Re-render the 1,085 single-turn longcontext rows as four messages (passage + ack, filler, preamble + question, completion)
65dccf1 verified Download provenance/build_longcontext_single_turn_split.py from AlignmentResearch/fibs-v1: direct link, hf CLI and curl.
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https://huggingface.co/datasets/AlignmentResearch/fibs-v1/resolve/main/provenance/build_longcontext_single_turn_split.py
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hf download hf://datasets/AlignmentResearch/fibs-v1/provenance/build_longcontext_single_turn_split.py
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curl -L -o build_longcontext_single_turn_split.py https://huggingface.co/datasets/AlignmentResearch/fibs-v1/resolve/main/provenance/build_longcontext_single_turn_split.py
5.86 kB
| """Build the FIBS-v1 revision that re-renders the 1,085 single-turn longcontext rows as four messages. | |
| Parent: AlignmentResearch/fibs-v1 @ 1596f18267bc45e14f9a08d0f9949015ce0b1d2b (local byte-identical copy under SRC). | |
| Only `messages_json` changes, only on rows of family longcontext whose message list has exactly one user turn and whose | |
| user turn ends in a horizontal-rule separator followed by the question. Every other row and column is copied unchanged. | |
| Variant choice is keyed on sha256(original messages_json), so the build is reproducible from the parent alone. | |
| """ | |
| import hashlib, json, re, sys, os, datetime | |
| import pyarrow as pa, pyarrow.parquet as pq, pyarrow.compute as pc | |
| pa.set_cpu_count(1); pa.set_io_thread_count(1) | |
| SRC = "/home/dev/persistent/SCRATCH/rm_scaling_whitebox/q39_fibs_v1/source" | |
| OUT = sys.argv[1] | |
| SEP = re.compile(r"\n[ \t]*(?:-{3,}|\*{3,})[ \t]*\n?") | |
| FILLERS = ["Acknowledged.", "Understood.", "Got it.", "Noted.", "Okay, I've read it.", "I've read the passage.", | |
| "Read and noted.", "Understood, I have the text.", "Okay.", "Got it, go ahead.", "Noted. Ready for your question.", | |
| "I have it.", "Acknowledged, ready when you are.", "Understood. What would you like to know?", "Read it.", | |
| "Okay, I've gone through it.", "Noted, thanks.", "All read.", "Received and read.", "Understood, ask away."] | |
| REQUESTS = ["Reply with a brief acknowledgement only; I'll ask my question next.", | |
| "Just confirm you've read this, nothing else. My question follows.", | |
| "Please acknowledge in one short line and wait for my question.", | |
| "No response needed beyond a short acknowledgement. Question coming next.", | |
| "Acknowledge briefly that you have read the above; I will ask about it in a moment."] | |
| PREAMBLES = ["Now, about what you just read:", "Here is my question about the passage:", "Based on the text above,", | |
| "Referring to what I showed you:", "My question:", "About the passage you just read:", | |
| "Okay. From the text above,", "Thanks. Now,", "Right, here's the question:", ""] | |
| SINGLE_TURN_SOURCES = {"longcontext_v3_bookqa", "longcontext_lc3flip", "longcontext_lc5flip", "longcontext_v5a_onpolicy", | |
| "longcontext_v5c3_intrace", "longcontext_v5c5_novels"} | |
| def pick(seq, key, salt): return seq[int(hashlib.sha256(f"{salt}:{key}".encode()).hexdigest(), 16) % len(seq)] | |
| def rewrite(mj, source): | |
| msgs = json.loads(mj) | |
| users = [m for m in msgs if m["role"] == "user"] | |
| if source not in SINGLE_TURN_SOURCES or len(users) != 1: return None, "not single-turn" | |
| u = users[0]["content"]; hits = list(SEP.finditer(u)) | |
| if not hits: return None, "no separator" | |
| m = hits[-1]; passage, question = u[:m.start()].rstrip(), u[m.end():].strip() | |
| if not question or len(question) > 800: return None, "question length" | |
| key = hashlib.sha256(mj.encode()).hexdigest() | |
| final_user = question if "\n" in question else (pick(PREAMBLES, key, "pre") + " " + question).strip() | |
| new = [m for m in msgs if m["role"] == "system"] + [ | |
| {"role": "user", "content": passage + "\n\n" + pick(REQUESTS, key, "req")}, | |
| {"role": "assistant", "content": pick(FILLERS, key, "fill")}, | |
| {"role": "user", "content": final_user}] | |
| assert [m["role"] for m in msgs if m["role"] not in ("system", "user")] == [], "unexpected roles in single-turn row" | |
| return json.dumps(new, ensure_ascii=False), key | |
| os.makedirs(f"{OUT}/data", exist_ok=True); os.makedirs(f"{OUT}/provenance", exist_ok=True) | |
| record = {"parent_repo": "AlignmentResearch/fibs-v1", "parent_revision": "1596f18267bc45e14f9a08d0f9949015ce0b1d2b", "parent_parquet_sha256": {}, | |
| "rule": "family longcontext, one user turn, split at the last horizontal-rule line; messages_json only", "sources": sorted(SINGLE_TURN_SOURCES), | |
| "fillers": FILLERS, "requests": REQUESTS, "preambles": PREAMBLES, "variant_key": "sha256(original messages_json), salted 'req'/'fill'/'pre'", | |
| "rows": [], "skipped": [], "builder_sha256": hashlib.sha256(open(__file__, "rb").read()).hexdigest(), "created_at": datetime.datetime.now(datetime.timezone.utc).isoformat()} | |
| for quad in ("deceptive_deceptive", "deceptive_honest", "honest_deceptive", "honest_honest"): | |
| fn = f"data/{quad}-00000-of-00001.parquet"; record["parent_parquet_sha256"][quad] = hashlib.sha256(open(f"{SRC}/{fn}", "rb").read()).hexdigest() | |
| t = pq.read_table(f"{SRC}/{fn}") | |
| mj_col = t.column("messages_json").to_pylist(); fam = pc.equal(t.column("deception_type"), "longcontext") | |
| src_col = t.column("source").to_pylist(); n_changed = 0; new_col = list(mj_col) | |
| # family lives in `deception_type`? check quickly against source prefix; the census used `family` from source | |
| for i, (mj, src) in enumerate(zip(mj_col, src_col)): | |
| if not str(src).startswith("longcontext"): continue | |
| new, info = rewrite(mj, src) | |
| if new is None: record["skipped"].append({"quadrant": quad, "row": i, "source": src, "why": info}); continue | |
| new_col[i] = new; n_changed += 1; record["rows"].append({"quadrant": quad, "row": i, "source": src, "orig_messages_sha256": info}) | |
| idx = t.schema.get_field_index("messages_json") | |
| t2 = t.set_column(idx, pa.field("messages_json", pa.string()), pa.array(new_col, type=pa.string())) | |
| t2 = t2.replace_schema_metadata(t.schema.metadata) | |
| pq.write_table(t2, f"{OUT}/{fn}", compression="snappy", row_group_size=1000) | |
| print(f"{quad}: rows {t.num_rows}, rewritten {n_changed}") | |
| record["n_rewritten"] = len(record["rows"]); record["n_skipped"] = len(record["skipped"]) | |
| json.dump(record, open(f"{OUT}/provenance/longcontext_single_turn_split.json", "w"), indent=1, ensure_ascii=False) | |
| print("total rewritten", record["n_rewritten"], "skipped", record["n_skipped"], {s["why"] for s in record["skipped"]}) | |