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728347616c9dcc1522c1ed77a23918ead993cafe |
# Dataset of laffey (Azur Lane)
This is the dataset of laffey (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co... | AppleHarem/laffey_azurlane | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-24T15:24:24+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-24T15:24:37+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of laffey (Azur Lane)
=============================
This is the dataset of laffey (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleAppleWebUI)
| [] | [
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695fcc8905f6fe28b649be0d912ae4c24efb6022 | # Dataset Card for "MF_reg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lhallee/MF_reg | [
"region:us"
] | 2023-11-24T15:27:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "seqs", "dtype": "string"}, {"name": "labels", "dtype": "string"}], "splits": [{"name": "trai... | 2023-11-24T15:27:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MF_reg"
More Information needed | [
"# Dataset Card for \"MF_reg\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MF_reg\"\n\nMore Information needed"
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971c5549c9dea1f907768fb73dd5121e2bbc82e1 |
# MaralGPT dataset v0.1
This is an alpaca-styled dataset, but our data format is now like the model _zephyr_. | MaralGPT/maralgpt-dataset-v0-1 | [
"license:mit",
"region:us"
] | 2023-11-24T15:30:28+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 50332815, "num_examples": 35117}], "download_size": 22605931, "dataset_size": 50332815}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-24T15:33:30+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# MaralGPT dataset v0.1
This is an alpaca-styled dataset, but our data format is now like the model _zephyr_. | [
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23ad3109bac95849a305b37d99f73780f6b7541c |
# Dataset Card for CA-PT Parallel Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Splits](#data-instances)
- [Datas... | projecte-aina/CA-PT_Parallel_Corpus | [
"task_categories:translation",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:ca",
"language:pt",
"language:multilingual",
"region:us"
] | 2023-11-24T15:40:36+00:00 | {"language": ["ca", "pt", "multilingual"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "CA-PT Parallel Corpus"} | 2024-01-17T13:49:29+00:00 | [] | [
"ca",
"pt",
"multilingual"
] | TAGS
#task_categories-translation #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Catalan #language-Portuguese #language-multilingual #region-us
| Dataset Card for CA-PT Parallel Corpus
======================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Splits
* Dataset Creation
+ Source Data
+ Data preparation
+ Personal and Sensitive Information
* ... | [
"### Dataset Summary\n\n\nThe CA-PT Parallel Corpus is a Catalan-Portuguese dataset of 9.892.953 parallel sentences. The dataset was created to support Catalan NLP tasks, e.g.,\nMachine Translation.",
"### Supported Tasks and Leaderboards\n\n\nThe dataset can be used to train a model for Multilingual Machine Tran... | [
"TAGS\n#task_categories-translation #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Catalan #language-Portuguese #language-multilingual #region-us \n",
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b34bc6c5dccf56f5886c6654c9b224de8a3f032e | # Dataset Card for "vsums_enq_batch_2_uniform_sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Xapien/vsums_enq_batch_2_uniform_sample | [
"region:us"
] | 2023-11-24T15:56:41+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "subject_A", "dtype": "string"}, {"name": "entity_sourcetext_A", "dtype": "string"}, {"name": "entity_fingerprint_A", "dtype": "string"}, {"name": "DRE_A", "dtype": "string"}, {"name": "embedding_A", "dtype": "string"}, {"name": "new_enti... | 2023-11-24T15:56:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vsums_enq_batch_2_uniform_sample"
More Information needed | [
"# Dataset Card for \"vsums_enq_batch_2_uniform_sample\"\n\nMore Information needed"
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04a6b62ea4e7a8e197818cf9ae6a3d8e64f432b0 |
# UA-GEC instruction tuning
This dataset contains prompts and expected outputs for the grammatical error
correction task in the Ukrainian language. It is based on the
CC-BY-4.0-licensed [UA-GEC](https://github.com/grammarly/ua-gec) dataset. The
license of the original data is CC-BY-4.0.
This dataset contains 1,700 e... | osyvokon/ua_gec_instruction_tuning | [
"size_categories:10K<n<100K",
"language:uk",
"license:cc-by-4.0",
"region:us"
] | 2023-11-24T16:14:18+00:00 | {"language": ["uk"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"]} | 2024-02-02T11:25:34+00:00 | [] | [
"uk"
] | TAGS
#size_categories-10K<n<100K #language-Ukrainian #license-cc-by-4.0 #region-us
| UA-GEC instruction tuning
=========================
This dataset contains prompts and expected outputs for the grammatical error
correction task in the Ukrainian language. It is based on the
CC-BY-4.0-licensed UA-GEC dataset. The
license of the original data is CC-BY-4.0.
This dataset contains 1,700 examples of fix... | [] | [
"TAGS\n#size_categories-10K<n<100K #language-Ukrainian #license-cc-by-4.0 #region-us \n"
] | [
34
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"passage: TAGS\n#size_categories-10K<n<100K #language-Ukrainian #license-cc-by-4.0 #region-us \n"
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05876b3716c279ec9e5bffed2c11a601255003c8 | # Dataset Card for "mswc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | confit/mswc | [
"region:us"
] | 2023-11-24T16:33:13+00:00 | {"configs": [{"config_name": "eng", "data_files": [{"split": "train", "path": "eng/train-*"}, {"split": "validation", "path": "eng/validation-*"}, {"split": "test", "path": "eng/test-*"}]}, {"config_name": "ind", "data_files": [{"split": "train", "path": "ind/train-*"}, {"split": "validation", "path": "ind/validation-*... | 2023-11-24T17:05:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mswc"
More Information needed | [
"# Dataset Card for \"mswc\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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e809543f14927ad49261b72cedcf85bdc4d4d271 |
# Dataset Card for textclass_descriptives_vectors
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `dataset... | nataliaElv/textclass_descriptives_vectors | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | 2023-11-24T16:35:32+00:00 | {"size_categories": "1K<n<10K", "tags": ["rlfh", "argilla", "human-feedback"]} | 2023-11-24T16:35:34+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for textclass\_descriptives\_vectors
=================================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datase... | [
"### Dataset Summary\n\n\nThis dataset contains:\n\n\n* A dataset configuration file conforming to the Argilla dataset format named 'URL'. This configuration file will be used to configure the dataset when using the 'FeedbackDataset.from\\_huggingface' method in Argilla.\n* Dataset records in a format compatible wi... | [
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20265763dc7ec85d86e5915941c654035eebe68a | # Dataset Card for "897fa162"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | result-kand2-sdxl-wuerst-karlo/897fa162 | [
"region:us"
] | 2023-11-24T16:46:42+00:00 | {"dataset_info": {"features": [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 226, "num_examples": 10}], "download_size": 1465, "dataset_size": 226}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-24T16:46:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "897fa162"
More Information needed | [
"# Dataset Card for \"897fa162\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"897fa162\"\n\nMore Information needed"
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902ec1a19d3380f80a2393b56aaead7c8f59b390 | # Dataset Card for "emodb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | confit/emodb | [
"region:us"
] | 2023-11-24T17:01:25+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "anxiety", "1": "disgust", "2": "happiness", "... | 2023-11-24T18:25:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emodb"
More Information needed | [
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55bda0e57bb200dc6c8becf9cb2efbf09eadcbd3 | # My Dataset readme | ronanarraig/sample_dataset | [
"region:us"
] | 2023-11-24T17:28:09+00:00 | {"extra_gated_prompt": "Purchase access to this repo [HERE](https://buy.stripe.com/dR616I1mo99D6pabII)"} | 2023-11-27T19:19:16+00:00 | [] | [] | TAGS
#region-us
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"passage: TAGS\n#region-us \n# My Dataset readme"
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c6e955cc0e47537565b5f02e0e70aad70ca2afff | # Dataset Card for "sdu_es_hf_top2vec"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/sdu_es_hf_top2vec | [
"region:us"
] | 2023-11-24T18:15:26+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "dev", "path": "data/dev-*"}]}], "dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "acronym", "dtype": "string"}, {"name": "ID", "dtype": "string"}, {"name": "label", "dtype": "stri... | 2023-11-24T18:15:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sdu_es_hf_top2vec"
More Information needed | [
"# Dataset Card for \"sdu_es_hf_top2vec\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"sdu_es_hf_top2vec\"\n\nMore Information needed"
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0dd14a47fd4e4126cf7c2c429785b683594e22b6 | ## A small datasets of Lego Sets with BLIP-2 Generated Captions
This can be used to fine-tune SDXL with data-efficient fine-tuning techniques like DreamBooth.
Example image 👇

| merve/lego_sets_latest | [
"task_categories:text-to-image",
"license:apache-2.0",
"region:us"
] | 2023-11-24T18:24:52+00:00 | {"license": "apache-2.0", "task_categories": ["text-to-image"]} | 2024-01-06T12:36:27+00:00 | [] | [] | TAGS
#task_categories-text-to-image #license-apache-2.0 #region-us
| ## A small datasets of Lego Sets with BLIP-2 Generated Captions
This can be used to fine-tune SDXL with data-efficient fine-tuning techniques like DreamBooth.
Example image
!image/png
| [
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] |
adf55b4905e7d2e6caea03f7425f262edfb967a5 |
# Dataset of serina (Blue Archive)
This is the dataset of serina (Blue Archive), containing 194 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingf... | AppleHarem/serina_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-24T19:06:02+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-24T19:06:20+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of serina (Blue Archive)
================================
This is the dataset of serina (Blue Archive), containing 194 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleAppleWeb... | [] | [
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] | [
44
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970f3a444b1a5414f4af967fb2994347192d48fb |
# 🌈Ko-various-dataset
- [kyujinpy/KOR-OpenOrca-Platypus-v3](https://huggingface.co/datasets/kyujinpy/KOR-OpenOrca-Platypus-v3) 포함.
- 추가적으로, [skt/kobest_v1](https://huggingface.co/datasets/skt/kobest_v1) 데이터셋 중 `COPA`와 `Hellaswag`를 [adaptLLM](https://huggingface.co/AdaptLLM)의 논문을 참고하여서 instruction-output dataset으로 ... | kyujinpy/Ko-various-dataset | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-11-24T19:33:35+00:00 | {"license": "cc-by-nc-sa-4.0", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "... | 2023-11-26T15:51:57+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
# Ko-various-dataset
- kyujinpy/KOR-OpenOrca-Platypus-v3 포함.
- 추가적으로, skt/kobest_v1 데이터셋 중 'COPA'와 'Hellaswag'를 adaptLLM의 논문을 참고하여서 instruction-output dataset으로 만들어서 추가함.
- 데이터셋 이용하셔서 모델이나 데이터셋을 만드실 때, 간단한 출처 표기를 해주신다면 연구에 큰 도움이 됩니다
# 전처리
- 위의 정규표현식을 이용하여, 한국어 및 영어를 제외한 다양한 외국어, 이모지, 특수 문자 등등 제거.
- Output 답변이... | [
"# Ko-various-dataset\n\n- kyujinpy/KOR-OpenOrca-Platypus-v3 포함. \n- 추가적으로, skt/kobest_v1 데이터셋 중 'COPA'와 'Hellaswag'를 adaptLLM의 논문을 참고하여서 instruction-output dataset으로 만들어서 추가함. \n- 데이터셋 이용하셔서 모델이나 데이터셋을 만드실 때, 간단한 출처 표기를 해주신다면 연구에 큰 도움이 됩니다",
"# 전처리\n \n- 위의 정규표현식을 이용하여, 한국어 및 영어를 제외한 다양한 외국어, 이모지, 특수 문자 등등 제거... | [
"TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n",
"# Ko-various-dataset\n\n- kyujinpy/KOR-OpenOrca-Platypus-v3 포함. \n- 추가적으로, skt/kobest_v1 데이터셋 중 'COPA'와 'Hellaswag'를 adaptLLM의 논문을 참고하여서 instruction-output dataset으로 만들어서 추가함. \n- 데이터셋 이용하셔서 모델이나 데이터셋을 만드실 때, 간단한 출처 표기를 해주신다면 연구에 큰 도움이 됩니다",
"# 전처리\n \n- 위의 정규... | [
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"passage: TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n# Ko-various-dataset\n\n- kyujinpy/KOR-OpenOrca-Platypus-v3 포함. \n- 추가적으로, skt/kobest_v1 데이터셋 중 'COPA'와 'Hellaswag'를 adaptLLM의 논문을 참고하여서 instruction-output dataset으로 만들어서 추가함. \n- 데이터셋 이용하셔서 모델이나 데이터셋을 만드실 때, 간단한 출처 표기를 해주신다면 연구에 큰 도움이 됩니다# 전처리\n \n- 위의 정규표현식... |
726998fc7e3e7994ccf2fb00d8a5943481d3ea40 |
## Proverbot Scrapes
Here we include a dump of proofs in coq-gym using the proverbot9001 tool. | brando/Coq-Gym-Data-Set | [
"license:apache-2.0",
"region:us"
] | 2023-11-24T19:41:52+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "relevant_lemmas", "sequence": "string"}, {"name": "prev_tactics", "sequence": "string"}, {"name": "context", "struct": [{"name": "bg_goals", "list": [{"name": "goal", "dtype": "string"}, {"name": "hypotheses", "sequence": "string"}]}, {"name": "fg_goals"... | 2023-12-05T06:09:09+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
## Proverbot Scrapes
Here we include a dump of proofs in coq-gym using the proverbot9001 tool. | [
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231a0b42dced4406d74b70393bbfe02ca5847c7c | # Dataset Card for Dataset Name
The Foundation Model Transparency Index is an ongoing initiative of the CRFM to comprehensively assess the transparency of foundation model developers.
- **Created by:** Center for Research on Foundation Models
- **License:** [Creative Commons Attribution 4.0 International](https://git... | mariagrandury/fmti-indicators | [
"size_categories:n<1K",
"language:en",
"license:cc-by-4.0",
"arxiv:2310.12941",
"region:us"
] | 2023-11-24T20:10:25+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["n<1K"], "pretty_name": "The Foundation Model Transparency Index"} | 2023-11-24T20:36:33+00:00 | [
"2310.12941"
] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #license-cc-by-4.0 #arxiv-2310.12941 #region-us
| # Dataset Card for Dataset Name
The Foundation Model Transparency Index is an ongoing initiative of the CRFM to comprehensively assess the transparency of foundation model developers.
- Created by: Center for Research on Foundation Models
- License: Creative Commons Attribution 4.0 International
## Dataset Sources
... | [
"# Dataset Card for Dataset Name\n\nThe Foundation Model Transparency Index is an ongoing initiative of the CRFM to comprehensively assess the transparency of foundation model developers.\n\n- Created by: Center for Research on Foundation Models\n- License: Creative Commons Attribution 4.0 International",
"## Dat... | [
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19e33fab2cf9a2b4285436f50436b2eae1d9eac1 |
# Dataset of le_malin (Azur Lane)
This is the dataset of le_malin (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingfac... | AppleHarem/le_malin_azurlane | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-24T20:31:19+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-24T20:31:39+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of le\_malin (Azur Lane)
================================
This is the dataset of le\_malin (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleAppleWeb... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
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"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
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6156d68ead03eaa0dccf71b0f172f19923e870f9 | # Dataset Card for "latent-trees-agreement-ID"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | michaelginn/latent-trees-agreement-ID | [
"region:us"
] | 2023-11-24T20:32:27+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}, {"name": "depth", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 107176.8, "num_examples": 2400}, {"name": "eval", "num_bytes": 35725.6, "num_examples": 800},... | 2023-12-14T03:34:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "latent-trees-agreement-ID"
More Information needed | [
"# Dataset Card for \"latent-trees-agreement-ID\"\n\nMore Information needed"
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5d3ee82861dea24551a3772ab8ab6b1ff2eede7b |
# Dataset Card for Evaluation run of euclaise/Ferret_7B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/euclaise/Ferret_7B
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
... | open-llm-leaderboard/details_euclaise__Ferret_7B | [
"region:us"
] | 2023-11-24T20:54:18+00:00 | {"pretty_name": "Evaluation run of euclaise/Ferret_7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [euclaise/Ferret_7B](https://huggingface.co/euclaise/Ferret_7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is ... | 2023-11-24T20:55:03+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of euclaise/Ferret_7B
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model euclaise/Ferret_7B on the Open LLM Leaderboard.
The dat... | [
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18070db092eca11f0022b8be0afb4f112b116603 |
# scientificbeekeeping
raw webtext | BEE-spoke-data/scientificbeekeeping | [
"license:apache-2.0",
"region:us"
] | 2023-11-24T21:01:28+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10438862, "num_examples": 471}], "download_size": 4117007, "dataset_size": 10438862}, "configs": [{"config_nam... | 2023-11-24T21:34:04+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
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# scientificbeekeeping
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84455ce085bba13064813d60632c1db26809513b |
# NewsQASum, a dataset for question answering and summarization of news
<!-- Provide a quick summary of the dataset. -->
This dataset contains the CNN articles at the overlap between the [newsqa](https://huggingface.co/datasets/newsqa) question-answering
dataset and the [CNN DailyMail](https://huggingface.co/datase... | glnmario/news-qa-summarization | [
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"task_categories:text-retrieval",
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"size_categories:10K<n<100K",
"language:en",
"region:us"
] | 2023-11-24T21:37:27+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["summarization", "question-answering", "text-retrieval", "text-generation"], "pretty_name": "NewsQASum"} | 2023-11-24T22:55:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #task_categories-question-answering #task_categories-text-retrieval #task_categories-text-generation #size_categories-10K<n<100K #language-English #region-us
|
# NewsQASum, a dataset for question answering and summarization of news
This dataset contains the CNN articles at the overlap between the newsqa question-answering
dataset and the CNN DailyMail summarization dataset. Each article is annotated with
a summary and a list of questions and corresponding answers.
Task... | [
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705304c9ae2f5e25558ad8895abcfea2fe8039d2 | # Dataset Card for "trial_Level_2_A"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jadasdn/trial_Level_2_A | [
"region:us"
] | 2023-11-24T22:58:05+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2624020367.8833747, "num_examples": 58098}], "download_size": 2607714351, "dataset_size": 2624020367.8833747}, "configs": [{"config_name": "... | 2023-11-24T23:02:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "trial_Level_2_A"
More Information needed | [
"# Dataset Card for \"trial_Level_2_A\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"trial_Level_2_A\"\n\nMore Information needed"
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6,
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2f0656fbf9c7d187620a2918dd76d241aa5c2f03 | # Dataset Card for "timit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | confit/timit | [
"region:us"
] | 2023-11-25T00:42:23+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names"... | 2023-11-25T00:42:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "timit"
More Information needed | [
"# Dataset Card for \"timit\"\n\nMore Information needed"
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3b5ac2bd45b16e66aba2845f91020b02ec63c2aa | # Dataset Card for "binhvq_news"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jetaudio/binhvq_news | [
"region:us"
] | 2023-11-25T00:45:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 68939074439.0, "num_examples": 19582227}, {"name": "va... | 2023-11-25T04:03:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "binhvq_news"
More Information needed | [
"# Dataset Card for \"binhvq_news\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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b085ad16ff3e2d75a060a6f41e830d4bccfaa9f7 | # Dataset Card for "rapids-codegen"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bdice/rapids-codegen | [
"region:us"
] | 2023-11-25T00:49:35+00:00 | {"dataset_info": {"features": [{"name": "repo_id", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 378315950, "num_examples": 16827}], "download_size": 151107014, "dataset_si... | 2023-11-27T03:47:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rapids-codegen"
More Information needed | [
"# Dataset Card for \"rapids-codegen\"\n\nMore Information needed"
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bae092306df117a582249dfefd7882648477f12c |
### Description 🙅♂️🤖
Bank of Ghana historical and real-time exchange rates data. [Bank of Ghana](https://www.bog.gov.gh/treasury-and-the-markets/historical-interbank-fx-rates/)
Click Here:[](https://colab.research.google.com/drive/1z... | worldboss/bank-of-ghana-rates | [
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"task_categories:summarization",
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"task_categories:text-classification",
"task_categories:text-retrieval",
"task_categories:translation",
"size_categories:100K<n<1M",
"language:en",
"license:a... | 2023-11-25T01:01:13+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["conversational", "text-generation", "summarization", "question-answering", "text-classification", "text-retrieval", "translation"], "pretty_name": "No Robots", "configs": [{"config_name": "default", "data_files": [{"spl... | 2024-01-10T08:43:08+00:00 | [] | [
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### Description ️
Bank of Ghana historical and real-time exchange rates data. Bank of Ghana
Click Here:. | [
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36e094cd911f43219451e71007861e76845b091a |
### Description 🙅♂️🤖
Bank of Ghana historical and real-time treasury bills data. [Bank of Ghana](https://www.bog.gov.gh/treasury-and-the-markets/treasury-bill-rates/)
Click Here: [](https://colab.research.google.com/drive/1zZUIyp9z... | worldboss/bank-of-ghana-treasury-bills | [
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"license:... | 2023-11-25T01:23:08+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["conversational", "text-generation", "summarization", "question-answering", "text-classification", "text-retrieval", "translation"], "pretty_name": "No Robots", "configs": [{"config_name": "default", "data_files": [{"sp... | 2024-01-10T08:43:23+00:00 | [] | [
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### Description ️
Bank of Ghana historical and real-time treasury bills data. Bank of Ghana
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911c494cf719373c0ebf70182009e290deb8a3d5 |
# Dataset Card for Evaluation run of Sayan01/Llama-Flan-XL2base
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Sayan01/Llama-Flan-XL2base
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### D... | open-llm-leaderboard/details_Sayan01__Llama-Flan-XL2base | [
"region:us"
] | 2023-11-25T01:31:39+00:00 | {"pretty_name": "Evaluation run of Sayan01/Llama-Flan-XL2base", "dataset_summary": "Dataset automatically created during the evaluation run of model [Sayan01/Llama-Flan-XL2base](https://huggingface.co/Sayan01/Llama-Flan-XL2base) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-11-25T01:32:24+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Sayan01/Llama-Flan-XL2base
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model Sayan01/Llama-Flan-XL2base on the Open LLM Leade... | [
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d90a62deedfc822a15de3f35535bb41474e4d3f4 | ## Disclaimer:
The dataset may contain personal information crawled along with the contents of various sources. Please make a filter in pre-processing data before starting your research training.
# SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts
This is the official rep... | tarudesu/ViHealthQA | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:vi",
"medical",
"arxiv:2206.09600",
"region:us"
] | 2023-11-25T01:47:37+00:00 | {"language": ["vi"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "pretty_name": "Vietnamese Healthcare Question Answering Dataset", "tags": ["medical"]} | 2023-11-28T07:21:22+00:00 | [
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#task_categories-question-answering #size_categories-10K<n<100K #language-Vietnamese #medical #arxiv-2206.09600 #region-us
| ## Disclaimer:
The dataset may contain personal information crawled along with the contents of various sources. Please make a filter in pre-processing data before starting your research training.
# SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts
This is the official rep... | [
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8d0a2fb720f87c29d8564e44ebdb3a24860d4a9f |
# Dataset of nagato (Azur Lane)
This is the dataset of nagato (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co... | AppleHarem/nagato_azurlane | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-25T01:59:38+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-25T02:00:03+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of nagato (Azur Lane)
=============================
This is the dataset of nagato (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleAppleWebUI)
| [] | [
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cf892b1f0e2916608f857ef9f031bf1296fa6828 |
# English-Igbo Parallel Corpus
## Description
This dataset is a comprehensive collection of parallel sentences in English and Igbo. It has been compiled from multiple sources to create a rich resource for machine translation, language research, and natural language processing tasks. The dataset is particularly ... | ccibeekeoc42/english_to_igbo | [
"language:en",
"language:ig",
"license:mit",
"machine-translation",
"igbo",
"english",
"nlp",
"region:us"
] | 2023-11-25T02:05:05+00:00 | {"language": ["en", "ig"], "license": "mit", "pretty_name": "My English to Igbo Dataset", "tags": ["machine-translation", "igbo", "english", "nlp"]} | 2023-11-25T05:36:07+00:00 | [] | [
"en",
"ig"
] | TAGS
#language-English #language-Igbo #license-mit #machine-translation #igbo #english #nlp #region-us
|
# English-Igbo Parallel Corpus
## Description
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f4cd054de228fc8b7c164e7bd8e5540a5f69e818 | # Dataset Card for "undl_zh2en_translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bot-yaya/undl_zh2en_translation | [
"region:us"
] | 2023-11-25T03:16:58+00:00 | {"dataset_info": {"features": [{"name": "clean_zh", "sequence": "string"}, {"name": "clean_en", "sequence": "string"}, {"name": "record", "dtype": "string"}, {"name": "zh2en", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 13263355893, "num_examples": 165840}], "download_size": 6373670636, "dataset_s... | 2023-11-25T04:01:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "undl_zh2en_translation"
More Information needed | [
"# Dataset Card for \"undl_zh2en_translation\"\n\nMore Information needed"
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4dbbb8a345814e34a7f19dc89bad5ba028d87a01 | # Dataset Card for "sentence-alignment-merged-postcorrection"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | buddhist-nlp/sentence-alignment-merged-postcorrection | [
"region:us"
] | 2023-11-25T03:19:44+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"n... | 2023-11-26T22:58:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sentence-alignment-merged-postcorrection"
More Information needed | [
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51fa01c7a8e53ef7399dde2caf494dc9a7314ccf |
# Dataset Card for Evaluation run of TheBloke/Orca-2-13B-GPTQ
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/TheBloke/Orca-2-13B-GPTQ
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Datas... | open-llm-leaderboard/details_TheBloke__Orca-2-13B-GPTQ | [
"region:us"
] | 2023-11-25T03:45:31+00:00 | {"pretty_name": "Evaluation run of TheBloke/Orca-2-13B-GPTQ", "dataset_summary": "Dataset automatically created during the evaluation run of model [TheBloke/Orca-2-13B-GPTQ](https://huggingface.co/TheBloke/Orca-2-13B-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2023-11-25T03:46:14+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of TheBloke/Orca-2-13B-GPTQ
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model TheBloke/Orca-2-13B-GPTQ on the Open LLM Leaderboa... | [
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fea4df952b66020009cd600a535c85a3a82f0a6a |
# Mosaic format for combine all dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-all.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
3. 4096 context ... | malaysia-ai/mosaic-combine-all | [
"language:ms",
"region:us"
] | 2023-11-25T03:53:14+00:00 | {"language": ["ms"]} | 2023-11-28T08:18:52+00:00 | [] | [
"ms"
] | TAGS
#language-Malay (macrolanguage) #region-us
|
# Mosaic format for combine all dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at URL
2. using tokenizer URL
3. 4096 context length.
## how-to
1. git clone,
2. load it,
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3550669c9885b8863d7d17e78245514f889021b7 |
# Bangumi Image Base of Made In Abyss
This is the image base of bangumi Made in Abyss, we detected 35 characters, 3476 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models u... | BangumiBase/madeinabyss | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-25T05:19:02+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-25T08:04:16+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Made In Abyss
===================================
This is the image base of bangumi Made in Abyss, we detected 35 characters, 3476 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to man... | [] | [
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5323dada77c6adf4e3be0bd0cb5656b5b3099ddc | # Dataset Card for "omcs_dataset_of_commonsense_facts"
When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. ... | dutta18/omcs_dataset_of_commonsense_facts | [
"region:us"
] | 2023-11-25T05:20:02+00:00 | {"dataset_info": {"features": [{"name": "fact", "dtype": "string"}, {"name": "count", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 96649051, "num_examples": 1578238}], "download_size": 59984051, "dataset_size": 96649051}} | 2023-11-25T06:15:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "omcs_dataset_of_commonsense_facts"
When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. ... | [
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c506682b4807d9208a4e2fbd58fbb6a58a9bf4fa | # Dataset Card for "special_samsum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pvisnrt/special_samsum | [
"region:us"
] | 2023-11-25T05:24:21+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "dialogue", "sequence": "string"}, {"name": "sum... | 2023-11-25T05:24:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "special_samsum"
More Information needed | [
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0271d60b7dcf05a4d4e647dd233cd62ce299e6b8 | # Dataset Card for "GlitchBench"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | glitchbench/GlitchBench | [
"region:us"
] | 2023-11-25T05:24:26+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "id", "dtype": "string"}, {"name": "reddit", "dtype": "string"}, {"name": "glitch-type", "dtype": "string"}, {"name": "game", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "__in... | 2023-11-25T05:25:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GlitchBench"
More Information needed | [
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ebf2eb5ce08761e765b9005e877a5d570295c3bd |
# Dataset Card for Evaluation run of uukuguy/Orca-2-7b-f16
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/uukuguy/Orca-2-7b-f16
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Sum... | open-llm-leaderboard/details_uukuguy__Orca-2-7b-f16 | [
"region:us"
] | 2023-11-25T06:00:32+00:00 | {"pretty_name": "Evaluation run of uukuguy/Orca-2-7b-f16", "dataset_summary": "Dataset automatically created during the evaluation run of model [uukuguy/Orca-2-7b-f16](https://huggingface.co/uukuguy/Orca-2-7b-f16) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe da... | 2023-11-25T06:01:17+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of uukuguy/Orca-2-7b-f16
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
- Leaderboard: URL
- Point of Contact: clementine@URL
### Dataset Summary
Dataset automatically created during the evaluation run of model uukuguy/Orca-2-7b-f16 on the Open LLM Leaderboard.
T... | [
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"passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of uukuguy/Orca-2-7b-f16## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: URL\n- Point of Contact: clementine@URL### Dataset Summary\n\nDataset automatically created during the evaluation run of model uukuguy/Orca-2-7b... |
169ea69d02b933f79716bbf273d35dd8cc3e9752 | # Dataset Card for "omcs_50k_small"
When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve computer... | dutta18/omcs_50k_small | [
"region:us"
] | 2023-11-25T06:06:35+00:00 | {"dataset_info": {"features": [{"name": "count", "dtype": "int64"}, {"name": "fact", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3233742, "num_examples": 50000}], "download_size": 1982700, "dataset_size": 3233742}} | 2023-11-25T06:14:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "omcs_50k_small"
When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve computer... | [
"# Dataset Card for \"omcs_50k_small\"\n\nWhen people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"omcs_50k_small\"\n\nWhen people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share t... | [
6,
124
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"omcs_50k_small\"\n\nWhen people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not shar... |
9ff6aa709feaacd1770043c2c583350213ce803b |
# Dataset of shimakaze (Azur Lane)
This is the dataset of shimakaze (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingf... | AppleHarem/shimakaze_azurlane | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-25T06:34:37+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-25T06:34:54+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of shimakaze (Azur Lane)
================================
This is the dataset of shimakaze (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleAppleWeb... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
edba439c736de713f2154ee15ba436412e9711a1 | # Dataset Card for "omcs_50k_with_FAISS"
When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve com... | dutta18/omcs_50k_with_FAISS | [
"region:us"
] | 2023-11-25T07:27:50+00:00 | {"dataset_info": {"features": [{"name": "count", "dtype": "int64"}, {"name": "fact", "dtype": "string"}, {"name": "embeddings", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 157033742, "num_examples": 50000}], "download_size": 186812200, "dataset_size": 157033742}} | 2023-11-25T09:55:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "omcs_50k_with_FAISS"
When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve com... | [
"# Dataset Card for \"omcs_50k_with_FAISS\"\n\nWhen people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To im... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"omcs_50k_with_FAISS\"\n\nWhen people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not sh... | [
6,
183
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"omcs_50k_with_FAISS\"\n\nWhen people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not... |
fcfcbb7cb9263b490a2a886e041750be1514b1a5 | # Dataset Card for "MC-ViMath"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | longhoang06/MC-ViMath | [
"region:us"
] | 2023-11-25T07:40:36+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "explanation", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6086303, "num_examples": 9328}], "download_size": 3016997, "dataset_size": 6086... | 2023-11-25T07:40:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MC-ViMath"
More Information needed | [
"# Dataset Card for \"MC-ViMath\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"MC-ViMath\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"MC-ViMath\"\n\nMore Information needed"
] |
c47673c2255dbb2b551657323b66329266503d0e |
# Dataset of yoshimi (Blue Archive)
This is the dataset of yoshimi (Blue Archive), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggin... | AppleHarem/yoshimi_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-25T07:53:46+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-25T07:54:02+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of yoshimi (Blue Archive)
=================================
This is the dataset of yoshimi (Blue Archive), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleApple... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
9d7f4524d9c3e9c94101ab787130e9ac743970f8 |
# Dataset of tsurugi (Blue Archive)
This is the dataset of tsurugi (Blue Archive), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggin... | AppleHarem/tsurugi_bluearchive | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-11-25T08:08:12+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-11-25T08:08:32+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of tsurugi (Blue Archive)
=================================
This is the dataset of tsurugi (Blue Archive), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).(LittleApple... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
bb4ed3d76fc8ebc04182e99bdd64c10d88d9e61f | This is Wikidedia passages dataset for ODQA retriever.
Each passages have 256~ tokens splitteed by gpt-4 tokenizer using tiktoken.
Token count
```ts
{'~128': 1415068, '128~256': 1290011,
'256~512': 18756476, '512~1024': 667,
'1024~2048': 12, '2048~4096': 0, '4096~8192': 0,
'8192~16384': 0, '16384~32768': 0, '32768~65... | seonglae/wikipedia-256 | [
"task_categories:question-answering",
"language:en",
"wikipedia",
"region:us"
] | 2023-11-25T08:10:11+00:00 | {"language": ["en"], "task_categories": ["question-answering"], "dataset_info": {"config_name": "gpt-4", "features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24166736905, ... | 2023-11-26T15:41:22+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #language-English #wikipedia #region-us
| This is Wikidedia passages dataset for ODQA retriever.
Each passages have 256~ tokens splitteed by gpt-4 tokenizer using tiktoken.
Token count
Text count
Token percent
Text percent
| [] | [
"TAGS\n#task_categories-question-answering #language-English #wikipedia #region-us \n"
] | [
24
] | [
"passage: TAGS\n#task_categories-question-answering #language-English #wikipedia #region-us \n"
] |
2f028fc664ce99bd19ae0c88b9a3033f1c861f65 |
# English Hinglish
English to Hinglish Dataset processed from [findnitai/english-to-hinglish](https://huggingface.co/datasets/findnitai/english-to-hinglish).
Sources:
1. Hinglish TOP Dataset
2. CMU English Dog
3. HinGE
4. PHINC | rvv-karma/English-Hinglish | [
"task_categories:translation",
"task_categories:text-generation",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:10K<n<100K",
"language:en",
"language:hi",
"license:apache-2.0",
"region:us"
] | 2023-11-25T09:13:41+00:00 | {"language": ["en", "hi"], "license": "apache-2.0", "multilinguality": ["multilingual", "translation"], "size_categories": ["10K<n<100K"], "task_categories": ["translation", "text-generation"], "pretty_name": "English Hinglish", "dataset_info": {"features": [{"name": "en", "dtype": "string"}, {"name": "hi_en", "dtype":... | 2023-11-25T10:14:40+00:00 | [] | [
"en",
"hi"
] | TAGS
#task_categories-translation #task_categories-text-generation #multilinguality-multilingual #multilinguality-translation #size_categories-10K<n<100K #language-English #language-Hindi #license-apache-2.0 #region-us
|
# English Hinglish
English to Hinglish Dataset processed from findnitai/english-to-hinglish.
Sources:
1. Hinglish TOP Dataset
2. CMU English Dog
3. HinGE
4. PHINC | [
"# English Hinglish\n\nEnglish to Hinglish Dataset processed from findnitai/english-to-hinglish.\n\nSources:\n1. Hinglish TOP Dataset\n2. CMU English Dog\n3. HinGE\n4. PHINC"
] | [
"TAGS\n#task_categories-translation #task_categories-text-generation #multilinguality-multilingual #multilinguality-translation #size_categories-10K<n<100K #language-English #language-Hindi #license-apache-2.0 #region-us \n",
"# English Hinglish\n\nEnglish to Hinglish Dataset processed from findnitai/english-to-h... | [
69,
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"passage: TAGS\n#task_categories-translation #task_categories-text-generation #multilinguality-multilingual #multilinguality-translation #size_categories-10K<n<100K #language-English #language-Hindi #license-apache-2.0 #region-us \n# English Hinglish\n\nEnglish to Hinglish Dataset processed from findnitai/english-t... |
a3dd06923c13536b1e2ea05d3724062ff6bdf2e6 |
# Bangumi Image Base of Your Lie In April
This is the image base of bangumi Your Lie in April, we detected 26 characters, 2374 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train ... | BangumiBase/yourlieinapril | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-25T09:23:04+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-25T11:18:34+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Your Lie In April
=======================================
This is the image base of bangumi Your Lie in April, we detected 26 characters, 2374 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you i... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
38d7974f1b0fc406c7a11dde4f0659e91fcbd12e |
# Bangumi Image Base of Natsume's Book Of Friends
This is the image base of bangumi Natsume's Book of Friends, we detected 60 characters, 6311 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to... | BangumiBase/natsumesbookoffriends | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-25T09:23:26+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-25T13:44:22+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Natsume's Book Of Friends
===============================================
This is the image base of bangumi Natsume's Book of Friends, we detected 60 characters, 6311 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may b... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
a8e12409f699ff77d66380cba5bbb583e7ae8455 | # Dataset Card for "123"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | manojpatil/123 | [
"region:us"
] | 2023-11-25T09:48:09+00:00 | {"dataset_info": {"features": [{"name": "r", "dtype": "int64"}, {"name": "theta", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 173, "num_examples": 7}], "download_size": 1415, "dataset_size": 173}} | 2023-11-25T09:59:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "123"
More Information needed | [
"# Dataset Card for \"123\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"123\"\n\nMore Information needed"
] | [
6,
11
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"123\"\n\nMore Information needed"
] |
ce2d06fdee1f7cbd9cb37d889f0b13d9fcf7f6d4 |
# Bangumi Image Base of Danshi Koukousei No Nichijou
This is the image base of bangumi Danshi Koukousei no Nichijou, we detected 25 characters, 1831 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you int... | BangumiBase/danshikoukouseinonichijou | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-25T10:04:03+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-25T11:12:24+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Danshi Koukousei No Nichijou
==================================================
This is the image base of bangumi Danshi Koukousei no Nichijou, we detected 25 characters, 1831 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, t... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
5ab10562888b4dd9735e434496f7e6112859329d |
# English Hinglish (TOP Dataset)
This dataset is generated from [Hinglish-TOP Dataset](https://github.com/google-research-datasets/hinglish-top-dataset).
Data distribution:
1. Train
a. Human Generated - 6513
b. Synthetically generated - 170083
2. Validation
a. Human Generated - 1390
b. Synt... | rvv-karma/English-Hinglish-TOP | [
"task_categories:translation",
"task_categories:text-generation",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:10K<n<100K",
"language:en",
"language:hi",
"license:apache-2.0",
"region:us"
] | 2023-11-25T10:12:31+00:00 | {"language": ["en", "hi"], "license": "apache-2.0", "multilinguality": ["multilingual", "translation"], "size_categories": ["10K<n<100K"], "task_categories": ["translation", "text-generation"], "pretty_name": "English Hinglish", "dataset_info": {"features": [{"name": "en", "dtype": "string"}, {"name": "hi_en", "dtype":... | 2023-11-26T17:18:53+00:00 | [] | [
"en",
"hi"
] | TAGS
#task_categories-translation #task_categories-text-generation #multilinguality-multilingual #multilinguality-translation #size_categories-10K<n<100K #language-English #language-Hindi #license-apache-2.0 #region-us
|
# English Hinglish (TOP Dataset)
This dataset is generated from Hinglish-TOP Dataset.
Data distribution:
1. Train
a. Human Generated - 6513
b. Synthetically generated - 170083
2. Validation
a. Human Generated - 1390
b. Synthetically generated - 0
3. Test
a. Human Generated - 6513
... | [
"# English Hinglish (TOP Dataset)\n\nThis dataset is generated from Hinglish-TOP Dataset.\n\nData distribution:\n1. Train \n a. Human Generated - 6513 \n b. Synthetically generated - 170083 \n2. Validation \n a. Human Generated - 1390 \n b. Synthetically generated - 0 \n3. Test \n a. Human Gen... | [
"TAGS\n#task_categories-translation #task_categories-text-generation #multilinguality-multilingual #multilinguality-translation #size_categories-10K<n<100K #language-English #language-Hindi #license-apache-2.0 #region-us \n",
"# English Hinglish (TOP Dataset)\n\nThis dataset is generated from Hinglish-TOP Dataset... | [
69,
91
] | [
"passage: TAGS\n#task_categories-translation #task_categories-text-generation #multilinguality-multilingual #multilinguality-translation #size_categories-10K<n<100K #language-English #language-Hindi #license-apache-2.0 #region-us \n# English Hinglish (TOP Dataset)\n\nThis dataset is generated from Hinglish-TOP Data... |
7f06d9b2bd9313d5c326a49e9876dc4bfd59a4bb | # Dataset Card for "metamath-prompt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aops02/metamath-prompt | [
"region:us"
] | 2023-11-25T10:21:24+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2461676, "num_examples": 1399}], "download_size": 0, "dataset_size": 2461676}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-27T20:47:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "metamath-prompt"
More Information needed | [
"# Dataset Card for \"metamath-prompt\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"metamath-prompt\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"metamath-prompt\"\n\nMore Information needed"
] |
2384ce648a09feb87b69e409e8f253cf0ccf5895 | # Dataset Card for "undl_zh2en_aligned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bot-yaya/undl_zh2en_aligned | [
"region:us"
] | 2023-11-25T10:38:20+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "record", "dtype": "string"}, {"name": "clean_para_index_set_pair", "dtype": "string"}, {"name": "src", "dtype": "string"}, {"name": "dst", "dtype": "string"}, {"name": "src_text"... | 2023-11-25T11:39:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "undl_zh2en_aligned"
More Information needed | [
"# Dataset Card for \"undl_zh2en_aligned\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"undl_zh2en_aligned\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"undl_zh2en_aligned\"\n\nMore Information needed"
] |
214452e089abc76d0dbfcce83d7f942f46dc46f0 | # Dataset Card for "rework_undl_text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bot-yaya/rework_undl_text | [
"region:us"
] | 2023-11-25T10:39:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "ar", "dtype": "string"}, {"name": "zh", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "fr", "dtype": "string"}, {"name": "ru", "dtype": "string"}, {"name": "es"... | 2023-11-25T16:29:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rework_undl_text"
More Information needed | [
"# Dataset Card for \"rework_undl_text\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"rework_undl_text\"\n\nMore Information needed"
] |
aef543bd1daefd48b2e2f914fd10ecb847446920 |
# Bangumi Image Base of Nana
This is the image base of bangumi NANA, we detected 38 characters, 4462 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset,... | BangumiBase/nana | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | 2023-11-25T10:45:08+00:00 | {"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]} | 2023-11-25T13:26:05+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #license-mit #art #region-us
| Bangumi Image Base of Nana
==========================
This is the image base of bangumi NANA, we detected 38 characters, 4462 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using th... | [] | [
"TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] | [
25
] | [
"passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n"
] |
9952469be8bef43a715683721d743ad2e29f5683 | # Dataset Card for "gpt2-winogrande_base"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | automated-research-group/gpt2-winogrande_base | [
"region:us"
] | 2023-11-25T11:07:33+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "request", "dtype": "string"}, {"name": "input_perplexity", "dtype": "float64"}, {"name": "input_likelihood", "dtype": "float64"}, {"name": "output_perplexity", "dtype": "float64"}, {"name": "output_likel... | 2023-11-25T11:07:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gpt2-winogrande_base"
More Information needed | [
"# Dataset Card for \"gpt2-winogrande_base\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"gpt2-winogrande_base\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"gpt2-winogrande_base\"\n\nMore Information needed"
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aa29d310b3846d2920155af0eea93b58bb87ece8 | # Dataset Card for "winogrande_inverted_option"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | automated-research-group/winogrande_inverted_option | [
"region:us"
] | 2023-11-25T11:18:36+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "request", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 316710, "num_examples": 1267}], "download_size": 123029, "dataset_size": 316710}, "configs": [{"config_name": "default", "dat... | 2023-11-25T11:18:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "winogrande_inverted_option"
More Information needed | [
"# Dataset Card for \"winogrande_inverted_option\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"winogrande_inverted_option\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"winogrande_inverted_option\"\n\nMore Information needed"
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60b411525461e920a04c8bc465c431e08b985c6e | # Dataset Card for "gpt2-winogrande_inverted_option"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | automated-research-group/gpt2-winogrande_inverted_option | [
"region:us"
] | 2023-11-25T11:19:23+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "request", "dtype": "string"}, {"name": "input_perplexity", "dtype": "float64"}, {"name": "input_likelihood", "dtype": "float64"}, {"name": "output_perplexity", "dtype": "float64"}, {"name": "output_likel... | 2023-11-25T11:19:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gpt2-winogrande_inverted_option"
More Information needed | [
"# Dataset Card for \"gpt2-winogrande_inverted_option\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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9682a81bd21e51212ee9227a2b484d30e887fe0a | # Dataset Card for "phi-winogrande_base"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | automated-research-group/phi-winogrande_base | [
"region:us"
] | 2023-11-25T11:46:11+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "request", "dtype": "string"}, {"name": "input_perplexity", "dtype": "float64"}, {"name": "input_likelihood", "dtype": "float64"}, {"name": "output_perplexity", "dtype": "float64"}, {"name": "output_likel... | 2023-11-25T11:46:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "phi-winogrande_base"
More Information needed | [
"# Dataset Card for \"phi-winogrande_base\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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ee8291ab7539676766639596d677c469619bf3a5 | # Dataset Card for "phi-winogrande_inverted_option"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | automated-research-group/phi-winogrande_inverted_option | [
"region:us"
] | 2023-11-25T11:57:38+00:00 | {"dataset_info": [{"config_name": "default", "features": [{"name": "id", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "request", "dtype": "string"}, {"name": "input_perplexity", "dtype": "float64"}, {"name": "input_likelihood", "dtype": "float64"}, {"name": "output_perplexity", "dtype": "float6... | 2023-11-25T15:26:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "phi-winogrande_inverted_option"
More Information needed | [
"# Dataset Card for \"phi-winogrande_inverted_option\"\n\nMore Information needed"
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496e38f114252e487c83566b8603aaaab009e103 | # Dataset Card for "AIPD_nlp_sentence_dataset_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | patent/AIPD_nlp_sentence_dataset_v2 | [
"region:us"
] | 2023-11-25T12:36:31+00:00 | {"dataset_info": {"features": [{"name": "patent_num", "dtype": "int64"}, {"name": "claim_num1", "dtype": "int64"}, {"name": "claim_num2", "dtype": "int64"}, {"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes... | 2023-11-25T12:37:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "AIPD_nlp_sentence_dataset_v2"
More Information needed | [
"# Dataset Card for \"AIPD_nlp_sentence_dataset_v2\"\n\nMore Information needed"
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ed3d69abb765fd304ccdcc646ec6ca3c49740d15 | # Dataset Card for "english_dialects"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [How to use](#how-to-use)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data... | ylacombe/english_dialects | [
"task_categories:text-to-speech",
"task_categories:text-to-audio",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-11-25T12:40:07+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "task_categories": ["text-to-speech", "text-to-audio"], "pretty_name": "Google English Dialects", "dataset_info": [{"config_name": "irish_male", "features": [{"name": "line_id", "dtype": "string"}, {"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}, ... | 2023-11-27T10:32:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-speech #task_categories-text-to-audio #language-English #license-cc-by-sa-4.0 #region-us
| # Dataset Card for "english_dialects"
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- How to use
- Dataset Structure
- Data Instances
- Data Fields
- Data Statistics
- Dataset Creation
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- Annotations
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ebc2d745a2a2331b2c1458cce00dd0482eb82bbf | # Dataset Card for Tamil Speech
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [How to use](#how-to-use)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields... | ylacombe/google-tamil | [
"task_categories:text-to-speech",
"task_categories:text-to-audio",
"language:ta",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-11-25T12:59:49+00:00 | {"language": ["ta"], "license": "cc-by-sa-4.0", "task_categories": ["text-to-speech", "text-to-audio"], "pretty_name": "Tamil Speech", "dataset_info": [{"config_name": "female", "features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}], "splits": [{... | 2023-11-27T11:37:22+00:00 | [] | [
"ta"
] | TAGS
#task_categories-text-to-speech #task_categories-text-to-audio #language-Tamil #license-cc-by-sa-4.0 #region-us
| Dataset Card for Tamil Speech
=============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ How to use
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Statistics
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ ... | [
"### Dataset Summary\n\n\nThis dataset consists of 7 hours of transcribed high-quality audio of Tamil sentences recorded by 50 volunteers. The dataset is intended for speech technologies.\n\n\nThe data archives were restructured from the original ones from OpenSLR to make it easier to stream.",
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082619e99a37715ab8db45b0bc8188ba98a80130 | # Dataset Card for Tamil Speech
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [How to use](#how-to-use)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields... | ylacombe/google-chilean-spanish | [
"task_categories:text-to-speech",
"task_categories:text-to-audio",
"language:es",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-11-25T13:05:49+00:00 | {"language": ["es"], "license": "cc-by-sa-4.0", "task_categories": ["text-to-speech", "text-to-audio"], "pretty_name": "Chilean Spanish Speech", "dataset_info": [{"config_name": "female", "features": [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"name": "speaker_id", "dtype": "int64"}], "s... | 2023-11-27T11:42:55+00:00 | [] | [
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#task_categories-text-to-speech #task_categories-text-to-audio #language-Spanish #license-cc-by-sa-4.0 #region-us
| Dataset Card for Tamil Speech
=============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ How to use
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Statistics
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ ... | [
"### Dataset Summary\n\n\nThis dataset consists of 7 hours of transcribed high-quality audio of Chilean Spanish sentences recorded by 31 volunteers. The dataset is intended for speech technologies.\n\n\nThe data archives were restructured from the original ones from OpenSLR to make it easier to stream.",
"### Sup... | [
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3dd3486622bdd9a284c08f17ffd70f0a368f068f | # | casualdatauser/neet-dataset-mini | [
"language:en",
"license:mit",
"region:us"
] | 2023-11-25T13:32:17+00:00 | {"language": ["en"], "license": "mit", "pretty_name": "Mini NEET Dataset"} | 2023-11-25T13:34:52+00:00 | [] | [
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#language-English #license-mit #region-us
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72d11790cfcefbdb879e2b065d3ed9664927777d | # Dataset Card for "fake_review_hedi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | astrosbd/fake_review_hedi | [
"region:us"
] | 2023-11-25T13:57:45+00:00 | {"dataset_info": {"features": [{"name": "cat", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "label", "dtype": "string"}, {"name": "review", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15867393, "num_examples": 40432}], "download_size": 8285372, "dataset_size": 15867393}, "confi... | 2023-11-25T13:57:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fake_review_hedi"
More Information needed | [
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d8f4a5a0a3fb50f7e73764fe27bdc281e074a014 |
# Dataset Card for Evaluation run of NurtureAI/Orca-2-13B-16k
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/NurtureAI/Orca-2-13B-16k
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Datas... | open-llm-leaderboard/details_NurtureAI__Orca-2-13B-16k | [
"region:us"
] | 2023-11-25T14:59:55+00:00 | {"pretty_name": "Evaluation run of NurtureAI/Orca-2-13B-16k", "dataset_summary": "Dataset automatically created during the evaluation run of model [NurtureAI/Orca-2-13B-16k](https://huggingface.co/NurtureAI/Orca-2-13B-16k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2023-11-25T15:00:43+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of NurtureAI/Orca-2-13B-16k
## Dataset Description
- Homepage:
- Repository: URL
- Paper:
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- Point of Contact: clementine@URL
### Dataset Summary
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50fd5ee546a571cb455ffb8e93fd22906797505d |
# Ordalie - French STS Benchmark
- 30k sentence pairs
- Score either 0 or 1 | OrdalieTech/Ordalie-FR-STS-benchmark | [
"task_categories:feature-extraction",
"size_categories:10K<n<100K",
"language:fr",
"license:apache-2.0",
"region:us"
] | 2023-11-25T15:01:49+00:00 | {"language": ["fr"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["feature-extraction"], "pretty_name": "ordalie-fr-sts-benchmark", "dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "... | 2023-11-27T17:32:55+00:00 | [] | [
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- 30k sentence pairs
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"passage: TAGS\n#task_categories-feature-extraction #size_categories-10K<n<100K #language-French #license-apache-2.0 #region-us \n# Ordalie - French STS Benchmark\n\n- 30k sentence pairs\n- Score either 0 or 1"
] |
a7b6d0115fdd9386b4a78d382a60af4e0238abed |
This is Wikidedia passages dataset for ODQA retriever.
Each passages have 256~ tokens splitteed by gpt-4 tokenizer using tiktoken.
Token count
```ts
{'~128': 1415068, '128~256': 1290011,
'256~512': 18756476, '512~1024': 667,
'1024~2048': 12, '2048~4096': 0, '4096~8192': 0,
'8192~16384': 0, '16384~32768': 0, '32768~6... | seonglae/wikipedia-256-token | [
"region:us"
] | 2023-11-25T15:09:11+00:00 | {"dataset_info": {"config_name": "gpt-4", "features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "token_length", "dtype": "int64"}, {"name": "text_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 23230980331, "num_example... | 2023-11-26T15:57:51+00:00 | [] | [] | TAGS
#region-us
|
This is Wikidedia passages dataset for ODQA retriever.
Each passages have 256~ tokens splitteed by gpt-4 tokenizer using tiktoken.
Token count
Text count
Token percent
Text percent
| [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
] |
dd4582f1904d726cf8b5ba9d29759d83eb704e78 | # speechocean762: A non-native English corpus for pronunciation scoring task
## Introduction
Pronunciation scoring is a crucial technology in computer-assisted language learning (CALL) systems. The pronunciation quality scores might be given at phoneme-level, word-level, and sentence-level for a typical pronunciation ... | mispeech/speechocean762 | [
"task_categories:automatic-speech-recognition",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"pronunciation-scoring",
"region:us"
] | 2023-11-25T15:50:48+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["automatic-speech-recognition"], "pretty_name": "speechocean762", "tags": ["pronunciation-scoring"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "pat... | 2024-01-17T03:52:45+00:00 | [] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #size_categories-1K<n<10K #language-English #license-apache-2.0 #pronunciation-scoring #region-us
| # speechocean762: A non-native English corpus for pronunciation scoring task
## Introduction
Pronunciation scoring is a crucial technology in computer-assisted language learning (CALL) systems. The pronunciation quality scores might be given at phoneme-level, word-level, and sentence-level for a typical pronunciation ... | [
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4dd27ec5437106ac72a6304a5203e2827403b4dc | # This dataset was moved to a new repo ✈️
The data and its repository have relocated to [Silly-Machine/TuPyE-Dataset](https://huggingface.co/datasets/Silly-Machine/TuPyE-Dataset) – they needed a change of scenery! Feel free to explore our other organizational projects while you're there. | FpOliveira/TuPi-Portuguese-Hate-Speech-Dataset | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"size_categories:10K<n<100K",
"source_datasets:crowdsourced",
"language:pt",
"license:mit",
"hate-speech-detection",
"brazilian-portuguese",
"doi:10.57967/hf/1419",
"region:us"
] | 2023-11-25T16:40:48+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["pt"], "license": "mit", "size_categories": ["10K<n<100K"], "source_datasets": ["crowdsourced"], "task_categories": ["text-classification"], "pretty_name": "TuPiHateSpeech", "language_bcp47": ["pt-BR"], "tags": ["hate-speech-... | 2023-12-28T19:34:19+00:00 | [] | [
"pt"
] | TAGS
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| # This dataset was moved to a new repo ️
The data and its repository have relocated to Silly-Machine/TuPyE-Dataset – they needed a change of scenery! Feel free to explore our other organizational projects while you're there. | [
"# This dataset was moved to a new repo ️\nThe data and its repository have relocated to Silly-Machine/TuPyE-Dataset – they needed a change of scenery! Feel free to explore our other organizational projects while you're there."
] | [
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12ae9e0781a235f0f744c8b66595ef51008a7422 | # Dataset Card for "MesogenesTask1Parquet_ALL"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | InfernoDeep/MesogenesTask1Parquet_ALL | [
"region:us"
] | 2023-11-25T16:52:17+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "label... | 2023-11-25T16:55:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MesogenesTask1Parquet_ALL"
More Information needed | [
"# Dataset Card for \"MesogenesTask1Parquet_ALL\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"MesogenesTask1Parquet_ALL\"\n\nMore Information needed"
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e75ecdc9d5aabf096880b732d60a73ca09d41c31 | # Dataset Card for "sdu_es_train_topics_LDA_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/sdu_es_train_topics_LDA_2 | [
"region:us"
] | 2023-11-25T16:52:48+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "acronym", "dtype": "string"}, {"name": "ID", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "text_prep", "dtype": "string"}, {"name": "topic_vector_LDA", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes... | 2023-11-25T16:52:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sdu_es_train_topics_LDA_2"
More Information needed | [
"# Dataset Card for \"sdu_es_train_topics_LDA_2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sdu_es_train_topics_LDA_2\"\n\nMore Information needed"
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5fbcbfd2e72f317bdaf1301c69291a99f83d015f | # Dataset Card for "sdu_es_dev_topics_LDA_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/sdu_es_dev_topics_LDA_2 | [
"region:us"
] | 2023-11-25T16:52:52+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "acronym", "dtype": "string"}, {"name": "ID", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "text_prep", "dtype": "string"}, {"name": "topic_vector_LDA", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes... | 2023-11-25T16:52:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sdu_es_dev_topics_LDA_2"
More Information needed | [
"# Dataset Card for \"sdu_es_dev_topics_LDA_2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sdu_es_dev_topics_LDA_2\"\n\nMore Information needed"
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] |
d8ced93c7c77b85900872fd9816f78957a94c9a4 | # Dataset Card for "byt-mal-minpro"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bgspaditya/byt-mal-minpro | [
"region:us"
] | 2023-11-25T17:12:32+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "type_code", "dtype": "i... | 2023-11-25T18:08:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "byt-mal-minpro"
More Information needed | [
"# Dataset Card for \"byt-mal-minpro\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"byt-mal-minpro\"\n\nMore Information needed"
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ed9d414ead893b67ff15f5ce06eb3208aa965168 |
# SignalTrain LA2A Dataset (v.1.1)
> Downloadable from https://zenodo.org/records/3824876
20 GB of audio in & audio out for a LA-2A compressor unit, conditioned on knob variations.
LA-2A Compressor data to accompany the paper "SignalTrain: Profiling Audio Compressors with Deep Neural Networks," 147th Audio Enginee... | drscotthawley/SignalTrain-LA2A | [
"license:cc-by-4.0",
"arxiv:1905.11928",
"arxiv:2102.06200",
"arxiv:2006.05584",
"region:us"
] | 2023-11-25T17:48:25+00:00 | {"license": "cc-by-4.0"} | 2023-11-25T17:59:40+00:00 | [
"1905.11928",
"2102.06200",
"2006.05584"
] | [] | TAGS
#license-cc-by-4.0 #arxiv-1905.11928 #arxiv-2102.06200 #arxiv-2006.05584 #region-us
|
# SignalTrain LA2A Dataset (v.1.1)
> Downloadable from URL
20 GB of audio in & audio out for a LA-2A compressor unit, conditioned on knob variations.
LA-2A Compressor data to accompany the paper "SignalTrain: Profiling Audio Compressors with Deep Neural Networks," 147th Audio Engineering Society Convention (AES), ... | [
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9fdb29105cedd4eac99e2b7c43fbbeb0911e15ea |
## HOW TO WRANGLING THIS DATASET TO DPO & CHATML FORMAT
```
def return_prompt_and_responses(samples) -> dict[str, str, str]:
return {
"prompt": [
"<|im_start|>user\n" + i + "<|im_end|>\n"
for i in samples["PROMPT"]
],
"chosen": [
"<|im_start|>assistant\n"... | Ichsan2895/DPO_ID-Wiki_10kTesting | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-11-25T17:55:48+00:00 | {"license": "cc-by-nc-sa-4.0"} | 2023-11-25T18:19:29+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
## HOW TO WRANGLING THIS DATASET TO DPO & CHATML FORMAT
## HOW TO USE DPO
## CITATION
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d087cec7c56df6c9c18c0fb28f9709847700ecef |
The dataset repo contains the data for C-VQA-Real dataset, for complete data and evaluating your model on our dataset, please refer to https://github.com/Letian2003/C-VQA.
| tennant/C-VQA | [
"region:us"
] | 2023-11-25T18:31:51+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "C-VQA-Real_questions.csv"}]}]} | 2023-11-27T16:25:56+00:00 | [] | [] | TAGS
#region-us
|
The dataset repo contains the data for C-VQA-Real dataset, for complete data and evaluating your model on our dataset, please refer to URL
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"TAGS\n#region-us \n"
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6
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6b8a0b9b9d78c52c2f7b46ce59c5e8485daa152d |
# 🚫🤖 Language Model Offensive Text Exploration Dataset
## 🌐 Introduction
This dataset is created based on selected prompts from Table 9 and Table 10 of [Ethan Perez et al.'s paper](https://arxiv.org/abs/2202.03286) "Red Teaming Language Models with Language Models". It is designed to explore the propensity of la... | harpreetsahota/elicit-offensive-language-prompts | [
"arxiv:2202.03286",
"region:us"
] | 2023-11-25T19:19:34+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4621, "num_examples": 73}], "download_size": 3313, "dataset_size": 4621}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-29T19:33:16+00:00 | [
"2202.03286"
] | [] | TAGS
#arxiv-2202.03286 #region-us
|
# Language Model Offensive Text Exploration Dataset
## Introduction
This dataset is created based on selected prompts from Table 9 and Table 10 of Ethan Perez et al.'s paper "Red Teaming Language Models with Language Models". It is designed to explore the propensity of language models to generate offensive text.
... | [
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44b6391c630ef1f86299d3b4dcca492ea43b9b8c |
# 🕵️♂️🤖 Language Model Bias Exploration
## 🌐 Introduction
In this dataset, I've adopted the approach from ["Red Teaming Language Models with Language Models"](https://arxiv.org/abs/2202.03286) by Ethan Perez et al., focusing on exploring and understanding distributional bias in language models (LMs).
## 🎯 Pu... | harpreetsahota/elicit-bias-prompts | [
"arxiv:2202.03286",
"region:us"
] | 2023-11-25T19:42:28+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3851, "num_examples": 64}], "download_size": 2447, "dataset_size": 3851}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-29T19:20:01+00:00 | [
"2202.03286"
] | [] | TAGS
#arxiv-2202.03286 #region-us
|
# ️️ Language Model Bias Exploration
## Introduction
In this dataset, I've adopted the approach from "Red Teaming Language Models with Language Models" by Ethan Perez et al., focusing on exploring and understanding distributional bias in language models (LMs).
## Purpose of the Prompts
The prompts in this rep... | [
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d56d2558657f93cba561d2b358bea3e4244dc606 | dataset_info:
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dtype: string
splits:
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num_bytes: 1654448
num_examples: 1000
download_size: 966693
dataset_size: 1654448
configs:
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data_files:
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path: data/train-*
--- | DiegoMVM/DefinicionesDerechoPeruano121Palabras | [
"region:us"
] | 2023-11-25T20:01:16+00:00 | {} | 2023-11-26T00:13:13+00:00 | [] | [] | TAGS
#region-us
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download_size: 966693
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configs:
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data_files:
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path: data/train-*
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dd4281edea9c866c5433322140946096a4dee5e3 |
# Language Model Testing Dataset 📊🤖
## Introduction 🌐
This repository provides a dataset inspired by the paper ["Explore, Establish, Exploit: Red Teaming Language Models from Scratch"](https://arxiv.org/abs/2306.09442) It's designed for anyone interested in testing language models (LMs) for biases, toxicity, and m... | harpreetsahota/adversarial-prompts | [
"arxiv:2306.09442",
"region:us"
] | 2023-11-25T20:14:19+00:00 | {"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2366, "num_examples": 37}], "download_size": 2228, "dataset_size": 2366}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2023-11-29T19:25:57+00:00 | [
"2306.09442"
] | [] | TAGS
#arxiv-2306.09442 #region-us
|
# Language Model Testing Dataset
## Introduction
This repository provides a dataset inspired by the paper "Explore, Establish, Exploit: Red Teaming Language Models from Scratch" It's designed for anyone interested in testing language models (LMs) for biases, toxicity, and misinformation.
## Dataset Origin
The dat... | [
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fcd3c8ad8e621a064d4f08286c46946066a100e6 | # Dataset Card for "latent-trees-agreement-GEN"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | michaelginn/latent-trees-agreement-GEN | [
"region:us"
] | 2023-11-25T20:47:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "eval", "path": "data/eval-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "0", "1... | 2023-12-14T03:45:27+00:00 | [] | [] | TAGS
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| # Dataset Card for "latent-trees-agreement-GEN"
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ef9835291e7e1a8402a870b83aa598b2a4398e94 |
# Dataset Card for Evaluation run of NurtureAI/Orca-2-7B-16k
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/NurtureAI/Orca-2-7B-16k
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset... | open-llm-leaderboard/details_NurtureAI__Orca-2-7B-16k | [
"region:us"
] | 2023-11-25T21:42:06+00:00 | {"pretty_name": "Evaluation run of NurtureAI/Orca-2-7B-16k", "dataset_summary": "Dataset automatically created during the evaluation run of model [NurtureAI/Orca-2-7B-16k](https://huggingface.co/NurtureAI/Orca-2-7B-16k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\n... | 2023-11-25T21:42:51+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of NurtureAI/Orca-2-7B-16k
## Dataset Description
- Homepage:
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- Point of Contact: clementine@URL
### Dataset Summary
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c51cf847b99221d9a4397979a6c731b839b87c8f |
# Dataset Card for Evaluation run of NurtureAI/openchat_3.5-16k
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/NurtureAI/openchat_3.5-16k
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### D... | open-llm-leaderboard/details_NurtureAI__openchat_3.5-16k | [
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# Dataset Card for Evaluation run of NurtureAI/openchat_3.5-16k
## Dataset Description
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- Point of Contact: clementine@URL
### Dataset Summary
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63d956cb4c362095219e4d015d82b7ed2b5c4d5f | The original dataset is from Amod/mental_health_counseling_conversations and has been modified to be used for training Mistral 7B. | sbgs/mental-health-dataset-mistral-7b | [
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2737927e966cbf05108ca5a373faac080bb3d864 | # Amawal Warayni
Bitext scraped from the online [AmaWar](https://amawalwarayni.com/) dictionary of the Tamazight dialect of Ait Warain spoken in northeastern Morocco.
Contains sentences, stories, and poems in Tamazight along with their translations into Modern Standard Arabic.
Big thanks to Dr. Noureddine Amhaoui fo... | Tamazight-NLP/AmaWar | [
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Contains sentences, stories, and poems in Tamazight along with their translations into Modern Standard Arabic.
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70d247d921d3b4589dd93908db422b525200b295 | # Dataset Card for "phi-winogrande_inverted_option-results"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | automated-research-group/phi-winogrande_inverted_option-results | [
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6bd80430a0ca939f12419e5ec7a6202cb0c97e69 | # [SA-Med2D-20M](https://arxiv.org/abs/2311.11969)

The largest benchmark dataset for segmentation in the field of medical imaging.
As is well known, the emergence of ImageNet has greatly propelled the development of AI... | OpenGVLab/SA-Med2D-20M | [
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!Image
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c741c5b106bbeb7a151710e584e685d802fee1aa | # Dataset Card for "fake_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/fake_dataset | [
"region:us"
] | 2023-11-26T01:28:36+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 6240, "num_examples": 8}], "download_size": 5472, "dataset_size": 6240}, "configs": [{"config_name": "default... | 2023-11-26T02:59:28+00:00 | [] | [] | TAGS
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982d5682ba414ee13cf92cb93ec18fc8e78e2b81 | # PIE Dataset Card for "sciarg"
This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the SciArg dataset ([paper](https://aclanthology.org/W18-5206/) and [data repository](https://github.com/anlausch/sciarg_resource_analysis)). Since the SciArg dataset is published in the [BRAT standoff format... | pie/sciarg | [
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] | 2023-11-26T02:41:54+00:00 | {} | 2023-12-21T14:07:27+00:00 | [] | [] | TAGS
#region-us
| PIE Dataset Card for "sciarg"
=============================
This is a PyTorch-IE wrapper for the SciArg dataset (paper and data repository). Since the SciArg dataset is published in the BRAT standoff format, this dataset builder is based on the PyTorch-IE brat dataset loading script.
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68bbaa6e5d710df361c9192cd0f1e04e933c932a | # Dataset Card for DistillChat V1 Mixture
*Note the [ODC-BY license](https://opendatacommons.org/licenses/by/1-0/), indicating that different licenses apply to subsets of the data. This means that some portions of the dataset are non-commercial. We present the mixture as a research artifact.*
The dataset consists of ... | Wanfq/distillchat_v1_mixture | [
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| Dataset Card for DistillChat V1 Mixture
=======================================
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579505f606aa77c5f98331cc58619611f113bf6e | Dataset Structure
Data Instances
An instance in the dataset represents a user's data with the following fields: msno (user id), is_churn (whether the user left the service), playtime_per_day (average daily playtime), city, bd (age), gender, registered_via (registration method), registration_init_time, payment_method_i... | kodylow/kaggle_churn | [
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] | 2023-11-26T03:06:58+00:00 | {} | 2023-11-26T03:12:57+00:00 | [] | [] | TAGS
#region-us
| Dataset Structure
Data Instances
An instance in the dataset represents a user's data with the following fields: msno (user id), is_churn (whether the user left the service), playtime_per_day (average daily playtime), city, bd (age), gender, registered_via (registration method), registration_init_time, payment_method_i... | [] | [
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73db2234779466cf4e4d014448c9b9db9c1435b4 | https://huggingface.co/datasets/jondurbin/airoboros-2.2.1
features: general, single-turn, chat
length: 42.7k | Wanfq/airoboros | [
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features: general, single-turn, chat
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6e86a366a4c3023d6eeb3ea7924437240afcbc11 | https://huggingface.co/datasets/glaiveai/glaive-code-assistant-v2
features: coding, single-turn, task
length: 215k | Wanfq/glaive_code_assistant | [
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features: coding, single-turn, task
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198555af9e953d9665f0688a9e74ecd27add312e | https://huggingface.co/datasets/LDJnr/LessWrong-Amplify-Instruct
features: general, multi-turn, chat
length: 0.663k | Wanfq/lesswrong_amplify_instruct | [
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features: general, multi-turn, chat
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1ef98442bcf314c0b8f921c4a1a5e6aa64c9b073 | https://huggingface.co/datasets/TIGER-Lab/MathInstruct
features: mathematics, single-turn, task
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length: 142k | Wanfq/mathinstruct | [
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features: mathematics, single-turn, task
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length: 142k | [] | [
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