license: cc-by-4.0
dataset_info:
features:
- name: system
dtype: string
- name: in
dtype: string
- name: out
dtype: string
splits:
- name: train
num_bytes: 302707
num_examples: 210
- name: validation
num_bytes: 12666
num_examples: 9
- name: test
num_bytes: 38455
num_examples: 26
download_size: 39743
dataset_size: 353828
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
task_categories:
- text-generation
language:
- en
tags:
- code
- dsl
- robotics
- robot-arm
- interactive-agents
- structured-output
- tool-calling
pretty_name: DIA Intent Sequencer for robot arm
size_categories:
- n<1K
dia-intent-sequencer-robot-arm-dataset
This dataset is used to prototype models for the DIA DSL module. It serves as a demonstration and testbed to evaluate, within the context of the DIA DSL, the model's capability to engage with users in an attempt to resolve incomplete or ambiguous inputs, and to recover from runtime errors during task execution when possible.
It is provided for demonstration and experimentation purposes only.
It pairs natural language instructions, with symbolic DSL function calls compatible with the module DIA intent sequencer format. The natural language instructions refer to commands supported by a custom robotic arm I built for experimentation, which manages an inventory of screws.
Unlike synthetic datasets, this one was authored by hand to reflect grounded use cases. It illustrates:
- π Mapping user intent to tool calls
- π Attempting to resolve missing parameters using runtime-accessible resources
- π€ Attempting to clarify ambiguous input and to handle runtime errors through dialogue
This dataset is part of a set of three DIA
datasets, each demonstrating different capabilities of intent sequencing and tool-based reasoning:
π¦ Format
The dataset uses a wide format with the following columns:
system
β the system prompt that defines the model's taskin
β a natural language instruction corresponding to a command supported by my custom robotic arm (e.g.,"retrieve 3 screws that are 10mm long"
)out
β a structured DSL expression encoding tool calls with function and argument mappings (e.g.,retrieve_screw(count=3, length=10)
)
Each entry follows the structure:
system β in β out
π System Prompt Format
The system
prompt is a structured instruction that tells the model to translate the user input into one or more atomic DIA DSL function calls based on a list of available functions (tools) that my custom robotic arm can perform, such as retrieve_screw
, initialize
, and others.
The DIA LLM invocation strategy documents the prompts contained in this demo dataset.
Some system prompts contain the following section:
You have access to the following sources that can be queried to fill in missing information using QUERY_FILL:
...
This allows a model to handle missing or incomplete information, for example, to:
- Query the inventory for relevant values
- Attempt to clarify incomplete or conflicting user input through interaction
π‘ Example: A user might say, "Give me one of the longest screws." The model will attempt to use
QUERY_FILL(...)
to retrieve the appropriate length at runtime.
π§ DIA DSL Project
The DSL used in this dataset is defined in the DIA module.
For an example using a demo model built with this demo dataset, see robot_arm.py
.
π Using the Dataset
To load the dataset:
from fifo_tool_datasets.sdk.hf_dataset_adapters.dsl import DSLAdapter
dataset_dict = DSLAdapter().from_hub_to_dataset_dict("a6188466/dia-intent-sequencer-robot-arm-dataset")
print(dataset_dict["train"])
print(dataset_dict["validation"])
print(dataset_dict["test"])
π§ Upload & Editing Tools
Uploaded via fifo-tool-datasets
using the dsl
adapter.
You can edit or extend the dataset using its .dat
format and CLI tools.
β οΈ Disclaimer & Limitations
This dataset was authored by hand for demonstration and experimentation purposes. It is intended solely for prototyping models for the DIA DSL module.
It focuses on a limited set of custom functions specific to my custom robotic arm and serves as a simple, controlled example. It's not meant to cover the full range of possible user inputs, tasks, or edge cases. The dataset should be independently evaluated and extended to meet the specific requirements of any use case.
This dataset is provided as is, without any warranties, express or implied. The authors and contributors assume no responsibility for its accuracy, completeness, or suitability for any purpose.
πͺͺ License
This dataset is licensed under CC BY 4.0. See LICENSE for details.