Datasets:

AdvaithMagic
/

P-KG

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'id', 'description', 'name'}) and 3 missing columns ({'weight', 'target', 'source'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AdvaithMagic/P-KG/flat_graph/nodes.csv (at revision 62a982f21affc999f2aa4b815d0a6a446eb8ef4f), ['hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/flat_graph/edges.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/flat_graph/nodes.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/hypergraph/hyperedge_members.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/hypergraph/hyperedges.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/hypergraph/nodes.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              name: string
              type: string
              description: string
              attributes: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 841
              to
              {'source': Value('string'), 'target': Value('string'), 'type': Value('string'), 'weight': Value('float64'), 'attributes': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'id', 'description', 'name'}) and 3 missing columns ({'weight', 'target', 'source'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AdvaithMagic/P-KG/flat_graph/nodes.csv (at revision 62a982f21affc999f2aa4b815d0a6a446eb8ef4f), ['hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/flat_graph/edges.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/flat_graph/nodes.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/hypergraph/hyperedge_members.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/hypergraph/hyperedges.csv', 'hf://datasets/AdvaithMagic/P-KG@62a982f21affc999f2aa4b815d0a6a446eb8ef4f/hypergraph/nodes.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

source string	target string	type string	weight float64	attributes null
auto-cot	cot	extends	1	null
self-consistency	cot	extends	1	null
logicot	cot	extends	1	null
cos	cot	extends	1	null
tot	cot	extends	1	null
thot	cot	extends	1	null
chain-of-table	cot	extends	1	null
echo	auto-cot	extends	1	null
logic-of-thought	cot	extends	1	null
cd-cot	cot	extends	1	null
r-cot	cot	extends	1	null
cod	cot	extends	1	null
complex-cot	cot	extends	1	null
ccot	cot	extends	1	null
contrastive-sc	self-consistency	extends	1	null
faithful-cot	cot	extends	1	null
pot	cot	extends	1	null
pal	cot	extends	1	null
coc	cot	extends	1	null
scot	cot	extends	1	null
code-prompting	cot	extends	1	null
least-to-most	cot	extends	1	null
plan-and-solve	cot	extends	1	null
mathprompter	cot	extends	1	null
active-prompt	cot	extends	1	null
iap	cot	extends	1	null
analogical-reasoning	cot	extends	1	null
synthetic-prompting	cot	extends	1	null
maieutic	cot	extends	1	null
metacognitive	cot	extends	1	null
cove	cot	extends	1	null
thor	cot	extends	1	null
coe	cot	extends	1	null
decomp	cot	extends	1	null
ensemble-refinement	cot	extends	1	null
ensemble-refinement	self-consistency	extends	1	null
verify-and-edit	cot	extends	1	null
verify-and-edit	self-consistency	extends	1	null
fed-sp-dp	cot	extends	1	null
fed-sp-dp	self-consistency	extends	1	null
decomp	least-to-most	extends	1	null
metacognitive	plan-and-solve	extends	1	null
active-prompt	self-consistency	extends	1	null
contrastive-sc	ccot	extends	1	null
complex-cot	self-consistency	extends	1	null
got	tot	extends	1	null
bot	tot	extends	1	null
xot	tot	extends	1	null
con	rag	extends	1	null
cok	rag	extends	1	null
implicit-rag	rag	extends	1	null
graph-rag	rag	extends	1	null
gnn-rag	rag	extends	1	null
agentic-rag	rag	extends	1	null
hyde	rag	extends	1	null
query2doc	rag	extends	1	null
selfmem	rag	extends	1	null
meta-rag	rag	extends	1	null
cok	cot	extends	1	null
cove	rag	extends	1	null
art	cot	extends	1	null
react	cot	extends	1	null
dater	binder	extends	1	null
chain-of-table	dater	extends	1	null
coc	pot	extends	1	null
multibot	pot	extends	1	null
faithful-cot	pal	extends	1	null
s2a	instructed-prompting	extends	1	null
few-shot	zero-shot	extends	1	null
reflexion	react	extends	1	null
self-discover	cot	extends	1	null
skeleton-of-thought	cot	extends	1	null
cumulative-reasoning	tot	extends	1	null
multi-agent-debate	self-consistency	extends	1	null
ama	few-shot	extends	1	null
take-step-back	cot	extends	1	null
self-refine	cot	extends	1	null
self-consistency	alg-majority-voting	uses_algorithm	1	null
cd-cot	alg-majority-voting	uses_algorithm	1	null
complex-cot	alg-majority-voting	uses_algorithm	1	null
contrastive-sc	alg-majority-voting	uses_algorithm	1	null
ensemble-refinement	alg-majority-voting	uses_algorithm	1	null
fed-sp-dp	alg-majority-voting	uses_algorithm	1	null
diverse	alg-majority-voting	uses_algorithm	1	null
multibot	alg-majority-voting	uses_algorithm	1	null
tot	alg-tree-search	uses_algorithm	1	null
maieutic	alg-tree-search	uses_algorithm	1	null
tot	alg-backtracking	uses_algorithm	1	null
got	alg-backtracking	uses_algorithm	1	null
pot	alg-code-execution	uses_algorithm	1	null
pal	alg-code-execution	uses_algorithm	1	null
coc	alg-code-execution	uses_algorithm	1	null
mathprompter	alg-code-execution	uses_algorithm	1	null
scratchpad	alg-code-execution	uses_algorithm	1	null
binder	alg-code-execution	uses_algorithm	1	null
dater	alg-code-execution	uses_algorithm	1	null
faithful-cot	alg-code-execution	uses_algorithm	1	null
multibot	alg-code-execution	uses_algorithm	1	null
rag	alg-retrieval	uses_algorithm	1	null
con	alg-retrieval	uses_algorithm	1	null

End of preview.

P-KG - From "The Missing Link: Knowledge Graph-Guided Discovery of Novel Prompt Compositions (A.S. Kumar et al., 2026)"

This repository contains the knowledge graph and hypergraph utilised in the work "The Missing Link: Knowledge Graph-Guided Discovery of Novel Prompt Compositions (A.S. Kumar et al., 2026)".

Licensing

This data is released under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license. You are free to share, copy, and adapt this dataset for any purpose, including commercially, provided you give appropriate credit.

Data Schema & Ontologies

The dataset uses a shared vocabulary defined in ontology.ttl. The core classes include:

Technique: Prompt engineering techniques (e.g., Chain-of-Thought, ReAct).
AlgorithmicComponent: Components containing execution, search, or retrieval logic.
PromptComponent: Components defining prompt structures (examples, constraints).
DataFlow: Components handling loop, feedback, or decomposition flows.
Task: Evaluation datasets and tasks (e.g., GSM8K, HumanEval).
CognitiveCapability: Intermediate capability nodes mapping Techniques to Tasks.
BenchmarkResult: Specific model outputs on benchmarks.

Directory Structure

/
├── README.md             # This documentation file
├── metadata.json         # Dataset metadata, versioning, and summary statistics
├── ontology.ttl          # Shared OWL ontology defining classes and properties
├── flat_graph/           # Flat graph representation (binary relations)
│   ├── nodes.csv         # Flat graph node table
│   ├── edges.csv         # Flat graph edge table
│   ├── graph.json        # Unified hierarchical JSON graph
│   ├── graph.ttl         # RDF Turtle triples representation
│   └── node_features.npy # NumPy embedding matrix [num_nodes, 384] for nodes
└── hypergraph/           # Hypergraph representation (set-based techniques)
    ├── nodes.csv         # Hypergraph node table (excludes Techniques)
    ├── hyperedges.csv    # Hyperedges (Techniques) table
    ├── hyperedge_members.csv # Join table linking hyperedges to member nodes
    ├── hypergraph.json   # Unified hierarchical JSON hypergraph
    ├── hypergraph.ttl    # RDF Turtle reified hypergraph representation
    └── node_features.npy # NumPy embedding matrix [num_nodes, 384] for nodes

Dataset Statistics

Flat Graph

Nodes: 242
Edges: 779
Node Embeddings: flat_graph/node_features.npy has shape [242, 384] (384-dimensional SentenceTransformer embeddings generated using the all-MiniLM-L6-v2 model).

Hypergraph

Nodes (non-Technique members): 151
Hyperedges (Technique entities): 91
Node Embeddings: hypergraph/node_features.npy has shape [151, 384].

Downloads last month: 1

Total file size:

1.32 MB