datasetId
stringlengths 5
121
| author
stringlengths 2
42
| last_modified
unknown | downloads
int64 0
2.59M
| likes
int64 0
6.31k
| tags
sequencelengths 1
7.92k
| task_categories
sequencelengths 0
40
⌀ | createdAt
unknown | card
stringlengths 19
1.01M
|
---|---|---|---|---|---|---|---|---|
yiksiu/mib_text_1 | yiksiu | "2024-11-21T00:50:36Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:50:34Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: prompt
dtype: string
- name: answer
dtype: string
- name: operator
dtype: string
- name: num_digit
dtype: int64
splits:
- name: train
num_bytes: 277449
num_examples: 4800
- name: validation
num_bytes: 138724
num_examples: 2400
- name: test
num_bytes: 69352
num_examples: 1200
download_size: 115381
dataset_size: 485525
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
yiksiu/mib_text_2 | yiksiu | "2024-11-21T00:50:40Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:50:38Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: prompt
dtype: string
- name: answer
dtype: string
- name: operator
dtype: string
- name: num_digit
dtype: int64
splits:
- name: train
num_bytes: 299041
num_examples: 4800
- name: validation
num_bytes: 149538
num_examples: 2400
- name: test
num_bytes: 74756
num_examples: 1200
download_size: 115570
dataset_size: 523335
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
yiksiu/mib_text_3 | yiksiu | "2024-11-21T00:50:45Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:50:41Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: prompt
dtype: string
- name: answer
dtype: string
- name: operator
dtype: string
- name: num_digit
dtype: int64
splits:
- name: train
num_bytes: 279853
num_examples: 4800
- name: validation
num_bytes: 139942
num_examples: 2400
- name: test
num_bytes: 69984
num_examples: 1200
download_size: 115082
dataset_size: 489779
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
yiksiu/mib_text_4 | yiksiu | "2024-11-21T00:50:53Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:50:51Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: prompt
dtype: string
- name: answer
dtype: string
- name: operator
dtype: string
- name: num_digit
dtype: int64
splits:
- name: train
num_bytes: 347106
num_examples: 4800
- name: validation
num_bytes: 173527
num_examples: 2400
- name: test
num_bytes: 86778
num_examples: 1200
download_size: 116876
dataset_size: 607411
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
yiksiu/mib_text_5 | yiksiu | "2024-11-21T00:50:55Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:50:54Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: prompt
dtype: string
- name: answer
dtype: string
- name: operator
dtype: string
- name: num_digit
dtype: int64
splits:
- name: train
num_bytes: 288315
num_examples: 4800
- name: validation
num_bytes: 144115
num_examples: 2400
- name: test
num_bytes: 72073
num_examples: 1200
download_size: 115321
dataset_size: 504503
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
yiksiu/mib_arabic_0 | yiksiu | "2024-11-21T00:50:57Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:50:56Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: prompt
dtype: string
- name: answer
dtype: string
- name: operator
dtype: string
- name: num_digit
dtype: int64
splits:
- name: train
num_bytes: 181415
num_examples: 4800
- name: validation
num_bytes: 90733
num_examples: 2400
- name: test
num_bytes: 45371
num_examples: 1200
download_size: 103788
dataset_size: 317519
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
yiksiu/mib_arabic_1 | yiksiu | "2024-11-21T00:51:00Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:50:58Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: prompt
dtype: string
- name: answer
dtype: string
- name: operator
dtype: string
- name: num_digit
dtype: int64
splits:
- name: train
num_bytes: 200678
num_examples: 4800
- name: validation
num_bytes: 100319
num_examples: 2400
- name: test
num_bytes: 50185
num_examples: 1200
download_size: 106933
dataset_size: 351182
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
1231czx/ver2_rebuttal_eaf_rrm_bon8_005 | 1231czx | "2024-11-21T00:51:23Z" | 0 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:51:19Z" | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: generator
dtype: string
splits:
- name: train
num_bytes: 1474315
num_examples: 805
download_size: 870967
dataset_size: 1474315
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
1231czx/ver2_rebuttal_eaf_rrm_bon64_005 | 1231czx | "2024-11-21T00:51:26Z" | 0 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:51:24Z" | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: generator
dtype: string
splits:
- name: train
num_bytes: 1480762
num_examples: 805
download_size: 877250
dataset_size: 1480762
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
1231czx/ver2_rebuttal_eaf_rrm_bon8_01 | 1231czx | "2024-11-21T00:51:28Z" | 0 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:51:27Z" | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: generator
dtype: string
splits:
- name: train
num_bytes: 1473191
num_examples: 805
download_size: 872139
dataset_size: 1473191
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
teamcraft/teamcraft_data | teamcraft | "2024-11-21T00:55:44Z" | 0 | 0 | [
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"region:us",
"minecraft"
] | null | "2024-11-21T00:51:41Z" | ---
license: apache-2.0
language:
- en
tags:
- minecraft
size_categories:
- 10K<n<100K
---
## Dataset Card For TeamCraft |
ydmztang/playground | ydmztang | "2024-11-21T01:25:20Z" | 0 | 0 | [
"task_categories:text-classification",
"license:mit",
"size_categories:n<1K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"text-classification"
] | "2024-11-21T00:52:22Z" | ---
license: mit
size_categories:
- n<1K
task_categories:
- text-classification
--- |
asoria/personas-translation-f85e0af2-d39c-4393-9333-bca7c2bcbe53 | asoria | "2024-11-21T00:53:57Z" | 0 | 0 | [
"region:us",
"fastdata",
"synthetic"
] | null | "2024-11-21T00:53:56Z" | ---
tags:
- fastdata
- synthetic
---
# personas-translation-f85e0af2-d39c-4393-9333-bca7c2bcbe53
_Note: This is an AI-generated dataset, so its content may be inaccurate or false._
**Source of the data:**
The dataset was generated using [Fastdata](https://github.com/AnswerDotAI/fastdata) library and claude-3-haiku-20240307 with the following input:
## System Prompt
```
You will help generate synthetic data of English and Spanish phrases.
```
## Prompt Template
```
<examples>
{examples}
</examples>
Create an English and Spanish translation pair that is similar to the examples and would be appropriate for the following persona:
<persona>{persona}</persona>
```
## Sample Input
```json
[{'persona': "A Political Analyst specialized in El Salvador's political landscape.", 'examples': [Hello, my name is Nathan. I am a research scientist at an AI startup. ➡ *Hola, me llamo Nathan. Soy ciencia investigador en un startup de IA.*, How much wood could a woodchuck chuck if a woodchuck could chuck wood? ➡ *¿Cuánta madera podría arrojar una marmota si una marmota pudiera arrojar madera?*, Thomas Cranmer (2 July 1489 - 21 March 1556) was a leader of the English Reformation and Archbishop of Canterbury during the reigns of Henry VIII, Edward VI and, for a short time, Mary I. He helped build the case for the annulment of Henry's marriage to Catherine of Aragon, which was one of the causes of the separation of the English Church from union with the Holy See. ➡ *Thomas Cranmer (2 de julio de 1489 - 21 de marzo de 1556) fue un líder de la Reforma inglesa y arzobispo de Canterbury durante los reinados de Henry VIII, Edward VI y, por un corto tiempo, María I. Ayudó a construir el caso para la anulación de El matrimonio de Henry con Catalina de Aragón, que fue una de las causas de la separación de la Iglesia inglesa de la unión con la Santa Sede.*]}, {'persona': 'A legal advisor who understands the legal implications of incomplete or inaccurate project documentation', 'examples': [Hello, my name is Nathan. I am a research scientist at an AI startup. ➡ *Hola, me llamo Nathan. Soy ciencia investigador en un startup de IA.*, How much wood could a woodchuck chuck if a woodchuck could chuck wood? ➡ *¿Cuánta madera podría arrojar una marmota si una marmota pudiera arrojar madera?*, Thomas Cranmer (2 July 1489 - 21 March 1556) was a leader of the English Reformation and Archbishop of Canterbury during the reigns of Henry VIII, Edward VI and, for a short time, Mary I. He helped build the case for the annulment of Henry's marriage to Catherine of Aragon, which was one of the causes of the separation of the English Church from union with the Holy See. ➡ *Thomas Cranmer (2 de julio de 1489 - 21 de marzo de 1556) fue un líder de la Reforma inglesa y arzobispo de Canterbury durante los reinados de Henry VIII, Edward VI y, por un corto tiempo, María I. Ayudó a construir el caso para la anulación de El matrimonio de Henry con Catalina de Aragón, que fue una de las causas de la separación de la Iglesia inglesa de la unión con la Santa Sede.*]}]
```
|
asoria/personas-translation-07c4c61d-379b-478e-a2a8-4553c5c6d8a4 | asoria | "2024-11-21T00:55:22Z" | 0 | 0 | [
"region:us",
"fastdata",
"synthetic"
] | null | "2024-11-21T00:55:21Z" | ---
tags:
- fastdata
- synthetic
---
# personas-translation-07c4c61d-379b-478e-a2a8-4553c5c6d8a4
_Note: This is an AI-generated dataset, so its content may be inaccurate or false._
**Source of the data:**
The dataset was generated using [Fastdata](https://github.com/AnswerDotAI/fastdata) library and claude-3-haiku-20240307 with the following input:
## System Prompt
```
You will help generate synthetic data of English and Spanish phrases.
```
## Prompt Template
```
<examples>
{examples}
</examples>
Create an English and Spanish translation pair that is similar to the examples and would be appropriate for the following persona:
<persona>{persona}</persona>
```
## Sample Input
```json
[{'persona': "A Political Analyst specialized in El Salvador's political landscape.", 'examples': [Hello, my name is Nathan. I am a research scientist at an AI startup. ➡ *Hola, me llamo Nathan. Soy ciencia investigador en un startup de IA.*, How much wood could a woodchuck chuck if a woodchuck could chuck wood? ➡ *¿Cuánta madera podría arrojar una marmota si una marmota pudiera arrojar madera?*, Thomas Cranmer (2 July 1489 - 21 March 1556) was a leader of the English Reformation and Archbishop of Canterbury during the reigns of Henry VIII, Edward VI and, for a short time, Mary I. He helped build the case for the annulment of Henry's marriage to Catherine of Aragon, which was one of the causes of the separation of the English Church from union with the Holy See. ➡ *Thomas Cranmer (2 de julio de 1489 - 21 de marzo de 1556) fue un líder de la Reforma inglesa y arzobispo de Canterbury durante los reinados de Henry VIII, Edward VI y, por un corto tiempo, María I. Ayudó a construir el caso para la anulación de El matrimonio de Henry con Catalina de Aragón, que fue una de las causas de la separación de la Iglesia inglesa de la unión con la Santa Sede.*]}, {'persona': 'A legal advisor who understands the legal implications of incomplete or inaccurate project documentation', 'examples': [Hello, my name is Nathan. I am a research scientist at an AI startup. ➡ *Hola, me llamo Nathan. Soy ciencia investigador en un startup de IA.*, How much wood could a woodchuck chuck if a woodchuck could chuck wood? ➡ *¿Cuánta madera podría arrojar una marmota si una marmota pudiera arrojar madera?*, Thomas Cranmer (2 July 1489 - 21 March 1556) was a leader of the English Reformation and Archbishop of Canterbury during the reigns of Henry VIII, Edward VI and, for a short time, Mary I. He helped build the case for the annulment of Henry's marriage to Catherine of Aragon, which was one of the causes of the separation of the English Church from union with the Holy See. ➡ *Thomas Cranmer (2 de julio de 1489 - 21 de marzo de 1556) fue un líder de la Reforma inglesa y arzobispo de Canterbury durante los reinados de Henry VIII, Edward VI y, por un corto tiempo, María I. Ayudó a construir el caso para la anulación de El matrimonio de Henry con Catalina de Aragón, que fue una de las causas de la separación de la Iglesia inglesa de la unión con la Santa Sede.*]}]
```
|
joenelson/triviaQA_FINAL | joenelson | "2024-11-21T00:58:14Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:58:09Z" | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: incorrect_answer
dtype: string
splits:
- name: train
num_bytes: 13013473.463081822
num_examples: 98934
download_size: 9501257
dataset_size: 13013473.463081822
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
self-generate/ds_coder_pos_reflct_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-binarized | self-generate | "2024-11-21T00:58:39Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:58:38Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
- name: rejected_traceback
dtype: string
- name: chosen_probs
dtype: float64
- name: chosen_probs_win
dtype: float64
- name: chosen_probs_lose
dtype: float64
splits:
- name: train
num_bytes: 7819725
num_examples: 2624
download_size: 3368108
dataset_size: 7819725
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ds_coder_pos_reflct_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-binarized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
self-generate/ds_coder_pos_reflct_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-full_response_traceback | self-generate | "2024-11-21T00:58:41Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:58:39Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: test
dtype: string
- name: tag
dtype: string
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
- name: text_prompt
dtype: string
- name: text_chosen
dtype: string
- name: text_rejected
dtype: string
- name: generate_0
dtype: string
- name: generate_0_score
dtype: int64
- name: traceback_0
dtype: string
- name: generate_1
dtype: string
- name: generate_1_score
dtype: int64
- name: traceback_1
dtype: string
- name: generate_2
dtype: string
- name: generate_2_score
dtype: int64
- name: traceback_2
dtype: string
- name: generate_3
dtype: string
- name: generate_3_score
dtype: int64
- name: traceback_3
dtype: string
- name: generate_4
dtype: string
- name: generate_4_score
dtype: int64
- name: traceback_4
dtype: string
- name: generate_5
dtype: string
- name: generate_5_score
dtype: int64
- name: traceback_5
dtype: string
- name: generate_6
dtype: string
- name: generate_6_score
dtype: int64
- name: traceback_6
dtype: string
- name: generate_7
dtype: string
- name: generate_7_score
dtype: int64
- name: traceback_7
dtype: string
- name: probability
sequence:
sequence: float64
- name: rm_scores
sequence: int64
splits:
- name: train
num_bytes: 35438452
num_examples: 2624
download_size: 13430079
dataset_size: 35438452
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ds_coder_pos_reflct_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-full_response_traceback"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
self-generate/ds_coder_pos_reflct_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-binarized_all_pairs | self-generate | "2024-11-21T00:58:42Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:58:41Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
- name: rejected_traceback
dtype: string
- name: test
dtype: string
splits:
- name: train
num_bytes: 28428013
num_examples: 9412
download_size: 6817274
dataset_size: 28428013
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ds_coder_pos_reflct_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-binarized_all_pairs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ahmedheakl/ar_grit_instruct | ahmedheakl | "2024-11-21T00:59:20Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T00:59:13Z" | ---
dataset_info:
features:
- name: key
dtype: string
- name: clip_similarity_vitb32
dtype: float64
- name: clip_similarity_vitl14
dtype: float64
- name: id
dtype: int64
- name: url
dtype: string
- name: caption
dtype: string
- name: width
dtype: int64
- name: height
dtype: int64
- name: noun_chunks
sequence:
sequence: float64
- name: ref_exps
sequence:
sequence: float64
splits:
- name: train
num_bytes: 11015778
num_examples: 20000
download_size: 7568373
dataset_size: 11015778
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ahmedheakl/ar_geo170k_instruct | ahmedheakl | "2024-11-21T01:02:00Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T01:01:54Z" | ---
dataset_info:
features:
- name: image
dtype: string
- name: instruction
dtype: string
- name: response
dtype: string
splits:
- name: train
num_bytes: 45535893
num_examples: 50000
download_size: 15928756
dataset_size: 45535893
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ahmedheakl/ar_vqav2_instruct | ahmedheakl | "2024-11-21T01:04:54Z" | 0 | 0 | [
"region:us"
] | null | "2024-11-21T01:04:50Z" | ---
dataset_info:
features:
- name: question_id
dtype: int64
- name: image_id
dtype: int64
- name: question
dtype: string
- name: question_type
dtype: string
- name: answer_type
dtype: string
- name: multiple_choice_answer
dtype: string
- name: image_path
dtype: string
- name: answer_0
dtype: string
- name: answer_0_confidence
dtype: string
- name: answer_0_id
dtype: int64
- name: answer_1
dtype: string
- name: answer_1_confidence
dtype: string
- name: answer_1_id
dtype: int64
- name: answer_2
dtype: string
- name: answer_2_confidence
dtype: string
- name: answer_2_id
dtype: int64
- name: answer_3
dtype: string
- name: answer_3_confidence
dtype: string
- name: answer_3_id
dtype: int64
- name: answer_4
dtype: string
- name: answer_4_confidence
dtype: string
- name: answer_4_id
dtype: int64
- name: answer_5
dtype: string
- name: answer_5_confidence
dtype: string
- name: answer_5_id
dtype: int64
- name: answer_6
dtype: string
- name: answer_6_confidence
dtype: string
- name: answer_6_id
dtype: int64
- name: answer_7
dtype: string
- name: answer_7_confidence
dtype: string
- name: answer_7_id
dtype: int64
- name: answer_8
dtype: string
- name: answer_8_confidence
dtype: string
- name: answer_8_id
dtype: int64
- name: answer_9
dtype: string
- name: answer_9_confidence
dtype: string
- name: answer_9_id
dtype: int64
splits:
- name: train
num_bytes: 20182949
num_examples: 50000
download_size: 5616441
dataset_size: 20182949
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ahmedheakl/ar_gqa_instruct | ahmedheakl | "2024-11-21T01:06:14Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T01:06:06Z" | ---
dataset_info:
features:
- name: question
dtype: string
- name: imageId
dtype: string
- name: answer
dtype: string
- name: fullAnswer
dtype: string
splits:
- name: train
num_bytes: 6462936
num_examples: 50000
download_size: 2720470
dataset_size: 6462936
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
klcsp/closedqa-eval-11-v1 | klcsp | "2024-11-21T01:26:11Z" | 0 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-21T01:14:07Z" | ---
dataset_info:
features:
- name: instructions
dtype: string
- name: target_responses
dtype: string
- name: candidate_responses
dtype: string
- name: model_id
dtype: string
- name: model_sha
dtype: string
- name: eval_prompts
dtype: string
- name: scores
dtype: float64
- name: evaluators
dtype: string
- name: dates
dtype: string
splits:
- name: gemma7b_lora
num_bytes: 313468
num_examples: 60
- name: mistral7b_lora
num_bytes: 671906
num_examples: 60
- name: llama3_8b_lora
num_bytes: 348496
num_examples: 60
- name: gemma7b_pissa
num_bytes: 367908
num_examples: 60
- name: mistral7b_pissa
num_bytes: 553158
num_examples: 60
- name: llama3_8b_pissa
num_bytes: 391376
num_examples: 60
- name: gemma7b_milora
num_bytes: 505770
num_examples: 60
- name: mistral7b_milora
num_bytes: 666242
num_examples: 60
- name: llama3_8b_milora
num_bytes: 394726
num_examples: 60
- name: gemma7b_kasa
num_bytes: 312482
num_examples: 60
download_size: 1432300
dataset_size: 4525532
configs:
- config_name: default
data_files:
- split: gemma7b_lora
path: data/gemma7b_lora-*
- split: mistral7b_lora
path: data/mistral7b_lora-*
- split: llama3_8b_lora
path: data/llama3_8b_lora-*
- split: gemma7b_pissa
path: data/gemma7b_pissa-*
- split: mistral7b_pissa
path: data/mistral7b_pissa-*
- split: llama3_8b_pissa
path: data/llama3_8b_pissa-*
- split: gemma7b_milora
path: data/gemma7b_milora-*
- split: mistral7b_milora
path: data/mistral7b_milora-*
- split: llama3_8b_milora
path: data/llama3_8b_milora-*
- split: gemma7b_kasa
path: data/gemma7b_kasa-*
---
|
mair-lab/vismin-bench | mair-lab | "2024-11-21T01:15:21Z" | 0 | 0 | [
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:arrow",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-11-21T01:17:34Z" | ---
license: cc-by-4.0
language:
- en
pretty_name: vismin-bench
size_categories:
- 1K<n<10K
---
# VisMin Dataset
## Overview
The VisMin dataset is designed for evaluating models on minimal-change tasks involving image-caption pairs. It consists of four types of minimal changes: object, attribute, count, and spatial relation. The dataset is used to benchmark models' ability to predict the correct image-caption match given two images and one caption, or two captions and one image.
## Dataset Structure
- **Total Samples**: 2,084
- **Object Changes**: 579 samples
- **Attribute Changes**: 294 samples
- **Counting Changes**: 589 samples
- **Spatial Relation Changes**: 622 samples
## Data Format
Each sample in the dataset includes:
- `image_0`: Image 1.
- `text_0`: Caption 1.
- `image_1`: Image 2.
- `text_1`: Caption 2.
- `question_1`: Question 1.
- `question_2`: Question 2.
- `question_3`: Question 3.
- `question_4`: Question 4.
- `id`: Unique identifier for the sample.
## Usage
The dataset can be used with different model types, such as CLIP or MLLM, to evaluate their performance on the VisMin benchmark tasks.
```python
from datasets import load_dataset
dataset = load_dataset("https://huggingface.co/datasets/rabiulawal/vismin-bench")
```
|