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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, 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.
Retro-Sync: Hurrian Hymn h.6 — 71-Shard NFT Collection
The world's oldest surviving notated music (~1400 BC, Ugarit) encoded as a multi-layered NFT collection with ZK proofs and steganographic embedding.
Collection
71 DA51 CBOR shards — one for each integer 1..71 (the crown prime). 20 generator shards (primes ≤ 71) carry the SSP interval structure. 51 derived shards (composites) carry content determined by prime factorization.
| Layer | Content | Format |
|---|---|---|
| Source | Babylonian notation, interval mapping | text |
| Notation | LilyPond score (West 1994) | .ly |
| Artifacts | MIDI, PDF score, WAV audio | base64 in CBOR |
| Witnesses | Compilation chain (5 steps) | JSON |
| Eigenspace | Earth/Spoke/Hub decomposition | numeric |
| Metadata | Tablet, scribe, tuning, deity | structured |
| References | Wikipedia, scholarly, LilyPond docs | URLs |
| YouTube | Private audio comparison sources | URLs |
| Pipeline | SOP, erdfa CFT, boustrophedon, Cl(15) | text |
| ZK Proof | Groth16/BN254, MiMC Merkle tree | JSON |
Structure
shards/ # 595 erdfa CFT-decomposed shards
nft71/ # 71 DA51 CBOR shards (real data, 11.2 MB)
├── 01.cbor # reserved
├── 02.cbor # ★ nīš tuḫrim (p2)
├── ...
├── 10.cbor # WAV audio (8.4 MB base64)
├── ...
├── 71.cbor # ★ colophon/crown (p71)
└── manifest.json
proof/
└── nft71_proof.json # Groth16 proof
witnesses/
└── hurrian_h6_witness.json
Decoding
Each shard is a DA51-tagged CBOR envelope:
- Bytes 0-1:
0xDA 0x51(magic) - Bytes 2-9: SHA-256 prefix (CID stub)
- Bytes 10+: CBOR payload
import cbor2, json
with open("nft71/02.cbor", "rb") as f:
raw = f.read()
magic = raw[:2] # b'\xda\x51'
cid = raw[2:10].hex()
payload = cbor2.loads(raw[10:])
print(json.dumps(payload, indent=2))
ZK Verification
The Groth16 proof verifies:
- Prover knows all 71 shard hashes
- All form a valid MiMC Merkle tree
- Eigenspace commitment matches (100% Earth)
- Crown shard (p71) is unique
License
AGPL-3.0-or-later. The underlying Hurrian composition is public domain (~3400 years old).
Links
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