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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4adb7faf12999b59bae7422c640ca04ac9896581 | # Dataset Card for "traininglogoset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | samp3209/traininglogoset | [
"region:us"
] | 2023-01-22T01:28:14+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 530151628.952, "num_examples": 9888}], "download_size": 498332084, "dataset_size": 530151628.952}} | 2023-01-22T01:28:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "traininglogoset"
More Information needed | [
"# Dataset Card for \"traininglogoset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"traininglogoset\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"traininglogoset\"\n\nMore Information needed"
] |
a03fc3bb20267743f3734ba115acb38331b42167 | # Dataset Card for "528by528logos"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | samp3209/528by528logos | [
"region:us"
] | 2023-01-22T01:54:48+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1204173958.858, "num_examples": 8817}], "download_size": 1262219319, "dataset_size": 1204173958.858}} | 2023-01-22T01:56:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "528by528logos"
More Information needed | [
"# Dataset Card for \"528by528logos\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"528by528logos\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"528by528logos\"\n\nMore Information needed"
] |
476e2a83fdeb660d996214d2af787aa13296581b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: cardiffnlp/twitter-roberta-base-sentiment-latest
* Dataset: tweet_eval
* Config: sentiment
*... | autoevaluate/autoeval-eval-tweet_eval-sentiment-5ae1bf-3003786426 | [
"autotrain",
"evaluation",
"region:us"
] | 2023-01-22T02:16:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["tweet_eval"], "eval_info": {"task": "multi_class_classification", "model": "cardiffnlp/twitter-roberta-base-sentiment-latest", "metrics": [], "dataset_name": "tweet_eval", "dataset_config": "sentiment", "dataset_split": "validation", "col_mappin... | 2023-01-22T02:17:33+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: cardiffnlp/twitter-roberta-base-sentiment-latest
* Dataset: tweet_eval
* Config: sentiment
* Split: validation
To run new evalu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: cardiffnlp/twitter-roberta-base-sentiment-latest\n* Dataset: tweet_eval\n* Config: sentiment\n* Split: validation\n\nT... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: cardiffnlp/twitter-roberta-base-sentiment-latest\n* Dataset: tweet_eva... | [
13,
98,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: cardiffnlp/twitter-roberta-base-sentiment-latest\n* Dataset: tweet_... |
8889c4e941110119099d51cd1b45196a609797fb | # Dataset Card for "pii-pile-chunk3-200000-250000-tagged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | j-chim/pii-pile-chunk3-200000-250000-tagged | [
"region:us"
] | 2023-01-22T04:08:01+00:00 | {"dataset_info": {"features": [{"name": "texts", "sequence": "string"}, {"name": "meta", "struct": [{"name": "pile_set_name", "dtype": "string"}]}, {"name": "scores", "sequence": "float64"}, {"name": "avg_score", "dtype": "float64"}, {"name": "num_sents", "dtype": "int64"}, {"name": "tagged_pii_results", "list": [{"nam... | 2023-01-22T04:08:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pii-pile-chunk3-200000-250000-tagged"
More Information needed | [
"# Dataset Card for \"pii-pile-chunk3-200000-250000-tagged\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pii-pile-chunk3-200000-250000-tagged\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pii-pile-chunk3-200000-250000-tagged\"\n\nMore Information needed"
] |
cc12b40d966293a4f4db2dd0882231ba14469f11 | # Introduction
I mannually choose 342 images from top-100 in weekly toplist of 2022.
I have to mention that some of painters may not be consent to the use of their art works in AI training.
| ecccho/pixiv-image-toplist-aesthetics | [
"region:us"
] | 2023-01-22T05:03:08+00:00 | {} | 2023-01-22T05:32:51+00:00 | [] | [] | TAGS
#region-us
| # Introduction
I mannually choose 342 images from top-100 in weekly toplist of 2022.
I have to mention that some of painters may not be consent to the use of their art works in AI training.
| [
"# Introduction\nI mannually choose 342 images from top-100 in weekly toplist of 2022. \nI have to mention that some of painters may not be consent to the use of their art works in AI training."
] | [
"TAGS\n#region-us \n",
"# Introduction\nI mannually choose 342 images from top-100 in weekly toplist of 2022. \nI have to mention that some of painters may not be consent to the use of their art works in AI training."
] | [
6,
46
] | [
"passage: TAGS\n#region-us \n# Introduction\nI mannually choose 342 images from top-100 in weekly toplist of 2022. \nI have to mention that some of painters may not be consent to the use of their art works in AI training."
] |
899815f1c41b1578541c28fad40d03c9137eeb08 | # Dataset Card for "fleurs_2_sec_chunks"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AMead10/fleurs_2_sec_chunks | [
"region:us"
] | 2023-01-22T06:54:20+00:00 | {"dataset_info": {"features": [{"name": "audio", "sequence": "float64"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 3407519773.999594, "num_examples": 13310}, {"name": "test", "num_bytes": 378641754.0004057, "num_examples": 1479}], "download_size": 2183139381, "dataset_size": 378616... | 2023-01-30T23:14:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fleurs_2_sec_chunks"
More Information needed | [
"# Dataset Card for \"fleurs_2_sec_chunks\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"fleurs_2_sec_chunks\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"fleurs_2_sec_chunks\"\n\nMore Information needed"
] |
4ddad9920947d6139a57d5f81da94c615bc5a17a | Набор действий происходящих с человеком | solkogan/people_actions | [
"language:ru",
"region:us"
] | 2023-01-22T09:23:04+00:00 | {"language": ["ru"]} | 2023-01-22T09:26:30+00:00 | [] | [
"ru"
] | TAGS
#language-Russian #region-us
| Набор действий происходящих с человеком | [] | [
"TAGS\n#language-Russian #region-us \n"
] | [
11
] | [
"passage: TAGS\n#language-Russian #region-us \n"
] |
a890b7bcd63e675e1969da650cd8d7d0d7e61c4c | # Dataset Card for "pii-pile-chunk3-250000-300000-tagged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | j-chim/pii-pile-chunk3-250000-300000-tagged | [
"region:us"
] | 2023-01-22T10:21:25+00:00 | {"dataset_info": {"features": [{"name": "texts", "sequence": "string"}, {"name": "meta", "struct": [{"name": "pile_set_name", "dtype": "string"}]}, {"name": "scores", "sequence": "float64"}, {"name": "avg_score", "dtype": "float64"}, {"name": "num_sents", "dtype": "int64"}, {"name": "tagged_pii_results", "list": [{"nam... | 2023-01-22T10:21:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pii-pile-chunk3-250000-300000-tagged"
More Information needed | [
"# Dataset Card for \"pii-pile-chunk3-250000-300000-tagged\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pii-pile-chunk3-250000-300000-tagged\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pii-pile-chunk3-250000-300000-tagged\"\n\nMore Information needed"
] |
b9ad429b3893eab30321b0aaf319c25a9363d3b3 | # Dataset Card for "patched_1000_test_p_100_m1_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_1000_test_p_100_m1_predictions | [
"region:us"
] | 2023-01-22T15:09:09+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 519712989, "num_examples": 1319717}], "download_size": 50674557, "dataset_size": 519712... | 2023-01-22T15:12:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_1000_test_p_100_m1_predictions"
More Information needed | [
"# Dataset Card for \"patched_1000_test_p_100_m1_predictions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"patched_1000_test_p_100_m1_predictions\"\n\nMore Information needed"
] | [
6,
27
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"patched_1000_test_p_100_m1_predictions\"\n\nMore Information needed"
] |
2bf231971572aeb500a72b8df7ad393272c11b56 | # Overview
Converted from these datasets:
> https://huggingface.co/datasets/jordiclive/scored_summarization_datasets -> labeled "data" \
> https://huggingface.co/datasets/jordiclive/wikipedia-summary-dataset -> labeled "wiki" \
wiki dataset is split between "description" (cleaner, more popular articles) and "no descr... | MyloBishop/reverse_summarization_dataset | [
"region:us"
] | 2023-01-22T15:15:30+00:00 | {} | 2023-01-22T17:37:24+00:00 | [] | [] | TAGS
#region-us
| # Overview
Converted from these datasets:
> URL -> labeled "data" \
> URL -> labeled "wiki" \
wiki dataset is split between "description" (cleaner, more popular articles) and "no description" (less clean, less popular)
Consist of parquet files with cols: 'instruction, response, source'
full_to_summary (fts) consist... | [
"# Overview\n\nConverted from these datasets:\n> URL -> labeled \"data\" \\\n> URL -> labeled \"wiki\" \\\n\nwiki dataset is split between \"description\" (cleaner, more popular articles) and \"no description\" (less clean, less popular)\n\nConsist of parquet files with cols: 'instruction, response, source'\n\nfull... | [
"TAGS\n#region-us \n",
"# Overview\n\nConverted from these datasets:\n> URL -> labeled \"data\" \\\n> URL -> labeled \"wiki\" \\\n\nwiki dataset is split between \"description\" (cleaner, more popular articles) and \"no description\" (less clean, less popular)\n\nConsist of parquet files with cols: 'instruction, ... | [
6,
146
] | [
"passage: TAGS\n#region-us \n# Overview\n\nConverted from these datasets:\n> URL -> labeled \"data\" \\\n> URL -> labeled \"wiki\" \\\n\nwiki dataset is split between \"description\" (cleaner, more popular articles) and \"no description\" (less clean, less popular)\n\nConsist of parquet files with cols: 'instructio... |
9eb902cae7245e34dd6f7e8bb6439524f2e89d72 | # Dataset Card for "wvDatasetFinal"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | basilis/wvDatasetFinal | [
"region:us"
] | 2023-01-22T15:42:01+00:00 | {"dataset_info": {"features": [{"name": "final_text", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 6722209183, "num_examples": 97928}], "download_size": 1660170870, "dataset_size": 6722209183}} | 2023-01-22T15:46:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wvDatasetFinal"
More Information needed | [
"# Dataset Card for \"wvDatasetFinal\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wvDatasetFinal\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"wvDatasetFinal\"\n\nMore Information needed"
] |
7a7e92553a233e0b89afb93e8d8292a1a39ba490 | # Dataset Card for "patched_1000_test_p_40_m1_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_1000_test_p_40_m1_predictions | [
"region:us"
] | 2023-01-22T15:44:31+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 643791182, "num_examples": 1663294}], "download_size": 60859409, "dataset_size": 643791... | 2023-01-22T15:46:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_1000_test_p_40_m1_predictions"
More Information needed | [
"# Dataset Card for \"patched_1000_test_p_40_m1_predictions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"patched_1000_test_p_40_m1_predictions\"\n\nMore Information needed"
] | [
6,
27
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"patched_1000_test_p_40_m1_predictions\"\n\nMore Information needed"
] |
6c1379cb6e1554f34c878040af700aa798bf9f62 | # Dataset Card for "relbert/scientific_and_creative_analogy"
## Dataset Description
- **Repository:** [https://github.com/taczin/SCAN_analogies](https://github.com/taczin/SCAN_analogies)
- **Paper:** [https://arxiv.org/abs/2211.15268](https://arxiv.org/abs/2211.15268)
- **Dataset:** Relation Mapping
### Dataset Summar... | relbert/scientific_and_creative_analogy | [
"multilinguality:monolingual",
"size_categories:1<n<1K",
"language:en",
"license:other",
"arxiv:2211.15268",
"region:us"
] | 2023-01-22T16:29:04+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1<n<1K"], "pretty_name": "Relation Mapping"} | 2023-01-22T16:49:01+00:00 | [
"2211.15268"
] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1<n<1K #language-English #license-other #arxiv-2211.15268 #region-us
| Dataset Card for "relbert/scientific\_and\_creative\_analogy"
=============================================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Dataset: Relation Mapping
### Dataset Summary
A dataset for relation mapping task, which is a task to choose optima... | [
"### Dataset Summary\n\n\nA dataset for relation mapping task, which is a task to choose optimal combination of word pairs (see more detail in the paper).\n\n\nRelation mapping 'M' is the set of bijective map in between two sets of terms ('A' and 'B'):\n\n\n*Relation Mapping Problem* is the task to identify the map... | [
"TAGS\n#multilinguality-monolingual #size_categories-1<n<1K #language-English #license-other #arxiv-2211.15268 #region-us \n",
"### Dataset Summary\n\n\nA dataset for relation mapping task, which is a task to choose optimal combination of word pairs (see more detail in the paper).\n\n\nRelation mapping 'M' is the... | [
43,
103,
154,
5
] | [
"passage: TAGS\n#multilinguality-monolingual #size_categories-1<n<1K #language-English #license-other #arxiv-2211.15268 #region-us \n### Dataset Summary\n\n\nA dataset for relation mapping task, which is a task to choose optimal combination of word pairs (see more detail in the paper).\n\n\nRelation mapping 'M' is ... |
2127d1c183b87fcae8176346473cb8103deaf872 | # Dataset Card for "Hatefulmemes_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Hatefulmemes_train | [
"region:us"
] | 2023-01-22T17:25:12+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "not-hateful", "1": "hateful"}}}}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype":... | 2023-05-07T19:54:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Hatefulmemes_train"
More Information needed | [
"# Dataset Card for \"Hatefulmemes_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Hatefulmemes_train\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Hatefulmemes_train\"\n\nMore Information needed"
] |
e4adbc1a9793e94f14e9a422f56c672b3e4b7f44 | # Dataset Card for "Hatefulmemes_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Hatefulmemes_test | [
"region:us"
] | 2023-01-22T17:27:29+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "not-hateful", "1": "hateful"}}}}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "LLM_Description_gpt3_do... | 2023-06-17T01:26:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Hatefulmemes_test"
More Information needed | [
"# Dataset Card for \"Hatefulmemes_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Hatefulmemes_test\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Hatefulmemes_test\"\n\nMore Information needed"
] |
3c5c0f5c6b5b14e1dd29b76055d73db7e9a110d3 | # Dataset Card for "pii-pile-chunk3-300000-350000-tagged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | j-chim/pii-pile-chunk3-300000-350000-tagged | [
"region:us"
] | 2023-01-22T17:57:02+00:00 | {"dataset_info": {"features": [{"name": "texts", "sequence": "string"}, {"name": "meta", "struct": [{"name": "pile_set_name", "dtype": "string"}]}, {"name": "scores", "sequence": "float64"}, {"name": "avg_score", "dtype": "float64"}, {"name": "num_sents", "dtype": "int64"}, {"name": "tagged_pii_results", "list": [{"nam... | 2023-01-22T17:57:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pii-pile-chunk3-300000-350000-tagged"
More Information needed | [
"# Dataset Card for \"pii-pile-chunk3-300000-350000-tagged\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pii-pile-chunk3-300000-350000-tagged\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pii-pile-chunk3-300000-350000-tagged\"\n\nMore Information needed"
] |
17b54df016af0073e3bc05ee9bf56352dd3b4713 | # Dataset Card for "patched_1000_test_p_150_m1_predictions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roa7n/patched_1000_test_p_150_m1_predictions | [
"region:us"
] | 2023-01-22T17:57:24+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "sequence_str", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "m1_preds", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 415290126, "num_examples": 1035692}], "download_size": 41645841, "dataset_size": 415290... | 2023-01-22T17:57:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "patched_1000_test_p_150_m1_predictions"
More Information needed | [
"# Dataset Card for \"patched_1000_test_p_150_m1_predictions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"patched_1000_test_p_150_m1_predictions\"\n\nMore Information needed"
] | [
6,
27
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"patched_1000_test_p_150_m1_predictions\"\n\nMore Information needed"
] |
afc1b5fdb5125962aeb896eef182fce3cdd31475 |
# Dataset Card for spaeti_store
## Dataset Description
The dataset consists of 10 pictures of one späti (German convenience store) from different angles.
The data is unlabeled.
The dataset was created to fine-tune a text-to-image Stable Diffusion model as part of the DreamBooth Hackathon. Visit the [organization's pa... | malysheva42/spaeti_store | [
"task_categories:text-to-image",
"task_categories:image-segmentation",
"task_categories:image-classification",
"task_categories:image-to-image",
"size_categories:n<1K",
"license:openrail",
"region:us"
] | 2023-01-22T19:20:22+00:00 | {"license": "openrail", "size_categories": ["n<1K"], "task_categories": ["text-to-image", "image-segmentation", "image-classification", "image-to-image"], "pretty_name": "Photos of one sp\u00e4ti (a German convenience store)"} | 2023-02-07T17:34:51+00:00 | [] | [] | TAGS
#task_categories-text-to-image #task_categories-image-segmentation #task_categories-image-classification #task_categories-image-to-image #size_categories-n<1K #license-openrail #region-us
|
# Dataset Card for spaeti_store
## Dataset Description
The dataset consists of 10 pictures of one späti (German convenience store) from different angles.
The data is unlabeled.
The dataset was created to fine-tune a text-to-image Stable Diffusion model as part of the DreamBooth Hackathon. Visit the organization's pag... | [
"# Dataset Card for spaeti_store",
"## Dataset Description\nThe dataset consists of 10 pictures of one späti (German convenience store) from different angles. \nThe data is unlabeled.\nThe dataset was created to fine-tune a text-to-image Stable Diffusion model as part of the DreamBooth Hackathon. Visit the organi... | [
"TAGS\n#task_categories-text-to-image #task_categories-image-segmentation #task_categories-image-classification #task_categories-image-to-image #size_categories-n<1K #license-openrail #region-us \n",
"# Dataset Card for spaeti_store",
"## Dataset Description\nThe dataset consists of 10 pictures of one späti (Ge... | [
69,
9,
76
] | [
"passage: TAGS\n#task_categories-text-to-image #task_categories-image-segmentation #task_categories-image-classification #task_categories-image-to-image #size_categories-n<1K #license-openrail #region-us \n# Dataset Card for spaeti_store## Dataset Description\nThe dataset consists of 10 pictures of one späti (Germa... |
5fff4e2ac3514a4bb861b046c6206159ac6e9d63 | # Dataset Card for "Hatefulmemes_train_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Hatefulmemes_train_embeddings | [
"region:us"
] | 2023-01-22T19:25:54+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "vision_embeddings", "sequence": "float32"}], "splits": [{"name": "openai_clip_vit_large_patch14", "num_bytes": 3080005786.0, "num_examples": 8500}], "download_size": 3087127731, "dataset_size": 3080005786.0}} | 2023-01-22T19:28:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Hatefulmemes_train_embeddings"
More Information needed | [
"# Dataset Card for \"Hatefulmemes_train_embeddings\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Hatefulmemes_train_embeddings\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Hatefulmemes_train_embeddings\"\n\nMore Information needed"
] |
50adeea882bdf0bddf535b6c4245005efade3d57 | # Dataset Card for "Hatefulmemes_test_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Hatefulmemes_test_embeddings | [
"region:us"
] | 2023-01-22T19:41:51+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "vision_embeddings", "sequence": "float32"}], "splits": [{"name": "openai_clip_vit_large_patch14", "num_bytes": 364453207.0, "num_examples": 1000}], "download_size": 365091102, "dataset_size": 364453207.0}} | 2023-01-22T19:42:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Hatefulmemes_test_embeddings"
More Information needed | [
"# Dataset Card for \"Hatefulmemes_test_embeddings\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Hatefulmemes_test_embeddings\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Hatefulmemes_test_embeddings\"\n\nMore Information needed"
] |
1f8922b2a37c65ec38e79d7a4704c1b9b6f21f7e |
# Dataset Card for Swiss Legislation
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset... | rcds/swiss_legislation | [
"task_categories:text-classification",
"task_categories:translation",
"size_categories:100K<n<1M",
"language:de",
"language:fr",
"language:it",
"license:cc-by-sa-4.0",
"arxiv:2306.09237",
"region:us"
] | 2023-01-22T20:02:28+00:00 | {"language": ["de", "fr", "it"], "license": "cc-by-sa-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "translation"], "pretty_name": "Swiss Legislation"} | 2023-07-20T06:36:07+00:00 | [
"2306.09237"
] | [
"de",
"fr",
"it"
] | TAGS
#task_categories-text-classification #task_categories-translation #size_categories-100K<n<1M #language-German #language-French #language-Italian #license-cc-by-sa-4.0 #arxiv-2306.09237 #region-us
| Dataset Card for Swiss Legislation
==================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation R... | [
"### Dataset Summary\n\n\nSwiss Legislation is a multilingual, diachronic dataset of 36K Swiss laws. This dataset is part of a challenging Information Retreival task.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nThe total number of texts in the dataset is 35,698. The dataset is saved in *lexfin... | [
"TAGS\n#task_categories-text-classification #task_categories-translation #size_categories-100K<n<1M #language-German #language-French #language-Italian #license-cc-by-sa-4.0 #arxiv-2306.09237 #region-us \n",
"### Dataset Summary\n\n\nSwiss Legislation is a multilingual, diachronic dataset of 36K Swiss laws. This ... | [
73,
40,
10,
175,
505,
6,
5,
320,
7,
4,
50,
30,
5,
5,
22,
55,
7,
8,
14,
6,
110
] | [
"passage: TAGS\n#task_categories-text-classification #task_categories-translation #size_categories-100K<n<1M #language-German #language-French #language-Italian #license-cc-by-sa-4.0 #arxiv-2306.09237 #region-us \n### Dataset Summary\n\n\nSwiss Legislation is a multilingual, diachronic dataset of 36K Swiss laws. Th... |
2dc7f435cb51768eaa6275d5242bfa777bfc5a06 |
# PLANE Out-of-Distribution Sets
PLANE (phrase-level adjective-noun entailment) is a benchmark to test models on fine-grained compositional inference.
The current dataset contains five sampled splits, used in the supervised experiments of [Bertolini et al., 22](https://aclanthology.org/2022.coling-1.359/).
## Data... | lorenzoscottb/PLANE-ood | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-2.0",
"region:us"
] | 2023-01-22T21:22:03+00:00 | {"language": ["en"], "license": "cc-by-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"]} | 2023-01-25T09:51:09+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-English #license-cc-by-2.0 #region-us
|
# PLANE Out-of-Distribution Sets
PLANE (phrase-level adjective-noun entailment) is a benchmark to test models on fine-grained compositional inference.
The current dataset contains five sampled splits, used in the supervised experiments of Bertolini et al., 22.
## Data Structure
The 'dataset' is organised around f... | [
"# PLANE Out-of-Distribution Sets\n\nPLANE (phrase-level adjective-noun entailment) is a benchmark to test models on fine-grained compositional inference. \nThe current dataset contains five sampled splits, used in the supervised experiments of Bertolini et al., 22.",
"## Data Structure\n\nThe 'dataset' is organi... | [
"TAGS\n#task_categories-text-classification #size_categories-100K<n<1M #language-English #license-cc-by-2.0 #region-us \n",
"# PLANE Out-of-Distribution Sets\n\nPLANE (phrase-level adjective-noun entailment) is a benchmark to test models on fine-grained compositional inference. \nThe current dataset contains five... | [
42,
73,
42,
301,
30,
22
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-100K<n<1M #language-English #license-cc-by-2.0 #region-us \n# PLANE Out-of-Distribution Sets\n\nPLANE (phrase-level adjective-noun entailment) is a benchmark to test models on fine-grained compositional inference. \nThe current dataset contains f... |
eaab5e695a1c8084eea9abebf7323ca9d6eea727 | # Dataset Card for "bookcorpus_compact_256_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_256_test | [
"region:us"
] | 2023-01-22T21:43:56+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20727824, "num_examples": 6160}], "download_size": 10867768, "dataset_size": 20727824}} | 2023-01-22T23:43:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_256_test"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_256_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bookcorpus_compact_256_test\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bookcorpus_compact_256_test\"\n\nMore Information needed"
] |
5e9d7b7fc073553b624f050b6bb1a05b1073960f | # Dataset Card for "bookcorpus_compact_512_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_512_test | [
"region:us"
] | 2023-01-22T21:51:07+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39735149, "num_examples": 6160}], "download_size": 20545672, "dataset_size": 39735149}} | 2023-01-23T00:07:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_512_test"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_512_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bookcorpus_compact_512_test\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bookcorpus_compact_512_test\"\n\nMore Information needed"
] |
407683a9e51c59c4a6ed148177f36df5017034ef |
# Ivypanda essays
## Dataset Description
- **Homepage:** https://laion.ai/
### Dataset Summary
This dataset contains essays from [ivypanda](https://ivypanda.com/essays/).
## Dataset Structure
### Data Fields
`TEXT`: The text of the essay.<br/>
`SOURCE`: A permalink to the ivypanda essay page
| qwedsacf/ivypanda-essays | [
"region:us"
] | 2023-01-23T00:37:04+00:00 | {} | 2023-02-03T21:05:11+00:00 | [] | [] | TAGS
#region-us
|
# Ivypanda essays
## Dataset Description
- Homepage: URL
### Dataset Summary
This dataset contains essays from ivypanda.
## Dataset Structure
### Data Fields
'TEXT': The text of the essay.<br/>
'SOURCE': A permalink to the ivypanda essay page
| [
"# Ivypanda essays",
"## Dataset Description\n\n- Homepage: URL",
"### Dataset Summary\n\nThis dataset contains essays from ivypanda.",
"## Dataset Structure",
"### Data Fields\n\n'TEXT': The text of the essay.<br/>\n'SOURCE': A permalink to the ivypanda essay page"
] | [
"TAGS\n#region-us \n",
"# Ivypanda essays",
"## Dataset Description\n\n- Homepage: URL",
"### Dataset Summary\n\nThis dataset contains essays from ivypanda.",
"## Dataset Structure",
"### Data Fields\n\n'TEXT': The text of the essay.<br/>\n'SOURCE': A permalink to the ivypanda essay page"
] | [
6,
6,
8,
18,
6,
34
] | [
"passage: TAGS\n#region-us \n# Ivypanda essays## Dataset Description\n\n- Homepage: URL### Dataset Summary\n\nThis dataset contains essays from ivypanda.## Dataset Structure### Data Fields\n\n'TEXT': The text of the essay.<br/>\n'SOURCE': A permalink to the ivypanda essay page"
] |
e417799ec581048674164e3e4b595ff8560d32a3 | # Dataset Card for "bookcorpus_compact_256_test_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_256_test_meta | [
"region:us"
] | 2023-01-23T01:04:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}, {"name": "cid_arrangement", "sequence": "int32"}, {"name": "schema_lengths", "sequence": "int64"}, {"name": "topic_entity_mask", "sequence": "int64"}, {"name": "text_lengths", "sequence": "int64"}], "... | 2023-01-23T01:04:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_256_test_meta"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_256_test_meta\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bookcorpus_compact_256_test_meta\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bookcorpus_compact_256_test_meta\"\n\nMore Information needed"
] |
4d631c6bbd0ec86f851fd15932a6eb589f3dfa24 | # Dataset Card for "bookcorpus_compact_512_test_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_512_test_meta | [
"region:us"
] | 2023-01-23T04:03:52+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}, {"name": "cid_arrangement", "sequence": "int32"}, {"name": "schema_lengths", "sequence": "int64"}, {"name": "topic_entity_mask", "sequence": "int64"}, {"name": "text_lengths", "sequence": "int64"}], "... | 2023-01-23T04:04:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_512_test_meta"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_512_test_meta\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bookcorpus_compact_512_test_meta\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bookcorpus_compact_512_test_meta\"\n\nMore Information needed"
] |
c5bb3cfee315427148cd8dbf86d2d244a4b6e195 | # Dataset Card for "mnist_dijkstra_v0.0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jlbaker361/mnist_dijkstra_v0.0 | [
"region:us"
] | 2023-01-23T05:31:23+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "sequence", "sequence": "int64"}, {"name": "occurence", "dtype": "int64"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 84223889, "num_examples": 68614}], "download_size": 12695868, "dataset_size": 84223889}... | 2023-02-04T17:06:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mnist_dijkstra_v0.0"
More Information needed | [
"# Dataset Card for \"mnist_dijkstra_v0.0\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mnist_dijkstra_v0.0\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"mnist_dijkstra_v0.0\"\n\nMore Information needed"
] |
837cbf43f126704bda094ab7649c5bcbef8c5320 | # Dataset Card for SLF5K
## Dataset Description
- **Repository: https://github.com/JeremyAlain/imitation_learning_from_language_feedback**
- **Paper: Training Language Models with Language Feedback at Scale**
- **Point of Contact: jeremy.scheurer@nyu.edu and ethan@anthropic.com**
### Dataset Summary
The Summarizati... | JeremyAlain/SLF5K | [
"task_categories:summarization",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"feedback",
"human feedback",
"language feedback",
"binary feedback",... | 2023-01-23T08:44:34+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "SLF5K", "tags": ["feedba... | 2023-01-24T14:21:35+00:00 | [
"2009.01325"
] | [
"en"
] | TAGS
#task_categories-summarization #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-apache-2.0 #feedback #human feedback #language feedback #binary feedback #reward #reward model #gpt3 #gpt-3 #ins... | Dataset Card for SLF5K
======================
Dataset Description
-------------------
* Repository: URL
* Paper: Training Language Models with Language Feedback at Scale
* Point of Contact: jeremy.scheurer@URL and ethan@URL
### Dataset Summary
The Summarization with Language Feedback (SLF5K) dataset is an Engli... | [
"### Dataset Summary\n\n\nThe Summarization with Language Feedback (SLF5K) dataset is an English-language dataset containing 5K unique samples that can be used\nfor the task of abstraction summarization. Each sample consists\nof a Reddit title and post, a model-generated (FeedME) summary, and human-written language... | [
"TAGS\n#task_categories-summarization #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-apache-2.0 #feedback #human feedback #language feedback #binary feedback #reward #reward model #gpt3 #gpt-... | [
140,
227,
117,
12,
127,
505,
71,
35,
4,
159,
20,
5,
127,
23,
39,
151,
136,
129,
142,
24
] | [
"passage: TAGS\n#task_categories-summarization #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-apache-2.0 #feedback #human feedback #language feedback #binary feedback #reward #reward model #g... |
62b5618758a398f989de278272fe605ecf9878de | # Dataset Card for "pexel_friends"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel_friends | [
"region:us"
] | 2023-01-23T09:32:49+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2906655034.625, "num_examples": 7995}], "download_size": 490223516, "dataset_size": 2906655034.625}} | 2023-01-23T09:46:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel_friends"
More Information needed | [
"# Dataset Card for \"pexel_friends\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pexel_friends\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pexel_friends\"\n\nMore Information needed"
] |
22cf1bdc4e49b115220c782203f6504be1181774 | # CelebA Dataset
CelebA Dataset is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations, including 10,177 number... | hfaus/CelebA_bbox_and_facepoints | [
"size_categories:n<1K",
"region:us"
] | 2023-01-23T11:04:45+00:00 | {"size_categories": ["n<1K"]} | 2023-01-28T09:34:39+00:00 | [] | [] | TAGS
#size_categories-n<1K #region-us
| # CelebA Dataset
CelebA Dataset is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations, including 10,177 number... | [
"# CelebA Dataset\n\nCelebA Dataset is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations, including 10,177... | [
"TAGS\n#size_categories-n<1K #region-us \n",
"# CelebA Dataset\n\nCelebA Dataset is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large qua... | [
16,
109,
22,
21,
35
] | [
"passage: TAGS\n#size_categories-n<1K #region-us \n# CelebA Dataset\n\nCelebA Dataset is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large ... |
8803964e7afd58380010264fe1e58dd3cd59f304 | # AutoTrain Dataset for project: big_tm4
## Dataset Description
This dataset has been automatically processed by AutoTrain for project big_tm4.
### 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
[
{
... | Aman6917/autotrain-data-big_tm4 | [
"task_categories:summarization",
"region:us"
] | 2023-01-23T11:43:56+00:00 | {"task_categories": ["summarization"]} | 2023-01-23T12:45:31+00:00 | [] | [] | TAGS
#task_categories-summarization #region-us
| AutoTrain Dataset for project: big\_tm4
=======================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project big\_tm4.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Da... | [
"### 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-summarization #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 c... | [
16,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-summarization #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 called \"f... |
16b3ebb3b831dd0cbf832ea0c25c963a71beb5b6 |
# ⚕️ health-questions
TODO | heinrichreimer/health-questions | [
"size_categories:1M<n<10M",
"language:en",
"Health",
"Question Answering",
"region:us"
] | 2023-01-23T11:47:06+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "tags": ["Health", "Question Answering"], "dataset_info": [{"config_name": "silver", "features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "health_related_label", "dtype": {"class_label": {"names": {"0": "not_health_related", ... | 2023-01-23T16:42:37+00:00 | [] | [
"en"
] | TAGS
#size_categories-1M<n<10M #language-English #Health #Question Answering #region-us
|
# ️ health-questions
TODO | [
"# ️ health-questions\n\nTODO"
] | [
"TAGS\n#size_categories-1M<n<10M #language-English #Health #Question Answering #region-us \n",
"# ️ health-questions\n\nTODO"
] | [
29,
9
] | [
"passage: TAGS\n#size_categories-1M<n<10M #language-English #Health #Question Answering #region-us \n# ️ health-questions\n\nTODO"
] |
1f56c0ab8f18531e43c5c772f1a6dc74dae83ac1 | The dataset containes test.csv and train.csv of skin crops 128x128.
| vgg/skin_data | [
"region:us"
] | 2023-01-23T11:50:07+00:00 | {} | 2023-01-23T13:48:10+00:00 | [] | [] | TAGS
#region-us
| The dataset containes URL and URL of skin crops 128x128.
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
bb2433b96b49bc502271d4224a73a925b1df5539 | # Dataset Card for "AToMiC-Images-v0.2-medium"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | justram/AToMiC-Images-v0.2-medium | [
"region:us"
] | 2023-01-23T12:34:40+00:00 | {"dataset_info": {"features": [{"name": "image_url", "dtype": "string"}, {"name": "image_id", "dtype": "string"}, {"name": "language", "sequence": "string"}, {"name": "caption_reference_description", "sequence": "string"}, {"name": "caption_alt_text_description", "sequence": "string"}, {"name": "caption_attribution_des... | 2023-01-23T14:01:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AToMiC-Images-v0.2-medium"
More Information needed | [
"# Dataset Card for \"AToMiC-Images-v0.2-medium\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"AToMiC-Images-v0.2-medium\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"AToMiC-Images-v0.2-medium\"\n\nMore Information needed"
] |
950956d618f7adc50ee9e06d3bdd5eb73425be4a | # Dataset Card for "AToMiC-Texts-v0.2-medium"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | justram/AToMiC-Texts-v0.2-medium | [
"region:us"
] | 2023-01-23T12:37:49+00:00 | {"dataset_info": {"features": [{"name": "text_id", "dtype": "string"}, {"name": "page_url", "dtype": "string"}, {"name": "page_title", "dtype": "string"}, {"name": "section_title", "dtype": "string"}, {"name": "context_page_description", "dtype": "string"}, {"name": "context_section_description", "dtype": "string"}, {"... | 2023-01-23T15:49:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AToMiC-Texts-v0.2-medium"
More Information needed | [
"# Dataset Card for \"AToMiC-Texts-v0.2-medium\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"AToMiC-Texts-v0.2-medium\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"AToMiC-Texts-v0.2-medium\"\n\nMore Information needed"
] |
47963b65a897cb884f972bbac237d78d79ade32d | # Dataset Card for "pexel_friends_with_generated_captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel_friends_with_generated_captions | [
"region:us"
] | 2023-01-23T12:46:26+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "generated_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2907255881.625, "num_examples": 7995}], "download_size": 2902632694, "dataset_size": 2907255881.625}} | 2023-01-23T12:51:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel_friends_with_generated_captions"
More Information needed | [
"# Dataset Card for \"pexel_friends_with_generated_captions\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pexel_friends_with_generated_captions\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pexel_friends_with_generated_captions\"\n\nMore Information needed"
] |
22a723953c86a961f25e370b8b61eb14e7615e8a | # Dataset Card for "bookcorpus_compact_1024_test_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_test_meta | [
"region:us"
] | 2023-01-23T12:46:56+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}, {"name": "cid_arrangement", "sequence": "int32"}, {"name": "schema_lengths", "sequence": "int64"}, {"name": "topic_entity_mask", "sequence": "int64"}, {"name": "text_lengths", "sequence": "int64"}], "... | 2023-01-23T12:48:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_test_meta"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_1024_test_meta\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"bookcorpus_compact_1024_test_meta\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"bookcorpus_compact_1024_test_meta\"\n\nMore Information needed"
] |
b050b1a855784e4b00ccb94d72f5fc9eec4966b0 | # Dataset Card for "pexel_people"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/pexel_people | [
"region:us"
] | 2023-01-23T13:10:10+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "generated_caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5374411376.0, "num_examples": 15994}], "download_size": 3908548281, "dataset_size": 5374411376.0}} | 2023-01-23T14:01:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pexel_people"
More Information needed | [
"# Dataset Card for \"pexel_people\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pexel_people\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pexel_people\"\n\nMore Information needed"
] |
15af196dd1d605fd3e5e3025be6a0aa5e03726ec | # Dataset Card for "Emoji_Dataset-Openmoji-BLIP"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | soypablo/Emoji_Dataset-Openmoji-BLIP | [
"region:us"
] | 2023-01-23T13:20:41+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 85108246.546, "num_examples": 4083}], "download_size": 101495440, "dataset_size": 85108246.546}} | 2023-01-25T10:00:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Emoji_Dataset-Openmoji-BLIP"
More Information needed | [
"# Dataset Card for \"Emoji_Dataset-Openmoji-BLIP\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Emoji_Dataset-Openmoji-BLIP\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Emoji_Dataset-Openmoji-BLIP\"\n\nMore Information needed"
] |
fd8beffb788df5f6673bc688e6dcbe3690a3acc6 | https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark
The companion datasets to the STS Benchmark comprise the rest of the English datasets used in the STS tasks organized by us in the context of SemEval between 2012 and 2017.
Authors collated two datasets, one with pairs of sentences related to machine translation e... | tasksource/sts-companion | [
"task_categories:sentence-similarity",
"task_categories:text-classification",
"language:en",
"license:apache-2.0",
"sts",
"region:us"
] | 2023-01-23T13:34:56+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["sentence-similarity", "text-classification"], "tags": ["sts"]} | 2023-02-03T08:36:00+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #task_categories-text-classification #language-English #license-apache-2.0 #sts #region-us
| URL
The companion datasets to the STS Benchmark comprise the rest of the English datasets used in the STS tasks organized by us in the context of SemEval between 2012 and 2017.
Authors collated two datasets, one with pairs of sentences related to machine translation evaluation. Another one with the rest of datasets, w... | [] | [
"TAGS\n#task_categories-sentence-similarity #task_categories-text-classification #language-English #license-apache-2.0 #sts #region-us \n"
] | [
45
] | [
"passage: TAGS\n#task_categories-sentence-similarity #task_categories-text-classification #language-English #license-apache-2.0 #sts #region-us \n"
] |
ddace36e243b1573b2e40ed07f82d62b09b4f9a5 | # Gronings transcribed speech
Demonstration dataset with Gronings transcribed speech based on the dataset released by [San et al. (2021)](https://github.com/fauxneticien/qbe-std_feats_eval).
For more information see the corresponding [ASRU 2021 paper](https://ieeexplore.ieee.org/abstract/document/9688301). | bartelds/gos-demo | [
"task_categories:automatic-speech-recognition",
"language:gos",
"license:cc-by-4.0",
"region:us"
] | 2023-01-23T14:17:51+00:00 | {"language": ["gos"], "license": "cc-by-4.0", "task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}], "splits": [{"name": "development", "num_bytes": 6030729, "num_examples": 59}, {"name": "... | 2023-01-23T14:35:26+00:00 | [] | [
"gos"
] | TAGS
#task_categories-automatic-speech-recognition #language-Gronings #license-cc-by-4.0 #region-us
| # Gronings transcribed speech
Demonstration dataset with Gronings transcribed speech based on the dataset released by San et al. (2021).
For more information see the corresponding ASRU 2021 paper. | [
"# Gronings transcribed speech\n\nDemonstration dataset with Gronings transcribed speech based on the dataset released by San et al. (2021).\n\nFor more information see the corresponding ASRU 2021 paper."
] | [
"TAGS\n#task_categories-automatic-speech-recognition #language-Gronings #license-cc-by-4.0 #region-us \n",
"# Gronings transcribed speech\n\nDemonstration dataset with Gronings transcribed speech based on the dataset released by San et al. (2021).\n\nFor more information see the corresponding ASRU 2021 paper."
] | [
36,
44
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #language-Gronings #license-cc-by-4.0 #region-us \n# Gronings transcribed speech\n\nDemonstration dataset with Gronings transcribed speech based on the dataset released by San et al. (2021).\n\nFor more information see the corresponding ASRU 2021 paper."... |
de806fb1036e510f9f4de599bed0cd0029b5286c | # AutoTrain Dataset for project: thycomments
## Dataset Description
This dataset has been automatically processed by HuggingFace AutoTrain for project tktktk.
### Languages
Turkish and English
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"text": "@TK_TR 21 dk beklemem gerekti... | tolgadev/thycomments | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:tr",
"language:en",
"region:us"
] | 2023-01-23T14:34:30+00:00 | {"language": ["tr", "en"], "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"]} | 2023-01-30T14:18:43+00:00 | [] | [
"tr",
"en"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-Turkish #language-English #region-us
| AutoTrain Dataset for project: thycomments
==========================================
Dataset Description
-------------------
This dataset has been automatically processed by HuggingFace AutoTrain for project tktktk.
### Languages
Turkish and English
### Data Instances
A sample from this dataset looks as fo... | [
"### Languages\n\n\nTurkish and English",
"### 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 dataset is split into a train and validation split. The split sizes are as... | [
"TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-Turkish #language-English #region-us \n",
"### Languages\n\n\nTurkish and English",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called... | [
39,
8,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-Turkish #language-English #region-us \n### Languages\n\n\nTurkish and English### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also called \"featur... |
68c40c1620b63e175f06045e908ead8b3132d30c |
# preprocessed version of rcds/wikipedia-persons-masked
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [D... | rcds/wikipedia-for-mask-filling | [
"task_categories:fill-mask",
"annotations_creators:other",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-01-23T15:14:48+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["fill-mask"], "pretty_name": "wikipedia pages chunked for fill-mask"} | 2023-03-08T12:22:02+00:00 | [] | [
"en"
] | TAGS
#task_categories-fill-mask #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-cc-by-4.0 #region-us
|
# preprocessed version of rcds/wikipedia-persons-masked
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
... | [
"# preprocessed version of rcds/wikipedia-persons-masked",
"## Table of Contents\n\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n ... | [
"TAGS\n#task_categories-fill-mask #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
"# preprocessed version of rcds/wikipedia-persons-masked",
"## Table of Contents\n\n- Ta... | [
76,
17,
120,
24,
97,
50,
9,
47,
33,
16,
115,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
16
] | [
"passage: TAGS\n#task_categories-fill-mask #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n# preprocessed version of rcds/wikipedia-persons-masked## Table of Contents\n\n- Table... |
58c2e4e55263a5b613358a611b1e309ca0f3775f | # Dataset Card for "wvDataset2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | basilis/wvDataset2 | [
"region:us"
] | 2023-01-23T16:54:08+00:00 | {"dataset_info": {"features": [{"name": "tokenized_text", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 6675666248, "num_examples": 97928}], "download_size": 1690147799, "dataset_size": 6675666248}} | 2023-01-23T16:58:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wvDataset2"
More Information needed | [
"# Dataset Card for \"wvDataset2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"wvDataset2\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"wvDataset2\"\n\nMore Information needed"
] |
a71b5376f7f3e38502e726a9c3838e88c643d258 | # Dataset Card for "atis_intents"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fathyshalab/atis_intents | [
"region:us"
] | 2023-01-23T18:19:03+00:00 | {"dataset_info": {"features": [{"name": "label text", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 448812, "num_examples": 4834}, {"name": "test", "num_bytes": 69352, "num_examples": 800}], "download_size": 157677, "dataset_size... | 2023-01-23T18:25:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "atis_intents"
More Information needed | [
"# Dataset Card for \"atis_intents\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"atis_intents\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"atis_intents\"\n\nMore Information needed"
] |
350704cfca814d0e4292a7d3db40370beccc5d99 | # Dataset Card for "academia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juancopi81/academia | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"medium",
"region:us"
] | 2023-01-23T18:19:25+00:00 | {"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TITLE", "dtype": "string"}, {"name": "DESCRIPTION", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "SEGMENTS", "dtype... | 2023-01-24T18:28:53+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us
| # Dataset Card for "academia"
More Information needed | [
"# Dataset Card for \"academia\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us \n",
"# Dataset Card for \"academia\"\n\nMore Information needed"
] | [
34,
13
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us \n# Dataset Card for \"academia\"\n\nMore Information needed"
] |
175d8e24a9c9f01308a81eeda30d43d6c1aae67e | # Dataset Card for "dreambooth-hackathon-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | purplebear/dreambooth-hackathon-images | [
"region:us"
] | 2023-01-23T19:54:39+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 54613224.0, "num_examples": 20}], "download_size": 54616715, "dataset_size": 54613224.0}} | 2023-01-23T20:07:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-images"
More Information needed | [
"# Dataset Card for \"dreambooth-hackathon-images\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dreambooth-hackathon-images\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"dreambooth-hackathon-images\"\n\nMore Information needed"
] |
e6d14657870251c07882a1a2ee772277d85a75bc | # Dataset Card for "utd_reddit.json"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rami/utd_reddit.json | [
"region:us"
] | 2023-01-23T20:05:54+00:00 | {"dataset_info": {"features": [{"name": "j52edo", "struct": [{"name": "title", "dtype": "string"}, {"name": "selftext", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "num_comments", "dtype": "int64"}, {"name": "permalink", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "comments"... | 2023-01-24T16:30:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "utd_reddit.json"
More Information needed | [
"# Dataset Card for \"utd_reddit.json\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"utd_reddit.json\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"utd_reddit.json\"\n\nMore Information needed"
] |
48e8ffadc4c1d81013615481968376fade4bb046 | # Dataset Card for "dataset-identities-v-1.4-colorfulness"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SDbiaseval/dataset-identities-v-1.4-colorfulness | [
"region:us"
] | 2023-01-23T20:11:47+00:00 | {"dataset_info": {"features": [{"name": "ethnicity", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "no", "dtype": "int32"}, {"name": "image_path", "dtype": "string"}, {"name": "colorfulness", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 65148, "num_examples": 480}], "download_si... | 2023-01-23T20:12:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset-identities-v-1.4-colorfulness"
More Information needed | [
"# Dataset Card for \"dataset-identities-v-1.4-colorfulness\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dataset-identities-v-1.4-colorfulness\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"dataset-identities-v-1.4-colorfulness\"\n\nMore Information needed"
] |
bce52c9046c39581ed3309b7dd18934bbfa7b70a |
# Dataset Card for DivEMT Attributions
*For more details on DivEMT, see our [EMNLP 2022 Paper](https://arxiv.org/abs/2205.12215) and our [Github repository](https://github.com/gsarti/divemt)*
## Dataset Description
- **DivEMT Source:** [DivEMT Github](https://github.com/gsarti/divemt)
- **Inseq Source:** [Inseq Git... | inseq/divemt_attributions | [
"task_categories:translation",
"annotations_creators:machine-generated",
"multilinguality:translation",
"size_categories:1K<n<10K",
"language:it",
"language:ar",
"language:nl",
"language:tr",
"language:uk",
"language:vi",
"license:apache-2.0",
"arxiv:2205.12215",
"arxiv:2302.13942",
"regio... | 2023-01-23T21:26:39+00:00 | {"annotations_creators": ["machine-generated"], "language": ["it", "ar", "nl", "tr", "uk", "vi"], "license": "apache-2.0", "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "task_categories": ["translation"], "pretty_name": "divemt_attributions"} | 2023-03-16T16:02:19+00:00 | [
"2205.12215",
"2302.13942"
] | [
"it",
"ar",
"nl",
"tr",
"uk",
"vi"
] | TAGS
#task_categories-translation #annotations_creators-machine-generated #multilinguality-translation #size_categories-1K<n<10K #language-Italian #language-Arabic #language-Dutch #language-Turkish #language-Ukrainian #language-Vietnamese #license-apache-2.0 #arxiv-2205.12215 #arxiv-2302.13942 #region-us
|
# Dataset Card for DivEMT Attributions
*For more details on DivEMT, see our EMNLP 2022 Paper and our Github repository*
## Dataset Description
- DivEMT Source: DivEMT Github
- Inseq Source: Inseq Github
- DivEMT Paper: DivEMT Arxiv
- Inseq Paper: Inseq Arxiv
- Point of Contact: Gabriele Sarti | [
"# Dataset Card for DivEMT Attributions\n\n*For more details on DivEMT, see our EMNLP 2022 Paper and our Github repository*",
"## Dataset Description\n- DivEMT Source: DivEMT Github\n- Inseq Source: Inseq Github\n- DivEMT Paper: DivEMT Arxiv\n- Inseq Paper: Inseq Arxiv\n- Point of Contact: Gabriele Sarti"
] | [
"TAGS\n#task_categories-translation #annotations_creators-machine-generated #multilinguality-translation #size_categories-1K<n<10K #language-Italian #language-Arabic #language-Dutch #language-Turkish #language-Ukrainian #language-Vietnamese #license-apache-2.0 #arxiv-2205.12215 #arxiv-2302.13942 #region-us \n",
"... | [
108,
35,
61
] | [
"passage: TAGS\n#task_categories-translation #annotations_creators-machine-generated #multilinguality-translation #size_categories-1K<n<10K #language-Italian #language-Arabic #language-Dutch #language-Turkish #language-Ukrainian #language-Vietnamese #license-apache-2.0 #arxiv-2205.12215 #arxiv-2302.13942 #region-us... |
b60506d1caf875867bcaa17e6467ddf303e28ac7 |
## Description
This dataset contains images of Senko-san which were drawn by Rimukoro. All images are cropped up to 512x512 and every image contains txt file with tags list which were extracted from one of booru site.
## Examples
![example](data/24f5b766d1ff121bfe... | NeuroSenko/senko-arts-by-rimukoro-512x512 | [
"license:mit",
"Senko",
"region:us"
] | 2023-01-23T22:34:02+00:00 | {"license": "mit", "tags": ["Senko"]} | 2023-07-17T02:40:35+00:00 | [] | [] | TAGS
#license-mit #Senko #region-us
|
## Description
This dataset contains images of Senko-san which were drawn by Rimukoro. All images are cropped up to 512x512 and every image contains txt file with tags list which were extracted from one of booru site.
## Examples
!example
!example | [
"## Description\nThis dataset contains images of Senko-san which were drawn by Rimukoro. All images are cropped up to 512x512 and every image contains txt file with tags list which were extracted from one of booru site.",
"## Examples\n!example\n!example"
] | [
"TAGS\n#license-mit #Senko #region-us \n",
"## Description\nThis dataset contains images of Senko-san which were drawn by Rimukoro. All images are cropped up to 512x512 and every image contains txt file with tags list which were extracted from one of booru site.",
"## Examples\n!example\n!example"
] | [
14,
55,
11
] | [
"passage: TAGS\n#license-mit #Senko #region-us \n## Description\nThis dataset contains images of Senko-san which were drawn by Rimukoro. All images are cropped up to 512x512 and every image contains txt file with tags list which were extracted from one of booru site.## Examples\n!example\n!example"
] |
eebce6f114bd4b500d8bdcd1b214ceaa05cbe8df |
This dataset was created using [this tool](https://github.com/p1atdev/pinterest-wizard).
# concept_art.json
589 images about "Concept Art" from **Pinterest searches** 🤗.
# double_exposure.json
597 images about "Double Exposure" from **Pinterest searches** 🤗.
# vaporwave.json
599 images about "Vaporwave" from *... | p1atdev/pinterest | [
"license:cc0-1.0",
"region:us"
] | 2023-01-23T23:27:08+00:00 | {"license": "cc0-1.0"} | 2023-01-30T04:06:07+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
This dataset was created using this tool.
# concept_art.json
589 images about "Concept Art" from Pinterest searches .
# double_exposure.json
597 images about "Double Exposure" from Pinterest searches .
# URL
599 images about "Vaporwave" from Pinterest searches .
# URL
633 images about "Typography" from Pintere... | [
"# concept_art.json\n\n589 images about \"Concept Art\" from Pinterest searches .",
"# double_exposure.json\n\n597 images about \"Double Exposure\" from Pinterest searches .",
"# URL\n\n599 images about \"Vaporwave\" from Pinterest searches .",
"# URL\n\n633 images about \"Typography\" from Pinterest searches... | [
"TAGS\n#license-cc0-1.0 #region-us \n",
"# concept_art.json\n\n589 images about \"Concept Art\" from Pinterest searches .",
"# double_exposure.json\n\n597 images about \"Double Exposure\" from Pinterest searches .",
"# URL\n\n599 images about \"Vaporwave\" from Pinterest searches .",
"# URL\n\n633 images ab... | [
14,
22,
25,
17,
17,
16,
18,
2
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n# concept_art.json\n\n589 images about \"Concept Art\" from Pinterest searches .# double_exposure.json\n\n597 images about \"Double Exposure\" from Pinterest searches .# URL\n\n599 images about \"Vaporwave\" from Pinterest searches .# URL\n\n633 images about \"Typograph... |
00ebdd95d3c9d2c126ab659612271811f4a2baca | # Charged up 2023 data set from Team 88 TJ2
This data set contains labeled images of the two game objects for the 2023 FRC game "Charged Up".
Labels and folder structure follow the yolov5 format.
Data set split:
|Type|Size|
|---|---|
|Train|9352|
|Validation|934|
|Test|103|
| woz4tetra/charged_up_2023 | [
"frc",
"2023",
"charged up",
"team 88",
"tj2",
"region:us"
] | 2023-01-24T02:03:34+00:00 | {"pretty_name": "Charged Up 2023 Cones and Cubes", "tags": ["frc", "2023", "charged up", "team 88", "tj2"]} | 2023-02-26T19:19:05+00:00 | [] | [] | TAGS
#frc #2023 #charged up #team 88 #tj2 #region-us
| Charged up 2023 data set from Team 88 TJ2
=========================================
This data set contains labeled images of the two game objects for the 2023 FRC game "Charged Up".
Labels and folder structure follow the yolov5 format.
Data set split:
| [] | [
"TAGS\n#frc #2023 #charged up #team 88 #tj2 #region-us \n"
] | [
23
] | [
"passage: TAGS\n#frc #2023 #charged up #team 88 #tj2 #region-us \n"
] |
78012249b8dec7fc370bbc406457f9092b6e6e54 | # Dataset Card for "LegoCityAdventures"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ACosmicFractal/LegoCityAdventures | [
"region:us"
] | 2023-01-24T05:38:01+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 86324590.0, "num_examples": 653}], "download_size": 84571697, "dataset_size": 86324590.0}} | 2023-02-07T09:17:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "LegoCityAdventures"
More Information needed | [
"# Dataset Card for \"LegoCityAdventures\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"LegoCityAdventures\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"LegoCityAdventures\"\n\nMore Information needed"
] |
f81dbf9f801073710e75b002ef7593cd2230038e | # Dataset Card for "my-pokeman-dataset1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | xfh/my-pokeman-dataset1 | [
"region:us"
] | 2023-01-24T07:21:16+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 836857.0, "num_examples": 20}], "download_size": 805844, "dataset_size": 836857.0}} | 2023-01-24T07:22:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "my-pokeman-dataset1"
More Information needed | [
"# Dataset Card for \"my-pokeman-dataset1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"my-pokeman-dataset1\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"my-pokeman-dataset1\"\n\nMore Information needed"
] |
5f9ed9a1790bafe23dc3f84710602b4bb3a137ef |
```
@inproceedings{yanaka-etal-2019-neural,
title = "Can Neural Networks Understand Monotonicity Reasoning?",
author = "Yanaka, Hitomi and
Mineshima, Koji and
Bekki, Daisuke and
Inui, Kentaro and
Sekine, Satoshi and
Abzianidze, Lasha and
Bos, Johan",
booktitle = "P... | tasksource/monotonicity-entailment | [
"license:apache-2.0",
"region:us"
] | 2023-01-24T08:29:45+00:00 | {"license": "apache-2.0"} | 2023-01-24T08:35:27+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] | |
a450ba4b1b6d2216c3674d3e576b2e85ce729add |
# Dataset Card for NusaX-Senti
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rat... | indonlp/NusaX-senti | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ace",
"language:ban",
"language:bjn",
"la... | 2023-01-24T09:28:21+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ace", "ban", "bjn", "bug", "en", "id", "jv", "mad", "min", "nij", "su", "bbc"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "t... | 2023-01-24T17:02:06+00:00 | [
"2205.15960"
] | [
"ace",
"ban",
"bjn",
"bug",
"en",
"id",
"jv",
"mad",
"min",
"nij",
"su",
"bbc"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Achinese #language-Balinese #language-Banjar #language-Buginese #language-... |
# Dataset Card for NusaX-Senti
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Considerations for Using the Data
- Social Impact of Dat... | [
"# Dataset Card for NusaX-Senti",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - S... | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Achinese #language-Balinese #language-Banjar #language-Buginese #lan... | [
167,
11,
96,
26,
113,
19,
88,
5,
61,
4,
39,
22,
5,
114,
41,
13,
8,
7,
26,
12,
5,
135,
16
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Achinese #language-Balinese #language-Banjar #language-Bugi... |
e3ee8eaae30a7e5d7fd343e82013bcdaf17116ce | # California Burned Areas Dataset
**Working on adding more data**
## Dataset Description
- **Paper:** [Pre-Print](https://arxiv.org/abs/2401.11519) and [Version of Record](https://ieeexplore.ieee.org/document/10261881)
### Dataset Summary
This dataset contains images from Sentinel-2 satellites taken before and aft... | DarthReca/california_burned_areas | [
"task_categories:image-segmentation",
"size_categories:n<1K",
"license:openrail",
"climate",
"arxiv:2401.11519",
"doi:10.57967/hf/0389",
"region:us"
] | 2023-01-24T10:31:47+00:00 | {"license": "openrail", "size_categories": ["n<1K"], "task_categories": ["image-segmentation"], "pretty_name": "California Burned Areas", "tags": ["climate"]} | 2024-01-23T09:41:05+00:00 | [
"2401.11519"
] | [] | TAGS
#task_categories-image-segmentation #size_categories-n<1K #license-openrail #climate #arxiv-2401.11519 #doi-10.57967/hf/0389 #region-us
| # California Burned Areas Dataset
Working on adding more data
## Dataset Description
- Paper: Pre-Print and Version of Record
### Dataset Summary
This dataset contains images from Sentinel-2 satellites taken before and after a wildfire.
The ground truth masks are provided by the California Department of Forestry ... | [
"# California Burned Areas Dataset\n\nWorking on adding more data",
"## Dataset Description\n\n- Paper: Pre-Print and Version of Record",
"### Dataset Summary\n\nThis dataset contains images from Sentinel-2 satellites taken before and after a wildfire. \nThe ground truth masks are provided by the California Dep... | [
"TAGS\n#task_categories-image-segmentation #size_categories-n<1K #license-openrail #climate #arxiv-2401.11519 #doi-10.57967/hf/0389 #region-us \n",
"# California Burned Areas Dataset\n\nWorking on adding more data",
"## Dataset Description\n\n- Paper: Pre-Print and Version of Record",
"### Dataset Summary\n\n... | [
59,
14,
15,
52,
28,
28,
71,
141,
95,
25,
34,
5,
54
] | [
"passage: TAGS\n#task_categories-image-segmentation #size_categories-n<1K #license-openrail #climate #arxiv-2401.11519 #doi-10.57967/hf/0389 #region-us \n# California Burned Areas Dataset\n\nWorking on adding more data## Dataset Description\n\n- Paper: Pre-Print and Version of Record### Dataset Summary\n\nThis data... |
71e465b80cb7e61e7237236283ab210ffda6b706 | # Dataset Card for NB Tale, module 1 and 2 (< 15 sec. segments)
## Dataset Description
- **Homepage:**
- **Repository:** <https://github.com/scribe-project/nodalida_2023_combined_training>
- **Paper:**
```
@inproceedings{
solberg2023improving,
title={Improving Generalization of Norwegian {ASR} with Limited Linguist... | scribe-project/nbtale12 | [
"region:us"
] | 2023-01-24T10:43:42+00:00 | {"dataset_info": {"features": [{"name": "speaker_id", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "utterance_id", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "raw_text", "dtype": "string"}, {"name": "full_audio_file", "dtype": "string"}, {"name": "original_data_split", ... | 2023-04-25T09:30:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for NB Tale, module 1 and 2 (< 15 sec. segments)
## Dataset Description
- Homepage:
- Repository: <URL
- Paper:
- Point of Contact: Per Erik Solberg
### Dataset Summary
This is the version of the Bokmål segments of module 1 and 2 of NB Tale used for testing the models
in the paper *Improving Gen... | [
"# Dataset Card for NB Tale, module 1 and 2 (< 15 sec. segments)",
"## Dataset Description\n\n- Homepage: \n- Repository: <URL\n- Paper:\n\n\n- Point of Contact: Per Erik Solberg",
"### Dataset Summary\n\nThis is the version of the Bokmål segments of module 1 and 2 of NB Tale used for testing the models \n in t... | [
"TAGS\n#region-us \n",
"# Dataset Card for NB Tale, module 1 and 2 (< 15 sec. segments)",
"## Dataset Description\n\n- Homepage: \n- Repository: <URL\n- Paper:\n\n\n- Point of Contact: Per Erik Solberg",
"### Dataset Summary\n\nThis is the version of the Bokmål segments of module 1 and 2 of NB Tale used for t... | [
6,
20,
26,
114,
7,
5,
23,
56,
7
] | [
"passage: TAGS\n#region-us \n# Dataset Card for NB Tale, module 1 and 2 (< 15 sec. segments)## Dataset Description\n\n- Homepage: \n- Repository: <URL\n- Paper:\n\n\n- Point of Contact: Per Erik Solberg### Dataset Summary\n\nThis is the version of the Bokmål segments of module 1 and 2 of NB Tale used for testing th... |
723b15939b1b6f0253404732b6192ebfadb33b29 | # Dataset Card for NB Tale, module 3 (< 15 sec. segments)
## Dataset Description
- **Homepage:**
- **Repository:** <https://github.com/scribe-project/nodalida_2023_combined_training>
- **Paper:**
```
@inproceedings{
solberg2023improving,
title={Improving Generalization of Norwegian {ASR} with Limited Linguistic Res... | scribe-project/nbtale3 | [
"region:us"
] | 2023-01-24T10:44:07+00:00 | {"dataset_info": {"features": [{"name": "speaker_id", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "utterance_id", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "raw_text", "dtype": "string"}, {"name": "full_audio_file", "dtype": "string"}, {"name": "original_data_split", ... | 2023-04-25T09:32:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for NB Tale, module 3 (< 15 sec. segments)
## Dataset Description
- Homepage:
- Repository: <URL
- Paper:
- Point of Contact: Per Erik Solberg
### Dataset Summary
This is the version of the Bokmål segments of module 3 of NB Tale used for testing the models
in the paper *Improving Generalization ... | [
"# Dataset Card for NB Tale, module 3 (< 15 sec. segments)",
"## Dataset Description\n\n- Homepage: \n- Repository: <URL\n- Paper:\n\n\n- Point of Contact: Per Erik Solberg",
"### Dataset Summary\n\nThis is the version of the Bokmål segments of module 3 of NB Tale used for testing the models \n in the paper *Im... | [
"TAGS\n#region-us \n",
"# Dataset Card for NB Tale, module 3 (< 15 sec. segments)",
"## Dataset Description\n\n- Homepage: \n- Repository: <URL\n- Paper:\n\n\n- Point of Contact: Per Erik Solberg",
"### Dataset Summary\n\nThis is the version of the Bokmål segments of module 3 of NB Tale used for testing the m... | [
6,
18,
26,
112,
7,
5,
23,
56,
7
] | [
"passage: TAGS\n#region-us \n# Dataset Card for NB Tale, module 3 (< 15 sec. segments)## Dataset Description\n\n- Homepage: \n- Repository: <URL\n- Paper:\n\n\n- Point of Contact: Per Erik Solberg### Dataset Summary\n\nThis is the version of the Bokmål segments of module 3 of NB Tale used for testing the models \n ... |
0c930e96cb7c548a40101f0462080bd27a5d38b5 | # Dataset Card for "AToMiC-Qrels-v0.2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TREC-AToMiC/AToMiC-Qrels-v0.2 | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T13:11:24+00:00 | {"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "text_id", "dtype": "string"}, {"name": "Q0", "dtype": "string"}, {"name": "image_id", "dtype": "string"}, {"name": "rel", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 789840, "num_examples": 9873}, {"name": "validation", "num_bytes": 14... | 2023-02-14T21:31:18+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| # Dataset Card for "AToMiC-Qrels-v0.2"
More Information needed | [
"# Dataset Card for \"AToMiC-Qrels-v0.2\"\n\nMore Information needed"
] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n",
"# Dataset Card for \"AToMiC-Qrels-v0.2\"\n\nMore Information needed"
] | [
17,
21
] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n# Dataset Card for \"AToMiC-Qrels-v0.2\"\n\nMore Information needed"
] |
0fb6736f06a9edabca384e5d8a08235701eab1c3 |
# Dataset Card for "relbert/nell"
## Dataset Description
- **Repository:** [https://github.com/xwhan/One-shot-Relational-Learning](https://github.com/xwhan/One-shot-Relational-Learning)
- **Paper:** [https://aclanthology.org/D18-1223/](https://aclanthology.org/D18-1223/)
- **Dataset:** Never Ending Language Learner (N... | relbert/nell | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
] | 2023-01-24T13:35:37+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "pretty_name": "relbert/nell"} | 2023-02-02T15:25:04+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/nell"
===============================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Dataset: Never Ending Language Learner (NELL) dataset for one-shot link prediction.
### Dataset Summary
This is NELL-ONE dataset for the few-shots link prediction proposed in ... | [
"### Dataset Summary\n\n\nThis is NELL-ONE dataset for the few-shots link prediction proposed in URL\nPlease see NELL paper to know more about the original dataset.\n\n\n* Number of instances\n\n\n\n* Number of pairs in each relation type\n\n\n\n* Number of entity types\n\n\n\nDataset Structure\n-----------------\n... | [
"TAGS\n#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us \n",
"### Dataset Summary\n\n\nThis is NELL-ONE dataset for the few-shots link prediction proposed in URL\nPlease see NELL paper to know more about the original dataset.\n\n\n* Number of instances\n\n\n\n* Number... | [
33,
78
] | [
"passage: TAGS\n#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us \n### Dataset Summary\n\n\nThis is NELL-ONE dataset for the few-shots link prediction proposed in URL\nPlease see NELL paper to know more about the original dataset.\n\n\n* Number of instances\n\n\n\n* Num... |
f13fba1ee71663a99c369a02501663d773e751c8 | # Dataset Card for "yannic_ada_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juancopi81/yannic_ada_embeddings | [
"region:us"
] | 2023-01-24T13:45:56+00:00 | {"dataset_info": {"features": [{"name": "TITLE", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "transcription_length", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "ada_embedding", "dtype": "string"}], "splits": [{"name": "train", "num... | 2023-01-24T13:46:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "yannic_ada_embeddings"
More Information needed | [
"# Dataset Card for \"yannic_ada_embeddings\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"yannic_ada_embeddings\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"yannic_ada_embeddings\"\n\nMore Information needed"
] |
bdd59e10860746202dfdc452e0ac3a9eaa25268d | # The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
- Original Paper and Dataset [here](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T)
- Kaggle dataset [here](https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000... | marmal88/skin_cancer | [
"task_categories:image-classification",
"task_categories:image-segmentation",
"size_categories:1K<n<10K",
"language:en",
"skin_cancer",
"HAM10000",
"region:us"
] | 2023-01-24T13:53:28+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["image-classification", "image-segmentation"], "pretty_name": "HAM10000", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "string"}, {"name": "lesion_id", "dtype": "string"}, {"name": "dx", "dtype"... | 2023-01-25T02:21:28+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #task_categories-image-segmentation #size_categories-1K<n<10K #language-English #skin_cancer #HAM10000 #region-us
| # The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
- Original Paper and Dataset here
- Kaggle dataset here
# Introduction to datasets
Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of di... | [
"# The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions\n\n- Original Paper and Dataset here\n- Kaggle dataset here",
"# Introduction to datasets\nTraining of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size a... | [
"TAGS\n#task_categories-image-classification #task_categories-image-segmentation #size_categories-1K<n<10K #language-English #skin_cancer #HAM10000 #region-us \n",
"# The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions\n\n- Original Paper and Dataset here... | [
53,
39,
397,
80
] | [
"passage: TAGS\n#task_categories-image-classification #task_categories-image-segmentation #size_categories-1K<n<10K #language-English #skin_cancer #HAM10000 #region-us \n# The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions\n\n- Original Paper and Dataset h... |
36b558057afaa3643872d44ccf35a9a8c0e7d57f | SQUAD dataset with incorrect answers options generated with a T5-base fine-tuned on multiqad-200k dataset | b-yukky/squad-augmented-hq | [
"region:us"
] | 2023-01-24T14:23:57+00:00 | {} | 2023-01-30T04:15:35+00:00 | [] | [] | TAGS
#region-us
| SQUAD dataset with incorrect answers options generated with a T5-base fine-tuned on multiqad-200k dataset | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
37a77001f48db65c0322b3bab6d78f27abd96856 |
# Dataset Card for DBLP-QuAD
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | awalesushil/DBLP-QuAD | [
"task_categories:question-answering",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"knowledge-base-qa",
"region:us"
] | 2023-01-24T15:04:12+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": [], "pretty_name": "DBLP-Q... | 2023-02-15T17:32:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #annotations_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #knowledge-base-qa #region-us
|
# Dataset Card for DBLP-QuAD
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Inf... | [
"# Dataset Card for DBLP-QuAD",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Perso... | [
"TAGS\n#task_categories-question-answering #annotations_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #knowledge-base-qa #region-us \n",
"# Dataset Card for DBLP-QuAD",
"## Tabl... | [
90,
10,
120,
64,
62,
6,
15,
162,
23,
5,
30,
18
] | [
"passage: TAGS\n#task_categories-question-answering #annotations_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #knowledge-base-qa #region-us \n# Dataset Card for DBLP-QuAD## Table o... |
b3662175d3b2482d711f18559b7acc2a5bccc600 |
## Loading the dataset with a specific configuration
There are 3 different OCR versions to choose from with their original format or standardized DUE format, as well as the option to load the documents as filepaths or as binaries (PDF).
To load a specific configuration, pass a config from one of the following:
```p... | jordyvl/DUDE_loader | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-01-24T15:20:01+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "pretty_name": "DUDE"} | 2023-10-03T09:54:36+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us
|
## Loading the dataset with a specific configuration
There are 3 different OCR versions to choose from with their original format or standardized DUE format, as well as the option to load the documents as filepaths or as binaries (PDF).
To load a specific configuration, pass a config from one of the following:
Lo... | [
"## Loading the dataset with a specific configuration\n\nThere are 3 different OCR versions to choose from with their original format or standardized DUE format, as well as the option to load the documents as filepaths or as binaries (PDF).\nTo load a specific configuration, pass a config from one of the following:... | [
"TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us \n",
"## Loading the dataset with a specific configuration\n\nThere are 3 different OCR versions to choose from with their original format or standardized DUE format, as well as the option to loa... | [
43,
285
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us \n## Loading the dataset with a specific configuration\n\nThere are 3 different OCR versions to choose from with their original format or standardized DUE format, as well as the option to ... |
2a2b792e3d85d053a9b9d1123411fc85c491ed47 | # Dataset Card for "PickaPic-random-prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/PickaPic-random-prompts | [
"region:us"
] | 2023-01-24T15:27:44+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9702, "num_examples": 200}], "download_size": 8488, "dataset_size": 9702}} | 2023-01-24T15:27:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PickaPic-random-prompts"
More Information needed | [
"# Dataset Card for \"PickaPic-random-prompts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"PickaPic-random-prompts\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"PickaPic-random-prompts\"\n\nMore Information needed"
] |
457eb6f6d134d340b93eeed4374b224928a870e8 | # Dataset Card for "runwayml-stable-diffusion-v1-5-eval-random-prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/runwayml-stable-diffusion-v1-5-eval-random-prompts | [
"region:us"
] | 2023-01-24T15:37:11+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32392, "num_examples": 200}], "download_size": 11291, "dataset_size": 32392}} | 2023-01-24T15:37:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "runwayml-stable-diffusion-v1-5-eval-random-prompts"
More Information needed | [
"# Dataset Card for \"runwayml-stable-diffusion-v1-5-eval-random-prompts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"runwayml-stable-diffusion-v1-5-eval-random-prompts\"\n\nMore Information needed"
] | [
6,
33
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"runwayml-stable-diffusion-v1-5-eval-random-prompts\"\n\nMore Information needed"
] |
f017f3fb62da2088f7dd13669c7dbf3b81e77272 | # Dataset Card for "julioprofe"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juancopi81/julioprofe | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"medium",
"region:us"
] | 2023-01-24T15:38:53+00:00 | {"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TITLE", "dtype": "string"}, {"name": "DESCRIPTION", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "SEGMENTS", "dtype... | 2023-02-11T23:31:32+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us
| # Dataset Card for "julioprofe"
More Information needed | [
"# Dataset Card for \"julioprofe\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us \n",
"# Dataset Card for \"julioprofe\"\n\nMore Information needed"
] | [
34,
13
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #medium #region-us \n# Dataset Card for \"julioprofe\"\n\nMore Information needed"
] |
59db562a3f9702050bc3ea050528607a38fac89d |
# LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
A collaboration between [reciTAL](https://recital.ai/en/), [MLIA](https://mlia.lip6.fr/) (ISIR, Sorbonne Université), [Meta AI](https://ai.facebook.com/), and [Università di Trento](https://www.unitn.it/)
## PubMed-Lay da... | nglaura/pubmedlay-summarization | [
"task_categories:summarization",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-01-24T15:46:55+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["summarization"], "pretty_name": "PubMed-Lay"} | 2023-04-11T09:10:19+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #language-English #license-apache-2.0 #region-us
| LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
============================================================================================
A collaboration between reciTAL, MLIA (ISIR, Sorbonne Université), Meta AI, and Università di Trento
PubMed-Lay dataset for summar... | [
"### Data Fields\n\n\n* 'article\\_id': article id\n* 'article\\_words': sequence of words constituting the body of the article\n* 'article\\_bboxes': sequence of corresponding word bounding boxes\n* 'norm\\_article\\_bboxes': sequence of corresponding normalized word bounding boxes\n* 'abstract': a string containi... | [
"TAGS\n#task_categories-summarization #language-English #license-apache-2.0 #region-us \n",
"### Data Fields\n\n\n* 'article\\_id': article id\n* 'article\\_words': sequence of words constituting the body of the article\n* 'article\\_bboxes': sequence of corresponding word bounding boxes\n* 'norm\\_article\\_bbox... | [
28,
117,
29
] | [
"passage: TAGS\n#task_categories-summarization #language-English #license-apache-2.0 #region-us \n### Data Fields\n\n\n* 'article\\_id': article id\n* 'article\\_words': sequence of words constituting the body of the article\n* 'article\\_bboxes': sequence of corresponding word bounding boxes\n* 'norm\\_article\\_b... |
43ff36807a2d8d082de5198418a235cd9d7871a6 | # Dataset Card for "utd_reddit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rami/utd_reddit | [
"region:us"
] | 2023-01-24T16:31:10+00:00 | {"dataset_info": {"features": [{"name": "j52edo", "struct": [{"name": "title", "dtype": "string"}, {"name": "selftext", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "num_comments", "dtype": "int64"}, {"name": "permalink", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "comments"... | 2023-01-24T16:57:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "utd_reddit"
More Information needed | [
"# Dataset Card for \"utd_reddit\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"utd_reddit\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"utd_reddit\"\n\nMore Information needed"
] |
05230cc51e502fad9ffc2349fbe777d84ff30569 |
# Dataset Card for Dataset Name
## Dataset Description
- **Repository: [Self-Instruct](https://github.com/yizhongw/self-instruct)**
- **Paper: [Self-Instruct: Aligning Language Model with Self Generated Instructions](https://arxiv.org/abs/2212.10560)**
### Dataset Summary
This dataset is a copy of yizhongw's dat... | eastwind/self-instruct-base | [
"license:apache-2.0",
"arxiv:2212.10560",
"region:us"
] | 2023-01-24T16:58:51+00:00 | {"license": "apache-2.0"} | 2023-01-24T17:44:49+00:00 | [
"2212.10560"
] | [] | TAGS
#license-apache-2.0 #arxiv-2212.10560 #region-us
|
# Dataset Card for Dataset Name
## Dataset Description
- Repository: Self-Instruct
- Paper: Self-Instruct: Aligning Language Model with Self Generated Instructions
### Dataset Summary
This dataset is a copy of yizhongw's data from the github above, note this was created on 24th Jan 2023.
## Dataset Structure
GP... | [
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Repository: Self-Instruct \n- Paper: Self-Instruct: Aligning Language Model with Self Generated Instructions",
"### Dataset Summary\n\nThis dataset is a copy of yizhongw's data from the github above, note this was created on 24th Jan 2023.",
"## ... | [
"TAGS\n#license-apache-2.0 #arxiv-2212.10560 #region-us \n",
"# Dataset Card for Dataset Name",
"## Dataset Description\n\n- Repository: Self-Instruct \n- Paper: Self-Instruct: Aligning Language Model with Self Generated Instructions",
"### Dataset Summary\n\nThis dataset is a copy of yizhongw's data from the... | [
23,
8,
33,
36,
21,
38,
8,
5,
25,
18,
10,
28
] | [
"passage: TAGS\n#license-apache-2.0 #arxiv-2212.10560 #region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Repository: Self-Instruct \n- Paper: Self-Instruct: Aligning Language Model with Self Generated Instructions### Dataset Summary\n\nThis dataset is a copy of yizhongw's data from the github a... |
1d5773ce7f66782a89a6439a81261c84c298e2a3 |
# Dataset Card for NusaX-MT
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-ration... | indonlp/NusaX-MT | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ace",
"language:ban",
"language:bjn",
"language:bug",
"language:en",
"language:id",
... | 2023-01-24T17:05:31+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ace", "ban", "bjn", "bug", "en", "id", "jv", "mad", "min", "nij", "su", "bbc"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "t... | 2023-01-24T17:21:03+00:00 | [
"2205.15960"
] | [
"ace",
"ban",
"bjn",
"bug",
"en",
"id",
"jv",
"mad",
"min",
"nij",
"su",
"bbc"
] | TAGS
#task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Achinese #language-Balinese #language-Banjar #language-Buginese #language-English #language-Indonesian #language-Java... |
# Dataset Card for NusaX-MT
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Considerations for Using the Data
- Social Impact of Datase... | [
"# Dataset Card for NusaX-MT",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Soci... | [
"TAGS\n#task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Achinese #language-Balinese #language-Banjar #language-Buginese #language-English #language-Indonesian #languag... | [
154,
10,
96,
26,
130,
18,
96,
5,
61,
4,
42,
22,
5,
114,
41,
13,
8,
7,
26,
12,
5,
135,
16
] | [
"passage: TAGS\n#task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Achinese #language-Balinese #language-Banjar #language-Buginese #language-English #language-Indonesian... |
0226c3b54722d272ae56448c4a3f9387d463a7ec | # Dataset Card for "stabilityai-stable-diffusion-2-1-eval-random-prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/stabilityai-stable-diffusion-2-1-eval-random-prompts | [
"region:us"
] | 2023-01-24T17:06:03+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32792, "num_examples": 200}], "download_size": 11301, "dataset_size": 32792}} | 2023-01-24T17:06:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "stabilityai-stable-diffusion-2-1-eval-random-prompts"
More Information needed | [
"# Dataset Card for \"stabilityai-stable-diffusion-2-1-eval-random-prompts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"stabilityai-stable-diffusion-2-1-eval-random-prompts\"\n\nMore Information needed"
] | [
6,
32
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"stabilityai-stable-diffusion-2-1-eval-random-prompts\"\n\nMore Information needed"
] |
7867be796849bb70003075b3932083102dd1c4e0 | # Dataset Card for "pile-tokenized-10b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NeelNanda/pile-tokenized-10b | [
"region:us"
] | 2023-01-24T17:14:07+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "uint16"}], "splits": [{"name": "train", "num_bytes": 22153340700, "num_examples": 10795975}], "download_size": 19746448291, "dataset_size": 22153340700}} | 2023-01-24T20:52:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pile-tokenized-10b"
More Information needed | [
"# Dataset Card for \"pile-tokenized-10b\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pile-tokenized-10b\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"pile-tokenized-10b\"\n\nMore Information needed"
] |
eda848e5bd7df7a2e50e46886e20c9df8f70ab8e |
# Chinese Metaphor Corpus (CMC)
## Dataset Description
- **Homepage:** https://github.com/liyucheng09/Metaphor_Generator
- **Repository:** https://github.com/liyucheng09/Metaphor_Generator
- **Paper:** CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling
- **Leaderboard:**
- **... | liyucheng/chinese_metaphor_dataset | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:zh",
"license:cc-by-nc-sa-4.0",
"metaphor",
"figurative language",
"region:us"
] | 2023-01-24T17:16:26+00:00 | {"language": ["zh"], "license": "cc-by-nc-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"], "pretty_name": "CMC", "tags": ["metaphor", "figurative language"]} | 2023-07-06T19:29:33+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #license-cc-by-nc-sa-4.0 #metaphor #figurative language #region-us
|
# Chinese Metaphor Corpus (CMC)
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling
- Leaderboard:
- Point of Contact: liyucheng09@URL
### Dataset Summary
The first Chinese metaphor corpus serving both metapho... | [
"# Chinese Metaphor Corpus (CMC)",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling\n- Leaderboard: \n- Point of Contact: liyucheng09@URL",
"### Dataset Summary\n\nThe first Chinese metaphor corpus ... | [
"TAGS\n#task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #license-cc-by-nc-sa-4.0 #metaphor #figurative language #region-us \n",
"# Chinese Metaphor Corpus (CMC)",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: CM-Gen: A Neural Framework for Chinese Metaphor G... | [
54,
9,
53,
96,
5
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-1K<n<10K #language-Chinese #license-cc-by-nc-sa-4.0 #metaphor #figurative language #region-us \n# Chinese Metaphor Corpus (CMC)## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: CM-Gen: A Neural Framework for Chinese Metaphor Gene... |
3adfe5ce52bb8d547d2f0b54a687810d9422880e | # Dataset Card for "es_hate_speech"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pysentimiento/es_hate_speech | [
"region:us"
] | 2023-01-24T17:53:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "HS", "dtype": {"class_label": {"names": {"0": "OK", "1": "HATEFUL"}}}}, {"name": "TR", "dtype": {"class_label": {"names": {"0": "GROUP", "1": "INDIVIDUAL"}}}}, {"name": "AG", "dtype": {"class_label": {"names"... | 2023-01-24T17:53:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "es_hate_speech"
More Information needed | [
"# Dataset Card for \"es_hate_speech\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"es_hate_speech\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"es_hate_speech\"\n\nMore Information needed"
] |
2fd28ca55e93f20a16394e6cc4c7761d6d758164 | # Dataset Card for "es_sentiment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pysentimiento/es_sentiment | [
"region:us"
] | 2023-01-24T17:54:20+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "neg", "1": "neu", "2": "pos"}}}}], "splits": [{"name": "dev", "num_bytes": 273826, "num_examples": 2443}, {"name": "test", "num_bytes": 747378, "num_exampl... | 2023-01-24T17:54:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "es_sentiment"
More Information needed | [
"# Dataset Card for \"es_sentiment\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"es_sentiment\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"es_sentiment\"\n\nMore Information needed"
] |
e821c725fd2fd66186f4b19b6e3628091cbb921b | # Dataset Card for "academia2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | juancopi81/academia2 | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"base",
"region:us"
] | 2023-01-24T18:34:54+00:00 | {"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TITLE", "dtype": "string"}, {"name": "DESCRIPTION", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "SEGMENTS", "dtype... | 2023-01-25T16:11:01+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #whisper #whispering #base #region-us
| # Dataset Card for "academia2"
More Information needed | [
"# Dataset Card for \"academia2\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #base #region-us \n",
"# Dataset Card for \"academia2\"\n\nMore Information needed"
] | [
33,
14
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #base #region-us \n# Dataset Card for \"academia2\"\n\nMore Information needed"
] |
fc9bcda0640617e6baa6946071f424beedc4f922 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/nfcorpus-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T18:57:21+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:18:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
0fb93dd23a7339b6dcd27e241cb9b5eca62d4d18 |
Original dataset introduced by Jin et al. in [What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams](https://paperswithcode.com/paper/what-disease-does-this-patient-have-a-large)
<h4>Citation information:</h4>
@article{jin2020disease,
title={What Disea... | GBaker/MedQA-USMLE-4-options | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-01-24T19:08:56+00:00 | {"language": ["en"], "license": "cc-by-4.0"} | 2023-01-24T19:18:09+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #region-us
|
Original dataset introduced by Jin et al. in What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
<h4>Citation information:</h4>
@article{jin2020disease,
title={What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset ... | [] | [
"TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
] |
b13bd7ebd4a08ec3385b0d6e3df6da8b94449949 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/fiqa-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:21:16+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:21:20+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
ead875e08787c559c82fc4f9b09810f5492140e8 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/scifact-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:21:39+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:21:40+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
e7cbffa3aa5cbe6613fc7d81d0d823cf87d69b19 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/trec-news-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:22:47+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:23:15+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
d3fd37c14bb6cf5886688e2c871ee6600bf8c353 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/robust04-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:23:26+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:23:50+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
cb4c02768580fc18b4f6968a9dde08d31a39183f | # Dataset Card for "PickaPic-ft-ranked"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/PickaPic-ft-ranked | [
"region:us"
] | 2023-01-24T19:24:08+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1546519335.752, "num_examples": 3748}, {"name": "validation",... | 2023-01-26T06:49:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PickaPic-ft-ranked"
More Information needed | [
"# Dataset Card for \"PickaPic-ft-ranked\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"PickaPic-ft-ranked\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"PickaPic-ft-ranked\"\n\nMore Information needed"
] |
6adc54411f0c00683ecfad33eb21b912cd50933d |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/scidocs-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:26:50+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:26:52+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
f46d2212247b77aed6d05ecfcecadfaedc75f8bb |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/arguana-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:26:57+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:26:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
d69c13f113c079cd2777c9260e8d054ac4041977 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/trec-covid-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:27:07+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:27:17+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
a0ee7b8ac5d3d7397d21d458d8aec81f49d79df8 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/quora-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:27:55+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:28:14+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
cbe7a3a74261624564c24615aba58b10ec7f1a1b |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/webis-touche2020-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:29:28+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:29:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
aac925e88256b223e413a1088489adfd0915c7a3 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/hotpotqa-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:29:51+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:31:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
7f2b2d3356af939381bf3798f5be97c3bbaa56bc | # Dataset Card for "oxford_pets_with_l14_emb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Isamu136/oxford_pets_with_l14_emb | [
"region:us"
] | 2023-01-24T19:30:19+00:00 | {"dataset_info": {"features": [{"name": "path", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "dog", "dtype": "bool"}, {"name": "image", "dtype": "image"}, {"name": "embeddings", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 257189204.25, "num_examples": 7390}], "download_size"... | 2023-01-24T19:30:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oxford_pets_with_l14_emb"
More Information needed | [
"# Dataset Card for \"oxford_pets_with_l14_emb\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"oxford_pets_with_l14_emb\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"oxford_pets_with_l14_emb\"\n\nMore Information needed"
] |
5cf16c02f47d75a50a93b9b641fefd7845e96cc2 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/dbpedia-entity-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:32:09+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:34:05+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
77c321dc940a437b5f8e06486f708b421ce4f75d |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/fever-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:36:21+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:38:47+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
0c838bb2f062e54c2f1f91b3c3691270f03c3446 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/climate-fever-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:39:40+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:42:05+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
56a8a7fc3e8ab80e8bde4c905c3eaf329cecf174 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/signal1m-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:42:23+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:44:12+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
3a0447e841f716d4c696864c9890faa84ae4d58e |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/nq-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:45:03+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:46:36+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
41,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
201,
183,
61,
331,
17,
16,
85,
65,
97,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
10,
18
] | [
"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.