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tyzhu/find_last_sent_train_50_eval_40 | tyzhu | 2023-11-08T06:31:40Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T06:31:40Z | 2023-11-08T06:29:41.000Z | 2023-11-08T06:29:41 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
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linxin020826/dehazing_test | linxin020826 | 2023-11-08T06:47:38Z | 0 | 0 | null | [
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aigeek0x0/alpaca-gpt4-1000 | aigeek0x0 | 2023-11-15T00:37:55Z | 0 | 1 | null | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-11-15T00:37:55Z | 2023-11-08T07:11:45.000Z | 2023-11-08T07:11:45 | ---
license: cc-by-nc-4.0
---
The dataset consists of 1000 randomly selected rows from the original [alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4) dataset. | [
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KETI-AIR/kor_anli | KETI-AIR | 2023-11-15T01:18:06Z | 0 | 0 | anli | [
"task_categories:text-classification",
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"task_ids:multi-input-text-classification",
"size_categories:100K<n<1M",
"language:ko",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-11-15T01:18:06Z | 2023-11-08T07:39:41.000Z | 2023-11-08T07:39:41 | ---
language:
- ko
license:
- cc-by-nc-4.0
size_categories:
- 100K<n<1M
task_categories:
- text-classification
task_ids:
- natural-language-inference
- multi-input-text-classification
paperswithcode_id: anli
pretty_name: Adversarial NLI
dataset_info:
features:
- name: data_index_by_user
dtype: int32
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0.32905715703964... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Non-safety_and_inductive_Prompt_data | Nexdata | 2023-11-22T09:37:42Z | 0 | 0 | null | [
"task_categories:text-generation",
"task_categories:zero-shot-classification",
"language:zh",
"region:us"
] | 2023-11-22T09:37:42Z | 2023-11-08T08:02:36.000Z | 2023-11-08T08:02:36 | ---
task_categories:
- text-generation
- zero-shot-classification
language:
- zh
---
# Dataset Card for Nexdata/Non-safety_and_inductive_Prompt_data
## Description
Non-safety and inductive Prompt data, about 500,000 in total, this dataset can be used for tasks such as LLM training, chatgpt
For more details, please re... | [
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0.190940439701080... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Unsupervised_Text_Data_For_Literary_Subjects | Nexdata | 2023-11-10T07:21:54Z | 0 | 0 | null | [
"task_categories:conversational",
"language:zh",
"region:us"
] | 2023-11-10T07:21:54Z | 2023-11-08T08:05:07.000Z | 2023-11-08T08:05:07 | ---
task_categories:
- conversational
language:
- zh
---
# Dataset Card for Nexdata/Unsupervised_Text_Data_For_Literary_Subjects
## Description
Subjects content data, about 1T in total; each piece of subjects' content contains title,text,author,date,subject,keyword; this dataset can be used for tasks such as LLM train... | [
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0.0695911273360... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data | Nexdata | 2023-11-10T07:19:51Z | 0 | 0 | null | [
"language:zh",
"region:us"
] | 2023-11-10T07:19:51Z | 2023-11-08T08:08:11.000Z | 2023-11-08T08:08:11 | ---
language:
- zh
---
# Dataset Card for Nexdata/Multi-Round_Interpersonal_Dialogues_Text_Data
## Description
This database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and B are the codes to replace the... | [
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0.224368020892143... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Chinese_Medical_Question_Answering_Data | Nexdata | 2023-11-10T07:18:08Z | 0 | 3 | null | [
"task_categories:question-answering",
"language:zh",
"region:us"
] | 2023-11-10T07:18:08Z | 2023-11-08T08:10:28.000Z | 2023-11-08T08:10:28 | ---
task_categories:
- question-answering
language:
- zh
---
# Dataset Card for Nexdata/Chinese_Medical_Question_Answering_Data
## Description
The data contains 203,029 groups Chinese question answering data between doctors and patients of different diseases.
For more details, please refer to the link: https://www.ne... | [
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0.15121254324913025... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Minnan_Dialect_Pronunciation_Dictionary | Nexdata | 2023-11-10T07:17:04Z | 0 | 0 | null | [
"task_categories:automatic-speech-recognition",
"region:us"
] | 2023-11-10T07:17:04Z | 2023-11-08T08:11:55.000Z | 2023-11-08T08:11:55 | ---
task_categories:
- automatic-speech-recognition
---
# Dataset Card for Nexdata/Minnan_Dialect_Pronunciation_Dictionary
## Description
Each entry consists of three parts: words, pinyin, and tones. The dictionary can be used to provide pronunciation reference for sound recording personnel, research, and development ... | [
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0.4938161969184875... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Cantonese_Pronunciation_Dictionary | Nexdata | 2023-11-10T07:17:36Z | 0 | 0 | null | [
"task_categories:automatic-speech-recognition",
"region:us"
] | 2023-11-10T07:17:36Z | 2023-11-08T08:13:30.000Z | 2023-11-08T08:13:30 | ---
task_categories:
- automatic-speech-recognition
---
# Dataset Card for Nexdata/Cantonese_Pronunciation_Dictionary
## Description
This pronunciation dictionary collects words with dialect characteristics in Guangdong cantonese regions. Each entry consists of three parts: words, pinyin and tones. The dictionary can ... | [
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0.28044813871383667... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Mandarin_Pronunciation_Dictionary | Nexdata | 2023-11-10T07:16:45Z | 0 | 0 | null | [
"task_categories:automatic-speech-recognition",
"language:zh",
"region:us"
] | 2023-11-10T07:16:45Z | 2023-11-08T08:14:47.000Z | 2023-11-08T08:14:47 | ---
task_categories:
- automatic-speech-recognition
language:
- zh
---
# Dataset Card for Nexdata/Mandarin_Pronunciation_Dictionary
## Description
The data contains 570,060 entries. All words and pronunciations are produced by linguists. It can be used in the research and development of Mandarin ASR technology.
For m... | [
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k8tems/splats | k8tems | 2023-11-08T08:16:41Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T08:16:41Z | 2023-11-08T08:16:05.000Z | 2023-11-08T08:16:05 | Entry not found | [
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Nexdata/Japanese_Pronunciation_Dictionary | Nexdata | 2023-11-10T07:16:29Z | 0 | 0 | null | [
"task_categories:automatic-speech-recognition",
"language:ja",
"region:us"
] | 2023-11-10T07:16:29Z | 2023-11-08T08:16:14.000Z | 2023-11-08T08:16:14 | ---
task_categories:
- automatic-speech-recognition
language:
- ja
---
# Dataset Card for Nexdata/Japanese_Pronunciation_Dictionary
## Description
The data contains 101,702 entries. All words and pronunciations are produced by Japanese linguists. It can be used in the research and development of Japanese ASR technolog... | [
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0.387434244155... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/English_Pronunciation_Dictionary | Nexdata | 2023-11-10T07:16:06Z | 0 | 0 | null | [
"task_categories:automatic-speech-recognition",
"language:en",
"region:us"
] | 2023-11-10T07:16:06Z | 2023-11-08T08:17:32.000Z | 2023-11-08T08:17:32 | ---
task_categories:
- automatic-speech-recognition
language:
- en
---
# Dataset Card for Nexdata/English_Pronunciation_Dictionary
## Description
The data contains 500,113 entries. All words and pronunciations are produced by English linguists. It can be used in the research and development of English ASR technology.
... | [
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0.476295590400... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Nexdata/Korean_Pronunciation_Dictionary | Nexdata | 2023-11-10T07:16:18Z | 0 | 0 | null | [
"task_categories:automatic-speech-recognition",
"language:ko",
"region:us"
] | 2023-11-10T07:16:18Z | 2023-11-08T08:18:47.000Z | 2023-11-08T08:18:47 | ---
task_categories:
- automatic-speech-recognition
language:
- ko
---
# Dataset Card for Nexdata/Korean_Pronunciation_Dictionary
## Description
The data contains 444,202 entries. All words and pronunciations are produced by Korean linguists. It can be used in the research and development of Korean ASR technology.
Fo... | [
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0.4293049275875091... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
nlplabtdtu/wikihow-processes-vi | nlplabtdtu | 2023-11-08T08:53:12Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T08:53:12Z | 2023-11-08T08:47:45.000Z | 2023-11-08T08:47:45 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
yuancj/character-profiles-romance-prepare | yuancj | 2023-11-08T08:56:34Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T08:56:34Z | 2023-11-08T08:54:21.000Z | 2023-11-08T08:54:21 | ---
dataset_info:
features: []
splits:
- name: train
num_bytes: 0
num_examples: 0
download_size: 0
dataset_size: 0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "character-profiles-romance-prepare"
[More Information needed](https://github... | [
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fate7/weather4cast | fate7 | 2023-11-08T09:10:33Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-08T09:10:33Z | 2023-11-08T09:10:33.000Z | 2023-11-08T09:10:33 | ---
license: apache-2.0
---
| [
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mhenrichsen/creator | mhenrichsen | 2023-11-08T09:20:26Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T09:20:26Z | 2023-11-08T09:20:23.000Z | 2023-11-08T09:20:23 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: conversations
list:
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dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 375555
num_examples: 1000
download_size: 11378
dataset_size: 375555
configs:
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elzooz/Amod_mental_health_counseling_conversations | elzooz | 2023-11-08T09:27:51Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-08T09:27:51Z | 2023-11-08T09:27:51.000Z | 2023-11-08T09:27:51 | ---
license: openrail
---
| [
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baixue6269/character-profiles-romance-output | baixue6269 | 2023-11-08T10:00:39Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T10:00:39Z | 2023-11-08T09:28:13.000Z | 2023-11-08T09:28:13 | ---
dataset_info:
features:
- name: name
dtype: string
- name: categories
sequence: string
- name: personalities
sequence: string
- name: description
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yuancj/character-profiles-romance-prepare2 | yuancj | 2023-11-08T11:25:53Z | 0 | 0 | null | [
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dataset_info:
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ianjayyuson/solo_pic | ianjayyuson | 2023-11-08T20:45:15Z | 0 | 0 | null | [
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albertvillanova/wiki | albertvillanova | 2023-11-08T09:56:09Z | 0 | 0 | null | [
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CarrotzRule123/crawl-apu.edu | CarrotzRule123 | 2023-11-08T09:58:19Z | 0 | 0 | null | [
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arieg/bw_spec_cls_80 | arieg | 2023-11-08T09:58:53Z | 0 | 0 | null | [
"region:us"
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configs:
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data_files:
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path: data/train-*
dataset_info:
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AdamMashaka/MCV | AdamMashaka | 2023-11-08T09:59:05Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-08T09:59:05Z | 2023-11-08T09:59:05.000Z | 2023-11-08T09:59:05 | ---
license: apache-2.0
---
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faizalnf1800/bangs_under_sidepart_hairstyle_anime_woman | faizalnf1800 | 2023-11-08T09:59:42Z | 0 | 0 | null | [
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ldp72/test2 | ldp72 | 2023-11-08T10:03:13Z | 0 | 0 | null | [
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Nexdata/English-Japanese_Parallel_Corpus_Data | Nexdata | 2023-11-10T07:15:01Z | 0 | 0 | null | [
"task_categories:translation",
"language:en",
"language:ja",
"region:us"
] | 2023-11-10T07:15:01Z | 2023-11-08T10:47:40.000Z | 2023-11-08T10:47:40 | ---
task_categories:
- translation
language:
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---
# Dataset Card for Nexdata/English-Japanese_Parallel_Corpus_Data
## Description
The 850,000 English Japanese Parallel Corpus Data is a bilingual text is stored in text format. It covers multiple fields such as tourism, medical treatment, daily life, news, etc.... | [
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Nexdata/Japanese-English_Parallel_Corpus_Data | Nexdata | 2023-11-10T07:13:07Z | 0 | 0 | null | [
"task_categories:translation",
"language:ja",
"region:us"
] | 2023-11-10T07:13:07Z | 2023-11-08T10:50:47.000Z | 2023-11-08T10:50:47 | ---
task_categories:
- translation
language:
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---
# Dataset Card for Nexdata/Japanese-English_Parallel_Corpus_Data
## Description
Japanese and English parallel corpus, 380,000 groups in total; excluded political, porn, personal information and other sensitive vocabulary; it can be a base corpus for text-based data... | [
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Nexdata/Traditional_Chinese_Oral_Message_Data | Nexdata | 2023-11-10T07:12:42Z | 0 | 0 | null | [
"task_categories:conversational",
"language:zh",
"region:us"
] | 2023-11-10T07:12:42Z | 2023-11-08T10:53:38.000Z | 2023-11-08T10:53:38 | ---
task_categories:
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language:
- zh
---
# Dataset Card for Nexdata/Traditional_Chinese_Oral_Message_Data
## Description
Traditional Chinese SMS corpus, 10 million in total, real traditional Chinese spoken language text data; only contains text messages; the content is stored in txt format; the data se... | [
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Nexdata/Cantonese_Script_Data | Nexdata | 2023-11-10T07:11:31Z | 0 | 0 | null | [
"region:us"
] | 2023-11-10T07:11:31Z | 2023-11-08T10:55:02.000Z | 2023-11-08T10:55:02 |
---
# Dataset Card for Nexdata/Cantonese_Script_Data
## Description
Cantonese textual data, 82 million pieces in total; data is collected from Cantonese script text; data set can be used for natural language understanding, knowledge base construction and other tasks.
For more details, please refer to the link: https... | [
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Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes | Nexdata | 2023-11-10T07:09:51Z | 0 | 0 | null | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2023-11-10T07:09:51Z | 2023-11-08T10:56:30.000Z | 2023-11-08T10:56:30 | ---
task_categories:
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language:
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---
# Dataset Card for Nexdata/English_Intention_Annotation_Data_in_Interactive_Scenes
## Description
84,516 Sentences - English Intention Annotation Data in Interactive Scenes, annotated with intent classes, including slot and slot value information; the inten... | [
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Nexdata/Chinese-Japanese_Parallel_Corpus_Data | Nexdata | 2023-11-10T07:23:13Z | 0 | 0 | null | [
"task_categories:translation",
"language:ja",
"language:zh",
"region:us"
] | 2023-11-10T07:23:13Z | 2023-11-08T11:00:00.000Z | 2023-11-08T11:00:00 | ---
task_categories:
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language:
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---
# Dataset Card for Nexdata/Chinese-Japanese_Parallel_Corpus_Data
## Description
9.83 Million Pairs of Sentences - Chinese-Japanese Parallel Corpus Data be stored in txt format. It covers multiple fields including general, IT, news, patent, and international en... | [
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Nexdata/Chinese-Korean_Parallel_Corpus_Data | Nexdata | 2023-11-10T07:05:57Z | 0 | 0 | null | [
"task_categories:translation",
"language:ko",
"region:us"
] | 2023-11-10T07:05:57Z | 2023-11-08T11:01:33.000Z | 2023-11-08T11:01:33 | ---
task_categories:
- translation
language:
- ko
---
# Dataset Card for Nexdata/Chinese-Korean_Parallel_Corpus_Data
## Description
12,820,000 sets of parallel translation corpus between China and Korea, which are stored in txt files. It covers many fields including spoken language, traveling, news, and finance. Data ... | [
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faizalnf1800/web_novel_cover_image | faizalnf1800 | 2023-11-08T11:07:09Z | 0 | 0 | null | [
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MyRebRIc/tomas | MyRebRIc | 2023-11-08T11:11:18Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-08T11:11:18Z | 2023-11-08T11:07:53.000Z | 2023-11-08T11:07:53 | ---
license: openrail
---
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Rezuwan/Parrot60_Dataset | Rezuwan | 2023-11-08T14:20:27Z | 0 | 0 | null | [
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license: apache-2.0
---
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gttsehu/basque_parlament_1 | gttsehu | 2023-11-08T11:32:29Z | 0 | 0 | null | [
"license:cc0-1.0",
"region:us"
] | 2023-11-08T11:32:29Z | 2023-11-08T11:32:29.000Z | 2023-11-08T11:32:29 | ---
license: cc0-1.0
---
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sushi009/hf_test_repo | sushi009 | 2023-11-08T11:46:24Z | 0 | 0 | null | [
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Martin7412/Azure | Martin7412 | 2023-11-08T11:58:35Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T11:58:35Z | 2023-11-08T11:57:08.000Z | 2023-11-08T11:57:08 | Types of Resource Locks
Shared vs. Exclusive Locks
In Azure, shared locks, or read-only locks, allow authorized users to view a <a href="https://dumpsmedia.com/education/an-azure-resource-can-have-multiple-delete-locks/">An Azure Resource can have Multiple Delete Locksl</a> resource but prevent modifications. Exclusive... | [
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open-llm-leaderboard/details_Weyaxi__OpenOrca-Nebula-7B_public | open-llm-leaderboard | 2023-11-08T12:01:52Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T12:01:52Z | 2023-11-08T12:00:48.000Z | 2023-11-08T12:00:48 | ---
pretty_name: Evaluation run of Weyaxi/OpenOrca-Nebula-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Weyaxi/OpenOrca-Nebula-7B](https://huggingface.co/Weyaxi/OpenOrca-Nebula-7B)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | [
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open-llm-leaderboard/details_pankajmathur__Mistral-7B-model_45k6e2e4_public | open-llm-leaderboard | 2023-11-08T12:04:33Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T12:04:33Z | 2023-11-08T12:03:34.000Z | 2023-11-08T12:03:34 | ---
pretty_name: Evaluation run of pankajmathur/Mistral-7B-model_45k6e2e4
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [pankajmathur/Mistral-7B-model_45k6e2e4](https://huggingface.co/pankajmathur/Mistral-7B-model_45k6e2e4)\
\ on the [Open LLM Leaderboard](https://huggingface... | [
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Praghxx/Nosred | Praghxx | 2023-11-08T12:26:00Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-08T12:26:00Z | 2023-11-08T12:04:13.000Z | 2023-11-08T12:04:13 | ---
license: openrail
---
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AgelessBodySystem/Ageless-Body-System-Official-Website | AgelessBodySystem | 2023-11-08T12:22:42Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T12:22:42Z | 2023-11-08T12:22:42.000Z | 2023-11-08T12:22:42 | Entry not found | [
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exactor101/amarDataSet | exactor101 | 2023-11-08T12:31:05Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T12:31:05Z | 2023-11-08T12:31:05.000Z | 2023-11-08T12:31:05 | Entry not found | [
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Oedipe/modeleagg | Oedipe | 2023-11-08T20:40:10Z | 0 | 0 | null | [
"license:unknown",
"region:us"
] | 2023-11-08T20:40:10Z | 2023-11-08T12:45:54.000Z | 2023-11-08T12:45:54 | ---
license: unknown
---
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md-nishat-008/OffMix-3L | md-nishat-008 | 2023-11-08T12:56:32Z | 0 | 0 | null | [
"license:cc-by-nd-4.0",
"arxiv:2310.18387",
"region:us"
] | 2023-11-08T12:56:32Z | 2023-11-08T12:55:53.000Z | 2023-11-08T12:55:53 | ---
license: cc-by-nd-4.0
---
# OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification
**Publication**: *The 11th International Workshop on Natural Language Processing for Social Media (SocialNLP) under AACL-2023.*
**Read in [arXiv](https://arxiv.org/pdf/2310.18387.pdf)**... | [
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Otter-AI/ShareGPT4-V | Otter-AI | 2023-11-08T23:20:22Z | 0 | 0 | null | [
"license:mit",
"region:us"
] | 2023-11-08T23:20:22Z | 2023-11-08T13:05:25.000Z | 2023-11-08T13:05:25 | ---
license: mit
---
We use our demo's backend user logs (filtered to make sure do not contain any senstive and user related information) to query GPT4-V and share the questions/response.
For each user log, we query GPT4-V to answer the user's questions and let it self-instruct to generate 4-5 questions and answers re... | [
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0.06302519887685... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
dialbird/mental_health_chatbot_dataset | dialbird | 2023-11-08T13:14:28Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T13:14:28Z | 2023-11-08T13:14:24.000Z | 2023-11-08T13:14:24 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 189421
num_examples: 172
download_size: 102271
dataset_size: 189421
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "mental_health_chatbot_dataset"... | [
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hazmannaim/angkasfera_text | hazmannaim | 2023-11-08T13:21:31Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T13:21:31Z | 2023-11-08T13:17:04.000Z | 2023-11-08T13:17:04 | Entry not found | [
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gh1407/synthetic_causal_pairs | gh1407 | 2023-11-08T14:23:26Z | 0 | 0 | null | [
"license:mit",
"region:us"
] | 2023-11-08T14:23:26Z | 2023-11-08T13:37:47.000Z | 2023-11-08T13:37:47 | ---
license: mit
dataset_info:
features:
- name: 'Unnamed: 0.1'
dtype: int64
- name: 'Unnamed: 0'
dtype: int64
- name: outlet
dtype: string
- name: headline
dtype: string
- name: body
dtype: string
- name: political_leaning
dtype: string
- name: gpt_causal_graph
dtype: string... | [
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-0.2591407895088196,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
NandinhoVinicius/henrique | NandinhoVinicius | 2023-11-08T13:47:20Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-08T13:47:20Z | 2023-11-08T13:38:20.000Z | 2023-11-08T13:38:20 | ---
license: apache-2.0
---
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NandinhoVinicius/henriqueju | NandinhoVinicius | 2023-11-08T13:50:25Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-08T13:50:25Z | 2023-11-08T13:49:33.000Z | 2023-11-08T13:49:33 | ---
license: apache-2.0
---
| [
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open-llm-leaderboard/details_teknium__CollectiveCognition-v1.1-Mistral-7B_public | open-llm-leaderboard | 2023-11-08T13:52:33Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T13:52:33Z | 2023-11-08T13:51:33.000Z | 2023-11-08T13:51:33 | ---
pretty_name: Evaluation run of teknium/CollectiveCognition-v1.1-Mistral-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [teknium/CollectiveCognition-v1.1-Mistral-7B](https://huggingface.co/teknium/CollectiveCognition-v1.1-Mistral-7B)\
\ on the [Open LLM Leaderboard](http... | [
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0.26840144395... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
gray311/Dolphins-Bench | gray311 | 2023-11-16T08:29:49Z | 0 | 0 | null | [
"license:llama2",
"region:us"
] | 2023-11-16T08:29:49Z | 2023-11-08T14:04:06.000Z | 2023-11-08T14:04:06 | ---
license: llama2
---
| [
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zhengr/ultrafeedback_binarized | zhengr | 2023-11-08T14:18:27Z | 0 | 0 | null | [
"task_categories:conversational",
"task_categories:text-generation",
"language:en",
"license:mit",
"arxiv:2310.16944",
"region:us"
] | 2023-11-08T14:18:27Z | 2023-11-08T14:18:08.000Z | 2023-11-08T14:18:08 | ---
language:
- en
license: mit
task_categories:
- conversational
- text-generation
pretty_name: UltraFeedback Binarized
configs:
- config_name: default
data_files:
- split: train_sft
path: data/train_sft-*
- split: test_sft
path: data/test_sft-*
- split: train_gen
path: data/train_gen-*
- split: ... | [
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zx2045284/medicine | zx2045284 | 2023-11-08T14:37:08Z | 0 | 0 | null | [
"medical",
"region:us"
] | 2023-11-08T14:37:08Z | 2023-11-08T14:33:46.000Z | 2023-11-08T14:33:46 | ---
tags:
- medical
--- | [
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RescorerLM/LibriSpeech-Vocabulary | RescorerLM | 2023-11-08T14:35:25Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T14:35:25Z | 2023-11-08T14:35:15.000Z | 2023-11-08T14:35:15 | Entry not found | [
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zhengr/ultrachat_200k | zhengr | 2023-11-08T14:47:02Z | 0 | 0 | null | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"arxiv:2305.14233",
"arxiv:2310.16944",
"region:us"
] | 2023-11-08T14:47:02Z | 2023-11-08T14:46:06.000Z | 2023-11-08T14:46:06 | ---
language:
- en
license: mit
size_categories:
- 100K<n<1M
task_categories:
- conversational
- text-generation
pretty_name: UltraChat 200k
configs:
- config_name: default
data_files:
- split: train_sft
path: data/train_sft-*
- split: test_sft
path: data/test_sft-*
- split: train_gen
path: data/tra... | [
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0.0252635981887... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
open-llm-leaderboard/details_aiplanet__panda-coder-13B_public | open-llm-leaderboard | 2023-11-08T14:54:23Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T14:54:23Z | 2023-11-08T14:54:15.000Z | 2023-11-08T14:54:15 | ---
pretty_name: Evaluation run of aiplanet/panda-coder-13B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [aiplanet/panda-coder-13B](https://huggingface.co/aiplanet/panda-coder-13B) on\
\ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | [
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0.27318283915519... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
arieg/bw_spec_cls_80_10 | arieg | 2023-11-08T15:06:40Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T15:06:40Z | 2023-11-08T15:06:32.000Z | 2023-11-08T15:06:32 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '26007'
'1': '26008'
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BEE-spoke-data/code-tutorials-en | BEE-spoke-data | 2023-11-28T23:53:28Z | 0 | 0 | null | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"source_datasets:mponty/code_tutorials",
"language:en",
"license:odc-by",
"region:us"
] | 2023-11-28T23:53:28Z | 2023-11-08T15:09:01.000Z | 2023-11-08T15:09:01 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
- config_name: unfiltered
data_files:
- split: train
path: unfiltered/train-*
dataset_info:
- config_name: default
features:
- nam... | [
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0.546562135219574... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
materials-toolkits/materials-project | materials-toolkits | 2023-11-23T14:45:15Z | 0 | 0 | null | [
"size_categories:100K<n<1M",
"license:mit",
"chemistry",
"region:us"
] | 2023-11-23T14:45:15Z | 2023-11-08T15:12:18.000Z | 2023-11-08T15:12:18 | ---
license: mit
tags:
- chemistry
pretty_name: Materials Project
size_categories:
- 100K<n<1M
---
# Dataset
Materials project (2019 dump)
This dataset contains 133420 materials with formation energy per atom.
Processed from [mp.2019.04.01.json](https://figshare.com/articles/dataset/Graphs_of_Materials_Project_2019... | [
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0.1221947520971... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
zhengr/UltraFeedback | zhengr | 2023-11-08T15:15:16Z | 0 | 0 | null | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] | 2023-11-08T15:15:16Z | 2023-11-08T15:14:57.000Z | 2023-11-08T15:14:57 | ---
license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- 100K<n<1M
---
## Introduction
- [GitHub Repo](https://github.com/thunlp/UltraFeedback)
- [UltraRM-13b](https://huggingface.co/openbmb/UltraRM-13b)
- [UltraCM-13b](https://huggingface.co/openbmb/UltraCM-13b)
UltraFeedback is a **large... | [
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arieg/bw_spec_cls_80_11 | arieg | 2023-11-08T15:30:59Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T15:30:59Z | 2023-11-08T15:30:52.000Z | 2023-11-08T15:30:52 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
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lilacai/nature-of-code-local-noc-book-github | lilacai | 2023-11-08T15:48:10Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T15:48:10Z | 2023-11-08T15:47:53.000Z | 2023-11-08T15:47:53 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/nature-of-code](https://huggingface.co/spaces/lilacai/nature-of-code).
Lilac dataset config:
```namespace: local
name: noc-book-github
source:
repo: nature-of-code/noc-book-2023
ignore_directories:
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0.0761318579316139... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Wellkarte/VOZ | Wellkarte | 2023-11-08T15:52:08Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T15:52:08Z | 2023-11-08T15:50:21.000Z | 2023-11-08T15:50:21 | Entry not found | [
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shaaz10/AUBP | shaaz10 | 2023-11-08T15:50:56Z | 0 | 0 | null | [
"license:unknown",
"region:us"
] | 2023-11-08T15:50:56Z | 2023-11-08T15:50:56.000Z | 2023-11-08T15:50:56 | ---
license: unknown
---
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jestx/test | jestx | 2023-11-08T15:52:38Z | 0 | 0 | null | [
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arieg/bw_spec_cls_80_12 | arieg | 2023-11-08T15:56:02Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T15:56:02Z | 2023-11-08T15:55:55.000Z | 2023-11-08T15:55:55 | ---
configs:
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data_files:
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path: data/train-*
dataset_info:
features:
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dtype: image
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joyfine/TruthfulQA_CoT_GPT4 | joyfine | 2023-11-08T15:59:42Z | 0 | 0 | null | [
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] | 2023-11-08T15:59:42Z | 2023-11-08T15:57:07.000Z | 2023-11-08T15:57:07 | Entry not found | [
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argilla/uf-zephyr-iteration2 | argilla | 2023-11-08T16:09:25Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T16:09:25Z | 2023-11-08T15:59:14.000Z | 2023-11-08T15:59:14 | ---
dataset_info:
features:
- name: input
dtype: string
splits:
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num_bytes: 6238
num_examples: 10
download_size: 6878
dataset_size: 6238
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "uf-zephyr-iteration2"
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open-llm-leaderboard/details_OpenBuddy__openbuddy-llama2-70b-v10.1-bf16_public | open-llm-leaderboard | 2023-11-08T16:10:27Z | 0 | 0 | null | [
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] | 2023-11-08T16:10:27Z | 2023-11-08T16:10:18.000Z | 2023-11-08T16:10:18 | ---
pretty_name: Evaluation run of OpenBuddy/openbuddy-llama2-70b-v10.1-bf16
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [OpenBuddy/openbuddy-llama2-70b-v10.1-bf16](https://huggingface.co/OpenBuddy/openbuddy-llama2-70b-v10.1-bf16)\
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arieg/bw_spec_cls_80_13 | arieg | 2023-11-08T16:21:14Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T16:21:14Z | 2023-11-08T16:21:06.000Z | 2023-11-08T16:21:06 | ---
configs:
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data_files:
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path: data/train-*
dataset_info:
features:
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NikiTricky/test2 | NikiTricky | 2023-11-08T16:41:58Z | 0 | 0 | null | [
"size_categories:n<1K",
"region:us"
] | 2023-11-08T16:41:58Z | 2023-11-08T16:29:16.000Z | 2023-11-08T16:29:16 | ---
size_categories:
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open-llm-leaderboard/details_elinas__chronos007-70b_public | open-llm-leaderboard | 2023-11-08T16:36:36Z | 0 | 0 | null | [
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] | 2023-11-08T16:36:36Z | 2023-11-08T16:36:28.000Z | 2023-11-08T16:36:28 | ---
pretty_name: Evaluation run of elinas/chronos007-70b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [elinas/chronos007-70b](https://huggingface.co/elinas/chronos007-70b) on the [Open\
\ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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pidakwo/imdb_reviews | pidakwo | 2023-11-08T16:40:45Z | 0 | 0 | null | [
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] | 2023-11-08T16:40:45Z | 2023-11-08T16:40:45.000Z | 2023-11-08T16:40:45 | ---
license: afl-3.0
---
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Fredd2/Dreambooth3 | Fredd2 | 2023-11-08T16:56:35Z | 0 | 0 | null | [
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AnilKamat/Ducks | AnilKamat | 2023-11-15T23:27:23Z | 0 | 0 | null | [
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"region:us"
] | 2023-11-15T23:27:23Z | 2023-11-08T16:45:17.000Z | 2023-11-08T16:45:17 | ---
license: apache-2.0
---
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arieg/bw_spec_cls_80_14 | arieg | 2023-11-08T16:46:08Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T16:46:08Z | 2023-11-08T16:46:01.000Z | 2023-11-08T16:46:01 | ---
configs:
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data_files:
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path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
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Jojolands/aryrao_data | Jojolands | 2023-11-08T17:24:22Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-08T17:24:22Z | 2023-11-08T16:49:14.000Z | 2023-11-08T16:49:14 | ---
license: openrail
---
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determined-ai/xsum_short | determined-ai | 2023-11-08T16:52:46Z | 0 | 0 | null | [
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] | 2023-11-08T16:52:46Z | 2023-11-08T16:52:44.000Z | 2023-11-08T16:52:44 | ---
configs:
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data_files:
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path: data/train-*
dataset_info:
features:
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manu/swiss_legislation | manu | 2023-11-08T16:57:39Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T16:57:39Z | 2023-11-08T16:57:12.000Z | 2023-11-08T16:57:12 | ---
dataset_info:
features:
- name: text
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 276089490
num_examples: 11197
download_size: 114594480
dataset_size: 276089490
---
# Dataset Card for "swiss_legislation"
[More Information needed](https://github.com/huggingfa... | [
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open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.2-7B_public | open-llm-leaderboard | 2023-11-08T16:59:57Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T16:59:57Z | 2023-11-08T16:58:50.000Z | 2023-11-08T16:58:50 | ---
pretty_name: Evaluation run of PeanutJar/Mistral-v0.1-PeanutButter-v0.0.2-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [PeanutJar/Mistral-v0.1-PeanutButter-v0.0.2-7B](https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.2-7B)\
\ on the [Open LLM Leaderboard... | [
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open-llm-leaderboard/details_psmathur__model_101_public | open-llm-leaderboard | 2023-11-08T17:03:15Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T17:03:15Z | 2023-11-08T17:03:06.000Z | 2023-11-08T17:03:06 | ---
pretty_name: Evaluation run of psmathur/model_101
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [psmathur/model_101](https://huggingface.co/psmathur/model_101) on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe d... | [
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open-llm-leaderboard/details_internlm__internlm-20b-chat_public | open-llm-leaderboard | 2023-11-08T17:10:39Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T17:10:39Z | 2023-11-08T17:10:30.000Z | 2023-11-08T17:10:30 | ---
pretty_name: Evaluation run of internlm/internlm-20b-chat
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [internlm/internlm-20b-chat](https://huggingface.co/internlm/internlm-20b-chat)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_le... | [
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arieg/bw_spec_cls_80_15 | arieg | 2023-11-08T17:10:52Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T17:10:52Z | 2023-11-08T17:10:46.000Z | 2023-11-08T17:10:46 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
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open-llm-leaderboard/details_Weyaxi__TekniumAiroboros-Nebula-7B_public | open-llm-leaderboard | 2023-11-08T17:23:24Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T17:23:24Z | 2023-11-08T17:22:18.000Z | 2023-11-08T17:22:18 | ---
pretty_name: Evaluation run of Weyaxi/TekniumAiroboros-Nebula-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Weyaxi/TekniumAiroboros-Nebula-7B](https://huggingface.co/Weyaxi/TekniumAiroboros-Nebula-7B)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugg... | [
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atom-in-the-universe/bild-deduped-16 | atom-in-the-universe | 2023-11-26T18:10:28Z | 0 | 0 | null | [
"region:us"
] | 2023-11-26T18:10:28Z | 2023-11-08T17:30:58.000Z | 2023-11-08T17:30:58 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ChristophSchuhmann/DFN_378_emotion_detector | ChristophSchuhmann | 2023-11-16T20:19:51Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T20:19:51Z | 2023-11-08T17:32:08.000Z | 2023-11-08T17:32:08 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
arincon/llm-detect | arincon | 2023-11-08T17:33:10Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T17:33:10Z | 2023-11-08T17:32:57.000Z | 2023-11-08T17:32:57 | ---
configs:
- config_name: default
data_files:
- split: '01'
path: data/01-*
- split: '02'
path: data/02-*
- split: '03'
path: data/03-*
- split: '04'
path: data/04-*
dataset_info:
features:
- name: text
dtype: string
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dtype: int64
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dtype: string... | [
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arieg/bw_spec_cls_80_16 | arieg | 2023-11-08T17:35:40Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T17:35:40Z | 2023-11-08T17:35:32.000Z | 2023-11-08T17:35:32 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
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names:
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arthurmluz/wikilingua_data-wiki_gptextsum_results | arthurmluz | 2023-11-08T17:51:07Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T17:51:07Z | 2023-11-08T17:49:20.000Z | 2023-11-08T17:49:20 | ---
dataset_info:
features:
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arieg/bw_spec_cls_80_17 | arieg | 2023-11-08T18:00:38Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T18:00:38Z | 2023-11-08T18:00:31.000Z | 2023-11-08T18:00:31 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
dataset_info:
features:
- name: image
dtype: image
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arthurmluz/temario_data-xlsum_gptextsum_results | arthurmluz | 2023-11-08T18:19:54Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T18:19:54Z | 2023-11-08T18:13:22.000Z | 2023-11-08T18:13:22 | ---
dataset_info:
features:
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arieg/bw_spec_cls_80_18 | arieg | 2023-11-08T18:25:35Z | 0 | 0 | null | [
"region:us"
] | 2023-11-08T18:25:35Z | 2023-11-08T18:25:26.000Z | 2023-11-08T18:25:26 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
dataset_info:
features:
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