""" Visualize 100 samples from new_policy7w_v2_reformat dataset. Output: /mnt/bn/bohanzhainas1/jiashuo/viz/ - samples/sample_NNN/ -> video frames + info.json - index.html -> browsable HTML overview """ import os, json, base64, glob import pandas as pd from pathlib import Path DATA_DIR = "/mnt/hdfs/byte_tt_data_cu_vagcp/haogeng.liu/new_policy7w_v2_reformat" OUT_DIR = Path("/mnt/bn/bohanzhainas1/jiashuo/viz") N_SAMPLES = 100 PREVIEW_FRAMES = [0, 4, 8, 12, 15] # frames shown in HTML (out of 16) # ── helpers ────────────────────────────────────────────────────────────────── def save_frames(frames_b64: list, out_dir: Path, prefix: str) -> list[str]: """Save all frames to disk, return relative paths.""" paths = [] for i, b64 in enumerate(frames_b64): raw = base64.b64decode(b64) rel = f"{prefix}_frame_{i:02d}.jpg" (out_dir / rel).write_bytes(raw) paths.append(rel) return paths def parse_row(row) -> dict: msgs = json.loads(row["messages"]) extra = json.loads(row["extra_info"]) user_content = msgs[0]["content"] # list of {type, video/text, ...} asst_content = msgs[1]["content"] # list of {type, text} # extract videos and texts from user turn videos, user_texts = [], [] for item in user_content: if item["type"] == "video": videos.append(item["video"]) # list of 16 base64 strings elif item["type"] == "text": user_texts.append(item["text"]) elif item["type"] == "image": videos.append([item["image"]]) # treat single-image as 1-frame video assistant_text = " ".join( c["text"] for c in asst_content if c.get("type") == "text" ) return { "videos": videos, "user_texts": user_texts, "assistant_text": assistant_text, "extra_info": extra, } def build_sample_dir(idx: int, parsed: dict) -> dict: """Save frames + info.json, return metadata for HTML.""" sdir = OUT_DIR / "samples" / f"sample_{idx:03d}" sdir.mkdir(parents=True, exist_ok=True) frame_paths = {} # video_idx -> [relative paths] for vi, frames in enumerate(parsed["videos"]): paths = save_frames(frames, sdir, f"video{vi+1}") frame_paths[vi] = paths info = { "user_texts": parsed["user_texts"], "assistant": parsed["assistant_text"], "extra_info": parsed["extra_info"], "num_videos": len(parsed["videos"]), "frames_per_video": [len(v) for v in parsed["videos"]], } (sdir / "info.json").write_text(json.dumps(info, ensure_ascii=False, indent=2)) return {"sdir": sdir, "frame_paths": frame_paths, "info": info} # ── HTML generation ─────────────────────────────────────────────────────────── def img_tag(sdir: Path, rel_path: str, width=160) -> str: abs_path = sdir / rel_path b64 = base64.b64encode(abs_path.read_bytes()).decode() return f'' def json_block(obj) -> str: if isinstance(obj, str): try: obj = json.loads(obj) except Exception: pass text = json.dumps(obj, ensure_ascii=False, indent=2) if not isinstance(obj, str) else obj return f'
{text}
' def render_sample_html(idx: int, meta: dict) -> str: sdir = meta["sdir"] frame_paths = meta["frame_paths"] info = meta["info"] # video strips (only PREVIEW_FRAMES) video_html = "" for vi, paths in frame_paths.items(): preview = [paths[i] for i in PREVIEW_FRAMES if i < len(paths)] imgs = "".join(img_tag(sdir, p) for p in preview) video_html += f"""
Video {vi+1} ({len(paths)} frames, showing {len(preview)}):
{imgs}
""" # user texts user_text_html = "" for i, t in enumerate(info["user_texts"]): label = f"Video {i+1} metadata" if i < len(frame_paths) else f"Text {i+1}" user_text_html += f"{label}:{json_block(t)}" # assistant asst_html = json_block(info["assistant_text"]) # extra_info extra = info["extra_info"] extra_sections = "" for key in ["video1", "video2"]: if key in extra: v = extra[key] extra_sections += f"extra_info.{key}:{json_block(v)}" for key in [k for k in extra if k not in ("video1", "video2")]: extra_sections += f"extra_info.{key}: {extra[key]}
" return f"""

Sample {idx:03d} [info.json]

Videos: {video_html}
User texts: {user_text_html} Assistant: {asst_html} {extra_sections}
""" # ── main ───────────────────────────────────────────────────────────────────── def main(): parquet_files = sorted(glob.glob(f"{DATA_DIR}/*.parquet")) print(f"Found {len(parquet_files)} parquet files") samples_html = [] count = 0 for pf in parquet_files: if count >= N_SAMPLES: break df = pd.read_parquet(pf) for _, row in df.iterrows(): if count >= N_SAMPLES: break print(f" Processing sample {count:03d} ...", end="\r") try: parsed = parse_row(row) meta = build_sample_dir(count, parsed) html = render_sample_html(count, meta) samples_html.append(html) except Exception as e: samples_html.append(f'
Sample {count}: ERROR - {e}
') count += 1 print(f"\nProcessed {count} samples") page = f""" new_policy7w_v2_reformat — {count} samples

Dataset: new_policy7w_v2_reformat

Showing {count} samples  |  Each sample: 2 videos (16 frames each) + metadata texts + assistant label
Full frames + info.json saved under samples/sample_NNN/

{"".join(samples_html)} """ out_html = OUT_DIR / "index.html" out_html.write_text(page, encoding="utf-8") print(f"Saved: {out_html}") print(f"Samples dir: {OUT_DIR / 'samples'}") if __name__ == "__main__": main()