Upload folder using huggingface_hub

.argilla/dataset.json

@@ -0,0 +1,16 @@
+{
+  "id": "7870ac23-3acd-4a83-a453-42475de904cd",
+  "name": "nob - norsk bokmål - Norwegian Bokmål",
+  "guidelines": "### Guidelines for Rating Educational Content\n\nRate the content using these criteria:\n\n1️⃣ NO EDUCATIONAL VALUE\n- No educational purpose whatsoever\n- Pure entertainment, ads, or personal content\n- Nothing to learn from this content\n✓ Examples:\n  • Social media conversations about daily life\n  • Online shopping product listings\n  • Advertisement pages\n  • Personal blog posts about someone's day\n  • Forum discussions about entertainment\n  • Comment sections\n  • Sports match reports\n\n2️⃣ MINIMAL EDUCATIONAL VALUE\n- Contains a few facts or pieces of information\n- Mostly non-educational content\n- Information is incidental or not the main focus\n✓ Examples:\n  • News article that mentions some historical facts\n  • Travel blog with basic information about a location\n  • Product review with some technical details\n  • Company website with brief industry information\n  • Recipe that briefly explains a cooking technique\n  • Entertainment article with occasional facts\n\n3️⃣ BASIC EDUCATIONAL CONTENT\n- Attempts to explain or teach something\n- Information might be scattered or disorganized\n- Mixed with non-educational content\n✓ Examples:\n  • Basic how-to guide with ads\n  • Simple Wikipedia-style article\n  • Blog post explaining a concept but lacking depth\n  • Amateur tutorial video transcript\n  • Brief explanation of a scientific concept\n  • Quick overview of a historical event\n\n4️⃣ GOOD EDUCATIONAL CONTENT\n- Clear teaching purpose\n- Well-organized information\n- Suitable for learning\n- May have some minor limitations\n✓ Examples:\n  • Detailed tutorial with clear steps\n  • Well-written educational blog post\n  • Comprehensive guide to a topic\n  • Clear explanation of a scientific process\n  • Structured learning material\n  • Educational website article with examples\n\n5️⃣ EXCELLENT EDUCATIONAL CONTENT\n- Outstanding teaching material\n- Clear structure and thorough explanations\n- Includes helpful examples\n- No distracting content\n✓ Examples:\n  • Professional educational resource\n  • Well-crafted learning module\n  • In-depth guide with clear examples\n  • Comprehensive educational article\n  • High-quality teaching material\n  • Expert explanation with practical applications\n\n6️⃣ PROBLEMATIC CONTENT\n- Wrong language\n- Unreadable or corrupted text\n- Inappropriate content\n- Machine-generated nonsense\n✓ Examples:\n  • Text in a different language than expected\n  • Garbled characters or formatting\n  • Clearly AI-generated spam content\n  • Inappropriate or offensive material\n  • Broken/partial webpage content\n  • Content that's too technical to evaluate",
+  "allow_extra_metadata": true,
+  "status": "ready",
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "metadata": null,
+  "workspace_id": "af67a4f3-a3b1-4b1b-8b21-44eb3db67468",
+  "last_activity_at": "2025-03-25T09:26:13.119160",
+  "inserted_at": "2025-03-25T09:25:43.262451",
+  "updated_at": "2025-03-25T09:25:44.236871"
+}

.argilla/settings.json

@@ -0,0 +1,114 @@
+{
+  "guidelines": "### Guidelines for Rating Educational Content\n\nRate the content using these criteria:\n\n1️⃣ NO EDUCATIONAL VALUE\n- No educational purpose whatsoever\n- Pure entertainment, ads, or personal content\n- Nothing to learn from this content\n✓ Examples:\n  • Social media conversations about daily life\n  • Online shopping product listings\n  • Advertisement pages\n  • Personal blog posts about someone's day\n  • Forum discussions about entertainment\n  • Comment sections\n  • Sports match reports\n\n2️⃣ MINIMAL EDUCATIONAL VALUE\n- Contains a few facts or pieces of information\n- Mostly non-educational content\n- Information is incidental or not the main focus\n✓ Examples:\n  • News article that mentions some historical facts\n  • Travel blog with basic information about a location\n  • Product review with some technical details\n  • Company website with brief industry information\n  • Recipe that briefly explains a cooking technique\n  • Entertainment article with occasional facts\n\n3️⃣ BASIC EDUCATIONAL CONTENT\n- Attempts to explain or teach something\n- Information might be scattered or disorganized\n- Mixed with non-educational content\n✓ Examples:\n  • Basic how-to guide with ads\n  • Simple Wikipedia-style article\n  • Blog post explaining a concept but lacking depth\n  • Amateur tutorial video transcript\n  • Brief explanation of a scientific concept\n  • Quick overview of a historical event\n\n4️⃣ GOOD EDUCATIONAL CONTENT\n- Clear teaching purpose\n- Well-organized information\n- Suitable for learning\n- May have some minor limitations\n✓ Examples:\n  • Detailed tutorial with clear steps\n  • Well-written educational blog post\n  • Comprehensive guide to a topic\n  • Clear explanation of a scientific process\n  • Structured learning material\n  • Educational website article with examples\n\n5️⃣ EXCELLENT EDUCATIONAL CONTENT\n- Outstanding teaching material\n- Clear structure and thorough explanations\n- Includes helpful examples\n- No distracting content\n✓ Examples:\n  • Professional educational resource\n  • Well-crafted learning module\n  • In-depth guide with clear examples\n  • Comprehensive educational article\n  • High-quality teaching material\n  • Expert explanation with practical applications\n\n6️⃣ PROBLEMATIC CONTENT\n- Wrong language\n- Unreadable or corrupted text\n- Inappropriate content\n- Machine-generated nonsense\n✓ Examples:\n  • Text in a different language than expected\n  • Garbled characters or formatting\n  • Clearly AI-generated spam content\n  • Inappropriate or offensive material\n  • Broken/partial webpage content\n  • Content that's too technical to evaluate",
+  "allow_extra_metadata": true,
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "fields": [
+    {
+      "id": "d7f73f40-d307-4d2b-8673-7d88da6dbf42",
+      "name": "text",
+      "title": "text",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "7870ac23-3acd-4a83-a453-42475de904cd",
+      "inserted_at": "2025-03-25T09:25:43.682296",
+      "updated_at": "2025-03-25T09:25:43.682296"
+    }
+  ],
+  "questions": [
+    {
+      "id": "9283a4b2-052d-442f-9d8c-cf790a3bf9f4",
+      "name": "Educational Value",
+      "title": "Educational Value of the content",
+      "description": null,
+      "required": true,
+      "settings": {
+        "type": "label_selection",
+        "options": [
+          {
+            "value": "None",
+            "text": "None",
+            "description": null
+          },
+          {
+            "value": "Minimal",
+            "text": "Minimal",
+            "description": null
+          },
+          {
+            "value": "Basic",
+            "text": "Basic",
+            "description": null
+          },
+          {
+            "value": "Good",
+            "text": "Good",
+            "description": null
+          },
+          {
+            "value": "Excellent",
+            "text": "Excellent",
+            "description": null
+          },
+          {
+            "value": "❗ Problematic Content ❗",
+            "text": "❗ Problematic Content ❗",
+            "description": null
+          }
+        ],
+        "visible_options": 6
+      },
+      "dataset_id": "7870ac23-3acd-4a83-a453-42475de904cd",
+      "inserted_at": "2025-03-25T09:25:43.818650",
+      "updated_at": "2025-03-25T09:25:43.818650"
+    },
+    {
+      "id": "3eaeff5b-0120-4d89-a6eb-5093c8edaa99",
+      "name": "Language ID correct?",
+      "title": "Is this text in the expected language",
+      "description": null,
+      "required": true,
+      "settings": {
+        "type": "label_selection",
+        "options": [
+          {
+            "value": "yes",
+            "text": "yes",
+            "description": null
+          },
+          {
+            "value": "no",
+            "text": "no",
+            "description": null
+          }
+        ],
+        "visible_options": null
+      },
+      "dataset_id": "7870ac23-3acd-4a83-a453-42475de904cd",
+      "inserted_at": "2025-03-25T09:25:43.958358",
+      "updated_at": "2025-03-25T09:25:43.958358"
+    }
+  ],
+  "metadata": [
+    {
+      "id": "cbfef384-8520-4246-b536-5827d38b8b07",
+      "name": "language_score",
+      "title": "Language Score",
+      "settings": {
+        "type": "float",
+        "min": null,
+        "max": null
+      },
+      "visible_for_annotators": true,
+      "dataset_id": "7870ac23-3acd-4a83-a453-42475de904cd",
+      "inserted_at": "2025-03-25T09:25:44.077032",
+      "updated_at": "2025-03-25T09:25:44.077032"
+    }
+  ],
+  "vectors": []
+}

.argilla/version.json

@@ -0,0 +1,3 @@
+{
+  "argilla": "2.7.1"
+}

README.md

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 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: status
-    dtype: string
-  - name: inserted_at
-    dtype: timestamp[us]
-  - name: updated_at
-    dtype: timestamp[us]
-  - name: _server_id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: Educational Value.responses
-    sequence: string
-  - name: Educational Value.responses.users
-    sequence: string
-  - name: Educational Value.responses.status
-    sequence: string
-  - name: Language ID correct?.responses
-    sequence: string
-  - name: Language ID correct?.responses.users
-    sequence: string
-  - name: Language ID correct?.responses.status
-    sequence: string
-  - name: metadata.language_score
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 2386459
-    num_examples: 850
-  download_size: 1503385
-  dataset_size: 2386459
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+tags:
+- rlfh
+- argilla
+- human-feedback
 ---
+
+# Dataset Card for nob
+
+
+
+
+
+
+
+This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
+
+
+## Using this dataset with Argilla
+
+To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
+
+```python
+import argilla as rg
+
+ds = rg.Dataset.from_hub("davanstrien/nob", settings="auto")
+```
+
+This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
+
+## Using this dataset with `datasets`
+
+To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("davanstrien/nob")
+```
+
+This will only load the records of the dataset, but not the Argilla settings.
+
+## Dataset Structure
+
+This dataset repo contains:
+
+* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`.
+* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
+* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
+
+The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
+
+### Fields
+
+The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
+
+| Field Name | Title | Type | Required |
+| ---------- | ----- | ---- | -------- |
+| text | text | text | True |
+
+
+### Questions
+
+The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
+
+| Question Name | Title | Type | Required | Description | Values/Labels |
+| ------------- | ----- | ---- | -------- | ----------- | ------------- |
+| Educational Value | Educational Value of the content | label_selection | True | N/A | ['None', 'Minimal', 'Basic', 'Good', 'Excellent', '❗ Problematic Content ❗'] |
+| Language ID correct? | Is this text in the expected language | label_selection | True | N/A | ['yes', 'no'] |
+
+
+<!-- check length of metadata properties -->
+
+### Metadata
+
+The **metadata** is a dictionary that can be used to provide additional information about the dataset record.
+| Metadata Name | Title | Type | Values | Visible for Annotators |
+| ------------- | ----- | ---- | ------ | ---------------------- |
+ | language_score | Language Score | float |  -  | True |
+
+
+
+
+
+### Data Splits
+
+The dataset contains a single split, which is `train`.
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation guidelines
+
+### Guidelines for Rating Educational Content
+
+Rate the content using these criteria:
+
+1️⃣ NO EDUCATIONAL VALUE
+- No educational purpose whatsoever
+- Pure entertainment, ads, or personal content
+- Nothing to learn from this content
+✓ Examples:
+  • Social media conversations about daily life
+  • Online shopping product listings
+  • Advertisement pages
+  • Personal blog posts about someone's day
+  • Forum discussions about entertainment
+  • Comment sections
+  • Sports match reports
+
+2️⃣ MINIMAL EDUCATIONAL VALUE
+- Contains a few facts or pieces of information
+- Mostly non-educational content
+- Information is incidental or not the main focus
+✓ Examples:
+  • News article that mentions some historical facts
+  • Travel blog with basic information about a location
+  • Product review with some technical details
+  • Company website with brief industry information
+  • Recipe that briefly explains a cooking technique
+  • Entertainment article with occasional facts
+
+3️⃣ BASIC EDUCATIONAL CONTENT
+- Attempts to explain or teach something
+- Information might be scattered or disorganized
+- Mixed with non-educational content
+✓ Examples:
+  • Basic how-to guide with ads
+  • Simple Wikipedia-style article
+  • Blog post explaining a concept but lacking depth
+  • Amateur tutorial video transcript
+  • Brief explanation of a scientific concept
+  • Quick overview of a historical event
+
+4️⃣ GOOD EDUCATIONAL CONTENT
+- Clear teaching purpose
+- Well-organized information
+- Suitable for learning
+- May have some minor limitations
+✓ Examples:
+  • Detailed tutorial with clear steps
+  • Well-written educational blog post
+  • Comprehensive guide to a topic
+  • Clear explanation of a scientific process
+  • Structured learning material
+  • Educational website article with examples
+
+5️⃣ EXCELLENT EDUCATIONAL CONTENT
+- Outstanding teaching material
+- Clear structure and thorough explanations
+- Includes helpful examples
+- No distracting content
+✓ Examples:
+  • Professional educational resource
+  • Well-crafted learning module
+  • In-depth guide with clear examples
+  • Comprehensive educational article
+  • High-quality teaching material
+  • Expert explanation with practical applications
+
+6️⃣ PROBLEMATIC CONTENT
+- Wrong language
+- Unreadable or corrupted text
+- Inappropriate content
+- Machine-generated nonsense
+✓ Examples:
+  • Text in a different language than expected
+  • Garbled characters or formatting
+  • Clearly AI-generated spam content
+  • Inappropriate or offensive material
+  • Broken/partial webpage content
+  • Content that's too technical to evaluate
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+[More Information Needed]