Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 91, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: struct<api_list: list<item: struct<code: string, convert_code: string, description: string, method: string, name: string, optional_parameters: list<item: struct<default: string, description: string, name: string, type: string>>, required_parameters: list<item: null>, test_endpoint: string, url: string>>, home_url: string, host: string, name: string, pricing: string, product_id: string, score: struct<__typename: string, avgLatency: int64, avgServiceLevel: int64, avgSuccessRate: int64, popularityScore: double>, title: string, tool_description: string, tool_name: string> vs struct<api_list: list<item: struct<code: string, convert_code: string, description: string, method: string, name: string, optional_parameters: list<item: struct<default: string, description: string, name: string, type: string>>, required_parameters: list<item: struct<default: string, description: string, name: string, type: string>>, schema: struct<>, statuscode: int64, test_endpoint: string, url: string>>, home_url: string, host: string, name: string, pricing: string, product_id: string, score: struct<__typename: string, avgLatency: int64, avgServiceLevel: int64, avgSuccessRate: int64, popularityScore: int64>, title: string, tool_description: string, tool_name: string>: Unable to merge: Field score has incompatible types: struct<__typename: string, avgLatency: int64, avgServiceLevel: int64, avgSuccessRate: int64, popularityScore: double> vs struct<__typename: string, avgLatency: int64, avgServiceLevel: int64, avgSuccessRate: int64, popularityScore: int64>: Unable to merge: Field popularityScore has incompatible types: double vs int64
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This is the tool set of we crawled in Apr 2404 in the ToolBench format and used to train the StableToolBench-Mirror API model. To use this tool set, download the .tar.gz file and unzip it with tar xzvf toolenv2404_filtered.tar.gz and copy the path of the tools folder in the running script of ToolBench. For example,
export TOOLBENCH_KEY=""
export OPENAI_KEY=""
export OPENAI_API_BASE=""
export PYTHONPATH=./
export GPT_MODEL="gpt-3.5-turbo-16k"
export SERVICE_URL="http://localhost:8080/virtual"
export OUTPUT_DIR="data/answer/virtual_chatgpt_cot"
group=G1_instruction
mkdir -p $OUTPUT_DIR; mkdir -p $OUTPUT_DIR/$group
python toolbench/inference/qa_pipeline_multithread.py \
--tool_root_dir toolenv/toolenv2404_filtered \ # This is the place where you fill the path to the tools folder.
--backbone_model chatgpt_function \
--openai_key $OPENAI_KEY \
--max_observation_length 1024 \
--method CoT@1 \
--input_query_file solvable_queries/test_instruction/${group}.json \
--output_answer_file $OUTPUT_DIR/$group \
--toolbench_key $TOOLBENCH_KEY \
--num_thread 1
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