datasetId
stringlengths 2
117
| author
stringlengths 2
42
⌀ | last_modified
timestamp[us, tz=UTC] | downloads
int64 0
9.36M
| likes
int64 0
3.89k
| tags
list | task_categories
list | createdAt
timestamp[us, tz=UTC] | card
stringlengths 19
1.01M
| embedding
list |
|---|---|---|---|---|---|---|---|---|---|
vwxyzjn/summarize_from_feedback_oai_preprocessing_gpt2_48
|
vwxyzjn
| 2023-11-28T19:23:43Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T02:07:48Z |
---
dataset_info:
features:
- name: info
struct:
- name: id
dtype: string
- name: post
dtype: string
- name: title
dtype: string
- name: subreddit
dtype: string
- name: site
dtype: string
- name: article
dtype: string
- name: summaries
list:
- name: text
dtype: string
- name: policy
dtype: string
- name: note
dtype: string
- name: choice
dtype: int32
- name: worker
dtype: string
- name: batch
dtype: string
- name: split
dtype: string
- name: extra
struct:
- name: confidence
dtype: int32
- name: query_token
sequence: int64
- name: query
dtype: string
- name: response0
dtype: string
- name: response0_token
sequence: int64
- name: response0_token_len
dtype: int64
- name: response1
dtype: string
- name: response1_token
sequence: int64
- name: response1_token_len
dtype: int64
- name: response0_policy
dtype: string
- name: response1_policy
dtype: string
- name: policies
dtype: string
splits:
- name: train
num_bytes: 790831734
num_examples: 92858
- name: validation
num_bytes: 743452770
num_examples: 86086
download_size: 125252937
dataset_size: 1534284504
---
# Dataset Card for "summarize_from_feedback_oai_preprocessing_gpt2_48"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
bot-yaya/undl_ar2en_translation
|
bot-yaya
| 2023-11-23T11:54:22Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T02:09:06Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: clean_ar
sequence: string
- name: clean_en
sequence: string
- name: record
dtype: string
- name: ar2en
sequence: string
splits:
- name: train
num_bytes: 16560948916
num_examples: 165840
download_size: 0
dataset_size: 16560948916
---
# Dataset Card for "undl_ar2en_translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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gus013666/gusvoz
|
gus013666
| 2023-11-23T02:47:01Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-23T02:13:23Z |
---
license: openrail
---
|
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] |
Kaue123456/FoFaoOrivalPessini
|
Kaue123456
| 2023-11-23T02:27:38Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-23T02:26:12Z |
---
license: openrail
---
|
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thomasavare/waste-classification-audio-deepl2
|
thomasavare
| 2023-11-23T02:39:43Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T02:39:24Z |
---
dataset_info:
features:
- name: audio
dtype: audio
- name: speaker
dtype: string
- name: transcription
dtype: string
- name: translation
dtype: string
- name: Class
dtype: string
- name: Class_index
dtype: float64
splits:
- name: train
num_bytes: 286785505.0
num_examples: 500
download_size: 286773624
dataset_size: 286785505.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
txya900619/test
|
txya900619
| 2023-11-23T02:50:45Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T02:47:15Z |
---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 2046263540.88
num_examples: 27261
download_size: 2298708365
dataset_size: 2046263540.88
---
|
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leoozyhg/12312123
|
leoozyhg
| 2023-11-23T03:01:12Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-23T03:01:12Z |
---
license: openrail
---
|
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DylanJHJ/pdsearch-corpus
|
DylanJHJ
| 2023-11-23T03:57:24Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T03:31:55Z |
---
license: apache-2.0
---
|
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] |
Justj493/test03_3
|
Justj493
| 2023-11-23T03:36:38Z | 0 | 0 |
[
"license:agpl-3.0",
"region:us"
] | null | 2023-11-23T03:36:37Z |
---
license: agpl-3.0
---
|
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] |
longlian/RCF-UnsupVideoSeg-Datasets
|
longlian
| 2023-11-23T04:43:34Z | 0 | 0 |
[
"license:other",
"region:us"
] | null | 2023-11-23T03:43:38Z |
---
license: other
license_name: original-dataset-license
license_link: LICENSE
---
|
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] |
collabora/indic-superb-augmented
|
collabora
| 2023-11-23T04:22:12Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T03:51:35Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
- name: duration
dtype: float64
splits:
- name: train
num_bytes: 46157129192.0
num_examples: 24872
- name: test
num_bytes: 1594957930.0
num_examples: 872
download_size: 47266159084
dataset_size: 47752087122.0
---
# Dataset Card for "indic-superb-augmented"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
amd-nicknick/processed_bert_dataset
|
amd-nicknick
| 2023-11-23T04:21:45Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T04:10:24Z |
---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: token_type_ids
sequence: int8
- name: attention_mask
sequence: int8
- name: special_tokens_mask
sequence: int8
splits:
- name: train
num_bytes: 24027285600.0
num_examples: 6674246
download_size: 5887301738
dataset_size: 24027285600.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
bot-yaya/undl_es2en_aligned
|
bot-yaya
| 2023-11-23T11:55:18Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T04:21:00Z |
---
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
dtype: string
- name: dst_text
dtype: string
- name: src_rate
dtype: float64
- name: dst_rate
dtype: float64
splits:
- name: train
num_bytes: 10706600254
num_examples: 15967431
download_size: 0
dataset_size: 10706600254
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "undl_es2en_aligned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
bot-yaya/undl_ar2en_aligned
|
bot-yaya
| 2023-11-23T11:54:37Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T04:28:32Z |
---
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
dtype: string
- name: dst_text
dtype: string
- name: src_rate
dtype: float64
- name: dst_rate
dtype: float64
splits:
- name: train
num_bytes: 12012712129
num_examples: 15217906
download_size: 0
dataset_size: 12012712129
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "undl_ar2en_aligned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
solosolipsist/bibliotheque-mordecai-richler
|
solosolipsist
| 2023-11-23T06:46:49Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-23T05:30:00Z |
---
license: mit
---
|
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0.26214760541915894,
0.04487833380699158,
-0.6869441866874695
] |
nsjzg/dataset1
|
nsjzg
| 2023-11-27T03:41:15Z | 0 | 0 |
[
"task_categories:image-classification",
"size_categories:n<1K",
"language:en",
"human face",
"region:us"
] |
[
"image-classification"
] | 2023-11-23T05:35:02Z |
---
task_categories:
- image-classification
language:
- en
tags:
- human face
size_categories:
- n<1K
---
# Dataset
|
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] |
tyzhu/find_sent_after_sent_train_400_eval_40_first_permute
|
tyzhu
| 2023-11-23T06:11:50Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T06:11:44Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: title
dtype: string
- name: context
dtype: string
splits:
- name: train
num_bytes: 5866475.834053587
num_examples: 4188
- name: validation
num_bytes: 232483
num_examples: 200
download_size: 1246832
dataset_size: 6098958.834053587
---
# Dataset Card for "find_sent_after_sent_train_400_eval_40_first_permute"
[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_sent_after_sent_train_400_eval_40_last_permute
|
tyzhu
| 2023-11-23T06:11:57Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T06:11:51Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: title
dtype: string
- name: context
dtype: string
splits:
- name: train
num_bytes: 5866475.834053587
num_examples: 4188
- name: validation
num_bytes: 232483
num_examples: 200
download_size: 1244208
dataset_size: 6098958.834053587
---
# Dataset Card for "find_sent_after_sent_train_400_eval_40_last_permute"
[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_sent_after_sent_train_400_eval_40_no_permute
|
tyzhu
| 2023-11-23T06:12:05Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T06:11:58Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: title
dtype: string
- name: context
dtype: string
splits:
- name: train
num_bytes: 5866475.834053587
num_examples: 4188
- name: validation
num_bytes: 232483
num_examples: 200
download_size: 1126325
dataset_size: 6098958.834053587
---
# Dataset Card for "find_sent_after_sent_train_400_eval_40_no_permute"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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Deojoandco/capstone_fromgpt_without_gold_v4
|
Deojoandco
| 2023-11-23T06:52:31Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T06:52:27Z |
---
dataset_info:
features:
- name: dialog_id
dtype: int64
- name: dialogue
dtype: string
- name: summary
dtype: string
- name: gold_tags
dtype: string
- name: gpt_success
dtype: bool
- name: gpt_response
dtype: string
- name: gold_tags_tokens_count
dtype: int64
- name: GPT_TAGS_FOUND
dtype: bool
- name: gpt_output_tags
dtype: string
- name: gpt_output_tag_tokens_count
dtype: int64
- name: GPT_MI_FOUND
dtype: bool
- name: gpt_tags_token_count
dtype: int64
- name: gpt_tags
dtype: string
- name: tag_token_count_match
dtype: bool
splits:
- name: test
num_bytes: 20862
num_examples: 12
download_size: 22567
dataset_size: 20862
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# Dataset Card for "capstone_fromgpt_without_gold_v4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
tyzhu/squad_qa_num_v5_full_recite_ans_sent
|
tyzhu
| 2023-11-23T07:20:50Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T07:04:46Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: answer
dtype: string
- name: context_id
dtype: string
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 7745401
num_examples: 5070
- name: validation
num_bytes: 403389
num_examples: 300
download_size: 0
dataset_size: 8148790
---
# Dataset Card for "squad_qa_num_v5_full_recite_ans_sent"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
tyzhu/squad_qa_wrong_num_v5_full_recite_ans_sent
|
tyzhu
| 2023-11-23T07:21:24Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T07:06:41Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: answer
dtype: string
- name: context_id
dtype: string
- name: correct_id
dtype: string
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 7801171
num_examples: 5070
- name: validation
num_bytes: 406689
num_examples: 300
download_size: 0
dataset_size: 8207860
---
# Dataset Card for "squad_qa_wrong_num_v5_full_recite_ans_sent"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
syedbilalh96/Pakistan_cities_town_villages
|
syedbilalh96
| 2023-11-23T07:07:05Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-23T07:07:05Z |
---
license: unknown
---
|
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] |
tyzhu/squad_qa_wrong_num_v5_full_recite_full_passage
|
tyzhu
| 2023-11-23T07:21:46Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T07:21:36Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: answer
dtype: string
- name: context_id
dtype: string
- name: correct_id
dtype: string
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 9173896
num_examples: 5070
- name: validation
num_bytes: 584108
num_examples: 300
download_size: 1807899
dataset_size: 9758004
---
# Dataset Card for "squad_qa_wrong_num_v5_full_recite_full_passage"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
Deojoandco/capstone_fromgpt_without_gold_v5
|
Deojoandco
| 2023-11-23T07:31:15Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T07:31:12Z |
---
dataset_info:
features:
- name: dialog_id
dtype: int64
- name: dialogue
dtype: string
- name: summary
dtype: string
- name: gold_tags
dtype: string
- name: gpt_success
dtype: bool
- name: gpt_response
dtype: string
- name: gold_tags_tokens_count
dtype: int64
- name: GPT_TAGS_FOUND
dtype: bool
- name: gpt_output_tags
dtype: string
- name: gpt_output_tag_tokens_count
dtype: int64
- name: GPT_MI_FOUND
dtype: bool
- name: gpt_tags_token_count
dtype: int64
- name: gpt_tags
dtype: string
- name: tag_token_count_match
dtype: bool
splits:
- name: test
num_bytes: 19859
num_examples: 12
download_size: 21426
dataset_size: 19859
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# Dataset Card for "capstone_fromgpt_without_gold_v5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
Deojoandco/capstone_fromgpt_without_gold_v6
|
Deojoandco
| 2023-11-23T07:53:49Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T07:53:47Z |
---
dataset_info:
features:
- name: dialog_id
dtype: int64
- name: dialogue
dtype: string
- name: summary
dtype: string
- name: gold_tags
dtype: string
- name: gpt_success
dtype: bool
- name: gpt_response
dtype: string
- name: gold_tags_tokens_count
dtype: int64
- name: GPT_TAGS_FOUND
dtype: bool
- name: gpt_output_tags
dtype: string
- name: gpt_output_tag_tokens_count
dtype: int64
- name: GPT_MI_FOUND
dtype: bool
- name: gpt_tags_token_count
dtype: int64
- name: gpt_tags
dtype: string
- name: tag_token_count_match
dtype: bool
splits:
- name: test
num_bytes: 20174
num_examples: 12
download_size: 21461
dataset_size: 20174
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# Dataset Card for "capstone_fromgpt_without_gold_v6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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Mousaicv/gpt4_reward_with_format
|
Mousaicv
| 2023-11-23T09:30:55Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T09:28:26Z |
---
license: apache-2.0
---
|
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centroIA/MistralLlamaformat
|
centroIA
| 2023-11-23T11:37:27Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T10:22:39Z |
---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 2638662
num_examples: 967
download_size: 702207
dataset_size: 2638662
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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centroIA/ZephyrFormat
|
centroIA
| 2023-11-23T11:36:54Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T10:28:48Z |
---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 2664771
num_examples: 967
download_size: 706398
dataset_size: 2664771
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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-0.016066566109657288,
0.26214760541915894,
0.04487833380699158,
-0.6869441866874695
] |
angelika/CRAB
|
angelika
| 2023-11-26T16:09:58Z | 0 | 1 |
[
"task_categories:text-classification",
"task_categories:multiple-choice",
"size_categories:1K<n<10K",
"language:en",
"arxiv:2311.04284",
"region:us"
] |
[
"text-classification",
"multiple-choice"
] | 2023-11-23T10:59:07Z |
---
task_categories:
- text-classification
- multiple-choice
language:
- en
size_categories:
- 1K<n<10K
---
# CRAB: Causal Reasoning Assessment Benchmark
## Dataset Details
## Dataset Creation
## Splits - Tasks
### Pairwise Causality Assessment
### Graded Causality Assessment
## Citation
To cite 🦀 CRAB, please use:
```
@inproceedings{romanou2023crab,
title={CRAB: Assessing the Strength of Causal Relationships Between Real-world Events},
author={Angelika Romanou and Syrielle Montariol and Debjit Paul and Leo Laugier and Karl Aberer and Antoine Bosselut},
year={2023},
eprint={2311.04284},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
|
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VXDAW/adad
|
VXDAW
| 2023-11-23T11:09:12Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-23T11:08:55Z |
---
license: unknown
---
|
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Bluebomber182/Elevenlabs-Voices
|
Bluebomber182
| 2023-11-23T11:24:22Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-23T11:10:39Z |
---
license: unknown
---
|
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] |
Double-k/aatst
|
Double-k
| 2023-11-23T11:14:54Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T11:14:54Z |
---
license: apache-2.0
---
|
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dennisc1/mc4_nl_sentences_test
|
dennisc1
| 2023-11-23T11:18:28Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T11:18:25Z |
---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 14701
num_examples: 121
download_size: 14203
dataset_size: 14701
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "mc4_nl_sentences_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
bigcode/stack-exchange-preferences-20230914-clean-anonymization
|
bigcode
| 2023-11-23T11:59:24Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T11:36:10Z |
---
dataset_info:
features:
- name: qid
dtype: int64
- name: question
dtype: string
- name: answers
list:
- name: answer_id
dtype: int64
- name: author
dtype: string
- name: author_id
dtype: int64
- name: author_profile
dtype: string
- name: pm_score
dtype: int64
- name: selected
dtype: bool
- name: text
dtype: string
- name: date
dtype: string
- name: metadata
sequence: string
splits:
- name: train
num_bytes: 37966876013
num_examples: 10404628
download_size: 17879223994
dataset_size: 37966876013
---
# Dataset Card for "stack-exchange-preferences-20230914-clean-anonymization"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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brainways/sample-project
|
brainways
| 2023-11-30T11:01:35Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T11:53:26Z |
---
license: apache-2.0
---
|
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] |
datasets-examples/doc-unsupported-1
|
datasets-examples
| 2023-11-23T12:47:05Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T12:11:51Z |
---
configs:
- config_name: csv
data_files: "*.csv"
- config_name: tsv
data_files: "*.tsv"
- config_name: json
data_files: "*.json"
- config_name: jsonl
data_files: "*.jsonl"
- config_name: txt
data_files: "*.txt"
size_categories:
- n<1K
---
# [doc] formats 1
This dataset contains files for a collection of supported formats, each of which is loaded in a different config (see the YAML field `configs`).
|
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datasets-examples/doc-formats-csv-1
|
datasets-examples
| 2023-11-23T14:14:43Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:04:55Z |
---
size_categories:
- n<1K
---
# [doc] formats - csv - 1
This dataset contains one csv file at the root:
- [data.csv](./data.csv)
```csv
kind,sound
dog,woof
cat,meow
pokemon,pika
human,hello
```
The YAML section of the README does not contain anything related to loading the data (only the size category metadata):
```yaml
---
size_categories:
- n<1K
---
```
|
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Jingkang/PVSG
|
Jingkang
| 2023-11-29T17:52:11Z | 0 | 0 |
[
"license:mit",
"arxiv:2310.15166",
"region:us"
] | null | 2023-11-23T13:07:42Z |
---
license: mit
---
We carefully collect 400 videos, each featuring dynamic scenes and rich in logical reasoning content. On average, these videos are 76.5 seconds long (5 FPS). The collection comprises 289 videos from VidOR, 55 videos from EpicKitchen, and 56 videos from Ego4D.
Please `git clone` https://github.com/LilyDaytoy/OpenPVSG and organize your files according to the structure below.
You can put the HF dataset in `data_zip` directory.
```
├── assets
├── checkpoints
├── configs
├── data
├── data_zip
│ ├── Ego4D
│ │ ├── ego4d_masks.zip
│ │ └── ego4d_videos.zip
│ ├── EpicKitchen
│ │ ├── epic_kitchen_masks.zip
│ │ └── epic_kitchen_videos.zip
│ ├── VidOR
│ │ ├── vidor_masks.zip
│ │ └── vidor_videos.zip
│ └── pvsg.json
├── datasets
├── models
├── scripts
├── tools
├── utils
├── .gitignore
├── environment.yml
└── README.md
```
Please run unzip_and_extract.py to unzip the files and extract frames from the videos. If you use zip, make sure to use `unzip -j xxx.zip` to remove junk paths. You should have your data directory looks like this:
```
data
├── ego4d
│ ├── frames
│ ├── masks
│ └── videos
├── epic_kitchen
│ ├── frames
│ ├── masks
│ └── videos
├── vidor
│ ├── frames
│ ├── masks
│ └── videos
└── pvsg.json
```
We suggest our users to play with `./notebooks/Visualize_Dataset.ipynb` to quickly get familiar with PVSG dataset.
## Citation
For more information about the methods used in this dataset, please refer to the following paper:
[Panoptic Video Scene Graph Generation](https://arxiv.org/abs/2310.15166), arXiv:2310.15166.
|
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] |
datasets-examples/doc-formats-csv-2
|
datasets-examples
| 2023-11-23T14:16:21Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:11:22Z |
---
configs:
- config_name: default
data_files: "*.csv"
sep: ","
size_categories:
- n<1K
---
# [doc] formats - csv - 2
This dataset contains one csv file at the root:
- [data.csv](./data.csv)
```csv
kind,sound
dog,woof
cat,meow
pokemon,pika
human,hello
```
We define the separator as `","` in the YAML config, as well as the config name and the location of the file, with a glob expression:
```yaml
---
configs:
- config_name: default
data_files: "*.csv"
sep: ","
size_categories:
- n<1K
---
```
|
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] |
datasets-examples/doc-formats-tsv-1
|
datasets-examples
| 2023-11-23T14:26:30Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:13:01Z |
---
size_categories:
- n<1K
---
# [doc] formats - tsv - 1
This dataset contains one tsv file at the root:
- [data.tsv](./data.tsv)
```csv
kind sound
dog woof
cat meow
pokemon pika
human hello
```
The YAML section of the README does not contain anything related to loading the data (only the size category metadata):
```yaml
---
size_categories:
- n<1K
---
```
The delimiter is automatically set to `"\t"` (tabulation) because of the `.tsv` extension of the data file.
|
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] |
datasets-examples/doc-formats-tsv-2
|
datasets-examples
| 2023-11-23T14:28:12Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:14:04Z |
---
configs:
- config_name: default
data_files: "*.tsv"
sep: "\t"
size_categories:
- n<1K
---
# [doc] formats - tsv - 2
This dataset contains one tsv file at the root:
- [data.tsv](./data.tsv)
```csv
kind sound
dog woof
cat meow
pokemon pika
human hello
```
We define the separator as `"\t"` (tabulation) in the YAML config, as well as the config name and the location of the file, with a glob expression:
```yaml
configs:
- config_name: default
data_files: "*.tsv"
sep: "\t"
size_categories:
- n<1K
```
|
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] |
datasets-examples/doc-formats-jsonl-1
|
datasets-examples
| 2023-11-23T13:23:51Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:23:15Z |
---
size_categories:
- n<1K
---
# [doc] formats - jsonl - 1
This dataset contains one jsonl file at the root.
|
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] |
chemNLP/ncbi-text
|
chemNLP
| 2023-11-23T13:24:48Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T13:24:17Z |
---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 780112934
num_examples: 38420
download_size: 395931561
dataset_size: 780112934
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
datasets-examples/doc-formats-json-1
|
datasets-examples
| 2023-11-23T14:11:53Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:24:42Z |
---
size_categories:
- n<1K
---
# [doc] formats - json - 1
This dataset contains one json file at the root. It's a list of rows, each of which is a dict of columns.
|
[
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] |
severo/doc-formats-txt-1
|
severo
| 2023-11-23T13:28:00Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:26:59Z |
---
size_categories:
- n<1K
---
# [doc] formats - txt - 1
This dataset contains one txt file at the root. It can only contain one column of strings.
|
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datasets-examples/doc-formats-csv-3
|
datasets-examples
| 2023-11-23T14:20:20Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T13:58:27Z |
---
configs:
- config_name: default
data_files: "data.csv"
delimiter: "|"
header: 1
names: ["kind", "sound"]
size_categories:
- n<1K
---
# [doc] formats - csv - 3
This dataset contains one csv file at the root:
- [data.csv](./data.csv)
```csv
# ignored comment
col1|col2
dog|woof
cat|meow
pokemon|pika
human|hello
```
We define the config name in the YAML config, as well as the exact location of the file, the separator as `"|"`, the name of the columns, and the number of rows to ignore (the row #1 is a row of column headers, that will be replaced by the `names` option, and the row #0 is ignored). The reference for the options is the [documentation of pandas.read_csv()](https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html).
```yaml
---
configs:
- config_name: default
data_files: "data.csv"
delimiter: "|"
header: 1
names: ["kind", "sound"]
size_categories:
- n<1K
---
```
|
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] |
datasets-examples/doc-formats-tsv-3
|
datasets-examples
| 2023-11-23T14:38:41Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T14:01:15Z |
---
configs:
- config_name: default
data_files: "data.tsv"
names: ["kind", "sound"]
size_categories:
- n<1K
---
# [doc] formats - tsv - 3
This dataset contains one tsv file at the root:
- [data.tsv](./data.tsv)
```tsv
dog woof
cat meow
pokemon pika
human hello
```
We define the config name in the YAML config, the file's exact location, and the columns' name. As we provide the `names` option, but not the `header` one, the first row in the file is considered a row of values, not a row of column names. The delimiter is set to `"\t"` (tabulation) due to the file's extension. The reference for the options is the [documentation of pandas.read_csv()](https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html).
```yaml
---
configs:
- config_name: default
data_files: "data.tsv"
names: ["kind", "sound"]
size_categories:
- n<1K
---
```
|
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] |
severo/doc-formats-json-2
|
severo
| 2023-11-23T14:12:22Z | 0 | 0 |
[
"size_categories:n<1K",
"region:us"
] | null | 2023-11-23T14:12:06Z |
---
size_categories:
- n<1K
---
# [doc] formats - json - 2
This dataset contains one json file at the root. It's a dictionary of columns, each of which is a list of values.
|
[
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Siki-77/amazon6
|
Siki-77
| 2023-11-23T14:18:42Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T14:16:50Z |
---
license: apache-2.0
---
|
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davide221/test
|
davide221
| 2023-11-23T14:19:00Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T14:18:58Z |
---
dataset_info:
features:
- name: conversations
list:
- name: assistant
dtype: string
- name: user
dtype: string
splits:
- name: train
num_bytes: 623
num_examples: 2
download_size: 2567
dataset_size: 623
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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Siki-77/amazon
|
Siki-77
| 2023-11-23T14:19:36Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T14:19:36Z |
---
license: apache-2.0
---
|
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davide221/test2
|
davide221
| 2023-11-23T14:24:01Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T14:23:56Z |
---
dataset_info:
features:
- name: conversations
list:
- name: assistant
dtype: string
- name: user
dtype: string
splits:
- name: train
num_bytes: 623
num_examples: 2
download_size: 2567
dataset_size: 623
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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davide221/test3
|
davide221
| 2023-11-23T14:26:40Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T14:26:38Z |
---
dataset_info:
features:
- name: conversations
list:
- name: assistant
dtype: string
- name: user
dtype: string
splits:
- name: train
num_bytes: 623
num_examples: 2
download_size: 2567
dataset_size: 623
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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yuyijiong/LongAlpaca-Chinese
|
yuyijiong
| 2023-11-29T06:18:02Z | 0 | 1 |
[
"language:zh",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2023-11-23T14:39:20Z |
---
license: cc-by-nc-4.0
language:
- zh
---
* 仿照[Yukang/LongAlpaca-12k](https://huggingface.co/datasets/Yukang/LongAlpaca-12k)设计的中文版LongAlpaca数据集，数据质量更高，类型更多，长度更长，且使用多轮对话形式。
* 可满足扩展模型context window至32k长度的指令微调训练。
* 所有数据的text均已经转化为chatml对话格式。
## 数据集样本长度统计（使用qwen的tokenizer进行分词）：
input_ids长度为0-4096的样本数：1144；占比：0.12 \
input_ids长度为4096-8192的样本数：1103；占比：0.11 \
input_ids长度为8192-16384的样本数：2245；占比：0.24 \
input_ids长度为16384-24576的样本数：990；占比：0.10 \
input_ids长度为24576-32768的样本数：3661；占比：0.39 \
input_ids长度大于32768的样本数：196 \
总样本数：9339 \
平均长度：18292.95920334083
|
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mtkinit/mtkinit_SuperNovyDataset
|
mtkinit
| 2023-11-23T14:47:48Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T14:47:48Z |
---
pretty_name: mtkinit/SuperNovyDataset
---
# mtkinit/SuperNovyDataset
Created from AIOD platform
|
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] |
afmck/common_voice_13_0_hi_pseudo_labelled
|
afmck
| 2023-11-23T15:35:12Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T15:01:49Z |
---
dataset_info:
config_name: zh-TW
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
- name: variant
dtype: string
- name: whisper_transcript
sequence: int64
splits:
- name: train
num_bytes: 160498655.447
num_examples: 6799
- name: validation
num_bytes: 122880246.375
num_examples: 4825
- name: test
num_bytes: 142152848.375
num_examples: 4825
download_size: 398340449
dataset_size: 425531750.197
configs:
- config_name: zh-TW
data_files:
- split: train
path: zh-TW/train-*
- split: validation
path: zh-TW/validation-*
- split: test
path: zh-TW/test-*
---
|
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Kaue123456/BrutusAndreLuizChapeu
|
Kaue123456
| 2023-11-23T15:09:22Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-23T15:07:15Z |
---
license: openrail
---
|
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] |
mtkinit/mtkinit_TestNewDataset
|
mtkinit
| 2023-11-23T15:11:34Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T15:11:32Z |
---
pretty_name: mtkinit/TestNewDataset
---
# mtkinit/TestNewDataset
Created from AIOD platform
|
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NicolasPre/autotrain-data-q39f-3y39-lb2f
|
NicolasPre
| 2023-11-23T15:23:09Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T15:23:02Z |
---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: autotrain_text
dtype: string
splits:
- name: train
num_bytes: 46221549
num_examples: 52002
- name: validation
num_bytes: 46221549
num_examples: 52002
download_size: 48492298
dataset_size: 92443098
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# Dataset Card for "autotrain-data-q39f-3y39-lb2f"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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NicolasPre/autotrain-data-fif2-4i5q-ck77
|
NicolasPre
| 2023-11-23T15:24:59Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T15:24:51Z |
---
dataset_info:
features:
- name: story_id
dtype: string
- name: answer_char_ranges
dtype: string
- name: is_answer_absent
dtype: float64
- name: is_question_bad
dtype: string
- name: validated_answers
dtype: string
- name: autotrain_text
dtype: string
splits:
- name: train
num_bytes: 19785529
num_examples: 119633
- name: validation
num_bytes: 19785529
num_examples: 119633
download_size: 24113024
dataset_size: 39571058
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# Dataset Card for "autotrain-data-fif2-4i5q-ck77"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
mtkinit/mtkinit_hellothere
|
mtkinit
| 2023-11-23T15:33:28Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T15:33:27Z |
---
pretty_name: mtkinit/hellothere
---
# mtkinit/hellothere
Created from AIOD platform
|
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] |
fossoescp/morality
|
fossoescp
| 2023-11-23T16:02:33Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-23T16:02:03Z |
---
license: mit
---
|
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nabo/socdes_monster
|
nabo
| 2023-11-23T16:04:52Z | 0 | 0 |
[
"license:ecl-2.0",
"region:us"
] | null | 2023-11-23T16:04:52Z |
---
license: ecl-2.0
---
|
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] |
YigitKoca/Turkish_Arc
|
YigitKoca
| 2023-11-23T16:14:29Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T16:09:42Z |
---
license: apache-2.0
---
|
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lfcc/ner_archive_pt
|
lfcc
| 2023-11-23T16:43:28Z | 0 | 0 |
[
"task_categories:token-classification",
"size_categories:100K<n<1M",
"language:pt",
"region:us"
] |
[
"token-classification"
] | 2023-11-23T16:11:37Z |
---
task_categories:
- token-classification
language:
- pt
size_categories:
- 100K<n<1M
---
### Dataset
This dataset was created by consolidating information from various Portuguese Archives.
We gathered data from these archives and subsequently performed manual annotation of each harvested corpus with Named Entities such as Person, Place, Date, Profession and Organization.
The resulting dataset was formed by merging all the individual corpora into a unified corpus which we named "ner-archive-pt" and can be accessed at: http://ner.epl.di.uminho.pt/
### Citation
```bibtex
@Article{make4010003,
AUTHOR = {Cunha, Luís Filipe and Ramalho, José Carlos},
TITLE = {NER in Archival Finding Aids: Extended},
JOURNAL = {Machine Learning and Knowledge Extraction},
VOLUME = {4},
YEAR = {2022},
NUMBER = {1},
PAGES = {42--65},
URL = {https://www.mdpi.com/2504-4990/4/1/3},
ISSN = {2504-4990},
ABSTRACT = {The amount of information preserved in Portuguese archives has increased over the years. These documents represent a national heritage of high importance, as they portray the country’s history. Currently, most Portuguese archives have made their finding aids available to the public in digital format, however, these data do not have any annotation, so it is not always easy to analyze their content. In this work, Named Entity Recognition solutions were created that allow the identification and classification of several named entities from the archival finding aids. These named entities translate into crucial information about their context and, with high confidence results, they can be used for several purposes, for example, the creation of smart browsing tools by using entity linking and record linking techniques. In order to achieve high result scores, we annotated several corpora to train our own Machine Learning algorithms in this context domain. We also used different architectures, such as CNNs, LSTMs, and Maximum Entropy models. Finally, all the created datasets and ML models were made available to the public with a developed web platform, NER@DI.},
DOI = {10.3390/make4010003}
}
```
|
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matjsz/comments_sales
|
matjsz
| 2023-11-23T16:15:43Z | 0 | 0 |
[
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:pt",
"license:mit",
"region:us"
] |
[
"text-classification"
] | 2023-11-23T16:14:19Z |
---
license: mit
task_categories:
- text-classification
language:
- pt
size_categories:
- 1K<n<10K
---
|
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] |
Tk108263/Tk
|
Tk108263
| 2023-11-23T16:18:50Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-23T16:18:50Z |
---
license: apache-2.0
---
|
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] |
mtkinit/mtkinit_test_xyz_aaa
|
mtkinit
| 2023-11-23T16:29:27Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T16:21:24Z |
---
pretty_name: mtkinit/test_xyz_aaa
---
# mtkinit/test_xyz_aaa
Created from AIOD platform
|
[
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] |
helloerikaaa/solar-activity-history
|
helloerikaaa
| 2023-11-23T16:49:18Z | 0 | 0 |
[
"task_categories:time-series-forecasting",
"annotations_creators:found",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"timeseries",
"astronomy",
"solar-activity",
"region:us"
] |
[
"time-series-forecasting"
] | 2023-11-23T16:29:55Z |
---
language:
- en
license: mit
tags:
- timeseries
- astronomy
- solar-activity
annotations_creators:
- found
pretty_name: SolarActivity
task_categories:
- time-series-forecasting
dataset_info:
features:
- name: date
dtype: datetime
- name: year
dtype: int
- name: month
dtype: int
- name: day
dtype: int
- name: datefracc
dtype: float
- name: counts
dtype: int
- name: std
dtype: float
- name: nobs
dtype: int
- name: indicator
dtype: string
size_categories:
- 10K<n<100K
---
|
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mtkinit/mtkinit_andre_jo_vo_potesenie
|
mtkinit
| 2023-11-23T16:30:19Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T16:30:19Z |
---
pretty_name: mtkinit/andre-jo-vo-potesenie
---
# mtkinit/andre-jo-vo-potesenie
Created from AIOD platform
|
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furry-br/mammon
|
furry-br
| 2023-11-23T16:43:30Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-23T16:43:13Z |
---
license: openrail
---
|
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severo/tmp-1
|
severo
| 2023-11-23T17:41:17Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T17:21:55Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: content
dtype: string
- name: poster
dtype: string
- name: date_utc
dtype: timestamp[us]
- name: flair
dtype: string
- name: title
dtype: string
- name: score
dtype: int64
- name: permalink
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 250
num_examples: 1
download_size: 5088
dataset_size: 250
---
# Dataset Card for "dataset-creator-reddit-amitheasshole"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
AppleHarem/hoshino_bluearchive
|
AppleHarem
| 2023-11-23T17:28:26Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-23T17:28:07Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of hoshino (Blue Archive)
This is the dataset of hoshino (Blue Archive), containing 150 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/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 150 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 420 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 477 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 150 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 150 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 150 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 420 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 420 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 300 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 477 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 477 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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] |
nayohan/multi_session_chat
|
nayohan
| 2023-11-23T17:48:16Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T17:39:56Z |
---
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: dataset
dtype: string
- name: dialoug_id
dtype: int64
- name: session_id
dtype: int64
- name: persona1
sequence: string
- name: persona2
sequence: string
- name: dialogue
sequence: string
- name: speaker
sequence: string
splits:
- name: train
num_bytes: 30863868
num_examples: 17940
- name: validation
num_bytes: 6329337
num_examples: 3000
- name: test
num_bytes: 5867348
num_examples: 2505
download_size: 0
dataset_size: 43060553
---
# Dataset Card for "multi_session_chat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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DnerE/ImpartialDataset
|
DnerE
| 2023-11-23T17:49:04Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-23T17:44:25Z |
---
license: mit
---
|
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] |
EleutherAI/qm-mixture
|
EleutherAI
| 2023-12-02T05:59:15Z | 0 | 0 |
[
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"region:us"
] |
[
"question-answering"
] | 2023-11-23T18:05:57Z |
---
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: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: difficulty
dtype: int64
- name: statement
dtype: string
- name: choices
sequence: string
- name: character
dtype: string
- name: label
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
splits:
- name: train
num_bytes: 44733311
num_examples: 400000
- name: validation
num_bytes: 4508863
num_examples: 40000
- name: test
num_bytes: 4496765
num_examples: 40000
download_size: 0
dataset_size: 53738939
license: apache-2.0
task_categories:
- question-answering
language:
- en
pretty_name: Quirky Math (mixture)
size_categories:
- 100K<n<1M
---
# Dataset Card for "qm_mixture_1.0e"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Repository:** https://github.com/EleutherAI/elk-generalization
- **Point of Contact:** [Alex Mallen]([email protected])
### Dataset Summary
Quirky Math is a collection of datasets and models to benchmark Eliciting Latent Knowledge (ELK) methods.
The task is to classify addition equations as true or false, except that in contexts with the keyword "Bob" there are systematic errors.
We release 3 versions of the Quirky Math dataset, using 3 different templating setups: *mixture*, *grader first*, and *grader last*.
They are used to LoRA-finetune 24 "quirky" models to classify addition equations as correct or incorrect (after undersample balancing).
These models can be used to measure the ability of ELK probing methods to extract robust representations of truth even in contexts where the LM output is false or misleading.
**Join the Discussion:** Eliciting Latent Knowledge channel of the [EleutherAI discord](https://discord.gg/vAgg2CpE)
### Languages
The dataset is in English (en)
## Dataset Structure
### Data Fields
- `statement`: The text prompt to be fed into the quirky model.
- `choices`: Answer choice tokens. Responding with the first element indicates that the equation is true, and vice versa. Note that [tokenizing these choices requires care](https://github.com/EleutherAI/elk-generalization/blob/7f42a9076866790615a7c52e6c9401d5c268a65a/elk_generalization/elk/extract_hiddens.py#L10).
- `character`: Alice or Bob. The name of the character in the context.
- `label`: The answer that the character in the context would give.
- `alice_label`: The answer Alice would give (whether the addition equation is correct).
- `bob_label`: The answer Bob would give (has systematic errors).
## Dataset Creation
See the [data generating script](https://github.com/EleutherAI/elk-generalization/blob/763b81b27fbaf7b60599b207826d913181188f0c/elk_generalization/datasets/generate_sloppy_dataset.py).
## Additional Information
### Citation Information
[More Information Needed]
### Contributions
Thanks to [@AlexTMallen](https://github.com/AlexTMallen) and [@norabelrose](https://github.com/norabelrose) for adding this dataset.
|
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] |
EleutherAI/qm-grader-first
|
EleutherAI
| 2023-12-02T06:03:23Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-23T18:06:21Z |
---
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: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: difficulty
dtype: int64
- name: statement
dtype: string
- name: choices
sequence: string
- name: character
dtype: string
- name: label
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
splits:
- name: train
num_bytes: 35940088
num_examples: 400000
- name: validation
num_bytes: 3602836
num_examples: 40000
- name: test
num_bytes: 3604340
num_examples: 40000
download_size: 0
dataset_size: 43147264
---
# Dataset Card for "qm_grader_first_1.0e"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Repository:** https://github.com/EleutherAI/elk-generalization
- **Point of Contact:** [Alex Mallen]([email protected])
### Dataset Summary
Quirky Math is a collection of datasets and models to benchmark Eliciting Latent Knowledge (ELK) methods.
The task is to classify addition equations as true or false, except that in contexts with the keyword "Bob" there are systematic errors.
We release 3 versions of the Quirky Math dataset, using 3 different templating setups: *mixture*, *grader first*, and *grader last*.
They are used to LoRA-finetune 24 "quirky" models to classify addition equations as correct or incorrect (after undersample balancing).
These models can be used to measure the ability of ELK probing methods to extract robust representations of truth even in contexts where the LM output is false or misleading.
**Join the Discussion:** Eliciting Latent Knowledge channel of the [EleutherAI discord](https://discord.gg/vAgg2CpE)
### Languages
The dataset is in English (en)
## Dataset Structure
### Data Fields
- `statement`: The text prompt to be fed into the quirky model.
- `choices`: Answer choice tokens. Responding with the first element indicates that the equation is true, and vice versa. Note that [tokenizing these choices requires care](https://github.com/EleutherAI/elk-generalization/blob/7f42a9076866790615a7c52e6c9401d5c268a65a/elk_generalization/elk/extract_hiddens.py#L10).
- `character`: Alice or Bob. The name of the character in the context.
- `label`: The answer that the character in the context would give.
- `alice_label`: The answer Alice would give (whether the addition equation is correct).
- `bob_label`: The answer Bob would give (has systematic errors).
## Dataset Creation
See the [data generating script](https://github.com/EleutherAI/elk-generalization/blob/763b81b27fbaf7b60599b207826d913181188f0c/elk_generalization/datasets/generate_sloppy_dataset.py).
## Additional Information
### Citation Information
[More Information Needed]
### Contributions
Thanks to [@AlexTMallen](https://github.com/AlexTMallen) and [@norabelrose](https://github.com/norabelrose) for adding this dataset.
|
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] |
EleutherAI/qm-grader-last
|
EleutherAI
| 2023-12-02T06:05:17Z | 0 | 0 |
[
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"region:us"
] |
[
"question-answering"
] | 2023-11-23T18:06:29Z |
---
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: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: difficulty
dtype: int64
- name: statement
dtype: string
- name: choices
sequence: string
- name: character
dtype: string
- name: label
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
splits:
- name: train
num_bytes: 29940088
num_examples: 400000
- name: validation
num_bytes: 3002836
num_examples: 40000
- name: test
num_bytes: 3004340
num_examples: 40000
download_size: 0
dataset_size: 35947264
license: apache-2.0
task_categories:
- question-answering
language:
- en
size_categories:
- 100K<n<1M
---
# Dataset Card for "qm_grader_last_1.0e"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Repository:** https://github.com/EleutherAI/elk-generalization
- **Point of Contact:** [Alex Mallen]([email protected])
### Dataset Summary
Quirky Math is a collection of datasets and models to benchmark Eliciting Latent Knowledge (ELK) methods.
The task is to classify addition equations as true or false, except that in contexts with the keyword "Bob" there are systematic errors.
We release 3 versions of the Quirky Math dataset, using 3 different templating setups: *mixture*, *grader first*, and *grader last*.
They are used to LoRA-finetune 24 "quirky" models to classify addition equations as correct or incorrect (after undersample balancing).
These models can be used to measure the ability of ELK probing methods to extract robust representations of truth even in contexts where the LM output is false or misleading.
**Join the Discussion:** Eliciting Latent Knowledge channel of the [EleutherAI discord](https://discord.gg/vAgg2CpE)
### Languages
The dataset is in English (en)
## Dataset Structure
### Data Fields
- `statement`: The text prompt to be fed into the quirky model.
- `choices`: Answer choice tokens. Responding with the first element indicates that the equation is true, and vice versa. Note that [tokenizing these choices requires care](https://github.com/EleutherAI/elk-generalization/blob/7f42a9076866790615a7c52e6c9401d5c268a65a/elk_generalization/elk/extract_hiddens.py#L10).
- `character`: Alice or Bob. The name of the character in the context.
- `label`: The answer that the character in the context would give.
- `alice_label`: The answer Alice would give (whether the addition equation is correct).
- `bob_label`: The answer Bob would give (has systematic errors).
## Dataset Creation
See the [data generating script](https://github.com/EleutherAI/elk-generalization/blob/763b81b27fbaf7b60599b207826d913181188f0c/elk_generalization/datasets/generate_sloppy_dataset.py).
## Additional Information
### Citation Information
[More Information Needed]
### Contributions
Thanks to [@AlexTMallen](https://github.com/AlexTMallen) and [@norabelrose](https://github.com/norabelrose) for adding this dataset.
|
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AppleHarem/momoi_bluearchive
|
AppleHarem
| 2023-11-23T18:18:31Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-23T18:18:10Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of momoi (Blue Archive)
This is the dataset of momoi (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://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 560 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 668 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 560 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 560 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 507 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 668 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 668 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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boborr/twil
|
boborr
| 2023-11-23T18:42:59Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-23T18:41:47Z |
---
license: openrail
---
|
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] |
anand-kamble/Custom_common_voice_dataset_using_RVC
|
anand-kamble
| 2023-11-23T20:05:47Z | 0 | 0 |
[
"size_categories:10K<n<100K",
"source_datasets:common_voice_v13",
"language:hi",
"license:cc0-1.0",
"region:us"
] | null | 2023-11-23T19:05:25Z |
---
license: cc0-1.0
language:
- hi
pretty_name: Custom Common Voice
size_categories:
- 10K<n<100K
viewer: true
source_datasets:
- common_voice_v13
---
### Licensing Information
Public Domain, [CC-0](https://creativecommons.org/share-your-work/public-domain/cc0/)
### Citation Information
```
@inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
pages = {4211--4215},
year = 2020
}
```
|
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zakhtar/stanford-test
|
zakhtar
| 2023-11-23T19:11:42Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-23T19:11:42Z |
---
license: mit
---
|
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] |
Vettor/cabelinho
|
Vettor
| 2023-11-23T19:35:58Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-23T19:35:09Z |
---
license: openrail
---
|
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HK83/real_people_3000
|
HK83
| 2023-11-23T19:47:14Z | 0 | 0 |
[
"license:afl-3.0",
"region:us"
] | null | 2023-11-23T19:46:55Z |
---
license: afl-3.0
---
|
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AppleHarem/kokona_bluearchive
|
AppleHarem
| 2023-11-23T20:03:06Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-23T20:02:51Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of kokona (Blue Archive)
This is the dataset of kokona (Blue Archive), containing 150 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/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 150 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 416 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 505 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 150 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 150 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 150 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 416 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 416 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 390 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 505 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 505 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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] |
yvelos/BBQ
|
yvelos
| 2023-11-23T22:09:44Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-23T22:09:44Z |
---
license: mit
---
|
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AppleHarem/iroha_bluearchive
|
AppleHarem
| 2023-11-24T00:08:07Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T00:07:32Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of iroha (Blue Archive)
This is the dataset of iroha (Blue Archive), containing 150 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/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 150 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 416 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 482 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 150 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 150 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 150 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 416 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 416 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 356 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 482 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 482 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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] |
migtissera/Hitchhiker
|
migtissera
| 2023-11-27T18:33:51Z | 0 | 1 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-24T00:09:57Z |
---
license: apache-2.0
---
# Hitchhiker's Guide to the Galaxy
GPT-4-Turbo generations to elicit responses modelled on the Hitchhiker's Guide to the Galaxy.
Add some spice to your LLMs. Enjoy!
|
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] |
mindcrafterjesse/Furries
|
mindcrafterjesse
| 2023-11-24T00:34:13Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-24T00:34:13Z |
---
license: unknown
---
|
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] |
snats/chico_prompts_generate_story
|
snats
| 2023-11-24T00:50:44Z | 0 | 0 |
[
"language:es",
"license:cc-by-4.0",
"region:us"
] | null | 2023-11-24T00:39:13Z |
---
license: cc-by-4.0
language:
- es
---
# Dataset Card for Dataset Name
This dataset provides around 8,000 prompts in Spanish about short stories.
The following is the prompt in english:
```
prompt:
Write a short story based on the following title:
{{titles}}
completion:
{{contents}}
```
In spanish:
```
prompt:
Escribe una historia corta basada en el siguiente título {{titles}}
completion:
{{contents}}
```
# More Information
This dataset is a sub-version of the original [chico dataset](https://huggingface.co/datasets/snats/chico).
|
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AppleHarem/midori_bluearchive
|
AppleHarem
| 2023-11-24T00:42:42Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T00:42:09Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of midori (Blue Archive)
This is the dataset of midori (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://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 556 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 676 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 556 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 556 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 518 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 676 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 676 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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snats/chico_prompts_suggest_title
|
snats
| 2023-11-24T00:49:22Z | 0 | 0 |
[
"language:es",
"license:cc-by-4.0",
"region:us"
] | null | 2023-11-24T00:46:15Z |
---
license: cc-by-4.0
language:
- es
---
# Dataset Card for Dataset Name
This dataset provides around 8,000 prompts in Spanish to suggest titles from snippets of short stories.
The following is the prompt in english:
```
prompt:
Suggest a title for the following story:
{{contents}}
completion:
Sure, here's a suitable title for the given story {{titles}}.
```
In spanish:
```
prompt:
Sugiere un título para la siguiente historia: {{contents}}
completion:
Un título posible para la siguiente historia podría ser: {{titles}}
```
# More Information
This dataset is a sub-version of the original [chico dataset](https://huggingface.co/datasets/snats/chico).
|
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alpayariyak/wildchat-code-gpt4
|
alpayariyak
| 2023-11-24T02:50:41Z | 0 | 1 |
[
"region:us"
] | null | 2023-11-24T01:19:37Z |
---
dataset_info:
features:
- name: conversation_id
dtype: string
- name: model
dtype: string
- name: timestamp
dtype: timestamp[s, tz=UTC]
- name: conversation
list:
- name: content
dtype: string
- name: language
dtype: string
- name: redacted
dtype: bool
- name: role
dtype: string
- name: toxic
dtype: bool
- name: turn
dtype: int64
- name: language
dtype: string
- name: openai_moderation
list:
- name: categories
struct:
- name: harassment
dtype: bool
- name: harassment/threatening
dtype: bool
- name: hate
dtype: bool
- name: hate/threatening
dtype: bool
- name: self-harm
dtype: bool
- name: self-harm/instructions
dtype: bool
- name: self-harm/intent
dtype: bool
- name: sexual
dtype: bool
- name: sexual/minors
dtype: bool
- name: violence
dtype: bool
- name: violence/graphic
dtype: bool
- name: category_scores
struct:
- name: harassment
dtype: float64
- name: harassment/threatening
dtype: float64
- name: hate
dtype: float64
- name: hate/threatening
dtype: float64
- name: self-harm
dtype: float64
- name: self-harm/instructions
dtype: float64
- name: self-harm/intent
dtype: float64
- name: sexual
dtype: float64
- name: sexual/minors
dtype: float64
- name: violence
dtype: float64
- name: violence/graphic
dtype: float64
- name: flagged
dtype: bool
- name: detoxify_moderation
list:
- name: identity_attack
dtype: float32
- name: insult
dtype: float32
- name: obscene
dtype: float32
- name: severe_toxicity
dtype: float32
- name: sexual_explicit
dtype: float32
- name: threat
dtype: float32
- name: toxicity
dtype: float32
- name: toxic
dtype: bool
- name: redacted
dtype: bool
- name: input_1
dtype: string
- name: output_1
dtype: string
splits:
- name: train
num_bytes: 68778365.78381307
num_examples: 8230
download_size: 49740612
dataset_size: 68778365.78381307
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "wildchat-code-gpt4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
PahaII/vllm_safety_evaluation
|
PahaII
| 2023-11-28T02:35:11Z | 0 | 2 |
[
"license:apache-2.0",
"arxiv:2311.16101",
"region:us"
] | null | 2023-11-24T01:57:59Z |
---
license: apache-2.0
---
# How Many Unicorns Are In This Image? A Safety Evaluation Benchmark For Vision LLMs (Dataset)
Paper: https://arxiv.org/abs/2311.16101
Code: https://github.com/UCSC-VLAA/vllm-safety-benchmark
The full dataset should looks like this:
```
.
├── ./safety_evaluation_benchmark_datasets//
├── gpt4v_challenging_set # Contains the challenging test data for GPT4V
├── attack_images
├── sketchy_images
├── oodcv_images
├── misleading-attack.json
├── sketchy-vqa-challenging.json
└── oodcv-vqa-counterfactual.json
├── redteaming-mislead # Contains the test data for redteaming tasks
├── redteaming_attack
├── gaussian_noise
├── mixattack_eps32
├── mixattack_eps64
├── sinattack_eps64_dog
├── sinattack_eps64_coconut
├── sinattack_eps64_spaceship
└── annotation.json
└── jailbreak_llm # adversarial suffixes for jailbreaking VLLM through LLM
└── ood # Contains the test data for OOD scenarios
├── sketchy-vqa
├── sketchy-vqa.json
├── sketchy-challenging.json
└── oodcv-vqa
├── oodcv-vqa.json
└── oodcv-counterfactual.json
```
|
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inswave/AISquare_Koalpaca_Orca_merged
|
inswave
| 2023-11-24T02:08:22Z | 0 | 0 |
[
"task_categories:text-generation",
"language:ko",
"license:cc-by-nc-4.0",
"region:us"
] |
[
"text-generation"
] | 2023-11-24T02:02:34Z |
---
license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- ko
---
|
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HamdanXI/arb-eng-parallel-10k-splitted-cosine-5
|
HamdanXI
| 2023-11-24T02:54:18Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T02:54:16Z |
---
dataset_info:
features:
- name: arabic
dtype: string
- name: english
dtype: string
splits:
- name: train
num_bytes: 3013957
num_examples: 6489
- name: validation
num_bytes: 407437
num_examples: 1000
- name: test
num_bytes: 419389
num_examples: 1000
download_size: 2165455
dataset_size: 3840783
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
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yentinglin/Taiwan-Bench
|
yentinglin
| 2023-12-01T02:38:49Z | 0 | 0 |
[
"task_categories:table-question-answering",
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:zh",
"license:apache-2.0",
"arxiv:2311.17487",
"region:us"
] |
[
"table-question-answering",
"question-answering",
"text-generation"
] | 2023-11-24T03:23:40Z |
---
license: apache-2.0
task_categories:
- table-question-answering
- question-answering
- text-generation
language:
- zh
size_categories:
- 1K<n<10K
pretty_name: TWMTBench
data_files:
- split: test
path: Taiwan-MT-Bench.jsonl
---
<img src="https://cdn-uploads.huggingface.co/production/uploads/5df9c78eda6d0311fd3d541f/CmusIT5OlSXvFrbTJ7l-C.png" alt="Taiwan LLM Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
## Performance
## Citation
If you find Taiwan LLM is useful in your work, please cite it with:
```
@misc{lin2023taiwan,
title={Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model},
author={Yen-Ting Lin and Yun-Nung Chen},
year={2023},
eprint={2311.17487},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
|
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] |
wicked-ai/LLM
|
wicked-ai
| 2023-11-24T03:43:56Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-24T03:31:03Z |
---
license: apache-2.0
---
|
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HuskyAI/minecraft
|
HuskyAI
| 2023-11-24T03:57:20Z | 0 | 0 |
[
"task_categories:text-to-image",
"license:apache-2.0",
"minecraft",
"style",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T03:53:26Z |
---
license: apache-2.0
task_categories:
- text-to-image
tags:
- minecraft
- style
---
|
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