The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Column() changed from object to string in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 183, in _generate_tables
df = pandas_read_json(f)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1391, in _parse
self.obj = DataFrame(
^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/frame.py", line 778, in __init__
mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
index = _extract_index(arrays)
^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 667, in _extract_index
raise ValueError("If using all scalar values, you must pass an index")
ValueError: If using all scalar values, you must pass an index
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
raise e
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
# GetNID — Neurofold Identity Registry v1.0
**A deterministic, cryptographically-immutable identifier registry for 6.7 million Wikipedia concepts.**
GetNID mints a canonical **Neurofold ID (NID)** for every resolved Wikipedia article, bridging human-readable titles and Wikidata QIDs through a trustless, serverless resolution protocol. The registry is designed to function as foundational namespace infrastructure for decentralized knowledge systems.
---
## What is a NID?
A Neurofold ID is a deterministic 13-character identifier derived directly from the SHA-256 hash of a concept's Wikidata QID.
"Mathematics" → Q395 → N5336CE94E17E "Albert Einstein" → Q937 → N6F2A8C14B301
NIDs are **permanent**, **content-addressed**, and **collision-resistant**. They require no central authority to issue or resolve.
---
## Resolution Architecture
The registry implements a **double-sharding scheme** for O(1) lookup with no index scans, no search, and no server-side compute.
Title lookup (double-hop): sha256(normalize(title))[:2] % 256 → router shard → NID NID[1:5] % 8192 → data shard → record
QID / NID lookup (single-hop): sha256(QID)[:4] % 8192 → data shard → record NID[1:5] % 8192 → data shard → record
| Layer | Shards | Purpose |
|---|---|---|
| Data shards | 8,192 | `ledger(nid, qid, title, lang)` |
| Router shards | 256 | `routes(key_hash, target_nid)` |
All shards are static SQLite files (~100KB each). The full registry is ~1.5GB. Every shard is independently verifiable against a cryptographic `manifest.json` generated at genesis time.
---
## Live Demo
**[getnid.org](https://getnid.org)** — resolve any Wikipedia title, QID, or NID in the browser.
Resolution runs entirely client-side via a Web Worker using sql.js (SQLite compiled to WebAssembly). Resolved shards are cached locally via the browser's **Origin Private File System (OPFS)**, enabling zero-latency offline resolution after first access. Users can opt into a full global sync to permanently mirror the entire registry locally.
---
## Dataset Structure
v1/ ├── manifest.json # SHA-256 hash of every shard (trustless verification) ├── meta.json # Version, genesis timestamp, master checksum, metrics ├── shards/ │ ├── shard_0000.db # SQLite — ledger table │ ├── shard_0001.db │ └── ... (8,192 total) └── routers/ ├── router_000.db # SQLite — routes table ├── router_001.db └── ... (256 total)
### `ledger` schema (data shards)
```sql
CREATE TABLE ledger (
nid TEXT PRIMARY KEY, -- e.g. N5336CE94E17E
qid TEXT UNIQUE, -- e.g. Q395
title TEXT, -- e.g. Mathematics
lang TEXT -- e.g. en
);
routes schema (router shards)
CREATE TABLE routes (
key_hash TEXT PRIMARY KEY, -- sha256(norm_title)[:16]
shard_id INTEGER,
norm_title TEXT,
target_nid TEXT
);
Usage
Python (local resolution)
from getnid.registry import LocalRegistryClient
from pathlib import Path
client = LocalRegistryClient(Path("./v1"))
# Resolve by title
client.get_by_title("Mathematics")
# → {"nid": "N5336CE94E17E", "qid": "Q395", "title": "Mathematics", "lang": "en"}
# Resolve by QID
client.get_by_qid("Q42")
# → {"nid": "N...", "qid": "Q42", "title": "Douglas Adams", "lang": "en"}
# Resolve by NID
client.get_by_nid("N5336CE94E17E")
# → {"nid": "N5336CE94E17E", "qid": "Q395", "title": "Mathematics", "lang": "en"}
Direct shard query (any language)
import hashlib, sqlite3
def resolve_qid(qid: str, shard_dir: str) -> dict:
h = hashlib.sha256(qid.upper().encode()).hexdigest().upper()
shard_id = int(h[:4], 16) % 8192
db_path = f"{shard_dir}/shard_{shard_id:04d}.db"
with sqlite3.connect(db_path) as conn:
row = conn.execute(
"SELECT nid, qid, title, lang FROM ledger WHERE qid = ?",
(qid.upper(),)
).fetchone()
return dict(zip(["nid", "qid", "title", "lang"], row)) if row else None
JavaScript / Browser
const sha256 = async (text) => {
const buf = await crypto.subtle.digest('SHA-256', new TextEncoder().encode(text));
return Array.from(new Uint8Array(buf)).map(b => b.toString(16).padStart(2,'0')).join('').toUpperCase();
};
async function resolveQID(qid) {
const hash = await sha256(qid.toUpperCase());
const shardId = parseInt(hash.slice(0, 4), 16) % 8192;
const fileName = `shard_${String(shardId).padStart(4,'0')}.db`;
// Fetch shard, query with sql.js
}
Metrics
| Metric | Value |
|---|---|
| Minted NIDs | ~6.7M |
| Languages | en (v1.0) |
| Data shards | 8,192 |
| Router shards | 256 |
| Avg shard size | ~100 KB |
| Total payload | ~1.5 GB |
| Lookup complexity | O(1) |
Licensing
| Component | License |
|---|---|
| Registry code & protocol | Apache 2.0 |
| Ledger data (derived from Wikidata) | CC BY-SA 4.0 |
Wikidata content is made available by the Wikimedia Foundation under CC BY-SA 4.0. Use of the registry data is subject to those upstream terms.
Repository
Citation
@misc{getnid2026,
author = {Larson, JB},
title = {GetNID: Neurofold Identity Registry v1.0},
year = {2026},
url = {https://huggingface.co/datasets/Neurofold/getnid},
note = {Deterministic identifier registry for 6.7M Wikipedia concepts}
}
- Downloads last month
- 7,377