Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Sub-tasks:
named-entity-recognition
Languages:
Persian
Size:
10K - 100K
ArXiv:
License:
Download annotation/scripts/annotate.js from Phazel/fa-perdt-ner: direct link, hf CLI and curl.
- Browser
- Download file 6.67 kB
-
https://huggingface.co/datasets/Phazel/fa-perdt-ner/resolve/main/annotation/scripts/annotate.js
- Command line
-
hf download hf://datasets/Phazel/fa-perdt-ner/annotation/scripts/annotate.js
-
curl -L -o annotate.js https://huggingface.co/datasets/Phazel/fa-perdt-ner/resolve/main/annotation/scripts/annotate.js
6.67 kB
| // LLM NER annotator. Runs inside the harness JS eval kernel because `completion()` only | |
| // exists there. Invoke from an eval cell: | |
| // | |
| // globalThis.ANNOTATE = { | |
| // jobs: [{ requests: "<abs>/…/shard-000.jsonl", responses: "<abs>/…/shard-000.jsonl" }, …], | |
| // cache: "<abs>/annotation/work/cache", | |
| // model: "default", concurrency: 16, | |
| // }; | |
| // await (0, eval)(await Bun.file("<abs>/scripts/annotation/annotate.js").text()); | |
| // | |
| // A single `{requests, responses}` pair may be given at the top level instead of `jobs`. | |
| // Every batch of every job goes into ONE work queue, so `concurrency` is the real number of | |
| // in-flight model calls no matter how the work is split across files; shard boundaries cost | |
| // nothing in throughput. | |
| // | |
| // Indirect eval runs in global scope, so `completion` resolves. Everything lives inside one | |
| // async IIFE so the file can be evaluated repeatedly without lexical redeclaration errors. | |
| // | |
| // Per request line: cache hit -> reuse; else call the model, verify the returned id set | |
| // equals the requested one, retry once on mismatch, then split the batch in half and | |
| // re-issue each half. A call that throws (rate limit, transport) is retried with backoff and | |
| // then recorded as failed; failures are never cached, so re-running resumes exactly the | |
| // batches that did not land. | |
| (async () => { | |
| const cfg = globalThis.ANNOTATE; | |
| if (!cfg) throw new Error("set globalThis.ANNOTATE before evaluating annotate.js"); | |
| if (typeof completion === "undefined") { | |
| throw new Error("completion() is not visible; paste this file's body into the eval cell"); | |
| } | |
| const model = cfg.model ?? "default"; | |
| const concurrency = cfg.concurrency ?? 8; | |
| const attempts = cfg.attempts ?? 3; | |
| const jobs = cfg.jobs ?? [{ requests: cfg.requests, responses: cfg.responses }]; | |
| const INSTRUCTION = "Annotate every sentence. Return one item per id."; | |
| const { mkdir, writeFile } = await import("node:fs/promises"); | |
| const path = await import("node:path"); | |
| await mkdir(cfg.cache, { recursive: true }); | |
| const queue = []; | |
| for (const [j, job] of jobs.entries()) { | |
| const text = await Bun.file(job.requests).text(); | |
| const reqs = text.split("\n").filter((l) => l.trim()).map((l) => JSON.parse(l)); | |
| job.results = new Array(reqs.length); | |
| await mkdir(path.dirname(job.responses), { recursive: true }); | |
| reqs.forEach((req, i) => queue.push({ job: j, index: i, req })); | |
| } | |
| const stats = { cached: 0, called: 0, retried: 0, errored: 0, failed: 0 }; | |
| const sleep = (ms) => new Promise((r) => setTimeout(r, ms)); | |
| const parse = (raw) => (typeof raw === "string" ? JSON.parse(raw) : raw); | |
| const bodyFor = (req, ids) => { | |
| const byId = new Map(req.sentences.map((s) => [s.id, s.text])); | |
| return INSTRUCTION + "\n\n" + ids.map((id) => `${id}: ${byId.get(id)}`).join("\n"); | |
| }; | |
| // One model call, retried through transport/rate-limit errors before giving up. | |
| const ask = async (req, ids) => { | |
| for (let a = 1; ; a++) { | |
| try { | |
| stats.called += 1; | |
| const out = parse( | |
| await completion(bodyFor(req, ids), { model, system: req.system, schema: req.schema }).wait(), | |
| ); | |
| const items = Array.isArray(out?.items) ? out.items : []; | |
| const want = new Set(ids); | |
| const got = new Set(items.map((i) => i.id)); | |
| const ok = got.size === want.size && [...want].every((id) => got.has(id)); | |
| return { items: items.filter((i) => want.has(i.id)), ok }; | |
| } catch (err) { | |
| stats.errored += 1; | |
| if (a >= attempts) { | |
| console.log(` call failed on ${req.batch} after ${a} attempts: ${err?.message ?? err}`); | |
| return { items: [], ok: false, threw: true }; | |
| } | |
| await sleep(1000 * 2 ** (a - 1)); | |
| } | |
| } | |
| }; | |
| const run = async (req, ids, depth = 0) => { | |
| let attempt = await ask(req, ids); | |
| if (attempt.ok) return { items: attempt.items, error: null }; | |
| // A thrown call (transport, rate limit, content refusal) is not necessarily the whole | |
| // batch's fault: a single sentence can trigger a refusal. Bisect so the rest still lands. | |
| if (attempt.threw && ids.length === 1) return { items: [], error: "call-failed" }; | |
| if (!attempt.threw && depth === 0) { | |
| stats.retried += 1; | |
| attempt = await ask(req, ids); | |
| if (attempt.ok) return { items: attempt.items, error: null }; | |
| } | |
| if (ids.length > 1 && (attempt.threw || depth < 2)) { | |
| const mid = Math.ceil(ids.length / 2); | |
| const [ra, rb] = [ | |
| await run(req, ids.slice(0, mid), depth + 1), | |
| await run(req, ids.slice(mid), depth + 1), | |
| ]; | |
| const errs = [ra.error, rb.error].filter(Boolean); | |
| return { items: [...ra.items, ...rb.items], error: errs.length ? errs[0] : null }; | |
| } | |
| console.log(` id-mismatch on ${req.batch} ids=${ids.join(",")}`); | |
| return { items: attempt.items, error: "id-mismatch" }; | |
| }; | |
| let next = 0; | |
| const worker = async () => { | |
| for (;;) { | |
| const slot = next++; | |
| if (slot >= queue.length) return; | |
| const { job: j, index, req } = queue[slot]; | |
| const cacheFile = path.join(cfg.cache, `${req.cache_key}.json`); | |
| if (await Bun.file(cacheFile).exists()) { | |
| jobs[j].results[index] = JSON.parse(await Bun.file(cacheFile).text()); | |
| stats.cached += 1; | |
| continue; | |
| } | |
| if (cfg.cacheOnly) { | |
| jobs[j].results[index] = { | |
| batch: req.batch, model, prompt_hash: req.prompt_hash, items: [], | |
| error: "uncached", failed_ids: req.ids, | |
| }; | |
| stats.failed += 1; | |
| continue; | |
| } | |
| const { items, error } = await run(req, req.ids); | |
| const record = { | |
| batch: req.batch, | |
| model, | |
| prompt_hash: req.prompt_hash, | |
| items, | |
| error, | |
| ...(error ? { failed_ids: req.ids.filter((id) => !items.some((it) => it.id === id)) } : {}), | |
| }; | |
| jobs[j].results[index] = record; | |
| if (error) stats.failed += 1; | |
| else await writeFile(cacheFile, JSON.stringify(record), "utf8"); | |
| } | |
| }; | |
| const t0 = Date.now(); | |
| await Promise.all(Array.from({ length: concurrency }, worker)); | |
| for (const job of jobs) { | |
| await writeFile(job.responses, job.results.map((r) => JSON.stringify(r)).join("\n") + "\n", "utf8"); | |
| } | |
| const secs = (Date.now() - t0) / 1000; | |
| const line = `jobs=${jobs.length} batches=${queue.length} cached=${stats.cached} called=${stats.called}` | |
| + ` retried=${stats.retried} call_errors=${stats.errored} failed=${stats.failed}` | |
| + ` concurrency=${concurrency} elapsed=${secs.toFixed(1)}s (${(queue.length / secs).toFixed(2)} batches/s)`; | |
| console.log(line); | |
| return line; | |
| })() | |