id stringlengths 2 115 | author stringlengths 2 42 ⌀ | last_modified timestamp[us, tz=UTC] | downloads int64 0 8.87M | likes int64 0 3.84k | paperswithcode_id stringlengths 2 45 ⌀ | tags list | lastModified timestamp[us, tz=UTC] | createdAt stringlengths 24 24 | key stringclasses 1 value | created timestamp[us] | card stringlengths 1 1.01M | embedding list | library_name stringclasses 21 values | pipeline_tag stringclasses 27 values | mask_token null | card_data null | widget_data null | model_index null | config null | transformers_info null | spaces null | safetensors null | transformersInfo null | modelId stringlengths 5 111 ⌀ | embeddings list |
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xDAN-datasets/ChatDoctor-iCliniq-7.3k | xDAN-datasets | 2023-11-16T03:58:55Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T03:58:55Z | 2023-11-16T03:58:53.000Z | 2023-11-16T03:58:53 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations_icliniq
list:
- name: from
dtype: string
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dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
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num_bytes: 14328338
num_examples: 7321
download_size: 8310019
dataset_size: 14328338
---
# Dataset Card for "ChatDoctor-iCliniq-7.3k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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license: mit
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"region:us"
] | 2023-11-20T07:53:19Z | 2023-11-16T05:50:33.000Z | 2023-11-16T05:50:33 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations_chatgpt
list:
- name: from
dtype: string
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dtype: string
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splits:
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num_bytes: 14604774
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download_size: 8420745
dataset_size: 14604774
---
# Dataset Card for "ChatDoctor_chatdoctor_7k"
**数据集名称:**
*lavita/ChatDoctor-iCliniq*
**数据集原型来源:**
*https://huggingface.co/datasets/lavita/ChatDoctor-iCliniq*
**数据规模:**
*7.32k*
**数据生成:**
*由llm生成*
**数据领域:**
*医患对话*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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configs:
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data_files:
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path: data/train-*
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path: data/validation-*
dataset_info:
features:
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dtype: string
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download_size: 158682
dataset_size: 205556
---
# Dataset Card for "find_first_sent_train_100_eval_20_baseline"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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tyzhu/find_first_sent_train_50_eval_20_baseline | tyzhu | 2023-11-16T05:54:38Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T05:54:38Z | 2023-11-16T05:54:32.000Z | 2023-11-16T05:54:32 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
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path: data/validation-*
dataset_info:
features:
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dtype: string
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---
# Dataset Card for "find_first_sent_train_50_eval_20_baseline"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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license: apache-2.0
---
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pykeio/oshichats-v2 | pykeio | 2023-11-27T04:41:05Z | 0 | 1 | null | [
"task_categories:text-classification",
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:token-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"size_categories:10M<n<100M",
"language:en",
"license:cc-by-4.0",
"livestream",
"str... | 2023-11-27T04:41:05Z | 2023-11-16T06:08:32.000Z | 2023-11-16T06:08:32 | ---
license: cc-by-4.0
task_categories:
- text-classification
- conversational
- text-generation
- token-classification
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
tags:
- livestream
- stream
- chat
- messages
- vtuber
- vtubers
- twitch
- youtube
pretty_name: OshiChats v2
size_categories:
- 10M<n<100M
---
# OshiChats v2
OshiChats v2 is a dataset of 56 million high-quality English chat messages collected from various [VTuber](https://en.wikipedia.org/wiki/VTuber) live streams before 18th November 2023.
## Usage
```py
from datasets import load_dataset
chats_dataset = load_dataset('pykeio/oshichats-v2', split='train')
print(chats_dataset[0])
```
## Samples
```json
{
"liver": "Millie Parfait",
"flags": 16782594,
"stream": {
"id": "yt=aX-D4GDi14s",
"topic": "asmr"
},
"author": "Brandermau",
"message": "Thank you for the blessed week <|liver:text=TWlsbGll|>!",
"donation": true,
"score": 21.930078506469727,
"languages": [0.7040359377861023,0.1367727518081665,0.07201824337244034,0.05604061856865883,0.023007752373814583,0.008124674670398235,0.0,0.0,0.0,0.0],
"analysis": [0.01581309176981449,0.0001037662077578716,0.0016704736044630408,0.00014343550719786435,0.000602249929215759,0.00019911097479052842],
"delta_time": 365.5880126953125
}
{
"liver": "Finana Ryugu",
"flags": 16781826,
"stream": {
"id": "yt=t82VaSIfAIA",
"topic": "Final_Fantasy_Online"
},
"author": "Yuki",
"message": "Crossing fingers for her going the path I started with too so there are no extra spoilers",
"donation": false,
"score": 18.640567779541016,
"languages": [0.9631453156471252,0.021243400871753693,0.01243548933416605,0.0014567276230081916,0.0011399302165955305,0.0005791507428511977,0.0,0.0,0.0,0.0],
"analysis": [0.030425170436501503,0.0001254125963896513,0.0015225252136588097,0.0001571120519656688,0.0011026122374460101,0.0005010333843529224],
"delta_time": 140.35299682617188
}
```
## Data fields
> 💡 Click on a field to display more information.
<ul>
<li>
<details>
<summary><code>liver</code></summary>
Name of the talent hosting the live stream.
</details>
</li>
<li>
<details>
<summary><code>flags</code></summary>
Flags for the hosting talent.
The 24th bit indicates the talent uses she/her pronouns. If not set, the talent uses he/him pronouns.
The last four bits (<code>x & 0b1111</code>) indicate the liver's organization affiliation. Current affiliation values are:
<ul>
<li><code>0b0000</code>: Indie (no organization affiliation)</li>
<li><code>0b0001</code>: Hololive</li>
<li><code>0b0010</code>: Nijisanji</li>
<li><code>0b0011</code>: idol Corp</li>
<li><code>0b0100</code>: Phase Connect</li>
</ul>
</details>
</li>
<li>
<details>
<summary><code>stream</code></summary>
Information about the livestream. Contains two fields, <code>id</code> and <code>topic</code>.
<ul>
<li>
<code>topic</code> is the human-annotated topic of the live stream (i.e. <code>"talk"</code>, <code>"Minecraft"</code>, <code>"Singing"</code>), or <code>null</code> if a single topic could not be determined.
</li>
<li>
<code>id</code> is the ID of the live stream, prefixed with either <code>yt=</code> or <code>tw=</code> to indicate a YouTube or Twitch stream respectively.
</li>
</ul>
</details>
</li>
<li>
<details>
<summary><code>author</code></summary>
Display name of the author of the chat message.
</details>
</li>
<li>
<details>
<summary><code>message</code></summary>
Contents of the chat message.
Certain message contents are replaced with tags for usage in downstream tasks, see the section below on message tags for more information.
</details>
</li>
<li>
<details>
<summary><code>donation</code></summary>
Whether or not this message is a superchat or donation.
</details>
</li>
<li>
<details>
<summary><code>score</code></summary>
Neural quality score. Messages that engage in constructive conversation with the talent are rewarded with a higher score.
</details>
</li>
<li>
<details>
<summary><code>languages</code></summary>
Language detection score. In order, the languages represented in this field are: English, Japanese, Indonesian, Chinese, Korean, Tagalog, Spanish, Russian, French, German.
</details>
</li>
<li>
<details>
<summary><code>analysis</code></summary>
Internal, not intended to be used.
</details>
</li>
<li>
<details>
<summary><code>delta_time</code></summary>
The time the message was sent, represented as an offset since the beginning of the stream, in seconds.
</details>
</li>
</ul>
## Message tags
<ul>
<li>
<details>
<summary><code><|liver:text={text}|></code></summary>
References the talent by their name or one of their nicknames.
<code>text</code> is the original text, encoded as base64.
</details>
</li>
<li>
<details>
<summary><code><|fans:text={text}|></code></summary>
References the fanbase of the talent.
Some talents will give their fanbase a name, i.e. Petra Gurin refers to her viewers as "pentomos".
<code>text</code> is the original text, encoded as base64.
</details>
</li>
<li>
<details>
<summary><code><|collaborator:liver={other}:text={text}:affiliation={aff}|></code></summary>
References another talent by their name or one of their nicknames.
The talent is confirmed via human review to be present in the stream and actively collaborating with the stream host.
<code>other</code> is the full canonical name of the referenced talent.
<code>text</code> is the original text, encoded as base64.
<code>aff</code> is the affiliation of the other talent. This has two values - <code>org</code> (meaning the referenced talent is affiliated with the same organization as the stream host) and <code>none</code> (meaning the referenced talent is from another organization).
</details>
</li>
<li>
<details>
<summary><code><|collaborator-fans:text={text}|></code></summary>
References the fanbase of one of the collaborators present in the stream.
<code>text</code> is the original text, encoded as base64.
</details>
</li>
<li>
<details>
<summary><code><|maybe-collaborator:liver={other}:text={text}:affiliation={aff}|></code></summary>
References another talent by their name or one of their nicknames.
The talent <b>may or may not</b> be present in the stream.
<code>other</code> is the full canonical name of the referenced talent.
<code>text</code> is the original text, encoded as base64.
<code>aff</code> is the affiliation of the other talent. This has two values - <code>org</code> (meaning the referenced talent is affiliated with the same organization as the stream host) and <code>none</code> (meaning the referenced talent is from another organization). If the affiliation is <code>none</code>, it is safe to regard this tag as a false positive in most cases.
</details>
</li>
</ul>
## License
Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); you must give attribution to pyke.io in any derivatives of this dataset, including models trained using its data. | [
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KADUZADA/ED | KADUZADA | 2023-11-16T06:12:53Z | 0 | 0 | null | [
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license: openrail
---
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ErhaChen/oil_and_watercolor_painting | ErhaChen | 2023-11-16T06:16:51Z | 0 | 0 | null | [
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license: apache-2.0
task_categories:
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tags:
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size_categories:
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daiua/video | daiua | 2023-11-20T02:05:48Z | 0 | 1 | null | [
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license: other
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---
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xDAN-datasets/medical_meadow_medical_flashcards_34k | xDAN-datasets | 2023-11-20T07:51:36Z | 0 | 0 | null | [
"region:us"
] | 2023-11-20T07:51:36Z | 2023-11-16T06:34:48.000Z | 2023-11-16T06:34:48 | ---
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dataset_size: 31444062
---
# Dataset Card for "medical_meadow_medical_flashcards_34k"
**数据集名称:**
*medalpaca/medical_meadow_medical_flashcards*
**数据集原型来源:**
*https://huggingface.co/datasets/medalpaca/medical_meadow_medical_flashcards*
**数据规模:**
*34k*
**数据生成:**
*基于抽认卡由GPT-3.5-turbo生成*
**数据领域:**
*QA(基础医学、临床知识、 和临床技能)*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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cp500/radiology-samples | cp500 | 2023-11-16T06:42:39Z | 0 | 0 | null | [
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---
# Dataset Card for "radiology-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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animadot/gaming-hfr | animadot | 2023-11-16T10:02:04Z | 0 | 1 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-16T10:02:04Z | 2023-11-16T06:42:42.000Z | 2023-11-16T06:42:42 | ---
license: apache-2.0
dataset_info:
features:
- name: image
dtype: image
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
An image dataset for video interpolation focusing on video games
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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cp500/mri-samples | cp500 | 2023-11-16T06:43:45Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T06:43:45Z | 2023-11-16T06:43:38.000Z | 2023-11-16T06:43:38 | ---
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---
# Dataset Card for "mri-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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cp500/ultrasound-samples | cp500 | 2023-11-16T06:44:49Z | 0 | 0 | null | [
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] | 2023-11-16T06:44:49Z | 2023-11-16T06:44:47.000Z | 2023-11-16T06:44:47 | ---
configs:
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dataset_size: 5626157
---
# Dataset Card for "ultrasound-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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cp500/CT-samples | cp500 | 2023-11-16T06:48:12Z | 0 | 0 | null | [
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# Dataset Card for "CT-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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xDAN-datasets/medical_meadow_wikidoc_10k | xDAN-datasets | 2023-11-17T08:33:58Z | 0 | 0 | null | [
"region:us"
] | 2023-11-17T08:33:58Z | 2023-11-16T07:35:29.000Z | 2023-11-16T07:35:29 | ---
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download_size: 11247022
dataset_size: 20026284
---
# Dataset Card for "medical_meadow_wikidoc_10k"
**数据集名称:**
*medalpaca/medical_meadow_wikidoc*
**数据集原型来源:**
*https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc*
**数据规模:**
*10K*
**数据生成:**
*基于维基文档由GPT-3.5-turbo改写*
**数据领域:**
*QA医学知识*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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tollefj/all-nli-NOB | tollefj | 2023-11-16T07:39:01Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T07:39:01Z | 2023-11-16T07:38:54.000Z | 2023-11-16T07:38:54 | ---
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# Dataset Card for "all-nli-NOB"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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configs:
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---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
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Pablao0948/Giovanni | Pablao0948 | 2023-11-16T08:46:17Z | 0 | 0 | null | [
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] | 2023-11-16T08:46:17Z | 2023-11-16T08:45:48.000Z | 2023-11-16T08:45:48 | ---
license: openrail
---
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xDAN-datasets/medical_meadow_mediqa_2k | xDAN-datasets | 2023-11-20T07:48:23Z | 0 | 0 | null | [
"region:us"
] | 2023-11-20T07:48:23Z | 2023-11-16T08:53:19.000Z | 2023-11-16T08:53:19 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations
list:
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dtype: string
- name: value
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splits:
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download_size: 0
dataset_size: 28533080
---
# Dataset Card for "medical_meadow_mediqa_2k"
**数据集名称:**
*medalpaca/medical_meadow_mediqa*
**数据集原型来源:**
*https://huggingface.co/datasets/medalpaca/medical_meadow_mediqa*
**数据规模:**
*2k*
**数据生成:**
*人工生成*
**数据领域:**
*医患对话*
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LPFLEO/newdata1116 | LPFLEO | 2023-11-16T08:54:13Z | 0 | 0 | null | [
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license: mit
---
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license: bigscience-openrail-m
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Tianwei217/beauty-001 | Tianwei217 | 2023-11-17T09:10:50Z | 0 | 0 | null | [
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joshuapsa/gpt-generated-news-sentences | joshuapsa | 2023-11-16T09:43:33Z | 0 | 1 | null | [
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"license:mit",
"region:us"
] | 2023-11-16T09:43:33Z | 2023-11-16T09:11:30.000Z | 2023-11-16T09:11:30 | ---
dataset_info:
features:
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license: mit
task_categories:
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language:
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---
# Dataset Card
- This dataset was created solely for the purpose of code testing.
- This dataset was generated from prompting chatGPT to create sample pieces of news setences according to a topic.
- Sample prompt: "generate 50 sentences on the topic of "very recent breaking news on wars and conflicts events" with some sample location names. One example: "a missile struck near a residential building in Kiev last night, Russia denied Ukraine's accusations of attacking non-military targets""
- The output senteces were then used to construct huggingface dataset.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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zhekichhh/news3imn | zhekichhh | 2023-11-16T09:13:11Z | 0 | 0 | null | [
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"region:us"
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license: openrail
---
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AnnaSmirnova/russisan_noun_definitions | AnnaSmirnova | 2023-11-16T09:15:58Z | 0 | 0 | null | [
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task_categories:
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mutiyu20/yu_nagaba | mutiyu20 | 2023-11-16T09:26:31Z | 0 | 0 | null | [
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license: artistic-2.0
---
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Tanhu/register_label_instruction_data_en | Tanhu | 2023-11-16T09:29:07Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T09:29:07Z | 2023-11-16T09:28:50.000Z | 2023-11-16T09:28:50 | ---
dataset_info:
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splits:
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configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "register_label_instruction_data_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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ZhaoweiWang/AbstractATOMIC | ZhaoweiWang | 2023-11-16T09:29:33Z | 0 | 0 | null | [
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license: mit
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ZhaoweiWang/Levy_Holt_dataset_jsonl | ZhaoweiWang | 2023-11-16T09:35:03Z | 0 | 0 | null | [
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license: unknown
---
This is the Levy/Holt dataset in json format for better data loading. All licenses are subject to the original release.
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license: apache-2.0
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AudioDecBenchmark/librispeech_asr_dummy_synth | AudioDecBenchmark | 2023-11-16T09:42:42Z | 0 | 0 | null | [
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---
# Dataset Card for "librispeech_asr_dummy_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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ZhaoweiWang/AbsPyramid | ZhaoweiWang | 2023-11-16T09:45:46Z | 0 | 0 | null | [
"license:mit",
"region:us"
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license: mit
---
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# Dataset Card for "ICPR_big"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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# Dataset Card for "context-aware-splits-english"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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# Dataset Card for "unsilence_voc"
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# Dataset Card for "find_first_sent_train_500_eval_20_baseline"
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ksanjeev284/NikoBellic | ksanjeev284 | 2023-11-16T13:59:13Z | 0 | 0 | null | [
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# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] | [
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anesabdennebi/ids_test_all | anesabdennebi | 2023-11-16T14:06:31Z | 0 | 0 | null | [
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license: mit
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deepghs/csip | deepghs | 2023-11-21T11:29:49Z | 0 | 1 | null | [
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license: openrail
task_categories:
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kuanhuggingface/SpeechChatGPT_encodec_v3 | kuanhuggingface | 2023-11-16T14:39:31Z | 0 | 0 | null | [
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furry-br/zoey | furry-br | 2023-11-20T22:57:13Z | 0 | 0 | null | [
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license: openrail
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---
# Dataset Card for "ultrafeedback-prompts-ultrajudge-gpt35"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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danaroth/moffett_field | danaroth | 2023-11-17T13:33:47Z | 0 | 0 | null | [
"license:unknown",
"region:us"
] | 2023-11-17T13:33:47Z | 2023-11-16T15:13:06.000Z | 2023-11-16T15:13:06 | ---
license: unknown
---
# Description
This "image cube" from JPL's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) shows the volume of data returned by the instrument. AVIRIS acquired the data on August 20, 1992 when it was flown on a NASA ER-2 plane at an altitude of 20,000 meters (65,000 feet) over Moffett Field, California, at the southern end of the San Francisco Bay.
The top of the cube is a false-color image made to accentuate the structure in the water and evaporation ponds on the right. Also visible on the top of the cube is the Moffett Field airport.
The sides of the cube are slices showing the edges of the top in all 224 of the AVIRIS spectral channels. The tops of the sides are in the visible part of the spectrum (wavelength of 400 nanometers), and the bottoms are in the infrared (2,500 nanometers). The sides are pseudo-color, ranging from black and blue (low response) to red (high response).
Of particular interest is the small region of high response in the upper right corner of the larger side. This response is in the red part of the visible spectrum (about 700 nanometers), and is due to the presence of 1-centimeter-long (half-inch) red brine shrimp in the evaporation pond.
# Quick look
<figure>
<img src= "assets/avcubesmall.png" alt="Moffett" width="200" />
<figcaption>Moffett field datacube.</figcaption>
</figure>
<figure>
<img src= "extra/f080611t01p00r07_sc01_RGB.jpeg" alt="Moffett" width="200" />
<figcaption>Orthoregistered product RGB visualization.</figcaption>
</figure>
# Credits
Dataset made available for free download by [NASA Jet Propulsion Laboratory](https://aviris.jpl.nasa.gov/data/image_cube.html) of the California Instityte of Technology.
Original download link:
https://aviris.jpl.nasa.gov/data/free_data.html
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---
# Dataset Card for "gpt-generated-news-paragraphs"
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# Dataset Card for "cnn_dailymail_2048"
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---
# Dataset Card for "librispeech_asr_dummy_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
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### Direct Use
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### Out-of-Scope Use
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[More Information Needed]
## Dataset Structure
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[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] | [
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doanhm/dataset_generate_music | doanhm | 2023-11-22T01:59:22Z | 0 | 0 | null | [
"size_categories:100B<n<1T",
"language:ae",
"license:mit",
"chemistry",
"code",
"region:us"
] | 2023-11-22T01:59:22Z | 2023-11-16T16:21:26.000Z | 2023-11-16T16:21:26 | ---
license: mit
language:
- ae
tags:
- chemistry
- code
size_categories:
- 100B<n<1T
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
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**APA:**
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[More Information Needed] | [
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GMillot/donnee-data.gouv-2022-geographie2023-produit-le2023-07-17 | GMillot | 2023-11-16T16:32:26Z | 0 | 0 | null | [
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kuanhuggingface2/SpeechChatGPT_encodec_v3 | kuanhuggingface2 | 2023-11-16T16:45:19Z | 0 | 0 | null | [
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Freela/zeah | Freela | 2023-11-16T17:17:03Z | 0 | 0 | null | [
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nekofura/rpd | nekofura | 2023-11-17T00:44:50Z | 0 | 0 | null | [
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serJD/testImageDataset100 | serJD | 2023-11-16T16:54:50Z | 0 | 0 | null | [
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