datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
python-toolcallsLogs from run_python_code tool used for benchmarking.
unified-tool-calls
unified-tool-calls
A single consolidated corpus of tool-calling conversations converted from four source datasets into one unified format.
Source datasets
source
repository
raw rows
converted
in final corpus
xlam
dusersad12/xlam-function-calling-60k
100
97
92
toolace
dusersad12/ToolACE
30
30
28
glaive
dusersad12/glaive_toolcall_en
100
97
92
hermes
dusersad12/hermes-tool-calls
18
18
16
Total entries in the merged corpus: 228.… See the full description on the dataset page: https://huggingface.co/datasets/dusersad12/unified-tool-calls.hermes-tool-calls
hermes-tool-calls
A mirror of the hermes tool-calling conversations. Every line of
data/train.jsonl is one JSON object.
Entry format
messages: list of turns in OpenAI chat style.
Some entries begin with a system message that defines the assistant's
persona. Persona prompts never contain tool definitions or tool-usage
instructions.
Assistant messages that invoke tools carry tool_calls: a list of
{id, type: "function", function: {name, arguments}} objects where… See the full description on the dataset page: https://huggingface.co/datasets/dusersad12/hermes-tool-calls.tech-duinn-toolcallstool-calls-datasetbash-toolcallsToolCall-SFT-v2-40Ksgd-banking-tajik-toolcalls
Saidzoda Lab — Gated Research Dataset
Part of Saidzoda Lab's Central-Asian language research (Tajik, Uzbek, Kazakh, Kyrgyz).
Dataset contents, provenance, and statistics are not publicly disclosed.
Access is granted manually on request.
ft-chat-validation-valid_with_tool_callssera-4.5-django-t2-recall05-toolcalls
SERA-4.5A Django T2 (Recall=0.5) Toolcalls
This dataset contains normalized multi-turn tool-calling trajectories derived from:
Source dataset: allenai/Sera-4.5A-Django-T2
Filter: line_level_recall == 0.5
Splits
train.jsonl: 6200 records
val.jsonl: 331 records
Format
Each line is a JSON object with:
id: trajectory id
messages: normalized chat/tool-call messages
metadata: includes instance_id, func_name, func_path, line_level_recall
Processing… See the full description on the dataset page: https://huggingface.co/datasets/endsky/sera-4.5-django-t2-recall05-toolcalls.