messages list | metadata dict |
|---|---|
[
{
"role": "system",
"content": "Current date and time given in YYYY-MM-DDTHH:MM:SS format: 2026-02-23T21:26:19\nDay of week is Tuesday\nYou are a model that can do function calling with the following functions\n\n[{\"name\":\"turn_on_flashlight\",\"description\":\"Turns the flashlight on\",\"parameters\":{\... | {
"model": "lfm25-mobile-actions",
"chat_id": "chat_1771881750106_5e2pagfj5",
"title": "Hi",
"message_count": 4,
"created_at": "2026-02-23T21:22:30.107Z",
"updated_at": "2026-02-23T21:24:03.736Z"
} |
YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
liquidchat-mobile-actions-2026-02-23
Chat history dataset exported from LiquidChat mobile app.
Dataset Description
This dataset contains conversations with a mobile-actions fine-tuned LLM, including tool calls (flashlight, calendar, email, maps, contacts, wifi) and their results.
Usage
from datasets import load_dataset
dataset = load_dataset("kshitijthakkar/liquidchat-mobile-actions-2026-02-23")
- Created by: kshitijthakkar
- Exported from: LiquidChat
- License: Apache 2.0
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