T16:19:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "agemo_json_prompts"
More Information needed | [
"# Dataset Card for \"agemo_json_prompts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"agemo_json_prompts\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"agemo_json_prompts\"\n\nMore Information needed"
] |
46cf90fdfab4634133967ff9e046fe27db6afa4e | # Dataset Card for "dataset4sentinement_HSE3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marcus2000/dataset4sentinement_HSE3 | [
"region:us"
] | 2023-11-02T11:31:58+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "sentiment", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17304904.8, "num_example... | 2023-11-02T11:32:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset4sentinement_HSE3"
More Information needed | [
"# Dataset Card for \"dataset4sentinement_HSE3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dataset4sentinement_HSE3\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"dataset4sentinement_HSE3\"\n\nMore Information needed"
] |
447a3501a66b00d31cf621c3a228b97aa7ba9c21 | # Dataset Card for "dataset4sentinement_HSE4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marcus2000/dataset4sentinement_HSE4 | [
"region:us"
] | 2023-11-02T11:48:01+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 5012570.082761489, "num_examp... | 2023-11-02T11:48:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset4sentinement_HSE4"
More Information needed | [
"# Dataset Card for \"dataset4sentinement_HSE4\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dataset4sentinement_HSE4\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"dataset4sentinement_HSE4\"\n\nMore Information needed"
] |
25a6d9526bd410ce71e01f5297d6053e14beca58 | # Dataset Card for "CAI_DC_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sshreyy/CAI_DC_1 | [
"region:us"
] | 2023-11-02T12:18:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 57851094, "num_examples": 25... | 2023-11-02T12:18:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "CAI_DC_1"
More Information needed | [
"# Dataset Card for \"CAI_DC_1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"CAI_DC_1\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"CAI_DC_1\"\n\nMore Information needed"
] |
7146a639c2f45bd7aaaf3b218dc79e83aca4610d | # Dataset Card for "QoLT_apacAnd5Sentences"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | slplab/QoLT_apacAnd5Sentences | [
"region:us"
] | 2023-11-02T12:36:07+00:00 | {"dataset_info": {"features": [{"name": "speaker", "dtype": "string"}, {"name": "audio", "struct": [{"name": "array", "sequence": "float32"}, {"name": "path", "dtype": "string"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "txt", "dtype": "string"}, {"name": "severity", "dtype": "int64"}], "splits": [{"name... | 2023-11-02T12:36:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "QoLT_apacAnd5Sentences"
More Information needed | [
"# Dataset Card for \"QoLT_apacAnd5Sentences\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"QoLT_apacAnd5Sentences\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"QoLT_apacAnd5Sentences\"\n\nMore Information needed"
] |
c3e736bbe8e7646948b315603886b81ba2d1199b | # Dataset Card for "OpenOrca-zh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SUSTech/OpenOrca-zh | [
"region:us"
] | 2023-11-02T12:46:53+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "cot_gpt4", "path": "data/cot_gpt4-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "reponse",... | 2023-11-04T05:48:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OpenOrca-zh"
More Information needed | [
"# Dataset Card for \"OpenOrca-zh\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"OpenOrca-zh\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"OpenOrca-zh\"\n\nMore Information needed"
] |
6392e93095ca7ca48848e3f0455a61a691388678 | # Dataset Card for "find_first_sent_train_100_eval_10_dec"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/find_first_sent_train_100_eval_10_dec | [
"region:us"
] | 2023-11-02T12:50:53+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "validation", "path": "data/validation-*"}, {"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context... | 2023-11-02T13:53:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "find_first_sent_train_100_eval_10_dec"
More Information needed | [
"# Dataset Card for \"find_first_sent_train_100_eval_10_dec\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"find_first_sent_train_100_eval_10_dec\"\n\nMore Information needed"
] | [
6,
28
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"find_first_sent_train_100_eval_10_dec\"\n\nMore Information needed"
] |
1ea15ab9af8c14f205accded75e908b078d75ab1 | # Dataset Card for "OpenOrca-trans"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SUSTech/OpenOrca-trans | [
"region:us"
] | 2023-11-02T12:53:25+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "zh", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39391758, "num_examples": 18786}], "download_size": 17842979, "dataset_size": 39391758}, "configs": [{"config_name": "default", "data_files":... | 2023-11-02T12:53:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OpenOrca-trans"
More Information needed | [
"# Dataset Card for \"OpenOrca-trans\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"OpenOrca-trans\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"OpenOrca-trans\"\n\nMore Information needed"
] |
5fad43bbba4a09cd0b60c72ea3384e91e51e6641 |
# Dataset Card for oasst_quality_with_suggestions
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `dataset... | nataliaElv/oasst_quality_with_suggestions | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-11-02T12:58:16+00:00 | {"size_categories": "1K<n<10K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-11-02T12:58:21+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for oasst\_quality\_with\_suggestions
==================================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'data... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
"TAGS\n#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us \n",
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.f... | [
29,
162,
40,
53,
68,
11,
402,
40,
628,
27,
7,
4,
10,
10,
5,
5,
5,
9,
18,
7,
8,
14,
6,
6,
5
] | [
"passage: TAGS\n#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us \n### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDatase... |
15a8143389d8a5ebda01f8dc34f0bb748a4e9289 |
# Line Graphics (LG) dataset
This is the official page for the LG dataset, as featured in our paper [Line Graphics Digitization: A Step Towards Full Automation](https://link.springer.com/chapter/10.1007/978-3-031-41734-4_27).
By [Omar Moured](https://www.linkedin.com/in/omar-moured/) et al.
## Dataset Summary
The d... | omoured/line-graphics-dataset | [
"license:cc-by-4.0",
"region:us"
] | 2023-11-02T13:01:47+00:00 | {"license": "cc-by-4.0", "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": "image_name", "dtype":... | 2023-11-03T09:50:24+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Line Graphics (LG) dataset
This is the official page for the LG dataset, as featured in our paper Line Graphics Digitization: A Step Towards Full Automation.
By Omar Moured et al.
## Dataset Summary
The dataset includes instance segmentation masks for 400 real line chart images, manually labeled into 11 categorie... | [
"# Line Graphics (LG) dataset\n\nThis is the official page for the LG dataset, as featured in our paper Line Graphics Digitization: A Step Towards Full Automation.\n\nBy Omar Moured et al.",
"## Dataset Summary\nThe dataset includes instance segmentation masks for 400 real line chart images, manually labeled into... | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"# Line Graphics (LG) dataset\n\nThis is the official page for the LG dataset, as featured in our paper Line Graphics Digitization: A Step Towards Full Automation.\n\nBy Omar Moured et al.",
"## Dataset Summary\nThe dataset includes instance segmentation masks for 400 r... | [
15,
49,
121,
4,
92,
25,
34,
31
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n# Line Graphics (LG) dataset\n\nThis is the official page for the LG dataset, as featured in our paper Line Graphics Digitization: A Step Towards Full Automation.\n\nBy Omar Moured et al.## Dataset Summary\nThe dataset includes instance segmentation masks for 400 real... |
6989972e299d53de5fc450cdd2bab5d1f7c062d4 | # Dataset Card for "Topic-Prediction-Context"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Back-up/Topic-Prediction-Context | [
"region:us"
] | 2023-11-02T13:20:37+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "topic", "struct": [{"name": "topic", "dtype": "string"}]}, {"name": "answers", "struct": [{"name": "answer_start", "sequence"... | 2023-11-02T13:20:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Topic-Prediction-Context"
More Information needed | [
"# Dataset Card for \"Topic-Prediction-Context\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Topic-Prediction-Context\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Topic-Prediction-Context\"\n\nMore Information needed"
] |
daa85e908e360c9c19c6d67509327222a094a600 | # Dataset Card for "lsc_acrosplit_topic_vector_128"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/lsc_acrosplit_topic_vector_128 | [
"region:us"
] | 2023-11-02T13:34:42+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "short_form", "dtype": "string"}, {"name": "long_form", "dty... | 2023-11-02T13:35:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lsc_acrosplit_topic_vector_128"
More Information needed | [
"# Dataset Card for \"lsc_acrosplit_topic_vector_128\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lsc_acrosplit_topic_vector_128\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"lsc_acrosplit_topic_vector_128\"\n\nMore Information needed"
] |
0a6678077791b88932527b44dd045c744de27306 | # Dataset Card for "hl-codellama-chat-response"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | magnifi/hl-codellama-chat-response | [
"region:us"
] | 2023-11-02T13:36:09+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "Query", "dtype": "string"}, {"name": "Result", "dtype": "string"}, {"name": "chat_response", "dtype": "string"}], "splits": [{"name": "t... | 2023-11-02T16:45:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hl-codellama-chat-response"
More Information needed | [
"# Dataset Card for \"hl-codellama-chat-response\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hl-codellama-chat-response\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hl-codellama-chat-response\"\n\nMore Information needed"
] |
5b77ccaed0c38bd2d5e4c2bba8b6533166233a3d | # Dataset Card for "AN4_ASR_dataset"
This dataset can be used to train NEMO English Speech models.
Audio files are sampled at `16kHz`.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SaffalPoosh/AN4_ASR_dataset | [
"region:us"
] | 2023-11-02T13:55:30+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "audio_filepath", "dtype": "audio"}, {"name": "duration", "dtype": "float64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": ... | 2023-11-02T15:08:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AN4_ASR_dataset"
This dataset can be used to train NEMO English Speech models.
Audio files are sampled at '16kHz'.
More Information needed | [
"# Dataset Card for \"AN4_ASR_dataset\"\n\nThis dataset can be used to train NEMO English Speech models.\n\nAudio files are sampled at '16kHz'.\n\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"AN4_ASR_dataset\"\n\nThis dataset can be used to train NEMO English Speech models.\n\nAudio files are sampled at '16kHz'.\n\n\nMore Information needed"
] | [
6,
44
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"AN4_ASR_dataset\"\n\nThis dataset can be used to train NEMO English Speech models.\n\nAudio files are sampled at '16kHz'.\n\n\nMore Information needed"
] |
725c273da709add681b7d3fdfb17c419d7be7f22 | # Dataset Card for "ultrafeedback-instruction-dataset-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alvarobartt/ultrafeedback-instruction-dataset-mini | [
"region:us"
] | 2023-11-02T14:13:42+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "generations", "sequence": "string"}, {"name": "raw_generation_response", "sequence": "string"}, {"name": "rating", "sequence": "int64"}, {"name": "rationale", "sequence": "string"}, {"name": "raw_labelling_response", "struct": [{"name"... | 2023-11-03T11:30:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ultrafeedback-instruction-dataset-mini"
More Information needed | [
"# Dataset Card for \"ultrafeedback-instruction-dataset-mini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ultrafeedback-instruction-dataset-mini\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ultrafeedback-instruction-dataset-mini\"\n\nMore Information needed"
] |
164d3b41852b1eebe89f1dc0e6e0042f16835ea0 | # Dataset Card for "librispeech_long"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | distil-whisper/librispeech_long | [
"region:us"
] | 2023-11-02T14:22:51+00:00 | {"dataset_info": {"config_name": "clean", "features": [{"name": "audio", "dtype": "audio"}], "splits": [{"name": "validation", "num_bytes": 1998609.0, "num_examples": 1}], "download_size": 1984721, "dataset_size": 1998609.0}, "configs": [{"config_name": "clean", "data_files": [{"split": "validation", "path": "clean/val... | 2023-11-02T14:22:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "librispeech_long"
More Information needed | [
"# Dataset Card for \"librispeech_long\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"librispeech_long\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"librispeech_long\"\n\nMore Information needed"
] |
91f51b34ca947512adc0133b77ecb3241745e0b8 | # Dataset Card for "noisy-cifar10-reconstructions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | englert-m/noisy-cifar10-reconstructions | [
"region:us"
] | 2023-11-02T14:26:26+00:00 | {"dataset_info": {"features": [{"name": "orig", "dtype": "uint32"}, {"name": "corrupted", "dtype": "image"}, {"name": "count", "dtype": "uint32"}, {"name": "xflip", "dtype": "int64"}, {"name": "yflip", "dtype": "int64"}, {"name": "scale", "dtype": "float32"}, {"name": "rotate_frac", "dtype": "float32"}, {"name": "aniso... | 2023-11-02T15:43:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "noisy-cifar10-reconstructions"
More Information needed | [
"# Dataset Card for \"noisy-cifar10-reconstructions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"noisy-cifar10-reconstructions\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"noisy-cifar10-reconstructions\"\n\nMore Information needed"
] |
99f1b221e38f4e41a5c6fa6007e1a5d9b760ce6c | # Dataset Card for "Topic-Prediction-Context-With-Random-Prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Back-up/Topic-Prediction-Context-With-Random-Prompts | [
"region:us"
] | 2023-11-02T14:27:58+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "topic", "struct": [{"name": "topic", "dtype": "string"}]}, {"name": "answers", "struct": [{"name": "answer_start", "sequence"... | 2023-11-02T14:28:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Topic-Prediction-Context-With-Random-Prompts"
More Information needed | [
"# Dataset Card for \"Topic-Prediction-Context-With-Random-Prompts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Topic-Prediction-Context-With-Random-Prompts\"\n\nMore Information needed"
] | [
6,
28
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Topic-Prediction-Context-With-Random-Prompts\"\n\nMore Information needed"
] |
a4aa15b101d12dd34c5712736d5ab9c690ca2366 | # Dataset Card for "easy-german-explanations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jmelsbach/easy-german-explanations | [
"region:us"
] | 2023-11-02T14:46:34+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "href", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "content", "dtype": "strin... | 2023-11-02T14:46:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "easy-german-explanations"
More Information needed | [
"# Dataset Card for \"easy-german-explanations\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"easy-german-explanations\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"easy-german-explanations\"\n\nMore Information needed"
] |
68ea58fdae44ab79b4fa2ede1685352cfde028c6 | # Dataset Card for "Topic-Prediction-Context-With-Random-Prompts-in-the-end"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Back-up/Topic-Prediction-Context-With-Random-Prompts-in-the-end | [
"region:us"
] | 2023-11-02T14:48:47+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "topic", "struct": [{"name": "topic", "dtype": "string"}]}, {"name": "answers", "struct": [{"name": "answer_start", "sequence"... | 2023-11-02T14:48:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Topic-Prediction-Context-With-Random-Prompts-in-the-end"
More Information needed | [
"# Dataset Card for \"Topic-Prediction-Context-With-Random-Prompts-in-the-end\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Topic-Prediction-Context-With-Random-Prompts-in-the-end\"\n\nMore Information needed"
] | [
6,
34
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Topic-Prediction-Context-With-Random-Prompts-in-the-end\"\n\nMore Information needed"
] |
7ed6744a3c59fb5e2fd3cd84c65b824c3249caad |
# Dataset Card for Evaluation run of 01-ai/Yi-34B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/01-ai/Yi-34B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset auto... | open-llm-leaderboard/details_01-ai__Yi-34B | [
"region:us"
] | 2023-11-02T14:49:36+00:00 | {"pretty_name": "Evaluation run of 01-ai/Yi-34B", "dataset_summary": "Dataset automatically created during the evaluation run of model [01-ai/Yi-34B](https://huggingface.co/01-ai/Yi-34B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of 3 conf... | 2023-12-01T14:52:34+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of 01-ai/Yi-34B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model 01-ai/Yi-34B on the Open LLM Leaderboard.
The dataset is comp... | [
"# Dataset Card for Evaluation run of 01-ai/Yi-34B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model 01-ai/Yi-34B on the Open LLM Leaderboard.\... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of 01-ai/Yi-34B",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model 01-ai/Yi-34B on t... | [
6,
17,
31,
166,
66,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
5
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of 01-ai/Yi-34B## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL### Dataset Summary\n\nDataset automatically created during the evaluation run of model 01-ai/Yi-34B on the Open L... |
d3df001904708a53a234cb792c1498ae60ae5c4d | # Dataset Card for "ace_attorney"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | paoloitaliani/ace_attorney | [
"region:us"
] | 2023-11-02T15:11:54+00:00 | {"dataset_info": [{"config_name": "all", "features": [{"name": "document", "dtype": "string"}, {"name": "qa_pair", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4066829, "num_examples": 3854}, {"name": "validation", "num_bytes": ... | 2023-11-22T14:21:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ace_attorney"
More Information needed | [
"# Dataset Card for \"ace_attorney\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ace_attorney\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ace_attorney\"\n\nMore Information needed"
] |
0a0fe9c8bdace3f33202bbef130ad18f2040e169 | # Dataset Card for "csaw_dense4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Phaedrus/csaw_dense4 | [
"region:us"
] | 2023-11-02T15:16:19+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label1", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 308923702.0, "num_examples": 264}], "download_size": 46021390, "dataset_size": 308923702.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path... | 2023-11-02T15:16:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "csaw_dense4"
More Information needed | [
"# Dataset Card for \"csaw_dense4\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"csaw_dense4\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"csaw_dense4\"\n\nMore Information needed"
] |
8ba410064265e0217a2be5c8e3b39f43e3e6c59a | # Dataset Card for "eurlexsum_ita_cleaned_8192_232"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gianma/eurlexsum_ita_cleaned_8192_232 | [
"region:us"
] | 2023-11-02T15:22:31+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": "id", "dtype": "string"}, {"name": "is_camera", "dtype": "bool"}, {"name": "referen... | 2023-11-05T11:45:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "eurlexsum_ita_cleaned_8192_232"
More Information needed | [
"# Dataset Card for \"eurlexsum_ita_cleaned_8192_232\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"eurlexsum_ita_cleaned_8192_232\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"eurlexsum_ita_cleaned_8192_232\"\n\nMore Information needed"
] |
f26ab43c29825e03017f8a5d8819105d4a081339 |
# mini coco dataset files
# Required dependencies
```
OpenCV (cv2)
matplotlib
ipywidgets
```
# img_data.psv
Extract of the coco dataset containing the following labels: ```["airplane", "backpack", "cell phone", "handbag", "suitcase", "knife", "laptop", "car"]``` (300 of each)
```
Structured as follows:
| Fi... | iix/mini_coco_linux | [
"task_categories:text-classification",
"task_categories:text-generation",
"size_categories:0.001M<n<0.0011M",
"language:en",
"license:mit",
"code",
"region:us"
] | 2023-11-02T15:26:24+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["0.001M<n<0.0011M"], "task_categories": ["text-classification", "text-generation"], "pretty_name": "*", "tags": ["code"]} | 2023-11-02T16:59:42+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-text-generation #size_categories-0.001M<n<0.0011M #language-English #license-mit #code #region-us
|
# mini coco dataset files
# Required dependencies
# img_data.psv
Extract of the coco dataset containing the following labels: (300 of each)
# /data (folder)
This directory contains a selection of zero-padded COCO images that correspond to img_data.parquet, image names are of the following format:
# di... | [
"# mini coco dataset files",
"# Required dependencies",
"# img_data.psv\n\nExtract of the coco dataset containing the following labels: (300 of each)",
"# /data (folder)\n\nThis directory contains a selection of zero-padded COCO images that correspond to img_data.parquet, image names are of the following fo... | [
"TAGS\n#task_categories-text-classification #task_categories-text-generation #size_categories-0.001M<n<0.0011M #language-English #license-mit #code #region-us \n",
"# mini coco dataset files",
"# Required dependencies",
"# img_data.psv\n\nExtract of the coco dataset containing the following labels: (300 of ... | [
54,
6,
6,
27,
41,
51
] | [
"passage: TAGS\n#task_categories-text-classification #task_categories-text-generation #size_categories-0.001M<n<0.0011M #language-English #license-mit #code #region-us \n# mini coco dataset files# Required dependencies# img_data.psv\n\nExtract of the coco dataset containing the following labels: (300 of each)# /d... |
2185c72180d888ce53290ed37b80f390a0557987 | # Dataset Card for "Topic-Prediction-with-pair-qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Back-up/Topic-Prediction-with-pair-qa | [
"region:us"
] | 2023-11-02T15:26:30+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "topic", "struct": [{"name": "topic", "dtype": "string"}]}, {"name": "answers", "struct": [{"name": "answer_start", "sequence"... | 2023-11-02T15:31:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Topic-Prediction-with-pair-qa"
More Information needed | [
"# Dataset Card for \"Topic-Prediction-with-pair-qa\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Topic-Prediction-with-pair-qa\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Topic-Prediction-with-pair-qa\"\n\nMore Information needed"
] |
ce9a72e0eb443eb8342928f4c72a76250616f496 | # Dataset Card for "Topic-Prediction-with-pair-qa-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Back-up/Topic-Prediction-with-pair-qa-v1 | [
"region:us"
] | 2023-11-02T15:32:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "topic", "struct": [{"nam... | 2023-11-02T15:32:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Topic-Prediction-with-pair-qa-v1"
More Information needed | [
"# Dataset Card for \"Topic-Prediction-with-pair-qa-v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Topic-Prediction-with-pair-qa-v1\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Topic-Prediction-with-pair-qa-v1\"\n\nMore Information needed"
] |
767572107b907a9c77491440b27885af67e4d2c4 | # Dataset Card for "new_dataset_finetune"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Varun1808/new_dataset_finetune | [
"region:us"
] | 2023-11-02T15:40:58+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13167, "num_examples": 55}], "download_size": 4677, "dataset_size": 13167}, "configs": [{"config_name": "default", "data_f... | 2023-11-02T15:41:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "new_dataset_finetune"
More Information needed | [
"# Dataset Card for \"new_dataset_finetune\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"new_dataset_finetune\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"new_dataset_finetune\"\n\nMore Information needed"
] |
e7cba2d862bb270a18415f71268040d6c20e99d7 | # **VOC2012 Image and Annotation Visualization** Notebook
**Github**: https://github.com/ikaankeskin/MLXdatasets/tree/main/ObjectDetection/PASCAL
**HuggingFace**: https://huggingface.co/datasets/ikaankeskin/PASCAL_MLX
This repository contains a tool that facilitates the download, extraction, and visualization of the... | ikaankeskin/PASCAL_MLX | [
"region:us"
] | 2023-11-02T15:41:22+00:00 | {} | 2023-11-02T16:19:35+00:00 | [] | [] | TAGS
#region-us
| # VOC2012 Image and Annotation Visualization Notebook
Github: URL
HuggingFace: URL
This repository contains a tool that facilitates the download, extraction, and visualization of the VOC2012 dataset, complete with bounding box annotations extracted from associated XML files.
## Features
- Automated Dataset Downloa... | [
"# VOC2012 Image and Annotation Visualization Notebook\n\nGithub: URL\n\nHuggingFace: URL\n\nThis repository contains a tool that facilitates the download, extraction, and visualization of the VOC2012 dataset, complete with bounding box annotations extracted from associated XML files.",
"## Features\n\n- Automate... | [
"TAGS\n#region-us \n",
"# VOC2012 Image and Annotation Visualization Notebook\n\nGithub: URL\n\nHuggingFace: URL\n\nThis repository contains a tool that facilitates the download, extraction, and visualization of the VOC2012 dataset, complete with bounding box annotations extracted from associated XML files.",
"... | [
6,
63,
332
] | [
"passage: TAGS\n#region-us \n# VOC2012 Image and Annotation Visualization Notebook\n\nGithub: URL\n\nHuggingFace: URL\n\nThis repository contains a tool that facilitates the download, extraction, and visualization of the VOC2012 dataset, complete with bounding box annotations extracted from associated XML files.## ... |
e89d1288fe5dc085cc4e16bd95be118f703d5c6b |
Reference : "A Question-Entailment Approach to Question Answering". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019."
<br/>This is an update of Keivalya Pandya's dataset (keival... | Laurent1/MedQuad-MedicalQnADataset_128tokens_max | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-11-02T15:43:47+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text-generation"]} | 2023-11-03T06:52:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
|
!image/jpeg
Reference : "A Question-Entailment Approach to Question Answering". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019."
<br/>This is an update of Keivalya Pandya's dataset (keivalya/MedQuad-MedicalQnADataset).
<h1> Content </h1>
There are medical questions and corresponding responses in... | [] | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
] | [
53
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n"
] |
7aa5f629b5c896c558075335005159e403ebdac6 | # ToaGPT Dataset
<!-- 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).
## Dataset Details
... | agency888/TaoGPT-v1 | [
"task_categories:question-answering",
"task_categories:text2text-generation",
"task_categories:table-question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"Science",
"TaoScience",
"doi:10.57967/hf/1310",
"region:us"
] | 2023-11-02T15:49:18+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "text2text-generation", "table-question-answering"], "tags": ["Science", "TaoScience"], "dataset_info": {"features": [{"name": "answer", "dtype": "string"}, {"name": "text_mistral", "dtype": "string"}, {"na... | 2023-11-03T14:24:42+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text2text-generation #task_categories-table-question-answering #size_categories-1K<n<10K #language-English #license-mit #Science #TaoScience #doi-10.57967/hf/1310 #region-us
| # ToaGPT Dataset
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
- Curated by: Adithya S K
- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP): [English]
- License: [MIT]
### Dataset Sou... | [
"# ToaGPT Dataset\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.",
"## Dataset Details",
"### Dataset Description\n\n\n\n\n\n- Curated by: Adithya S K\n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): [English]\n- Lice... | [
"TAGS\n#task_categories-question-answering #task_categories-text2text-generation #task_categories-table-question-answering #size_categories-1K<n<10K #language-English #license-mit #Science #TaoScience #doi-10.57967/hf/1310 #region-us \n",
"# ToaGPT Dataset\n\n\n\nThis dataset card aims to be a base template for n... | [
84,
33,
4,
51,
23,
24,
4,
13
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-text2text-generation #task_categories-table-question-answering #size_categories-1K<n<10K #language-English #license-mit #Science #TaoScience #doi-10.57967/hf/1310 #region-us \n# ToaGPT Dataset\n\n\n\nThis dataset card aims to be a base template fo... |
c72e1dc64cd47a74085aaf56861485582c7c1bde | # ChineseWebText: Large-Scale High-quality Chinese Web Text Extracted with Effective Evaluation Model
This directory contains the ChineseWebText dataset, and the EvalWeb tool-chain to process CommonCrawl Data. Our EvalWeb tool is publicly available on github https://github.com/CASIA-LM/ChineseWebText.
# ChineseWebTe... | CASIA-LM/ChineseWebText | [
"arxiv:2311.01149",
"region:us"
] | 2023-11-02T15:49:54+00:00 | {} | 2023-11-13T01:59:09+00:00 | [
"2311.01149"
] | [] | TAGS
#arxiv-2311.01149 #region-us
| # ChineseWebText: Large-Scale High-quality Chinese Web Text Extracted with Effective Evaluation Model
This directory contains the ChineseWebText dataset, and the EvalWeb tool-chain to process CommonCrawl Data. Our EvalWeb tool is publicly available on github URL
# ChineseWebText
- ### Dataset Overview
We release ... | [
"# ChineseWebText: Large-Scale High-quality Chinese Web Text Extracted with Effective Evaluation Model\n\nThis directory contains the ChineseWebText dataset, and the EvalWeb tool-chain to process CommonCrawl Data. Our EvalWeb tool is publicly available on github URL",
"# ChineseWebText \n\n- ### Dataset Overview... | [
"TAGS\n#arxiv-2311.01149 #region-us \n",
"# ChineseWebText: Large-Scale High-quality Chinese Web Text Extracted with Effective Evaluation Model\n\nThis directory contains the ChineseWebText dataset, and the EvalWeb tool-chain to process CommonCrawl Data. Our EvalWeb tool is publicly available on github URL",
"... | [
15,
63,
237
] | [
"passage: TAGS\n#arxiv-2311.01149 #region-us \n# ChineseWebText: Large-Scale High-quality Chinese Web Text Extracted with Effective Evaluation Model\n\nThis directory contains the ChineseWebText dataset, and the EvalWeb tool-chain to process CommonCrawl Data. Our EvalWeb tool is publicly available on github URL# C... |
3b18a1f0206ade5dab87f6162ccffe7b53b5c31e |
# MountainCar-v0 - Imitation Learning Datasets
This is a dataset created by [Imitation Learning Datasets](https://github.com/NathanGavenski/IL-Datasets) project.
It was created by using Stable Baselines weights from a DQN policy from [HuggingFace](https://huggingface.co/sb3/dqn-MountainCar-v0).
## Description
The ... | NathanGavenski/MountainCar-v0 | [
"size_categories:10M<n<100M",
"license:mit",
"Imitation Learning",
"Expert Trajectory",
"region:us"
] | 2023-11-02T16:00:28+00:00 | {"license": "mit", "size_categories": ["10M<n<100M"], "pretty_name": "MountainCar-v0 Expert Dataset", "tags": ["Imitation Learning", "Expert Trajectory"]} | 2023-11-02T16:03:38+00:00 | [] | [] | TAGS
#size_categories-10M<n<100M #license-mit #Imitation Learning #Expert Trajectory #region-us
|
# MountainCar-v0 - Imitation Learning Datasets
This is a dataset created by Imitation Learning Datasets project.
It was created by using Stable Baselines weights from a DQN policy from HuggingFace.
## Description
The dataset consists of 1,000 episodes with an average episodic reward of '-98.817'.
Each entry consis... | [
"# MountainCar-v0 - Imitation Learning Datasets\n\nThis is a dataset created by Imitation Learning Datasets project. \nIt was created by using Stable Baselines weights from a DQN policy from HuggingFace.",
"## Description\n\nThe dataset consists of 1,000 episodes with an average episodic reward of '-98.817'.\nEac... | [
"TAGS\n#size_categories-10M<n<100M #license-mit #Imitation Learning #Expert Trajectory #region-us \n",
"# MountainCar-v0 - Imitation Learning Datasets\n\nThis is a dataset created by Imitation Learning Datasets project. \nIt was created by using Stable Baselines weights from a DQN policy from HuggingFace.",
"##... | [
33,
51,
30,
113
] | [
"passage: TAGS\n#size_categories-10M<n<100M #license-mit #Imitation Learning #Expert Trajectory #region-us \n# MountainCar-v0 - Imitation Learning Datasets\n\nThis is a dataset created by Imitation Learning Datasets project. \nIt was created by using Stable Baselines weights from a DQN policy from HuggingFace.## De... |
8af1c01b2f0a68cfc2f7e5ec05594d383f2cf714 | # Dataset Card for "ukabs_id"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CJWeiss/ukabs_id | [
"region:us"
] | 2023-11-02T16:36:30+00:00 | {"dataset_info": {"features": [{"name": "judgement", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 53147657, "num_examples": 594}, {"name": "test", "num_bytes": 10152794, "num_examples": 120}, {"name": "valid", "num_bytes": 81126... | 2023-11-02T16:36:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ukabs_id"
More Information needed | [
"# Dataset Card for \"ukabs_id\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ukabs_id\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ukabs_id\"\n\nMore Information needed"
] |
45b79651708aa1f5b093729498b155cb6dda1e36 | # Dataset Card for "gpt4_pipe_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Xapien/gpt4_pipe_test | [
"region:us"
] | 2023-11-02T16:46:54+00:00 | {"dataset_info": {"features": [{"name": "input_data", "dtype": "string"}, {"name": "output_data", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2067, "num_examples": 2}], "download_size": 8861, "dataset_size": 2067}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data... | 2023-11-02T16:46:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gpt4_pipe_test"
More Information needed | [
"# Dataset Card for \"gpt4_pipe_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"gpt4_pipe_test\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"gpt4_pipe_test\"\n\nMore Information needed"
] |
88244415a8362b5b1b46dd446332109227a8df29 | # Dataset Card for "hl-codellama-chat-response-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | magnifi/hl-codellama-chat-response-v2 | [
"region:us"
] | 2023-11-02T16:47:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "Query", "dtype": "string"}, {"name": "Result", "dtype": "string"}, {"name": "chat_response", "dtype": "string"}], "splits": [{"name": "t... | 2023-11-02T16:47:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hl-codellama-chat-response-v2"
More Information needed | [
"# Dataset Card for \"hl-codellama-chat-response-v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hl-codellama-chat-response-v2\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hl-codellama-chat-response-v2\"\n\nMore Information needed"
] |
07f69284ae99bb60214c0d34fec3b46ba52115fa | # Dataset Card for "WikiDocPatientInformation_Dutch_translated_with_MariaNMT"
Translation of the **English** version of the Hugging dataset [WikiDoc patient information](https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc_patient_information), based
on [WikiDoc](https://www.wikidoc.org/index.php/Main_Page... | UMCU/WikiDocPatientInformation_Dutch_translated_with_MariaNMT | [
"task_categories:sentence-similarity",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:nl",
"license:gpl-3.0",
"medical",
"arxiv:1910.13461",
"doi:10.57967/hf/1669",
"region:us"
] | 2023-11-02T17:06:48+00:00 | {"language": ["nl"], "license": "gpl-3.0", "size_categories": ["1K<n<10K"], "task_categories": ["sentence-similarity", "question-answering"], "pretty_name": "Dutch translation of WikiDoc", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [... | 2024-01-22T09:48:00+00:00 | [
"1910.13461"
] | [
"nl"
] | TAGS
#task_categories-sentence-similarity #task_categories-question-answering #size_categories-1K<n<10K #language-Dutch #license-gpl-3.0 #medical #arxiv-1910.13461 #doi-10.57967/hf/1669 #region-us
| # Dataset Card for "WikiDocPatientInformation_Dutch_translated_with_MariaNMT"
Translation of the English version of the Hugging dataset WikiDoc patient information, based
on WikiDoc, a medical wikipedia.
to Dutch using an Maria NMT model, trained by Helsinki NLP.
Note, for reference: Maria NMT is based on BART, descri... | [
"# Dataset Card for \"WikiDocPatientInformation_Dutch_translated_with_MariaNMT\"\n\nTranslation of the English version of the Hugging dataset WikiDoc patient information, based\non WikiDoc, a medical wikipedia.\nto Dutch using an Maria NMT model, trained by Helsinki NLP.\nNote, for reference: Maria NMT is based on ... | [
"TAGS\n#task_categories-sentence-similarity #task_categories-question-answering #size_categories-1K<n<10K #language-Dutch #license-gpl-3.0 #medical #arxiv-1910.13461 #doi-10.57967/hf/1669 #region-us \n",
"# Dataset Card for \"WikiDocPatientInformation_Dutch_translated_with_MariaNMT\"\n\nTranslation of the English... | [
81,
89,
26,
72
] | [
"passage: TAGS\n#task_categories-sentence-similarity #task_categories-question-answering #size_categories-1K<n<10K #language-Dutch #license-gpl-3.0 #medical #arxiv-1910.13461 #doi-10.57967/hf/1669 #region-us \n# Dataset Card for \"WikiDocPatientInformation_Dutch_translated_with_MariaNMT\"\n\nTranslation of the Engl... |
6cdae117e919a4f5cb47ed899f51ed3d94aa5268 |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
A dataset containing songs, artists names, link to song and lyrics
## Dataset Details
Dataset retrieved from https://www.kaggle.com/datasets/notshrirang/spotify-million-song-dataset
### Dataset Description
<!-- Provide a longer summ... | sebastiandizon/spotify-million-song | [
"region:us"
] | 2023-11-02T17:19:49+00:00 | {} | 2023-11-02T17:41:50+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Dataset Name
A dataset containing songs, artists names, link to song and lyrics
## Dataset Details
Dataset retrieved from URL
### Dataset Description
This is Spotify Million Song Dataset. This dataset contains song names, artists names, link to the song and lyrics. This dataset can be used ... | [
"# Dataset Card for Dataset Name\n\n\n\nA dataset containing songs, artists names, link to song and lyrics",
"## Dataset Details\n\nDataset retrieved from URL",
"### Dataset Description\n\n\n\nThis is Spotify Million Song Dataset. This dataset contains song names, artists names, link to the song and lyrics. Thi... | [
"TAGS\n#region-us \n",
"# Dataset Card for Dataset Name\n\n\n\nA dataset containing songs, artists names, link to song and lyrics",
"## Dataset Details\n\nDataset retrieved from URL",
"### Dataset Description\n\n\n\nThis is Spotify Million Song Dataset. This dataset contains song names, artists names, link to... | [
6,
24,
11,
81,
16,
3,
4,
9,
65,
5,
7,
4,
7,
10,
5,
9,
8,
10,
35,
5
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Dataset Name\n\n\n\nA dataset containing songs, artists names, link to song and lyrics## Dataset Details\n\nDataset retrieved from URL### Dataset Description\n\n\n\nThis is Spotify Million Song Dataset. This dataset contains song names, artists names, link to the song... |
2962ed1b41b59d2d29624f12a88f50f161b37ce8 | # Dataset Card for "tla_code_eval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aneeshas/tla_code_eval | [
"region:us"
] | 2023-11-02T17:28:31+00:00 | {"dataset_info": {"features": [{"name": "protocol", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "val", "num_bytes": 110431, "num_examples": 18}], "download_size": 47115, "dataset_size": 110431}, "configs": [{"config_name": "default", "data_files"... | 2023-11-02T17:54:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tla_code_eval"
More Information needed | [
"# Dataset Card for \"tla_code_eval\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tla_code_eval\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tla_code_eval\"\n\nMore Information needed"
] |
8e1a90aaeed64a0100e9c476f1842043cb563ea5 | # gi_cutscn_new
This repository contains cut-scene video files from a certain anime game (a.k.a. GI).
 ![Releas... | DeliberatorArchiver/gi_cutscn_new | [
"language:zh",
"language:en",
"language:ja",
"language:ko",
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2023-11-02T17:31:50+00:00 | {"language": ["zh", "en", "ja", "ko"], "license": "cc-by-nc-nd-4.0", "viewer": false} | 2024-01-15T13:04:36+00:00 | [] | [
"zh",
"en",
"ja",
"ko"
] | TAGS
#language-Chinese #language-English #language-Japanese #language-Korean #license-cc-by-nc-nd-4.0 #region-us
| gi\_cutscn\_new
===============
This repository contains cut-scene video files from a certain anime game (a.k.a. GI).
!Release Channel !Release Version !Official Version
Disclaimer
----------
This resource is released for educational or research purposes only. Copyrights and other rights to this resource belong... | [
"### Details\n\n\nThe original files were extracted directly from the game.\n\n\nThe original file contains one video track and four audio tracks (Chinese, English, Japanese, and Korean). The video track is encoded in VP9 and the audio track is encoded in CRI HCA. All video and audio tracks are packed in CRI USM.",... | [
"TAGS\n#language-Chinese #language-English #language-Japanese #language-Korean #license-cc-by-nc-nd-4.0 #region-us \n",
"### Details\n\n\nThe original files were extracted directly from the game.\n\n\nThe original file contains one video track and four audio tracks (Chinese, English, Japanese, and Korean). The vi... | [
39,
78,
73,
26,
105,
5
] | [
"passage: TAGS\n#language-Chinese #language-English #language-Japanese #language-Korean #license-cc-by-nc-nd-4.0 #region-us \n### Details\n\n\nThe original files were extracted directly from the game.\n\n\nThe original file contains one video track and four audio tracks (Chinese, English, Japanese, and Korean). The... |
f58df92c8f962958ab43496d5592598bace74afa | <div align="center">
<!-- <img src="https://big-cheng.com/k2/k2.png" alt="k2-logo" width="200"/> -->
<h2>📈 CFBenchmark: Chinese Financial Assistant with Large Language Model</h2>
</div>
<div align="center" style="display: flex; justify-content: center">
<a href='https://arxiv.org/abs/2311.05812' style="margin-left:1... | TongjiFinLab/CFBenchmark | [
"task_categories:text-classification",
"task_categories:summarization",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"arxiv:2311.05812",
"region:us"
] | 2023-11-02T17:32:08+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification", "summarization", "text-generation"]} | 2023-12-16T14:36:22+00:00 | [
"2311.05812"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-summarization #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-apache-2.0 #arxiv-2311.05812 #region-us
| <div align="center">
<h2> CFBenchmark: Chinese Financial Assistant with Large Language Model</h2>
</div>
<div align="center" style="display: flex; justify-content: center">
<a href='URL style="margin-left:15px"><img src='URL
<a href='URL style="margin-left:15px"><img src='URL Face-CFBenchmark-red'></a>
<a href=''... | [
"# Introduction\n\nWelcome to CFBenchmark\n\nIn recent years, with the rapid development of Large Language Models~(LLMs), outstanding performance has been achieved in various tasks by existing LLMs. However, we notice that there is currently a limited amount of benchmarks focused on assessing the performance of LLM... | [
"TAGS\n#task_categories-text-classification #task_categories-summarization #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-apache-2.0 #arxiv-2311.05812 #region-us \n",
"# Introduction\n\nWelcome to CFBenchmark\n\nIn recent years, with the rapid development of Large Language M... | [
71,
248,
37,
315,
3,
12,
61,
259
] | [
"passage: TAGS\n#task_categories-text-classification #task_categories-summarization #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-apache-2.0 #arxiv-2311.05812 #region-us \n# Introduction\n\nWelcome to CFBenchmark\n\nIn recent years, with the rapid development of Large Languag... |
98355e3b92afb9f92072cbd91dba766f68a70d9a |
This repository contains the English '[SemEval-2014 Task 4: Aspect Based Sentiment Analysis](https://aclanthology.org/S14-2004/)'. translated with DeepL into Spanish, French, Russian, and Turkish. The **labels have been manually projected**. For more details, read this paper: [Model and Data Transfer for Cross-Lingua... | HiTZ/Multilingual-Opinion-Target-Extraction | [
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:en",
"language:fr",
"language:es",
"language:ru",
"language:tr",
"license:apache-2.0",
"opinion",
"target",
"absa",
"aspect",
"sentiment analysis",
"arxiv:2210.12623",
"arxiv:2212.10548",
"region:us"
] | 2023-11-02T17:41:40+00:00 | {"language": ["en", "fr", "es", "ru", "tr"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "paperswithcode_id": "aspect-based-sentiment-analysis", "pretty_name": "Multilingual Opinion Target Extraction", "arxiv": 2210.12623, "configs": [{"config_name": "en", "dat... | 2023-11-22T13:32:07+00:00 | [
"2210.12623",
"2212.10548"
] | [
"en",
"fr",
"es",
"ru",
"tr"
] | TAGS
#task_categories-token-classification #size_categories-1K<n<10K #language-English #language-French #language-Spanish #language-Russian #language-Turkish #license-apache-2.0 #opinion #target #absa #aspect #sentiment analysis #arxiv-2210.12623 #arxiv-2212.10548 #region-us
|
This repository contains the English 'SemEval-2014 Task 4: Aspect Based Sentiment Analysis'. translated with DeepL into Spanish, French, Russian, and Turkish. The labels have been manually projected. For more details, read this paper: Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Setti... | [
"# Label Dictionary",
"# Cication\n\nIf you use this data, please cite the following papers:"
] | [
"TAGS\n#task_categories-token-classification #size_categories-1K<n<10K #language-English #language-French #language-Spanish #language-Russian #language-Turkish #license-apache-2.0 #opinion #target #absa #aspect #sentiment analysis #arxiv-2210.12623 #arxiv-2212.10548 #region-us \n",
"# Label Dictionary",
"# Cica... | [
96,
3,
16
] | [
"passage: TAGS\n#task_categories-token-classification #size_categories-1K<n<10K #language-English #language-French #language-Spanish #language-Russian #language-Turkish #license-apache-2.0 #opinion #target #absa #aspect #sentiment analysis #arxiv-2210.12623 #arxiv-2212.10548 #region-us \n# Label Dictionary# Cicatio... |
705564aeb05024a265d4469f487f26e88fec7a1a | # Dataset Card for "guanaco-llama2-1k-testArt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deepbrain/guanaco-llama2-1k-testArt | [
"region:us"
] | 2023-11-02T18:15:49+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1654448, "num_examples": 1000}], "download_size": 0, "dataset_size": 1654448}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-03T02:22:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "guanaco-llama2-1k-testArt"
More Information needed | [
"# Dataset Card for \"guanaco-llama2-1k-testArt\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"guanaco-llama2-1k-testArt\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"guanaco-llama2-1k-testArt\"\n\nMore Information needed"
] |
ed0ace5b0e55d7e5ce801274c0c8a0541fba7c03 | # Dataset Card for "vlsp-dataset-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pphuc25/vlsp-dataset-2 | [
"region:us"
] | 2023-11-02T18:16:34+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6165849355.594, "num_examples": 50482}], "download_size": 6304115752, "dataset_size": 6165849355.594}, "configs": [{"config_name": "default", "data_files": [{"split": "... | 2023-11-02T18:23:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vlsp-dataset-2"
More Information needed | [
"# Dataset Card for \"vlsp-dataset-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"vlsp-dataset-2\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"vlsp-dataset-2\"\n\nMore Information needed"
] |
f71d809b506e299ef9750a8ca5a6b7bfb3cb9a39 | # Dataset Card for "mbpp_short"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | determined-ai/mbpp_short | [
"region:us"
] | 2023-11-02T18:21:49+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"}, {"name": "code", "dtype": "string"}], "splits": [{"name... | 2023-11-02T18:21:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mbpp_short"
More Information needed | [
"# Dataset Card for \"mbpp_short\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mbpp_short\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"mbpp_short\"\n\nMore Information needed"
] |
8130c1065aa9ff1254ad5682d3cb2e349c78b876 |
Here we can find the datasets generated to make a out-of-context classifier (ElektraGo Chat).
There are different version of the dataset:
- High Imbalanced
- Imbalanced
- Balanced (data augmentation and undersampling)
| Fraternitas/out-of-scope | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | 2023-11-02T18:26:51+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"]} | 2023-11-03T00:47:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #region-us
|
Here we can find the datasets generated to make a out-of-context classifier (ElektraGo Chat).
There are different version of the dataset:
- High Imbalanced
- Imbalanced
- Balanced (data augmentation and undersampling)
| [] | [
"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"
] |
59bb84d246dd8c4f82b459477cae4ee985469c2c | # Dataset Card for "identity_finetune_data_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sayan1101/identity_finetune_data_3 | [
"region:us"
] | 2023-11-02T18:35:32+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 262944, "num_examples":... | 2023-11-03T04:16:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "identity_finetune_data_3"
More Information needed | [
"# Dataset Card for \"identity_finetune_data_3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"identity_finetune_data_3\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"identity_finetune_data_3\"\n\nMore Information needed"
] |
0eb711971bed710bea2657da5872d0587c75e084 | # Dataset Card for "DM-vton"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SaffalPoosh/DM-vton-test | [
"region:us"
] | 2023-11-02T18:52:31+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "person_images", "dtype": "image"}, {"name": "cloth_images", "dtype": "image"}, {"name": "cloth_edge_images", "dtype": "image"}], "splits": [{"name": "test", "num_bytes": 6878828.0,... | 2023-11-02T18:56:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DM-vton"
More Information needed | [
"# Dataset Card for \"DM-vton\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"DM-vton\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"DM-vton\"\n\nMore Information needed"
] |
dc8ae8e8b3fb93cae4d1e34745a969bdefe20d38 | # AutoTrain Dataset for project: docid
## Dataset Description
This dataset has been automatically processed by AutoTrain for project docid.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"tex... | bcombs/autotrain-data-docid | [
"task_categories:text-classification",
"region:us"
] | 2023-11-02T18:55:53+00:00 | {"task_categories": ["text-classification"]} | 2023-11-02T19:38:00+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: docid
====================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project docid.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Instan... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-text-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (... | [
17,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-text-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also call... |
d56e34920341c0364559b33d6c6ec8bf9af1cb0b | # Dataset Card for "short_data_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | determined-ai/short_data_test | [
"region:us"
] | 2023-11-02T18:57:14+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "split_1", "path": "data/split_1-*"}, {"split": "split_2", "path": "data/split_2-*"}, {"split": "split_3", "path": "data/split_3-*"}, {"split": "split_4", "path": "data/split_4-*"}, {"split": "split_5", "path": "data/split_5-*"}, {"split": "split_6", "pat... | 2023-11-02T18:57:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "short_data_test"
More Information needed | [
"# Dataset Card for \"short_data_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"short_data_test\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"short_data_test\"\n\nMore Information needed"
] |
fadf0f34669d6f90efd1473605c06cfafa3dbec9 | # Dataset Card for "training_data_hands"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ksukrit/training_data_hands | [
"region:us"
] | 2023-11-02T19:07:14+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": "bad", "1": "good"}}}}], "splits": [{"name": "train", "num_bytes": 4654722697.352, "num_exam... | 2023-11-02T19:16:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "training_data_hands"
More Information needed | [
"# Dataset Card for \"training_data_hands\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"training_data_hands\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"training_data_hands\"\n\nMore Information needed"
] |
c2c0e6bd30b5c944c4b9248b7da3253297cdf122 | # Dataset Card for "DM-vton-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SaffalPoosh/DM-vton-train | [
"region:us"
] | 2023-11-02T19:07:36+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "person_images", "dtype": "image"}, {"name": "person_densepose", "dtype": "image"}, {"name": "person_label", "dtype": "image"}, {"name": "person_pose", "dtype": "image"}, {"name":... | 2023-11-02T19:14:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "DM-vton-train"
More Information needed | [
"# Dataset Card for \"DM-vton-train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"DM-vton-train\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"DM-vton-train\"\n\nMore Information needed"
] |
b3bd0d9c611f29b0d1af18c6710c2c8007cc9ced | # 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).
## D... | Acidmanic/DK-FA-Cosmetics | [
"size_categories:100K<n<1M",
"language:fa",
"license:mit",
"e-commerce",
"Online-Shop",
"Comments",
"region:us"
] | 2023-11-02T19:09:20+00:00 | {"language": ["fa"], "license": "mit", "size_categories": ["100K<n<1M"], "pretty_name": "Dk-Fa-Cosmetics", "tags": ["e-commerce", "Online-Shop", "Comments"]} | 2023-11-03T19:21:25+00:00 | [] | [
"fa"
] | TAGS
#size_categories-100K<n<1M #language-Persian #license-mit #e-commerce #Online-Shop #Comments #region-us
| Dataset Card for Dataset Name
=============================
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
---------------
### Dataset Description
* Curated by: Mani Moayedi
* Language(s) (NLP): Farsi (Persian)
* License: MIT
Uses
... | [
"### Dataset Description\n\n\n* Curated by: Mani Moayedi\n* Language(s) (NLP): Farsi (Persian)\n* License: MIT\n\n\nUses\n----\n\n\nThe samples of this dataset are user comments about products of an online shop website. Each comment contains some\nadditional data alongside the comments body, like star-rating value ... | [
"TAGS\n#size_categories-100K<n<1M #language-Persian #license-mit #e-commerce #Online-Shop #Comments #region-us \n",
"### Dataset Description\n\n\n* Curated by: Mani Moayedi\n* Language(s) (NLP): Farsi (Persian)\n* License: MIT\n\n\nUses\n----\n\n\nThe samples of this dataset are user comments about products of an... | [
38,
103,
228,
157
] | [
"passage: TAGS\n#size_categories-100K<n<1M #language-Persian #license-mit #e-commerce #Online-Shop #Comments #region-us \n### Dataset Description\n\n\n* Curated by: Mani Moayedi\n* Language(s) (NLP): Farsi (Persian)\n* License: MIT\n\n\nUses\n----\n\n\nThe samples of this dataset are user comments about products of... |
7306cdc04caf69910ba0f50369c0f2c2e531c910 | # Dataset Card for "summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia | [
"region:us"
] | 2023-11-02T19:18:32+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2023-11-02T19:19:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia"
More Information needed | [
"# Dataset Card for \"summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia\"\n\nMore Information needed"
] | [
6,
37
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia\"\n\nMore Information needed"
] |
424a8d37f801e4167432204a1b1e9c9ab76c9ad0 | # Dataset Card for "summarize_from_feedback_oai_preprocessing_pythia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_oai_preprocessing_pythia | [
"region:us"
] | 2023-11-02T19:31:02+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2023-11-02T19:31:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_pythia"
More Information needed | [
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_pythia\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_pythia\"\n\nMore Information needed"
] | [
6,
28
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"summarize_from_feedback_oai_preprocessing_pythia\"\n\nMore Information needed"
] |
24e33438c3b9f0f48602443f35b330b8ea999847 |
---
tags:
- gpt-4
- janet
---
# Description
39 Multi-Turn conversations generated by GPT-4.
Each conversation represents a distinct dialogue between two people -
a sniper and a central operator called Janet.
The context of each conversation is the same - the sniper is perched on a rooftop,
on a mission to eliminate... | IconicAI/janet-24oct | [
"task_categories:conversational",
"region:us"
] | 2023-11-02T19:33:22+00:00 | {"task_categories": ["conversational"]} | 2023-11-17T15:21:15+00:00 | [] | [] | TAGS
#task_categories-conversational #region-us
|
---
tags:
- gpt-4
- janet
---
# Description
39 Multi-Turn conversations generated by GPT-4.
Each conversation represents a distinct dialogue between two people -
a sniper and a central operator called Janet.
The context of each conversation is the same - the sniper is perched on a rooftop,
on a mission to eliminate... | [
"# Description\n39 Multi-Turn conversations generated by GPT-4.\nEach conversation represents a distinct dialogue between two people - \na sniper and a central operator called Janet.\n\nThe context of each conversation is the same - the sniper is perched on a rooftop,\non a mission to eliminate a dangerous person t... | [
"TAGS\n#task_categories-conversational #region-us \n",
"# Description\n39 Multi-Turn conversations generated by GPT-4.\nEach conversation represents a distinct dialogue between two people - \na sniper and a central operator called Janet.\n\nThe context of each conversation is the same - the sniper is perched on a... | [
16,
106,
3,
30
] | [
"passage: TAGS\n#task_categories-conversational #region-us \n# Description\n39 Multi-Turn conversations generated by GPT-4.\nEach conversation represents a distinct dialogue between two people - \na sniper and a central operator called Janet.\n\nThe context of each conversation is the same - the sniper is perched o... |
f74678ae56fe95a5298e14afa6690273ea2b923f | # Dataset Card for "audio_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dhanush23/audio_dataset | [
"region:us"
] | 2023-11-02T19:40:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "file_path", "dtype": "string"}, {"name": "emotion", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 312421.43086865044, "... | 2023-11-02T19:48:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "audio_dataset"
More Information needed | [
"# Dataset Card for \"audio_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"audio_dataset\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"audio_dataset\"\n\nMore Information needed"
] |
f8f8b7f0b94642476020587eb2b4f20ceacf01fe | # Dataset Card for "tla_masked_code_eval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aneeshas/tla_masked_code_eval | [
"region:us"
] | 2023-11-02T20:36:39+00:00 | {"dataset_info": {"features": [{"name": "protocol", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 139933, "num_examples": 18}], "download_size": 52239, "dataset_size": 139933}, "configs": [{"config_name": "default", "data_file... | 2023-11-03T01:56:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tla_masked_code_eval"
More Information needed | [
"# Dataset Card for \"tla_masked_code_eval\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tla_masked_code_eval\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tla_masked_code_eval\"\n\nMore Information needed"
] |
142908dc0ec4dd373adfea9b1c52a593deeab7a6 | # Dataset Card for "ios_action"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | anamhira/ios_action | [
"region:us"
] | 2023-11-02T20:50:12+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 482012, "num_examples":... | 2023-11-14T19:14:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ios_action"
More Information needed | [
"# Dataset Card for \"ios_action\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ios_action\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ios_action\"\n\nMore Information needed"
] |
14efcdde20ec0d5b3c61748010914b1dedbaa656 | # Dataset Card for "demodata1102"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Bsbell21/demodata1102 | [
"region:us"
] | 2023-11-02T20:51:18+00:00 | {"dataset_info": {"features": [{"name": "item", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "ad", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1671, "num_examples": 5}], "download_size": 4854, "dataset_size": 1671}, "configs": [{"config_name": "default", "data_files": [{"s... | 2023-11-02T20:51:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "demodata1102"
More Information needed | [
"# Dataset Card for \"demodata1102\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"demodata1102\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"demodata1102\"\n\nMore Information needed"
] |
22fb6882b523a19197e7fa23881d9945de2fa246 |
# Dataset Card for Evaluation run of TheBloke/LongChat-13B-GPTQ
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/TheBloke/LongChat-13B-GPTQ
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### D... | open-llm-leaderboard/details_TheBloke__LongChat-13B-GPTQ | [
"region:us"
] | 2023-11-02T21:34:51+00:00 | {"pretty_name": "Evaluation run of TheBloke/LongChat-13B-GPTQ", "dataset_summary": "Dataset automatically created during the evaluation run of model [TheBloke/LongChat-13B-GPTQ](https://huggingface.co/TheBloke/LongChat-13B-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-11-04T20:06:27+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of TheBloke/LongChat-13B-GPTQ
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model TheBloke/LongChat-13B-GPTQ on the Open LLM Leade... | [
"# Dataset Card for Evaluation run of TheBloke/LongChat-13B-GPTQ",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model TheBloke/LongChat-13B-GPTQ o... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of TheBloke/LongChat-13B-GPTQ",
"## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL",
"### Dataset Summary\n\nDataset automatically created during the evaluation run of model The... | [
6,
22,
31,
171,
67,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
5
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of TheBloke/LongChat-13B-GPTQ## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL### Dataset Summary\n\nDataset automatically created during the evaluation run of model TheBloke/Lon... |
816593c47405818a7fcab394a1b774e6b82cbf8e | # Dataset Card for "spanish-legal-data-lite"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ramitha/spanish-legal-data-lite | [
"region:us"
] | 2023-11-02T22:01:55+00:00 | {"dataset_info": {"features": [{"name": "Data", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 122971, "num_examples": 501}], "download_size": 62737, "dataset_size": 122971}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-03T15:47:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "spanish-legal-data-lite"
More Information needed | [
"# Dataset Card for \"spanish-legal-data-lite\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"spanish-legal-data-lite\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"spanish-legal-data-lite\"\n\nMore Information needed"
] |
e6539c262810e2c703a6601ce984c123845dcc9d | # Dataset Card for "named_math_formulas"
Mathematical dataset based on 71 famous mathematical identities. Each entry consists of a name of the identity (*name*), a representation of that identity (*formula*), a label whether the representation belongs to the identity (*label*), and an id of the mathematical identity (... | ddrg/named_math_formulas | [
"region:us"
] | 2023-11-02T22:35:01+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "formula", "dtype": "string"}, {"name": "formula_name_id", "dtype": "string"}, {"name": "label", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 4435850714, "num_examples": 21336656}, {"name": "test", "num_bytes": 492646856, "num_... | 2023-11-07T16:41:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "named_math_formulas"
Mathematical dataset based on 71 famous mathematical identities. Each entry consists of a name of the identity (*name*), a representation of that identity (*formula*), a label whether the representation belongs to the identity (*label*), and an id of the mathematical identity (... | [
"# Dataset Card for \"named_math_formulas\"\n\nMathematical dataset based on 71 famous mathematical identities. Each entry consists of a name of the identity (*name*), a representation of that identity (*formula*), a label whether the representation belongs to the identity (*label*), and an id of the mathematical i... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"named_math_formulas\"\n\nMathematical dataset based on 71 famous mathematical identities. Each entry consists of a name of the identity (*name*), a representation of that identity (*formula*), a label whether the representation belongs to the identity (*label*), and an... | [
6,
229
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"named_math_formulas\"\n\nMathematical dataset based on 71 famous mathematical identities. Each entry consists of a name of the identity (*name*), a representation of that identity (*formula*), a label whether the representation belongs to the identity (*label*), and... |
005d3de5ba3cbd9fb5a51fb57ded6af4aa8b9993 | # Dataset Card for "math_formula_retrieval"
Mathematical dataset based on 71 famous mathematical identities. Each entry consists of two identities (in formula or textual form), together with a label, whether the two versions describe the same mathematical identity. The false pairs are not randomly chosen, but intentio... | ddrg/math_formula_retrieval | [
"region:us"
] | 2023-11-02T22:41:41+00:00 | {"dataset_info": {"features": [{"name": "formula1", "dtype": "string"}, {"name": "formula2", "dtype": "string"}, {"name": "label", "dtype": "bool"}, {"name": "formula1_name_id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7285320882, "num_examples": 21348512}, {"name": "test", "num_bytes": 809630657,... | 2023-11-15T21:52:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "math_formula_retrieval"
Mathematical dataset based on 71 famous mathematical identities. Each entry consists of two identities (in formula or textual form), together with a label, whether the two versions describe the same mathematical identity. The false pairs are not randomly chosen, but intentio... | [
"# Dataset Card for \"math_formula_retrieval\"\n\nMathematical dataset based on 71 famous mathematical identities. Each entry consists of two identities (in formula or textual form), together with a label, whether the two versions describe the same mathematical identity. The false pairs are not randomly chosen, but... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"math_formula_retrieval\"\n\nMathematical dataset based on 71 famous mathematical identities. Each entry consists of two identities (in formula or textual form), together with a label, whether the two versions describe the same mathematical identity. The false pairs are... | [
6,
149
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"math_formula_retrieval\"\n\nMathematical dataset based on 71 famous mathematical identities. Each entry consists of two identities (in formula or textual form), together with a label, whether the two versions describe the same mathematical identity. The false pairs ... |
a1846f1dea88982b61dbe5eea107fbb2064d486a | The Brahe-Novels dataset is a collection of annotated novel excerpts in the public domain. It was originally created to train Brahe, an LLM fine-tuned for literary analysis.
Most of the texts come from the Gutenberg project.
The annotations include a mix of synthetic data and manual annotations. In accordance with th... | Pclanglais/Brahe-Novels | [
"license:cc0-1.0",
"region:us"
] | 2023-11-02T23:04:43+00:00 | {"license": "cc0-1.0"} | 2023-11-02T23:11:30+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| The Brahe-Novels dataset is a collection of annotated novel excerpts in the public domain. It was originally created to train Brahe, an LLM fine-tuned for literary analysis.
Most of the texts come from the Gutenberg project.
The annotations include a mix of synthetic data and manual annotations. In accordance with th... | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
6ffa55b4280fa592b145bc7c75b35d50e4171d70 | # Dataset Card for "temario_data-wiki_results"
Results of the model arthurmluz/ptt5-wikilingua-30epochs on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.1419043757118125, 'rouge2': 0.046527868660995036, 'rougeL... | arthurmluz/temario_data-wiki_results | [
"region:us"
] | 2023-11-02T23:06:26+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:20:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-wiki_results"
Results of the model arthurmluz/ptt5-wikilingua-30epochs on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.1419043757118125, 'rouge2': 0.046527868660995036, 'rougeL... | [
"# Dataset Card for \"temario_data-wiki_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-30epochs on the dataset godoyj/temario.\n\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.1419043757118125, 'rouge2': 0.04652786866... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-wiki_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-30epochs on the dataset godoyj/temario.\n\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.1419043757118125... | [
6,
192
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-wiki_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-30epochs on the dataset godoyj/temario.\n\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.1419043757118... |
b9d7d86d6e8e876b8f3541516dfb38576c28a8d5 | # Dataset Card for "temario_data-wiki_1024_results"
Results of the model arthurmluz/ptt5-wikilingua-1024 on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.1737841100453722, 'rouge2': 0.05694408293393681, 'rougeL'... | arthurmluz/temario_data-wiki_1024_results | [
"region:us"
] | 2023-11-02T23:11:26+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:20:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-wiki_1024_results"
Results of the model arthurmluz/ptt5-wikilingua-1024 on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.1737841100453722, 'rouge2': 0.05694408293393681, 'rougeL'... | [
"# Dataset Card for \"temario_data-wiki_1024_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-1024 on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.1737841100453722, 'rouge2': 0.056944082933... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-wiki_1024_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-1024 on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.1737841100453722,... | [
6,
196
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-wiki_1024_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-1024 on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.17378411004537... |
3652dccd6c939ad701c07bdbad98182cad06bf4c | Repackaging of HuggingFaceH4/ultrachat_200k | typeof/ultrachat-200k | [
"license:mit",
"region:us"
] | 2023-11-02T23:13:56+00:00 | {"license": "mit"} | 2023-11-02T23:19:00+00:00 | [] | [] | TAGS
#license-mit #region-us
| Repackaging of HuggingFaceH4/ultrachat_200k | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
bbb0e7ae0e433df3b1c7638e776c7af17248d2eb |
This is the ElektraGo FAQs dataset but after applying data augmentation.
This repo has 3 versions of the dataset:
**1. Raw Dataset with data Augmentation**
- ElektraGo_FAQs_Augmented.csv
- ElektraGo_FAQs-Augmented-en.json
**2. Dataset in Llama2 prompt format**
- ElektraGo_FAQs-Text-en.json
- Elektra... | Fraternitas/ElektraGoFAQs-aug-text-en | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"region:us"
] | 2023-11-02T23:15:05+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["question-answering"]} | 2023-11-02T23:44:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-English #region-us
|
This is the ElektraGo FAQs dataset but after applying data augmentation.
This repo has 3 versions of the dataset:
1. Raw Dataset with data Augmentation
- ElektraGo_FAQs_Augmented.csv
- ElektraGo_FAQs-URL
2. Dataset in Llama2 prompt format
- ElektraGo_FAQs-URL
- ElektraGo_FAQs_Text.csv
3. Dataset i... | [] | [
"TAGS\n#task_categories-question-answering #size_categories-n<1K #language-English #region-us \n"
] | [
32
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-n<1K #language-English #region-us \n"
] |
a72442fdf871629c8396694ea5362434a08f5728 | # Dataset Card for "contracts_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | paul-w-qs/contracts_v2 | [
"region:us"
] | 2023-11-02T23:16:10+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "N_ROWS", "dtype": "int64"}, {"name": "N_COLS", "dtype": "int64"}, {"name": "FONT_SIZE", "dtype": "int64"}, {"name": "FONT_NAME", "dtype": "st... | 2023-11-02T23:23:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "contracts_v2"
More Information needed | [
"# Dataset Card for \"contracts_v2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"contracts_v2\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"contracts_v2\"\n\nMore Information needed"
] |
0cb4cb943d55a6a39938f603639c64e4b9597fe4 | # Dataset Card for "temario_data-wiki_temario_results"
Results of the model arthurmluz/ptt5-wikilingua-temario on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.49074908228642644, 'rouge2': 0.20170619333420284, '... | arthurmluz/temario_data-wiki_temario_results | [
"region:us"
] | 2023-11-02T23:17:21+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:24:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-wiki_temario_results"
Results of the model arthurmluz/ptt5-wikilingua-temario on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.49074908228642644, 'rouge2': 0.20170619333420284, '... | [
"# Dataset Card for \"temario_data-wiki_temario_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-temario on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.49074908228642644, 'rouge2': 0.20170... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-wiki_temario_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-temario on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.49074908228... | [
6,
199
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-wiki_temario_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-temario on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.49074908... |
6ac371460f1385397b17cd123a59f575a718d3f6 | # Dataset Card for "temario_data-temario_results"
Results of the model arthurmluz/ptt5-temario on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.43610795130617214, 'rouge2': 0.1909123032482415, 'rougeL': 0.27122... | arthurmluz/temario_data-temario_results | [
"region:us"
] | 2023-11-02T23:28:54+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:18:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-temario_results"
Results of the model arthurmluz/ptt5-temario on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.43610795130617214, 'rouge2': 0.1909123032482415, 'rougeL': 0.27122... | [
"# Dataset Card for \"temario_data-temario_results\"\n\n\nResults of the model arthurmluz/ptt5-temario on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.43610795130617214, 'rouge2': 0.1909123032482415, '... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-temario_results\"\n\n\nResults of the model arthurmluz/ptt5-temario on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.43610795130617214, 'rouge... | [
6,
196
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-temario_results\"\n\n\nResults of the model arthurmluz/ptt5-temario on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.43610795130617214, 'ro... |
7166a8b8efc96a3919dd13ff45bc5ee0f96840bf | # Dataset Card for "temario_data-xlsumm_results"
Results of the model arthurmluz/ptt5-xlsumm-30epochs on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.13240213183008717, 'rouge2': 0.043402591111519936, 'rougeL':... | arthurmluz/temario_data-xlsum_results | [
"region:us"
] | 2023-11-02T23:32:20+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:28:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-xlsumm_results"
Results of the model arthurmluz/ptt5-xlsumm-30epochs on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.13240213183008717, 'rouge2': 0.043402591111519936, 'rougeL':... | [
"# Dataset Card for \"temario_data-xlsumm_results\"\n\nResults of the model arthurmluz/ptt5-xlsumm-30epochs on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.13240213183008717, 'rouge2': 0.04340259111151... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-xlsumm_results\"\n\nResults of the model arthurmluz/ptt5-xlsumm-30epochs on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.13240213183008717, '... | [
6,
199
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-xlsumm_results\"\n\nResults of the model arthurmluz/ptt5-xlsumm-30epochs on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.13240213183008717... |
56b1133845f543dc485cfe68bfde969e00e8671c | # Dataset Card for "temario_data-xlsumm_cstnews_results"
Results of the model arthurmluz/ptt5-xlsumm-cstnews on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.3989839955543582, 'rouge2': 0.1474448806452692, 'roug... | arthurmluz/temario_data-xlsum_cstnews_results | [
"region:us"
] | 2023-11-02T23:52:13+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:29:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-xlsumm_cstnews_results"
Results of the model arthurmluz/ptt5-xlsumm-cstnews on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.3989839955543582, 'rouge2': 0.1474448806452692, 'roug... | [
"# Dataset Card for \"temario_data-xlsumm_cstnews_results\"\n\nResults of the model arthurmluz/ptt5-xlsumm-cstnews on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.3989839955543582, 'rouge2': 0.14744488... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-xlsumm_cstnews_results\"\n\nResults of the model arthurmluz/ptt5-xlsumm-cstnews on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.3989839955543... | [
6,
202
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-xlsumm_cstnews_results\"\n\nResults of the model arthurmluz/ptt5-xlsumm-cstnews on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.3989839955... |
ee973c635aa7110fe9cb8a5622fa20a0dd70dbf7 | # Dataset Card for "temario_data-wikilingua_cstnews_results"
Results of the model arthurmluz/ptt5-wikilingua-cstnews on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.3800757744192324, 'rouge2': 0.153900165449106... | arthurmluz/temario_data-wiki_cstnews_results | [
"region:us"
] | 2023-11-02T23:55:12+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:21:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-wikilingua_cstnews_results"
Results of the model arthurmluz/ptt5-wikilingua-cstnews on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.3800757744192324, 'rouge2': 0.153900165449106... | [
"# Dataset Card for \"temario_data-wikilingua_cstnews_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-cstnews on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.3800757744192324, 'rouge2': 0.... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-wikilingua_cstnews_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-cstnews on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.38007... | [
6,
199
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-wikilingua_cstnews_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-cstnews on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.38... |
382b71e4d4908115bad2a6fca71f40fc9b89d9f5 | # Dataset Card for "temario_data-wikilingua_cstnews_1024_results"
Results of the model arthurmluz/ptt5-wikilingua-cstnews-1024 on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.4019708009539416, 'rouge2': 0.14988... | arthurmluz/temario_data-wiki_cstnews_1024_results | [
"region:us"
] | 2023-11-03T00:00:31+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:23:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-wikilingua_cstnews_1024_results"
Results of the model arthurmluz/ptt5-wikilingua-cstnews-1024 on the dataset godoyj/temario.
'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.
mean metrics:
rouge= {'rouge1': 0.4019708009539416, 'rouge2': 0.14988... | [
"# Dataset Card for \"temario_data-wikilingua_cstnews_1024_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-cstnews-1024 on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1': 0.4019708009539416, 'r... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-wikilingua_cstnews_1024_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-cstnews-1024 on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rouge1... | [
6,
206
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-wikilingua_cstnews_1024_results\"\n\nResults of the model arthurmluz/ptt5-wikilingua-cstnews-1024 on the dataset godoyj/temario.\n\n'gen_summary' is the generated summary, and both bertScore and Rouge metrics calculated.\n\nmean metrics:\n\nrouge= {'rou... |
a1fdbcf5a8340213d0f6a76e04f6486c38751564 | # Dataset Card for "temario_data-xlsumm_cstnews_1024_results"
rouge= {'rouge1': 0.3842309401085634, 'rouge2': 0.15048098740220198, 'rougeL': 0.2290304095965295, 'rougeLsum': 0.2290304095965295}
bert= {'precision': 0.7249824571609497, 'recall': 0.6954835605621338, 'f1': 0.7095399975776673}
mover = 0.6115396799603942 | arthurmluz/temario_data-xlsum_cstnews_1024_results | [
"region:us"
] | 2023-11-03T00:06:28+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:32:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "temario_data-xlsumm_cstnews_1024_results"
rouge= {'rouge1': 0.3842309401085634, 'rouge2': 0.15048098740220198, 'rougeL': 0.2290304095965295, 'rougeLsum': 0.2290304095965295}
bert= {'precision': 0.7249824571609497, 'recall': 0.6954835605621338, 'f1': 0.7095399975776673}
mover = 0.6115396799603942 | [
"# Dataset Card for \"temario_data-xlsumm_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.3842309401085634, 'rouge2': 0.15048098740220198, 'rougeL': 0.2290304095965295, 'rougeLsum': 0.2290304095965295}\n\nbert= {'precision': 0.7249824571609497, 'recall': 0.6954835605621338, 'f1': 0.7095399975776673}\n\nmover = 0.6115... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"temario_data-xlsumm_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.3842309401085634, 'rouge2': 0.15048098740220198, 'rougeL': 0.2290304095965295, 'rougeLsum': 0.2290304095965295}\n\nbert= {'precision': 0.7249824571609497, 'recall': 0.6954835605621338, 'f1': 0.7095399975... | [
6,
143
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"temario_data-xlsumm_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.3842309401085634, 'rouge2': 0.15048098740220198, 'rougeL': 0.2290304095965295, 'rougeLsum': 0.2290304095965295}\n\nbert= {'precision': 0.7249824571609497, 'recall': 0.6954835605621338, 'f1': 0.7095399... |
7238681833c5347ab9b0e07d873da2c00d5245fa | # Dataset Card for "GPTextSum_data-wiki_results"
rouge= {'rouge1': 0.22777331974906403, 'rouge2': 0.08345419898242161, 'rougeL': 0.17833325012462153, 'rougeLsum': 0.17833325012462153}
bert= {'precision': 0.7432332336902618, 'recall': 0.6663061320781708, 'f1': 0.7022046685218811} | arthurmluz/GPTextSum_data-wiki_results | [
"region:us"
] | 2023-11-03T00:41:06+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:01:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-wiki_results"
rouge= {'rouge1': 0.22777331974906403, 'rouge2': 0.08345419898242161, 'rougeL': 0.17833325012462153, 'rougeLsum': 0.17833325012462153}
bert= {'precision': 0.7432332336902618, 'recall': 0.6663061320781708, 'f1': 0.7022046685218811} | [
"# Dataset Card for \"GPTextSum_data-wiki_results\"\n\nrouge= {'rouge1': 0.22777331974906403, 'rouge2': 0.08345419898242161, 'rougeL': 0.17833325012462153, 'rougeLsum': 0.17833325012462153}\n\nbert= {'precision': 0.7432332336902618, 'recall': 0.6663061320781708, 'f1': 0.7022046685218811}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-wiki_results\"\n\nrouge= {'rouge1': 0.22777331974906403, 'rouge2': 0.08345419898242161, 'rougeL': 0.17833325012462153, 'rougeLsum': 0.17833325012462153}\n\nbert= {'precision': 0.7432332336902618, 'recall': 0.6663061320781708, 'f1': 0.7022046685218811}"
] | [
6,
127
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-wiki_results\"\n\nrouge= {'rouge1': 0.22777331974906403, 'rouge2': 0.08345419898242161, 'rougeL': 0.17833325012462153, 'rougeLsum': 0.17833325012462153}\n\nbert= {'precision': 0.7432332336902618, 'recall': 0.6663061320781708, 'f1': 0.7022046685218811}... |
df7871c71856260e79018fec851a798d292cf3f6 | # Dataset Card for "GPTextSum_data-wiki_1024_results"
rouge= {'rouge1': 0.20436494957206813, 'rouge2': 0.06669792477248418, 'rougeL': 0.1645584797463879, 'rougeLsum': 0.1645584797463879}
bert= {'precision': 0.7313757807016372, 'recall': 0.6589481264352799, 'f1': 0.6928485721349716} | arthurmluz/GPTextSum_data-wiki_1024_results | [
"region:us"
] | 2023-11-03T00:42:10+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:01:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-wiki_1024_results"
rouge= {'rouge1': 0.20436494957206813, 'rouge2': 0.06669792477248418, 'rougeL': 0.1645584797463879, 'rougeLsum': 0.1645584797463879}
bert= {'precision': 0.7313757807016372, 'recall': 0.6589481264352799, 'f1': 0.6928485721349716} | [
"# Dataset Card for \"GPTextSum_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.20436494957206813, 'rouge2': 0.06669792477248418, 'rougeL': 0.1645584797463879, 'rougeLsum': 0.1645584797463879}\n\nbert= {'precision': 0.7313757807016372, 'recall': 0.6589481264352799, 'f1': 0.6928485721349716}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.20436494957206813, 'rouge2': 0.06669792477248418, 'rougeL': 0.1645584797463879, 'rougeLsum': 0.1645584797463879}\n\nbert= {'precision': 0.7313757807016372, 'recall': 0.6589481264352799, 'f1': 0.6928485721349716}... | [
6,
129
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.20436494957206813, 'rouge2': 0.06669792477248418, 'rougeL': 0.1645584797463879, 'rougeLsum': 0.1645584797463879}\n\nbert= {'precision': 0.7313757807016372, 'recall': 0.6589481264352799, 'f1': 0.69284857213497... |
25fadeb131c0a231c446fe536c59fefc34b9d7a7 | # Dataset Card for "GPTextSum_data-wiki_cstnews_results"
rouge= {'rouge1': 0.448765925729676, 'rouge2': 0.22185620300242942, 'rougeL': 0.334266564181735, 'rougeLsum': 0.334266564181735}
bert= {'precision': 0.7489787250757217, 'recall': 0.7784000992774963, 'f1': 0.7628451943397522} | arthurmluz/GPTextSum_data-wiki_cstnews_results | [
"region:us"
] | 2023-11-03T00:43:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:05:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-wiki_cstnews_results"
rouge= {'rouge1': 0.448765925729676, 'rouge2': 0.22185620300242942, 'rougeL': 0.334266564181735, 'rougeLsum': 0.334266564181735}
bert= {'precision': 0.7489787250757217, 'recall': 0.7784000992774963, 'f1': 0.7628451943397522} | [
"# Dataset Card for \"GPTextSum_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.448765925729676, 'rouge2': 0.22185620300242942, 'rougeL': 0.334266564181735, 'rougeLsum': 0.334266564181735}\n\nbert= {'precision': 0.7489787250757217, 'recall': 0.7784000992774963, 'f1': 0.7628451943397522}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.448765925729676, 'rouge2': 0.22185620300242942, 'rougeL': 0.334266564181735, 'rougeLsum': 0.334266564181735}\n\nbert= {'precision': 0.7489787250757217, 'recall': 0.7784000992774963, 'f1': 0.7628451943397522}"... | [
6,
131
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.448765925729676, 'rouge2': 0.22185620300242942, 'rougeL': 0.334266564181735, 'rougeLsum': 0.334266564181735}\n\nbert= {'precision': 0.7489787250757217, 'recall': 0.7784000992774963, 'f1': 0.762845194339752... |
1b2cd9cf66c918980bc7020ffe414c6a3c3b7187 | # Dataset Card for "GPTextSum_data-wiki_cstnews_1024_results"
rouge= {'rouge1': 0.4308100446730652, 'rouge2': 0.21805946047970845, 'rougeL': 0.32857244937346486, 'rougeLsum': 0.32857244937346486}
bert= {'precision': 0.7545565485954284, 'recall': 0.7717844933271408, 'f1': 0.762201464176178} | arthurmluz/GPTextSum_data-wiki_cstnews_1024_results | [
"region:us"
] | 2023-11-03T00:45:45+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:05:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-wiki_cstnews_1024_results"
rouge= {'rouge1': 0.4308100446730652, 'rouge2': 0.21805946047970845, 'rougeL': 0.32857244937346486, 'rougeLsum': 0.32857244937346486}
bert= {'precision': 0.7545565485954284, 'recall': 0.7717844933271408, 'f1': 0.762201464176178} | [
"# Dataset Card for \"GPTextSum_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.4308100446730652, 'rouge2': 0.21805946047970845, 'rougeL': 0.32857244937346486, 'rougeLsum': 0.32857244937346486}\n\nbert= {'precision': 0.7545565485954284, 'recall': 0.7717844933271408, 'f1': 0.762201464176178}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.4308100446730652, 'rouge2': 0.21805946047970845, 'rougeL': 0.32857244937346486, 'rougeLsum': 0.32857244937346486}\n\nbert= {'precision': 0.7545565485954284, 'recall': 0.7717844933271408, 'f1': 0.76220146... | [
6,
134
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.4308100446730652, 'rouge2': 0.21805946047970845, 'rougeL': 0.32857244937346486, 'rougeLsum': 0.32857244937346486}\n\nbert= {'precision': 0.7545565485954284, 'recall': 0.7717844933271408, 'f1': 0.76220... |
26677d074e856901394c9f06cbc265d0b3345976 | # Dataset Card for "GPTextSum_data-wiki_temario_results"
rouge= {'rouge1': 0.4138915416727407, 'rouge2': 0.21239574315097523, 'rougeL': 0.32579088959468294, 'rougeLsum': 0.32579088959468294}
bert= {'precision': 0.7588523745536804, 'recall': 0.7835794538259506, 'f1': 0.769540649652481} | arthurmluz/GPTextSum_data-wiki_temario_results | [
"region:us"
] | 2023-11-03T00:46:53+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:05:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-wiki_temario_results"
rouge= {'rouge1': 0.4138915416727407, 'rouge2': 0.21239574315097523, 'rougeL': 0.32579088959468294, 'rougeLsum': 0.32579088959468294}
bert= {'precision': 0.7588523745536804, 'recall': 0.7835794538259506, 'f1': 0.769540649652481} | [
"# Dataset Card for \"GPTextSum_data-wiki_temario_results\"\n\nrouge= {'rouge1': 0.4138915416727407, 'rouge2': 0.21239574315097523, 'rougeL': 0.32579088959468294, 'rougeLsum': 0.32579088959468294}\n\nbert= {'precision': 0.7588523745536804, 'recall': 0.7835794538259506, 'f1': 0.769540649652481}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-wiki_temario_results\"\n\nrouge= {'rouge1': 0.4138915416727407, 'rouge2': 0.21239574315097523, 'rougeL': 0.32579088959468294, 'rougeLsum': 0.32579088959468294}\n\nbert= {'precision': 0.7588523745536804, 'recall': 0.7835794538259506, 'f1': 0.7695406496524... | [
6,
131
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-wiki_temario_results\"\n\nrouge= {'rouge1': 0.4138915416727407, 'rouge2': 0.21239574315097523, 'rougeL': 0.32579088959468294, 'rougeLsum': 0.32579088959468294}\n\nbert= {'precision': 0.7588523745536804, 'recall': 0.7835794538259506, 'f1': 0.7695406496... |
f7573559f16f40c4346493f625355c306984c94a | # Dataset Card for "GPTextSum_data-temario_results"
rouge= {'rouge1': 0.3521895422836724, 'rouge2': 0.18278167550878366, 'rougeL': 0.27857021634712387, 'rougeLsum': 0.27857021634712387}
bert= {'precision': 0.700176528096199, 'recall': 0.8076501220464707, 'f1': 0.7497184872627258} | arthurmluz/GPTextSum_data-temario_results | [
"region:us"
] | 2023-11-03T00:48:11+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:01:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-temario_results"
rouge= {'rouge1': 0.3521895422836724, 'rouge2': 0.18278167550878366, 'rougeL': 0.27857021634712387, 'rougeLsum': 0.27857021634712387}
bert= {'precision': 0.700176528096199, 'recall': 0.8076501220464707, 'f1': 0.7497184872627258} | [
"# Dataset Card for \"GPTextSum_data-temario_results\"\n\nrouge= {'rouge1': 0.3521895422836724, 'rouge2': 0.18278167550878366, 'rougeL': 0.27857021634712387, 'rougeLsum': 0.27857021634712387}\n\nbert= {'precision': 0.700176528096199, 'recall': 0.8076501220464707, 'f1': 0.7497184872627258}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-temario_results\"\n\nrouge= {'rouge1': 0.3521895422836724, 'rouge2': 0.18278167550878366, 'rougeL': 0.27857021634712387, 'rougeLsum': 0.27857021634712387}\n\nbert= {'precision': 0.700176528096199, 'recall': 0.8076501220464707, 'f1': 0.7497184872627258}"
... | [
6,
127
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-temario_results\"\n\nrouge= {'rouge1': 0.3521895422836724, 'rouge2': 0.18278167550878366, 'rougeL': 0.27857021634712387, 'rougeLsum': 0.27857021634712387}\n\nbert= {'precision': 0.700176528096199, 'recall': 0.8076501220464707, 'f1': 0.7497184872627258... |
80c0e8fea601e05e3956b6d7643cb2f598751eec | # Dataset Card for "GPTextSum_data-xlsumm_results"
rouge= {'rouge1': 0.3029093047862411, 'rouge2': 0.0986410948279747, 'rougeL': 0.20919963393917018, 'rougeLsum': 0.20919963393917018}
bert= {'precision': 0.7287724256515503, 'recall': 0.6897789388895035, 'f1': 0.7082490384578705} | arthurmluz/GPTextSum_data-xlsum_results | [
"region:us"
] | 2023-11-03T00:49:12+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:10:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-xlsumm_results"
rouge= {'rouge1': 0.3029093047862411, 'rouge2': 0.0986410948279747, 'rougeL': 0.20919963393917018, 'rougeLsum': 0.20919963393917018}
bert= {'precision': 0.7287724256515503, 'recall': 0.6897789388895035, 'f1': 0.7082490384578705} | [
"# Dataset Card for \"GPTextSum_data-xlsumm_results\"\n\nrouge= {'rouge1': 0.3029093047862411, 'rouge2': 0.0986410948279747, 'rougeL': 0.20919963393917018, 'rougeLsum': 0.20919963393917018}\n\nbert= {'precision': 0.7287724256515503, 'recall': 0.6897789388895035, 'f1': 0.7082490384578705}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-xlsumm_results\"\n\nrouge= {'rouge1': 0.3029093047862411, 'rouge2': 0.0986410948279747, 'rougeL': 0.20919963393917018, 'rougeLsum': 0.20919963393917018}\n\nbert= {'precision': 0.7287724256515503, 'recall': 0.6897789388895035, 'f1': 0.7082490384578705}"
] | [
6,
129
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-xlsumm_results\"\n\nrouge= {'rouge1': 0.3029093047862411, 'rouge2': 0.0986410948279747, 'rougeL': 0.20919963393917018, 'rougeLsum': 0.20919963393917018}\n\nbert= {'precision': 0.7287724256515503, 'recall': 0.6897789388895035, 'f1': 0.7082490384578705}... |
64c9014fb28b07c4ab209438442b610a54e962b5 | # Dataset Card for "GPTextSum_data-xlsumm_cstnews_1024_results"
rouge= {'rouge1': 0.42328596861870976, 'rouge2': 0.20509969476992213, 'rougeL': 0.32990453663237673, 'rougeLsum': 0.32990453663237673}
bert= {'precision': 0.7561025887727737, 'recall': 0.7690637379884719, 'f1': 0.7619699746370315} | arthurmluz/GPTextSum_data-xlsum_cstnews_1024_results | [
"region:us"
] | 2023-11-03T00:50:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:10:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-xlsumm_cstnews_1024_results"
rouge= {'rouge1': 0.42328596861870976, 'rouge2': 0.20509969476992213, 'rougeL': 0.32990453663237673, 'rougeLsum': 0.32990453663237673}
bert= {'precision': 0.7561025887727737, 'recall': 0.7690637379884719, 'f1': 0.7619699746370315} | [
"# Dataset Card for \"GPTextSum_data-xlsumm_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.42328596861870976, 'rouge2': 0.20509969476992213, 'rougeL': 0.32990453663237673, 'rougeLsum': 0.32990453663237673}\n\nbert= {'precision': 0.7561025887727737, 'recall': 0.7690637379884719, 'f1': 0.7619699746370315}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-xlsumm_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.42328596861870976, 'rouge2': 0.20509969476992213, 'rougeL': 0.32990453663237673, 'rougeLsum': 0.32990453663237673}\n\nbert= {'precision': 0.7561025887727737, 'recall': 0.7690637379884719, 'f1': 0.76196... | [
6,
139
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-xlsumm_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.42328596861870976, 'rouge2': 0.20509969476992213, 'rougeL': 0.32990453663237673, 'rougeLsum': 0.32990453663237673}\n\nbert= {'precision': 0.7561025887727737, 'recall': 0.7690637379884719, 'f1': 0.76... |
9ec16f35f4f699caabf2a1b05cf6134784917f02 | # Dataset Card for "GPTextSum_data-xlsumm_cstnews_results"
rouge= {'rouge1': 0.4382657703207724, 'rouge2': 0.21548980809200038, 'rougeL': 0.3415963857072833, 'rougeLsum': 0.3415963857072833}
bert= {'precision': 0.75693099796772, 'recall': 0.7692080974578858, 'f1': 0.7624350398778915} | arthurmluz/GPTextSum_data-xlsum_cstnews_results | [
"region:us"
] | 2023-11-03T00:51:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtype... | 2023-11-15T04:10:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GPTextSum_data-xlsumm_cstnews_results"
rouge= {'rouge1': 0.4382657703207724, 'rouge2': 0.21548980809200038, 'rougeL': 0.3415963857072833, 'rougeLsum': 0.3415963857072833}
bert= {'precision': 0.75693099796772, 'recall': 0.7692080974578858, 'f1': 0.7624350398778915} | [
"# Dataset Card for \"GPTextSum_data-xlsumm_cstnews_results\"\n\nrouge= {'rouge1': 0.4382657703207724, 'rouge2': 0.21548980809200038, 'rougeL': 0.3415963857072833, 'rougeLsum': 0.3415963857072833}\n\nbert= {'precision': 0.75693099796772, 'recall': 0.7692080974578858, 'f1': 0.7624350398778915}"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"GPTextSum_data-xlsumm_cstnews_results\"\n\nrouge= {'rouge1': 0.4382657703207724, 'rouge2': 0.21548980809200038, 'rougeL': 0.3415963857072833, 'rougeLsum': 0.3415963857072833}\n\nbert= {'precision': 0.75693099796772, 'recall': 0.7692080974578858, 'f1': 0.762435039877891... | [
6,
133
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"GPTextSum_data-xlsumm_cstnews_results\"\n\nrouge= {'rouge1': 0.4382657703207724, 'rouge2': 0.21548980809200038, 'rougeL': 0.3415963857072833, 'rougeLsum': 0.3415963857072833}\n\nbert= {'precision': 0.75693099796772, 'recall': 0.7692080974578858, 'f1': 0.762435039877... |
305f7e046f32e52a2b9867df481607541d091a2a | # Dataset Card for "cstnews_data-wiki_results"
rouge= {'rouge1': 0.2655324963122997, 'rouge2': 0.11389233951370548, 'rougeL': 0.18758958356070038, 'rougeLsum': 0.18758958356070038}
bert= {'precision': 0.7567696012556553, 'recall': 0.6739303469657898, 'f1': 0.7126890532672405}
mover = 0.5746077032702939 | arthurmluz/cstnews_data-wiki_results | [
"region:us"
] | 2023-11-03T00:53:35+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:59:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-wiki_results"
rouge= {'rouge1': 0.2655324963122997, 'rouge2': 0.11389233951370548, 'rougeL': 0.18758958356070038, 'rougeLsum': 0.18758958356070038}
bert= {'precision': 0.7567696012556553, 'recall': 0.6739303469657898, 'f1': 0.7126890532672405}
mover = 0.5746077032702939 | [
"# Dataset Card for \"cstnews_data-wiki_results\"\n\nrouge= {'rouge1': 0.2655324963122997, 'rouge2': 0.11389233951370548, 'rougeL': 0.18758958356070038, 'rougeLsum': 0.18758958356070038}\n\nbert= {'precision': 0.7567696012556553, 'recall': 0.6739303469657898, 'f1': 0.7126890532672405}\n\nmover = 0.5746077032702939"... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-wiki_results\"\n\nrouge= {'rouge1': 0.2655324963122997, 'rouge2': 0.11389233951370548, 'rougeL': 0.18758958356070038, 'rougeLsum': 0.18758958356070038}\n\nbert= {'precision': 0.7567696012556553, 'recall': 0.6739303469657898, 'f1': 0.7126890532672405}\n\nmo... | [
6,
139
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-wiki_results\"\n\nrouge= {'rouge1': 0.2655324963122997, 'rouge2': 0.11389233951370548, 'rougeL': 0.18758958356070038, 'rougeLsum': 0.18758958356070038}\n\nbert= {'precision': 0.7567696012556553, 'recall': 0.6739303469657898, 'f1': 0.7126890532672405}\n\... |
2c5ebe5a16643d623e172f4e6439d54f878074c4 | # Dataset Card for "cstnews_data-wiki_1024_results"
rouge= {'rouge1': 0.2556160962870545, 'rouge2': 0.10105330295297661, 'rougeL': 0.18616276144956143, 'rougeLsum': 0.18616276144956143}
bert= {'precision': 0.7447284124791622, 'recall': 0.6668070293962955, 'f1': 0.7032350450754166}
mover = 0.5737413741663241 | arthurmluz/cstnews_data-wiki_1024_results | [
"region:us"
] | 2023-11-03T00:55:11+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:59:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-wiki_1024_results"
rouge= {'rouge1': 0.2556160962870545, 'rouge2': 0.10105330295297661, 'rougeL': 0.18616276144956143, 'rougeLsum': 0.18616276144956143}
bert= {'precision': 0.7447284124791622, 'recall': 0.6668070293962955, 'f1': 0.7032350450754166}
mover = 0.5737413741663241 | [
"# Dataset Card for \"cstnews_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.2556160962870545, 'rouge2': 0.10105330295297661, 'rougeL': 0.18616276144956143, 'rougeLsum': 0.18616276144956143}\n\nbert= {'precision': 0.7447284124791622, 'recall': 0.6668070293962955, 'f1': 0.7032350450754166}\n\nmover = 0.573741374166... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.2556160962870545, 'rouge2': 0.10105330295297661, 'rougeL': 0.18616276144956143, 'rougeLsum': 0.18616276144956143}\n\nbert= {'precision': 0.7447284124791622, 'recall': 0.6668070293962955, 'f1': 0.7032350450754166}\... | [
6,
140
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-wiki_1024_results\"\n\nrouge= {'rouge1': 0.2556160962870545, 'rouge2': 0.10105330295297661, 'rougeL': 0.18616276144956143, 'rougeLsum': 0.18616276144956143}\n\nbert= {'precision': 0.7447284124791622, 'recall': 0.6668070293962955, 'f1': 0.703235045075416... |
68ae89273eaf7aa5d75d11fb124123346ade26e5 | # Dataset Card for "cstnews_data-wiki_cstnews_results"
rouge= {'rouge1': 0.6051775604734266, 'rouge2': 0.40902323115473077, 'rougeL': 0.46508195128423335, 'rougeLsum': 0.46508195128423335}
bert= {'precision': 0.8185752630233765, 'recall': 0.8162486664950848, 'f1': 0.8168921731412411}
mover = 0.6600971841852161 | arthurmluz/cstnews_data-wiki_cstnews_results | [
"region:us"
] | 2023-11-03T00:56:34+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:47:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-wiki_cstnews_results"
rouge= {'rouge1': 0.6051775604734266, 'rouge2': 0.40902323115473077, 'rougeL': 0.46508195128423335, 'rougeLsum': 0.46508195128423335}
bert= {'precision': 0.8185752630233765, 'recall': 0.8162486664950848, 'f1': 0.8168921731412411}
mover = 0.6600971841852161 | [
"# Dataset Card for \"cstnews_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.6051775604734266, 'rouge2': 0.40902323115473077, 'rougeL': 0.46508195128423335, 'rougeLsum': 0.46508195128423335}\n\nbert= {'precision': 0.8185752630233765, 'recall': 0.8162486664950848, 'f1': 0.8168921731412411}\n\nmover = 0.660097184... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.6051775604734266, 'rouge2': 0.40902323115473077, 'rougeL': 0.46508195128423335, 'rougeLsum': 0.46508195128423335}\n\nbert= {'precision': 0.8185752630233765, 'recall': 0.8162486664950848, 'f1': 0.816892173141241... | [
6,
146
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-wiki_cstnews_results\"\n\nrouge= {'rouge1': 0.6051775604734266, 'rouge2': 0.40902323115473077, 'rougeL': 0.46508195128423335, 'rougeLsum': 0.46508195128423335}\n\nbert= {'precision': 0.8185752630233765, 'recall': 0.8162486664950848, 'f1': 0.816892173141... |
1310933b827eb4d4da448af8c7d75846f54fea8d | # Dataset Card for "cstnews_data-wiki_cstnews_1024_results"
rouge= {'rouge1': 0.6132183984247445, 'rouge2': 0.41647613950003065, 'rougeL': 0.4765044905867061, 'rougeLsum': 0.4765044905867061}
bert= {'precision': 0.8172679543495178, 'recall': 0.816291406750679, 'f1': 0.8162719868123531}
mover = 0.6605804820730224 | arthurmluz/cstnews_data-wiki_cstnews_1024_results | [
"region:us"
] | 2023-11-03T01:00:13+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:48:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-wiki_cstnews_1024_results"
rouge= {'rouge1': 0.6132183984247445, 'rouge2': 0.41647613950003065, 'rougeL': 0.4765044905867061, 'rougeLsum': 0.4765044905867061}
bert= {'precision': 0.8172679543495178, 'recall': 0.816291406750679, 'f1': 0.8162719868123531}
mover = 0.6605804820730224 | [
"# Dataset Card for \"cstnews_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.6132183984247445, 'rouge2': 0.41647613950003065, 'rougeL': 0.4765044905867061, 'rougeLsum': 0.4765044905867061}\n\nbert= {'precision': 0.8172679543495178, 'recall': 0.816291406750679, 'f1': 0.8162719868123531}\n\nmover = 0.6605804... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.6132183984247445, 'rouge2': 0.41647613950003065, 'rougeL': 0.4765044905867061, 'rougeLsum': 0.4765044905867061}\n\nbert= {'precision': 0.8172679543495178, 'recall': 0.816291406750679, 'f1': 0.8162719868123... | [
6,
145
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-wiki_cstnews_1024_results\"\n\nrouge= {'rouge1': 0.6132183984247445, 'rouge2': 0.41647613950003065, 'rougeL': 0.4765044905867061, 'rougeLsum': 0.4765044905867061}\n\nbert= {'precision': 0.8172679543495178, 'recall': 0.816291406750679, 'f1': 0.8162719868... |
267e519d3a0e977d2ae85729660111336e4f70e8 |
# Dataset Card for race
## Licensing Information
http://www.cs.cmu.edu/~glai1/data/race/
1. RACE dataset is available for non-commercial research purpose only.
2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning ... | KETI-AIR/kor_race | [
"task_categories:multiple-choice",
"task_ids:multiple-choice-qa",
"size_categories:1K<n<10K",
"language:ko",
"license:other",
"region:us"
] | 2023-11-03T01:02:06+00:00 | {"language": ["ko"], "license": "other", "size_categories": ["1K<n<10K"], "task_categories": ["multiple-choice"], "task_ids": ["multiple-choice-qa"], "pretty_name": "race", "license_name": "race", "license_link": "https://www.cs.cmu.edu/~glai1/data/race/", "dataset_info": {"features": [{"name": "data_index_by_user", "d... | 2023-11-15T01:13:23+00:00 | [] | [
"ko"
] | TAGS
#task_categories-multiple-choice #task_ids-multiple-choice-qa #size_categories-1K<n<10K #language-Korean #license-other #region-us
|
# Dataset Card for race
## Licensing Information
URL
1. RACE dataset is available for non-commercial research purpose only.
2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.
3. You agree not... | [
"# Dataset Card for race",
"## Licensing Information\n\nURL\n\n1. RACE dataset is available for non-commercial research purpose only.\n\n2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.\n\n... | [
"TAGS\n#task_categories-multiple-choice #task_ids-multiple-choice-qa #size_categories-1K<n<10K #language-Korean #license-other #region-us \n",
"# Dataset Card for race",
"## Licensing Information\n\nURL\n\n1. RACE dataset is available for non-commercial research purpose only.\n\n2. All passages are obtained fro... | [
53,
6,
119,
8
] | [
"passage: TAGS\n#task_categories-multiple-choice #task_ids-multiple-choice-qa #size_categories-1K<n<10K #language-Korean #license-other #region-us \n# Dataset Card for race## Licensing Information\n\nURL\n\n1. RACE dataset is available for non-commercial research purpose only.\n\n2. All passages are obtained from t... |
6ea31e59f0d508b9cce053370a8bf018c66a7839 | # Dataset Card for "cstnews_data-temario_results"
rouge= {'rouge1': 0.5207584715132082, 'rouge2': 0.34711381882009107, 'rougeL': 0.38095639884621346, 'rougeLsum': 0.38095639884621346}
bert= {'precision': 0.7428307943046093, 'recall': 0.8364794515073299, 'f1': 0.7866528294980526}
mover = 0.6287250343090405 | arthurmluz/cstnews_data-temario_results | [
"region:us"
] | 2023-11-03T01:02:45+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T04:01:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-temario_results"
rouge= {'rouge1': 0.5207584715132082, 'rouge2': 0.34711381882009107, 'rougeL': 0.38095639884621346, 'rougeLsum': 0.38095639884621346}
bert= {'precision': 0.7428307943046093, 'recall': 0.8364794515073299, 'f1': 0.7866528294980526}
mover = 0.6287250343090405 | [
"# Dataset Card for \"cstnews_data-temario_results\"\n\n\nrouge= {'rouge1': 0.5207584715132082, 'rouge2': 0.34711381882009107, 'rougeL': 0.38095639884621346, 'rougeLsum': 0.38095639884621346}\n\nbert= {'precision': 0.7428307943046093, 'recall': 0.8364794515073299, 'f1': 0.7866528294980526}\n\nmover = 0.628725034309... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-temario_results\"\n\n\nrouge= {'rouge1': 0.5207584715132082, 'rouge2': 0.34711381882009107, 'rougeL': 0.38095639884621346, 'rougeLsum': 0.38095639884621346}\n\nbert= {'precision': 0.7428307943046093, 'recall': 0.8364794515073299, 'f1': 0.7866528294980526}\... | [
6,
139
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-temario_results\"\n\n\nrouge= {'rouge1': 0.5207584715132082, 'rouge2': 0.34711381882009107, 'rougeL': 0.38095639884621346, 'rougeLsum': 0.38095639884621346}\n\nbert= {'precision': 0.7428307943046093, 'recall': 0.8364794515073299, 'f1': 0.786652829498052... |
578b29091cce76ec1b464db1bb76cd37c4e9a7bf | Contributors: Nicolas Mejia Petit
# Vezora's CodeTester Dataset
## Introduction
Today, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and veri... | Vezora/Tested-22k-Python-Alpaca | [
"license:apache-2.0",
"region:us"
] | 2023-11-03T01:06:45+00:00 | {"license": "apache-2.0"} | 2023-12-26T00:02:32+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Contributors: Nicolas Mejia Petit
# Vezora's CodeTester Dataset
!License
## Introduction
Today, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and verified as working. Our dataset was created using a script we dev... | [
"# Vezora's CodeTester Dataset\n\n!License",
"## Introduction\n\nToday, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and verified as working. Our dataset was created using a script we developed.",
"### Datas... | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# Vezora's CodeTester Dataset\n\n!License",
"## Introduction\n\nToday, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and verified as working. Our dataset was create... | [
14,
14,
56,
458,
82,
34,
68,
353
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# Vezora's CodeTester Dataset\n\n!License## Introduction\n\nToday, on November 2, 2023, we are excited to release our internal Python dataset with 22,600 examples of code. These examples have been meticulously tested and verified as working. Our dataset was created u... |
5589febabff7ee50c0c04c72514cf83e41b94938 | # Dataset Card for "cstnews_data-wiki_temario_results"
rouge= {'rouge1': 0.5525303131963668, 'rouge2': 0.3319831382549481, 'rougeL': 0.40901822666642607, 'rougeLsum': 0.40901822666642607}
bert= {'precision': 0.782619547098875, 'recall': 0.8086873143911362, 'f1': 0.7947092242538929}
mover = 0.6412309719553281 | arthurmluz/cstnews_data-wiki_temario_results | [
"region:us"
] | 2023-11-03T01:08:51+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:49:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-wiki_temario_results"
rouge= {'rouge1': 0.5525303131963668, 'rouge2': 0.3319831382549481, 'rougeL': 0.40901822666642607, 'rougeLsum': 0.40901822666642607}
bert= {'precision': 0.782619547098875, 'recall': 0.8086873143911362, 'f1': 0.7947092242538929}
mover = 0.6412309719553281 | [
"# Dataset Card for \"cstnews_data-wiki_temario_results\"\n\nrouge= {'rouge1': 0.5525303131963668, 'rouge2': 0.3319831382549481, 'rougeL': 0.40901822666642607, 'rougeLsum': 0.40901822666642607}\n\nbert= {'precision': 0.782619547098875, 'recall': 0.8086873143911362, 'f1': 0.7947092242538929}\n\nmover = 0.64123097195... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-wiki_temario_results\"\n\nrouge= {'rouge1': 0.5525303131963668, 'rouge2': 0.3319831382549481, 'rougeL': 0.40901822666642607, 'rougeLsum': 0.40901822666642607}\n\nbert= {'precision': 0.782619547098875, 'recall': 0.8086873143911362, 'f1': 0.7947092242538929}... | [
6,
140
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-wiki_temario_results\"\n\nrouge= {'rouge1': 0.5525303131963668, 'rouge2': 0.3319831382549481, 'rougeL': 0.40901822666642607, 'rougeLsum': 0.40901822666642607}\n\nbert= {'precision': 0.782619547098875, 'recall': 0.8086873143911362, 'f1': 0.79470922425389... |
972075c9b55bc93f0b9ee72f0797202ecc656744 | # Dataset Card for "SDv2-GPT4Spatial-200"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Doub7e/SDv2-GPT4Spatial-200 | [
"region:us"
] | 2023-11-03T01:09:17+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "T5_last_hidden_states", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 203072791.0, "num_examples": 200}], "download_size": 204322556, "dataset_size": 2030... | 2023-11-03T01:26:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SDv2-GPT4Spatial-200"
More Information needed | [
"# Dataset Card for \"SDv2-GPT4Spatial-200\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"SDv2-GPT4Spatial-200\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"SDv2-GPT4Spatial-200\"\n\nMore Information needed"
] |
2c91f85e1f7e8a0cfb14a1e28653287329d8a35a | # Dataset Card for "cstnews_data-xlsumm_results"
rouge= {'rouge1': 0.24238643847479127, 'rouge2': 0.09767172698855643, 'rougeL': 0.17246288464026294, 'rougeLsum': 0.17246288464026294}
bert= {'precision': 0.7629447244107723, 'recall': 0.6678285673260689, 'f1': 0.710793524980545}
mover = 0.5670640524432061 | arthurmluz/cstnews_data-xlsum_results | [
"region:us"
] | 2023-11-03T01:10:29+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:51:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-xlsumm_results"
rouge= {'rouge1': 0.24238643847479127, 'rouge2': 0.09767172698855643, 'rougeL': 0.17246288464026294, 'rougeLsum': 0.17246288464026294}
bert= {'precision': 0.7629447244107723, 'recall': 0.6678285673260689, 'f1': 0.710793524980545}
mover = 0.5670640524432061 | [
"# Dataset Card for \"cstnews_data-xlsumm_results\"\n\nrouge= {'rouge1': 0.24238643847479127, 'rouge2': 0.09767172698855643, 'rougeL': 0.17246288464026294, 'rougeLsum': 0.17246288464026294}\n\nbert= {'precision': 0.7629447244107723, 'recall': 0.6678285673260689, 'f1': 0.710793524980545}\n\nmover = 0.567064052443206... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-xlsumm_results\"\n\nrouge= {'rouge1': 0.24238643847479127, 'rouge2': 0.09767172698855643, 'rougeL': 0.17246288464026294, 'rougeLsum': 0.17246288464026294}\n\nbert= {'precision': 0.7629447244107723, 'recall': 0.6678285673260689, 'f1': 0.710793524980545}\n\n... | [
6,
138
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-xlsumm_results\"\n\nrouge= {'rouge1': 0.24238643847479127, 'rouge2': 0.09767172698855643, 'rougeL': 0.17246288464026294, 'rougeLsum': 0.17246288464026294}\n\nbert= {'precision': 0.7629447244107723, 'recall': 0.6678285673260689, 'f1': 0.710793524980545}\... |
c322122666527d2626a37ac0370a512f047c4c81 | # Dataset Card for "cstnews_data-xlsumm_cstnews_results"
rouge= {'rouge1': 0.5498543272343877, 'rouge2': 0.37081395676717904, 'rougeL': 0.4140737044829083, 'rougeLsum': 0.4140737044829083}
bert= {'precision': 0.8062506914138794, 'recall': 0.8010864742100239, 'f1': 0.8028265088796616}
mover = 0.6432560342837185 | arthurmluz/cstnews_data-xlsum_cstnews_results | [
"region:us"
] | 2023-11-03T01:11:41+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "gen_summary", "dtype": "string"}, {"name": "rouge", "struct": [{"name": "rouge1", "dtype": "float64"}, {"name": "rouge2", "dtype": "float64"}, {"name": "rougeL", "dtyp... | 2023-11-15T03:52:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cstnews_data-xlsumm_cstnews_results"
rouge= {'rouge1': 0.5498543272343877, 'rouge2': 0.37081395676717904, 'rougeL': 0.4140737044829083, 'rougeLsum': 0.4140737044829083}
bert= {'precision': 0.8062506914138794, 'recall': 0.8010864742100239, 'f1': 0.8028265088796616}
mover = 0.6432560342837185 | [
"# Dataset Card for \"cstnews_data-xlsumm_cstnews_results\"\n\nrouge= {'rouge1': 0.5498543272343877, 'rouge2': 0.37081395676717904, 'rougeL': 0.4140737044829083, 'rougeLsum': 0.4140737044829083}\n\nbert= {'precision': 0.8062506914138794, 'recall': 0.8010864742100239, 'f1': 0.8028265088796616}\n\nmover = 0.643256034... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cstnews_data-xlsumm_cstnews_results\"\n\nrouge= {'rouge1': 0.5498543272343877, 'rouge2': 0.37081395676717904, 'rougeL': 0.4140737044829083, 'rougeLsum': 0.4140737044829083}\n\nbert= {'precision': 0.8062506914138794, 'recall': 0.8010864742100239, 'f1': 0.802826508879661... | [
6,
142
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cstnews_data-xlsumm_cstnews_results\"\n\nrouge= {'rouge1': 0.5498543272343877, 'rouge2': 0.37081395676717904, 'rougeL': 0.4140737044829083, 'rougeLsum': 0.4140737044829083}\n\nbert= {'precision': 0.8062506914138794, 'recall': 0.8010864742100239, 'f1': 0.802826508879... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.