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0cbacbd
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Parent(s):
786b23f
Upload README.md with huggingface_hub
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README.md
CHANGED
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@@ -1,60 +1,4182 @@
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---
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- name: meta
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struct:
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- name: category
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dtype: string
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- name: completion
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dtype: string
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- name: id
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dtype: int64
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- name: input
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dtype: 'null'
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- name: motivation_app
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dtype: 'null'
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- name: prompt
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dtype: string
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- name: source
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dtype: string
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- name: subcategory
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dtype: string
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- name: answer
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dtype: string
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- name: model_name
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dtype: string
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- name: evol_instruction_score
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dtype: float64
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- name: evolved_response
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dtype: string
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- name: evol_response_score
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dtype: float64
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- name: conversation
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list:
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- name: content
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dtype: string
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- name: role
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dtype: string
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- name: embedding
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sequence: float64
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- name: deita_score
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dtype: float64
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- name: nearest_neighbor_distance
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dtype: float64
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splits:
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- name: train
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num_bytes: 65737506
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num_examples: 1795
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download_size: 15691542
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dataset_size: 65737506
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configs:
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- config_name: deita_filtering
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data_files:
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- split: train
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path: deita_filtering/train-*
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---
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|
| 1 |
---
|
| 2 |
+
size_categories: n<1K
|
| 3 |
+
config_names:
|
| 4 |
+
- deita_filtering
|
| 5 |
+
tags:
|
| 6 |
+
- synthetic
|
| 7 |
+
- distilabel
|
| 8 |
+
- rlaif
|
|
|
|
|
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|
| 9 |
---
|
| 10 |
+
|
| 11 |
+
<p align="left">
|
| 12 |
+
<a href="https://github.com/argilla-io/distilabel">
|
| 13 |
+
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
|
| 14 |
+
</a>
|
| 15 |
+
</p>
|
| 16 |
+
|
| 17 |
+
# Dataset Card for deita-no-normalization
|
| 18 |
+
|
| 19 |
+
This dataset has been created with [Distilabel](https://distilabel.argilla.io/).
|
| 20 |
+
|
| 21 |
+
## Dataset Summary
|
| 22 |
+
|
| 23 |
+
This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:
|
| 24 |
+
|
| 25 |
+
```console
|
| 26 |
+
distilabel pipeline run --config "https://huggingface.co/datasets/distilabel-internal-testing/deita-no-normalization/raw/main/pipeline.yaml"
|
| 27 |
+
```
|
| 28 |
+
|
| 29 |
+
or explore the configuration:
|
| 30 |
+
|
| 31 |
+
```console
|
| 32 |
+
distilabel pipeline info --config "https://huggingface.co/datasets/distilabel-internal-testing/deita-no-normalization/raw/main/pipeline.yaml"
|
| 33 |
+
```
|
| 34 |
+
|
| 35 |
+
## Dataset structure
|
| 36 |
+
|
| 37 |
+
The examples have the following structure per configuration:
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
<details><summary> Configuration: deita_filtering </summary><hr>
|
| 41 |
+
|
| 42 |
+
```json
|
| 43 |
+
{
|
| 44 |
+
"answer": "The code snippet provided is correct and does not contain any logical errors.",
|
| 45 |
+
"completion": "The original code counts the number of lowercase vowels in a string, but the count should probably be case-insensitive. Here is a case-insensitive version.\r\n\r\nfunction countVowels(str) {\r\n let vowels = [\u0027a\u0027, \u0027e\u0027, \u0027i\u0027, \u0027o\u0027, \u0027u\u0027];\r\n let count = 0;\r\n \r\n for (let i = 0; i \u003c str.length; i++) {\r\n if (vowels.includes(str[i].toLowerCase())) {\r\n count++;\r\n }\r\n }\r\n \r\n return count;\r\n}",
|
| 46 |
+
"conversation": [
|
| 47 |
+
{
|
| 48 |
+
"content": "Can you find and correct any logical errors in the following code snippet and output the corrected code?\r\n\r\nfunction countVowels(str) {\r\n let vowels = [\u0027a\u0027, \u0027e\u0027, \u0027i\u0027, \u0027o\u0027, \u0027u\u0027];\r\n let count = 0;\r\n \r\n for (let i = 0; i \u003c str.length; i++) {\r\n if (vowels.includes(str[i])) {\r\n count++;\r\n }\r\n }\r\n \r\n return count;\r\n}",
|
| 49 |
+
"role": "user"
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"content": "The code snippet provided is correct and does not contain any logical errors.",
|
| 53 |
+
"role": "assistant"
|
| 54 |
+
}
|
| 55 |
+
],
|
| 56 |
+
"deita_score": 1.0,
|
| 57 |
+
"embedding": [
|
| 58 |
+
-4.91015625,
|
| 59 |
+
4.33203125,
|
| 60 |
+
1.9873046875,
|
| 61 |
+
-6.66015625,
|
| 62 |
+
-3.3671875,
|
| 63 |
+
-5.59375,
|
| 64 |
+
0.1153564453125,
|
| 65 |
+
-2.244140625,
|
| 66 |
+
5.04296875,
|
| 67 |
+
0.1068115234375,
|
| 68 |
+
-2.48828125,
|
| 69 |
+
-1.6728515625,
|
| 70 |
+
-8.3671875,
|
| 71 |
+
-3.8359375,
|
| 72 |
+
8.703125,
|
| 73 |
+
-2.93359375,
|
| 74 |
+
0.29541015625,
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1.59375,
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1.755859375,
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3.90625,
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4.3984375,
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10.4375,
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1.328125,
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3.361328125,
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0.20751953125,
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4.7890625,
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8.078125,
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| 4150 |
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| 4151 |
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1.3359375,
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| 4152 |
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-1.22265625,
|
| 4153 |
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-2.962890625
|
| 4154 |
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],
|
| 4155 |
+
"evol_instruction_score": 1.0,
|
| 4156 |
+
"evol_response_score": 1.0,
|
| 4157 |
+
"evolved_instruction": "Can you find and correct any logical errors in the following code snippet and output the corrected code?\r\n\r\nfunction countVowels(str) {\r\n let vowels = [\u0027a\u0027, \u0027e\u0027, \u0027i\u0027, \u0027o\u0027, \u0027u\u0027];\r\n let count = 0;\r\n \r\n for (let i = 0; i \u003c str.length; i++) {\r\n if (vowels.includes(str[i])) {\r\n count++;\r\n }\r\n }\r\n \r\n return count;\r\n}",
|
| 4158 |
+
"evolved_response": "The code snippet provided is correct and does not contain any logical errors.",
|
| 4159 |
+
"meta": {
|
| 4160 |
+
"category": "Natural language to code",
|
| 4161 |
+
"completion": "The original code counts the number of lowercase vowels in a string, but the count should probably be case-insensitive. Here is a case-insensitive version.\r\n\r\nfunction countVowels(str) {\r\n let vowels = [\u0027a\u0027, \u0027e\u0027, \u0027i\u0027, \u0027o\u0027, \u0027u\u0027];\r\n let count = 0;\r\n \r\n for (let i = 0; i \u003c str.length; i++) {\r\n if (vowels.includes(str[i].toLowerCase())) {\r\n count++;\r\n }\r\n }\r\n \r\n return count;\r\n}",
|
| 4162 |
+
"id": 6,
|
| 4163 |
+
"input": null,
|
| 4164 |
+
"motivation_app": null,
|
| 4165 |
+
"prompt": "Can you find and correct any logical errors in the following code snippet and output the corrected code?\r\n\r\nfunction countVowels(str) {\r\n let vowels = [\u0027a\u0027, \u0027e\u0027, \u0027i\u0027, \u0027o\u0027, \u0027u\u0027];\r\n let count = 0;\r\n \r\n for (let i = 0; i \u003c str.length; i++) {\r\n if (vowels.includes(str[i])) {\r\n count++;\r\n }\r\n }\r\n \r\n return count;\r\n}",
|
| 4166 |
+
"source": "surge",
|
| 4167 |
+
"subcategory": "Debugging"
|
| 4168 |
+
},
|
| 4169 |
+
"model_name": "gpt-3.5-turbo",
|
| 4170 |
+
"nearest_neighbor_distance": 0.12795357273014518
|
| 4171 |
+
}
|
| 4172 |
+
```
|
| 4173 |
+
|
| 4174 |
+
This subset can be loaded as:
|
| 4175 |
+
|
| 4176 |
+
```python
|
| 4177 |
+
from datasets import load_dataset
|
| 4178 |
+
|
| 4179 |
+
ds = load_dataset("distilabel-internal-testing/deita-no-normalization", "deita_filtering")
|
| 4180 |
+
```
|
| 4181 |
+
|
| 4182 |
+
</details>
|