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  1. .argilla/dataset.json +1 -0
  2. .argilla/settings.json +1 -0
  3. README.md +178 -27
.argilla/dataset.json ADDED
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+ {"id": "6fd080aa-c9ed-4a80-8af1-4da0cc6b8999", "inserted_at": "2026-02-21T12:36:51.205283", "updated_at": "2026-02-21T12:36:52.181700", "name": "imdb", "status": "ready", "guidelines": null, "allow_extra_metadata": true, "distribution": {"strategy": "overlap", "min_submitted": 1}, "workspace_id": "05df5c04-43cb-4584-a5f8-4d6d4fc3249e", "last_activity_at": "2026-02-21T12:39:31.987214"}
.argilla/settings.json ADDED
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+ {"guidelines": null, "questions": [{"id": "1190ca90-981d-4b18-a171-ffd0d39e64dc", "inserted_at": "2026-02-21T12:36:51.902546", "updated_at": "2026-02-21T12:36:51.902546", "name": "label_0", "settings": {"type": "label_selection", "options": [{"value": "positive", "text": "positive", "description": null}, {"value": "negative", "text": "negative", "description": null}, {"value": "neutral", "text": "neutral", "description": null}], "visible_options": 3}, "title": "label_0", "description": null, "required": true, "dataset_id": "6fd080aa-c9ed-4a80-8af1-4da0cc6b8999", "type": "label_selection"}], "fields": [{"id": "d2a49e2e-ba03-4cec-a497-e6e178cbc3ad", "inserted_at": "2026-02-21T12:36:51.564011", "updated_at": "2026-02-21T12:36:51.564011", "name": "text", "settings": {"type": "text", "use_markdown": false}, "title": "text", "required": false, "description": null, "dataset_id": "6fd080aa-c9ed-4a80-8af1-4da0cc6b8999", "type": "text"}], "vectors": [], "metadata": [], "allow_extra_metadata": true, "distribution": {"strategy": "overlap", "min_submitted": 1}, "mapping": null}
README.md CHANGED
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  ---
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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: status
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- dtype: string
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- - name: _server_id
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- dtype: string
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- - name: text
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- dtype: string
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- - name: label_0.responses
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- list: string
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- - name: label_0.responses.status
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- list: string
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- - name: label_0.responses.users
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- list: string
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- splits:
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- - name: train
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- num_bytes: 13898971
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- num_examples: 10000
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- download_size: 8797982
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- dataset_size: 13898971
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ size_categories: 10K<n<100K
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+ tags:
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+ - rlfh
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+ - argilla
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+ - human-feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Dataset Card for imdb
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+
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+
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+
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+ 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).
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+
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+
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+ ## Using this dataset with Argilla
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+
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+ To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
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+
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+ ```python
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+ import argilla as rg
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+
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+ ds = rg.Dataset.from_hub("Ruslan10/imdb", settings="auto")
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+ ```
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+
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+ This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
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+
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+ ## Using this dataset with `datasets`
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+
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+ 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:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("Ruslan10/imdb")
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+ ```
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+
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+ This will only load the records of the dataset, but not the Argilla settings.
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+
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+ ## Dataset Structure
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+
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+ This dataset repo contains:
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+
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+ * 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`.
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+ * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
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+ * A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
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+
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+ The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
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+
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+ ### Fields
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+
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+ 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.
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+
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+ | Field Name | Title | Type | Required | Markdown |
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+ | ---------- | ----- | ---- | -------- | -------- |
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+ | text | text | text | False | False |
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+
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+
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+ ### Questions
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+
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+ 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.
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+
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+ | Question Name | Title | Type | Required | Description | Values/Labels |
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+ | ------------- | ----- | ---- | -------- | ----------- | ------------- |
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+ | label_0 | label_0 | label_selection | True | N/A | ['positive', 'negative', 'neutral'] |
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+
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+
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+ <!-- check length of metadata properties -->
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+
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+
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+
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+
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+
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+ ### Data Instances
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+
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+ An example of a dataset instance in Argilla looks as follows:
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+
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+ ```json
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+ {
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+ "_server_id": "bdeae608-f83b-4fdb-83fe-98dd3a4369c4",
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+ "fields": {
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+ "text": "I rented I AM CURIOUS-YELLOW from my video store because of all the controversy that surrounded it when it was first released in 1967. I also heard that at first it was seized by U.S. customs if it ever tried to enter this country, therefore being a fan of films considered \"controversial\" I really had to see this for myself.\u003cbr /\u003e\u003cbr /\u003eThe plot is centered around a young Swedish drama student named Lena who wants to learn everything she can about life. In particular she wants to focus her attentions to making some sort of documentary on what the average Swede thought about certain political issues such as the Vietnam War and race issues in the United States. In between asking politicians and ordinary denizens of Stockholm about their opinions on politics, she has sex with her drama teacher, classmates, and married men.\u003cbr /\u003e\u003cbr /\u003eWhat kills me about I AM CURIOUS-YELLOW is that 40 years ago, this was considered pornographic. Really, the sex and nudity scenes are few and far between, even then it\u0027s not shot like some cheaply made porno. While my countrymen mind find it shocking, in reality sex and nudity are a major staple in Swedish cinema. Even Ingmar Bergman, arguably their answer to good old boy John Ford, had sex scenes in his films.\u003cbr /\u003e\u003cbr /\u003eI do commend the filmmakers for the fact that any sex shown in the film is shown for artistic purposes rather than just to shock people and make money to be shown in pornographic theaters in America. I AM CURIOUS-YELLOW is a good film for anyone wanting to study the meat and potatoes (no pun intended) of Swedish cinema. But really, this film doesn\u0027t have much of a plot."
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+ },
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+ "id": "train_0",
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+ "metadata": {},
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+ "responses": {},
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+ "status": "pending",
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+ "suggestions": {},
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+ "vectors": {}
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+ }
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+ ```
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+
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+ While the same record in HuggingFace `datasets` looks as follows:
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+
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+ ```json
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+ {
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+ "_server_id": "bdeae608-f83b-4fdb-83fe-98dd3a4369c4",
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+ "id": "train_0",
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+ "label_0.responses": null,
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+ "label_0.responses.status": null,
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+ "label_0.responses.users": null,
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+ "status": "pending",
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+ "text": "I rented I AM CURIOUS-YELLOW from my video store because of all the controversy that surrounded it when it was first released in 1967. I also heard that at first it was seized by U.S. customs if it ever tried to enter this country, therefore being a fan of films considered \"controversial\" I really had to see this for myself.\u003cbr /\u003e\u003cbr /\u003eThe plot is centered around a young Swedish drama student named Lena who wants to learn everything she can about life. In particular she wants to focus her attentions to making some sort of documentary on what the average Swede thought about certain political issues such as the Vietnam War and race issues in the United States. In between asking politicians and ordinary denizens of Stockholm about their opinions on politics, she has sex with her drama teacher, classmates, and married men.\u003cbr /\u003e\u003cbr /\u003eWhat kills me about I AM CURIOUS-YELLOW is that 40 years ago, this was considered pornographic. Really, the sex and nudity scenes are few and far between, even then it\u0027s not shot like some cheaply made porno. While my countrymen mind find it shocking, in reality sex and nudity are a major staple in Swedish cinema. Even Ingmar Bergman, arguably their answer to good old boy John Ford, had sex scenes in his films.\u003cbr /\u003e\u003cbr /\u003eI do commend the filmmakers for the fact that any sex shown in the film is shown for artistic purposes rather than just to shock people and make money to be shown in pornographic theaters in America. I AM CURIOUS-YELLOW is a good film for anyone wanting to study the meat and potatoes (no pun intended) of Swedish cinema. But really, this film doesn\u0027t have much of a plot."
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+ }
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+ ```
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+
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+
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+ ### Data Splits
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+ The dataset contains a single split, which is `train`.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+ [More Information Needed]
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+ ### Source Data
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+ #### Initial Data Collection and Normalization
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+ [More Information Needed]
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+
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+ ### Annotations
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+ #### Annotation guidelines
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+ [More Information Needed]
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+ #### Annotation process
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+ [More Information Needed]
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+ #### Who are the annotators?
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+ [More Information Needed]
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+ ### Personal and Sensitive Information
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+ [More Information Needed]
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+ ## Considerations for Using the Data
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+ ### Social Impact of Dataset
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+ [More Information Needed]
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+ ### Discussion of Biases
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+ [More Information Needed]
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+ ### Other Known Limitations
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+ [More Information Needed]
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+ ## Additional Information
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+ ### Dataset Curators
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+ [More Information Needed]
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+ ### Licensing Information
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+ [More Information Needed]
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+ ### Citation Information
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+ [More Information Needed]
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+ ### Contributions
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+ [More Information Needed]