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jacobmorrison/tulu-3-sft-t3-70b-thoughts | jacobmorrison | "2025-01-17T22:37:31Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_it_math_type2only_with_sft_loss_500tmp07 | tmpmodelsave | "2025-01-17T22:41:14Z" | 20 | 0 | [
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tmpmodelsave/real_llama3_it_math_type1_only_beta05_500tmp07 | tmpmodelsave | "2025-01-18T02:27:32Z" | 20 | 0 | [
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danmac1/wrist_test23323 | danmac1 | "2025-01-18T02:37:58Z" | 20 | 0 | [
"task_categories:robotics",
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] | [
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] | "2025-01-18T02:37:42Z" | ---
license: apache-2.0
task_categories:
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tags:
- LeRobot
- dual_cam_test
configs:
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data_files: data/*/*.parquet
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
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}
```
## Citation
**BibTeX:**
```bibtex
[More Information Needed]
``` |
tmpmodelsave/real_llama3_it_math_type1_only_beta05_600tmp10 | tmpmodelsave | "2025-01-18T02:39:47Z" | 20 | 0 | [
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tmpmodelsave/real_llama3_it_math_type1_only_beta05_600tmp07 | tmpmodelsave | "2025-01-18T02:45:25Z" | 20 | 0 | [
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|
TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_4200_to_4300 | TianHongZXY | "2025-01-19T21:17:59Z" | 20 | 0 | [
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dataset_info:
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|
emugnier/DafnyGym | emugnier | "2025-01-18T05:24:44Z" | 20 | 0 | [
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] | [
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] | "2025-01-18T04:17:29Z" | ---
license: mit
task_categories:
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language:
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tags:
- code
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configs:
- config_name: main_data
data_files: "dafnyGym.json"
default: true
---
|
rlllll666/so100_test2 | rlllll666 | "2025-01-18T05:10:31Z" | 20 | 0 | [
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"LeRobot",
"so100",
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] | [
"robotics"
] | "2025-01-18T05:10:19Z" | ---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- so100
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configs:
- config_name: default
data_files: data/*/*.parquet
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
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}
```
## Citation
**BibTeX:**
```bibtex
[More Information Needed]
``` |
midhunesh/indian_food_images | midhunesh | "2025-01-18T06:02:51Z" | 20 | 0 | [
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selfcorrexp2/numia_math_type12_merged | selfcorrexp2 | "2025-01-18T06:36:29Z" | 20 | 0 | [
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selfcorrexp2/numia_augmath_type12_merged | selfcorrexp2 | "2025-01-18T06:36:54Z" | 20 | 0 | [
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tmpmodelsave/HanningZhang_Llama3-sft-less-corr-rr60k-3ep_resettmp07 | tmpmodelsave | "2025-01-18T06:54:38Z" | 20 | 0 | [
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swj0419/wildbench-creative-writing | swj0419 | "2025-01-18T07:23:06Z" | 20 | 0 | [
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markcha/ticker_data | markcha | "2025-01-18T08:02:34Z" | 20 | 0 | [
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umithy/sun_tzu_savas_sanati | umithy | "2025-01-18T09:37:15Z" | 20 | 0 | [
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] | [
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] | "2025-01-18T09:16:01Z" | ---
license: cc0-1.0
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size_categories:
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--- |
RylanSchaeffer/collapse_gemma-2-27b_hs2_replace_iter3_sftsd2_temp1_max_seq_len512 | RylanSchaeffer | "2025-01-18T10:37:02Z" | 20 | 0 | [
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|
qnguyen3/dpo-r1 | qnguyen3 | "2025-01-18T11:24:13Z" | 20 | 0 | [
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|
rlllll666/so100_test6 | rlllll666 | "2025-01-18T12:11:20Z" | 20 | 0 | [
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] | [
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] | "2025-01-18T12:09:39Z" | ---
license: apache-2.0
task_categories:
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tags:
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---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
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## Citation
**BibTeX:**
```bibtex
[More Information Needed]
``` |
fennodehaan/so114_test | fennodehaan | "2025-01-18T13:43:47Z" | 20 | 0 | [
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license: apache-2.0
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---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
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## Citation
**BibTeX:**
```bibtex
[More Information Needed]
``` |
swiley/swiley1 | swiley | "2025-01-18T19:04:19Z" | 20 | 0 | [
"license:mit",
"region:us"
] | null | "2025-01-18T15:45:20Z" | ---
license: mit
---
|
yuz1wan/so100_test | yuz1wan | "2025-01-18T15:50:27Z" | 20 | 0 | [
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license: apache-2.0
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---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
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```
## Citation
**BibTeX:**
```bibtex
[More Information Needed]
``` |
deerfieldgreen/ExpandedNuminaMath | deerfieldgreen | "2025-01-18T15:51:19Z" | 20 | 0 | [
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|
andy-iv/jenny-tts-tags-30h | andy-iv | "2025-01-18T16:27:46Z" | 20 | 0 | [
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Foxy4377/FHeta | Foxy4377 | "2025-01-18T16:55:22Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_mathandnumia_type12only_200tmp10 | tmpmodelsave | "2025-01-18T17:00:24Z" | 20 | 0 | [
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gswamy/pythia-1.4B-tldr-sft_tldr_pythia_1.4b_rm_sft_tldr_pythia_1.4b_16th_1_iter_1 | gswamy | "2025-01-18T17:02:17Z" | 20 | 0 | [
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ShikharLLM/Jjk | ShikharLLM | "2025-01-18T17:02:47Z" | 20 | 0 | [
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license: openrail
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tmpmodelsave/llama3_sft_numia_type12_beta05_200tmp10 | tmpmodelsave | "2025-01-18T17:03:06Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_mathandnumia_type12only_300tmp10 | tmpmodelsave | "2025-01-18T17:12:19Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_mathandnumia_type12only_400tmp10 | tmpmodelsave | "2025-01-18T17:24:40Z" | 20 | 0 | [
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tmpmodelsave/llama3_sft_numia_type12_beta05_400tmp10 | tmpmodelsave | "2025-01-18T17:27:08Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_mathandnumia_type12only_500tmp10 | tmpmodelsave | "2025-01-18T17:36:44Z" | 20 | 0 | [
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TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_2300_to_2400 | TianHongZXY | "2025-01-19T21:05:22Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_mathandnumia_type12only_600tmp10 | tmpmodelsave | "2025-01-18T17:48:59Z" | 20 | 0 | [
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] | null | "2025-01-18T17:48:51Z" | ---
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|
ClumsyCow/batu | ClumsyCow | "2025-01-18T18:15:12Z" | 20 | 0 | [
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] | null | "2025-01-18T17:51:21Z" | ---
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license: apache-2.0
language:
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tags:
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pretty_name: miu
--- |
tmpmodelsave/llama3_sft_numia_type12_beta05_600tmp10 | tmpmodelsave | "2025-01-18T17:51:23Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_mathandnumia_type12only_700tmp10 | tmpmodelsave | "2025-01-18T18:01:15Z" | 20 | 0 | [
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tmpmodelsave/llama3_sft_numia_type12_beta05_700tmp10 | tmpmodelsave | "2025-01-18T18:03:35Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_mathandnumia_type12only_800tmp10 | tmpmodelsave | "2025-01-18T18:13:53Z" | 20 | 0 | [
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tmpmodelsave/llama3_sft_numia_type12_beta05_800tmp10 | tmpmodelsave | "2025-01-18T18:15:33Z" | 20 | 0 | [
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|
qing2025/koch_test | qing2025 | "2025-01-18T18:43:20Z" | 20 | 0 | [
"task_categories:robotics",
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"LeRobot",
"tutorial"
] | [
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] | "2025-01-18T18:42:20Z" | ---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- tutorial
configs:
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data_files: data/*/*.parquet
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
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"motor_2",
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1
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}
}
}
```
## Citation
**BibTeX:**
```bibtex
[More Information Needed]
``` |
SzuTao/Tokie_Pona_Language | SzuTao | "2025-01-18T20:05:43Z" | 20 | 0 | [
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"region:us",
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"english",
"tokie",
"pona"
] | null | "2025-01-18T19:59:39Z" | ---
language:
- en
tags:
- lanuage
- english
- tokie
- pona
---
This document has English words to match also.
Toki Pona is a constructed language. Sonja Lang, a Canadian translator and linguist, made this language.[1] The words toki pona mean "good language" or "simple language".
Toki Pona uses simple ideas that all cultures know. However, Lang did not make Toki Pona as an international auxiliary language (a language to help people speaking different languages). She made it to test ideas about minimalism (taking out things that are not needed) and pidgins. She also used Taoist ideas.
Toki Pona only has about 137 words. Words can be used together to talk about other ideas. For example, jan means "person", and pona means "good". So, jan pona can mean "friend", a person who is good. This is why there does not need to be one word for "friend". The small number of words can talk about many ideas in this way.
Also, some words might mean a few different things when put together. tomo means "room", and tawa means "move". However, tomo tawa has many meanings, such as "airport", "gym", and "car". What someone means when they speak Toki Pona depends on the context. For example, if someone wants to exercise, tomo tawa will probably mean "gym".
There are a few words that show the structure of the sentence. They do not mean anything by themselves. For example, the word li shows that the next word is a verb (a word that tells about an action or a state). |
TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_2400_to_2500 | TianHongZXY | "2025-01-19T21:06:00Z" | 20 | 0 | [
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] | null | "2025-01-18T20:09:19Z" | ---
dataset_info:
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---
|
FrancophonIA/lexique_jardinage_armenie | FrancophonIA | "2025-01-18T20:37:37Z" | 20 | 0 | [
"task_categories:translation",
"multilinguality:multilingual",
"language:fr",
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] | [
"translation"
] | "2025-01-18T20:36:25Z" | ---
language:
- fr
- en
- hy
viewer: false
task_categories:
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---
> [!NOTE]
> Dataset origin: http://www.dictionnaires-machtotz.org/images/lexiques_pdf/Lexique_Jardinnage_ChP_Mise%20en%20page-1.pdf |
sherryy/tulu-3-sft-extended | sherryy | "2025-01-21T02:44:15Z" | 20 | 0 | [
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|
Luca207/mosaic_landmines | Luca207 | "2025-01-18T22:38:49Z" | 20 | 0 | [
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|
TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_2500_to_2600 | TianHongZXY | "2025-01-19T21:06:33Z" | 20 | 0 | [
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|
sumuks/openreview_papers | sumuks | "2025-01-18T22:57:36Z" | 20 | 0 | [
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|
TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_3400_to_3500 | TianHongZXY | "2025-01-19T21:12:37Z" | 20 | 0 | [
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|
tmpmodelsave/type12_math_augmath_dpo_sftlossbeta05_step400_gen | tmpmodelsave | "2025-01-19T00:11:53Z" | 20 | 0 | [
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ryanott/fever__openai_ada2 | ryanott | "2025-01-19T01:04:09Z" | 20 | 0 | [
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tmpmodelsave/llama3_sft_math_augmath_type12_beta05nosft_500tmp10 | tmpmodelsave | "2025-01-19T01:07:05Z" | 20 | 0 | [
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tmpmodelsave/llama3_sft_math_augmath_type12_beta05nosft_600tmp10 | tmpmodelsave | "2025-01-19T01:20:03Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_math_augmath_type12only_sftloss_600tmp10_vllmexp2 | tmpmodelsave | "2025-01-19T01:25:11Z" | 20 | 0 | [
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sumuks/openreview_sft_data | sumuks | "2025-01-19T01:39:52Z" | 20 | 0 | [
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Asap7772/persona_questions_full_views_gemma27b | Asap7772 | "2025-01-19T02:08:28Z" | 20 | 0 | [
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selfcorrexp2/augmath_math_type2_merged | selfcorrexp2 | "2025-01-19T02:38:06Z" | 20 | 0 | [
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reeoooo/kanjiImages3 | reeoooo | "2025-01-19T02:56:31Z" | 20 | 0 | [
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RyanYr/reflect_agieval-sat-test_t1 | RyanYr | "2025-01-19T03:05:04Z" | 20 | 0 | [
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RyanYr/reflect_agieval-sat-test_t3_crtc | RyanYr | "2025-01-19T03:07:57Z" | 20 | 0 | [
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RyanYr/AGIEval_AQUA-RAT | RyanYr | "2025-01-19T05:15:53Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_math_augmath_type2only_sftloss_100tmp10 | tmpmodelsave | "2025-01-19T04:14:43Z" | 20 | 0 | [
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tmpmodelsave/beta05dpollama3_sft_math_augmath_type2only_sftloss_150tmp10_vllmexp2 | tmpmodelsave | "2025-01-19T05:09:42Z" | 20 | 0 | [
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|
infinite-dataset-hub/GroceryItemClassification | infinite-dataset-hub | "2025-01-19T04:34:25Z" | 20 | 0 | [
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] | null | "2025-01-19T04:34:24Z" | ---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---
# GroceryItemClassification
tags: product types, categorization, supermarket
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'GroceryItemClassification' dataset contains a collection of product names along with their respective categories, suitable for training a machine learning model to classify grocery items. The dataset has been carefully curated to include diverse products found in a typical supermarket.
**CSV Content Preview:**
```
product_name,category,label
Almond Milk,Beverages,Non-Dairy
Whole Wheat Bread,Bakery,Grain-Based
Organic Bananas,Fruits,Organic
Frozen Broccoli,Vegetables,Organic
Chicken Breast,Meat,Poultry
```
In this CSV preview, the 'label' column has been included to classify the products into categories that make sense for a grocery classification task. Labels have been crafted to reflect product characteristics without directly reusing the query keywords, aiming for diversity and relevance to grocery items.
**Source of the data:**
The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'grocery':
- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=grocery&dataset=GroceryItemClassification&tags=product+types,+categorization,+supermarket
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
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mbzuai-ugrip-statement-tuning/xlwic_instruction | mbzuai-ugrip-statement-tuning | "2025-01-19T05:24:38Z" | 20 | 0 | [
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RyanYr/reflect_aqua-test_t4_crtc | RyanYr | "2025-01-19T05:24:50Z" | 20 | 0 | [
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RyanYr/reflect_aqua-test_t4 | RyanYr | "2025-01-19T05:26:09Z" | 20 | 0 | [
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] | null | "2025-01-19T05:26:08Z" | ---
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---
|
cairocode/MSPP_OLD2 | cairocode | "2025-01-19T05:50:40Z" | 20 | 0 | [
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] | null | "2025-01-19T05:43:12Z" | ---
dataset_info:
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|
mbzuai-ugrip-statement-tuning/massive_instruction | mbzuai-ugrip-statement-tuning | "2025-01-19T06:16:20Z" | 20 | 0 | [
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] | null | "2025-01-19T06:15:50Z" | ---
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---
|
dinho1597/zindi_test | dinho1597 | "2025-01-19T06:48:37Z" | 20 | 0 | [
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"library:datasets",
"library:pandas",
"library:mlcroissant",
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] | null | "2025-01-19T06:45:10Z" | ---
dataset_info:
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dtype: int64
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splits:
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dataset_size: 712575
configs:
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data_files:
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path: data/test-*
---
|
Yuanxin-Liu/BRITE_iter1 | Yuanxin-Liu | "2025-01-19T06:48:57Z" | 20 | 0 | [
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] | null | "2025-01-19T06:46:55Z" | ---
dataset_info:
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path: data/train-*
---
|
TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_500_to_600 | TianHongZXY | "2025-01-19T20:54:43Z" | 20 | 0 | [
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"library:pandas",
"library:mlcroissant",
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] | null | "2025-01-19T07:25:34Z" | ---
dataset_info:
config_name: TianHongZXY_MATH--T-0.8--top_p-1.0--n-32--m-4--iters-20--look-1--seed-42--agg_strategy--last
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path: TianHongZXY_MATH--T-0.8--top_p-1.0--n-32--m-4--iters-20--look-1--seed-42--agg_strategy--last/train-*
---
|
jbirbtheterrible/my-distiset-8ac15bf3 | jbirbtheterrible | "2025-01-19T07:38:10Z" | 20 | 0 | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:question-answering",
"size_categories:n<1K",
"format:parquet",
"modality:text",
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"library:mlcroissant",
"library:polars",
"library:distilabel",
"region:us",
"synthetic",
"distilabel",
"rlaif",
"datacraft"
] | [
"text-generation",
"text2text-generation",
"question-answering"
] | "2025-01-19T07:38:07Z" | ---
size_categories: n<1K
task_categories:
- text-generation
- text2text-generation
- question-answering
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
- name: system_prompt
dtype: string
splits:
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num_examples: 100
download_size: 57974
dataset_size: 137947
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
---
<p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for my-distiset-8ac15bf3
This dataset has been created with [distilabel](https://distilabel.argilla.io/).
## Dataset Summary
This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:
```console
distilabel pipeline run --config "https://huggingface.co/datasets/jbirbtheterrible/my-distiset-8ac15bf3/raw/main/pipeline.yaml"
```
or explore the configuration:
```console
distilabel pipeline info --config "https://huggingface.co/datasets/jbirbtheterrible/my-distiset-8ac15bf3/raw/main/pipeline.yaml"
```
## Dataset structure
The examples have the following structure per configuration:
<details><summary> Configuration: default </summary><hr>
```json
{
"completion": "In twilight\u0027s hush, where forest shadows play,\nAmidst the trees, a solemn silence reigns,\nThe wind whispers secrets through the leaves all day.\n\nThe moon above, a glowing crescent ray,\nIlluminates the path that I have gained,\nIn twilight\u0027s hush, where forest shadows play.\n\nThe scent of pine and earth and damp decay,\nEchoes through the forest\u0027s ancient frames,\nThe wind whispers secrets through the leaves all day.\n\nThe creatures of the night begin to sway,\nTheir calls and whispers weave a mystic claim,\nIn twilight\u0027s hush, where forest shadows play.\n\nThe darkness deepens, and the trees draw gray,\nTheir branches twisted, tangled in a maze,\nThe wind whispers secrets through the leaves all day.\n\nIn twilight\u0027s hush, where forest shadows play,\nThe forest\u0027s heartbeat, a rhythm that will stay,\nThe wind whispers secrets through the leaves all day.",
"prompt": "Write a poem about a forest, but in the way of a villanelle. \n\n",
"system_prompt": "You are an AI assistant designed to generate short poems based on user-supplied topics and styles. Your purpose is to assist users in crafting original and creative poems that meet their specific requirements. Provide structured and coherent poems, taking into account the user\u0027s chosen topic, style, and any additional specifications they may have. Adapt your poem generation to various formats, such as limericks, haikus, sonnets, or free verse, while maintaining the user\u0027s preferred tone and meter. User questions are direct and concise."
}
```
This subset can be loaded as:
```python
from datasets import load_dataset
ds = load_dataset("jbirbtheterrible/my-distiset-8ac15bf3", "default")
```
Or simply as it follows, since there's only one configuration and is named `default`:
```python
from datasets import load_dataset
ds = load_dataset("jbirbtheterrible/my-distiset-8ac15bf3")
```
</details>
|
manoj2423/Mental_Health_Chatbot_Dataset | manoj2423 | "2025-01-19T12:52:26Z" | 20 | 0 | [
"license:cc-by-nc-3.0",
"region:us"
] | null | "2025-01-19T07:54:28Z" | ---
license: cc-by-nc-3.0
---
|
TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_1200_to_1300 | TianHongZXY | "2025-01-19T20:58:48Z" | 20 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-19T08:40:53Z" | ---
dataset_info:
config_name: TianHongZXY_MATH--T-0.8--top_p-1.0--n-32--m-4--iters-20--look-1--seed-42--agg_strategy--last
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splits:
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num_examples: 100
download_size: 631815
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configs:
- config_name: TianHongZXY_MATH--T-0.8--top_p-1.0--n-32--m-4--iters-20--look-1--seed-42--agg_strategy--last
data_files:
- split: train
path: TianHongZXY_MATH--T-0.8--top_p-1.0--n-32--m-4--iters-20--look-1--seed-42--agg_strategy--last/train-*
---
|