Download code/berx/paths.py from Jyo-K/PopTurk: direct link, hf CLI and curl.
- Browser
- Download file 4.85 kB
-
https://huggingface.co/datasets/Jyo-K/PopTurk/resolve/main/code/berx/paths.py
- Command line
-
hf download hf://datasets/Jyo-K/PopTurk/code/berx/paths.py
-
curl -L -o paths.py https://huggingface.co/datasets/Jyo-K/PopTurk/resolve/main/code/berx/paths.py
4.85 kB
| """One place that knows where things live, so the same script runs on three machines. | |
| Override with environment variables; the defaults are the college box layout. | |
| BERX_DATA raw TSV / parquet root, containing train/ and test/ | |
| BERX_WORK writable outputs | |
| BERX_EMB embedding root, one subdirectory per channel | |
| """ | |
| from __future__ import annotations | |
| import os | |
| DATA = os.environ.get("BERX_DATA", "/scratch/user4/dai/dataset_unstop/dataset") | |
| WORK = os.environ.get("BERX_WORK", "/scratch/user4/dai/v2/work") | |
| EMB = os.environ.get("BERX_EMB", "/scratch/user4/dai/model-3/work/emb") | |
| # The three embedding channels, and the HF dataset repo each one was uploaded to. | |
| # NOTE the e5_large / bge_m3 repo names: they are NOT the pairing a reader would guess from | |
| # the repo titles. This mapping is the one the user confirmed, and guessing it wrong silently | |
| # produces a 1024-d matrix of the wrong model with no shape error to catch it. | |
| CHANNELS = { | |
| "e5_small": {"repo": "Jyo-K/PopTards_Smol_Boy", "dim": 384, "dir": "e5-small", | |
| "model": "intfloat/multilingual-e5-small"}, | |
| "e5_large": {"repo": "Jyo-K/PopTard_Qwen_Machine", "dim": 1024, "dir": "e5-large", | |
| "model": "intfloat/multilingual-e5-large"}, | |
| "bge_m3": {"repo": "Jyo-K/PopTards_Big_Boy", "dim": 1024, "dir": "bge-m3", | |
| "model": "BAAI/bge-m3"}, | |
| } | |
| PAYLOAD_REPO = os.environ.get("BERX_PAYLOAD", "Jyo-K/PopTurk") | |
| def raw(split: str, i: int) -> str: | |
| """Raw source file, preferring parquet when the prepare step has produced it.""" | |
| base = os.path.join(DATA, split, f"{split}_source{i}") | |
| return base + ".parquet" if os.path.exists(base + ".parquet") else base + ".tsv" | |
| def ground_truth(split: str = "train") -> str: | |
| base = os.path.join(DATA, split, f"{split}_ground_truth") | |
| return base + ".parquet" if os.path.exists(base + ".parquet") else base + ".tsv" | |
| def work(*parts: str) -> str: | |
| p = os.path.join(WORK, *parts) | |
| os.makedirs(os.path.dirname(p) or ".", exist_ok=True) | |
| return p | |
| def channel_cfg(channel: str) -> dict: | |
| """Config for a channel, inventing one for the ad-hoc views 08_embed.py writes. | |
| The rescue channels (nameonly, addronly) are built on demand rather than declared, so | |
| they have no entry in CHANNELS. They are always e5-small 384-d and their directory name | |
| is the channel name itself. | |
| """ | |
| if channel in CHANNELS: | |
| return CHANNELS[channel] | |
| return {"repo": None, "dim": 384, "dir": channel, | |
| "model": "intfloat/multilingual-e5-small"} | |
| def emb_dir(channel: str, split: str, which: str) -> str: | |
| """Directory holding one matrix. `which` is 's1' or 'pool'. | |
| The on-disk layout is <EMB>/<dir>/<split>_<which>/ containing matrix.npy (the full fp16 | |
| matrix), ids.txt (one entity id per row) and meta.json. The per-shard files beside them | |
| are the build's intermediates; matrix.npy is the concatenation and is what to read. | |
| Note the directory names use hyphens ("e5-small") while the channel keys use underscores | |
| ("e5_small"). That is not worth unifying now - the embeddings took 28 minutes to build and | |
| renaming them to please a key is how row order gets disturbed. | |
| """ | |
| return os.path.join(EMB, channel_cfg(channel)["dir"], f"{split}_{which}") | |
| def emb(channel: str, split: str, which: str) -> str: | |
| """The matrix itself. Pool matrices are S2 rows then S3 rows, in source file order.""" | |
| return os.path.join(emb_dir(channel, split, which), "matrix.npy") | |
| def emb_rows(channel: str, split: str, which: str) -> str: | |
| """Map from matrix row -> row in the full prepared source. | |
| Present only when the matrix covers a SUBSET (F4's pool is address-less records only). | |
| Without applying it, candidate index i means row i of a 265k subset while everything | |
| downstream reads it as row i of the 10M pool - wrong, and silently so. | |
| """ | |
| return os.path.join(emb_dir(channel, split, which), "rows.npy") | |
| def emb_ids(channel: str, split: str, which: str) -> str: | |
| """One entity id per matrix row. This is what makes row order CHECKABLE rather than | |
| assumed - see 03_retrieve.py, which verifies it before spending GPU time.""" | |
| return os.path.join(emb_dir(channel, split, which), "ids.txt") | |
| def available_channels(split: str) -> list[str]: | |
| """Channels whose matrices are actually present locally. | |
| Only e5-small was built on the box; the two 1024-d channels live on the Hub. A run that | |
| silently skipped them would report a three-channel union it never computed, so callers | |
| check this and say which ones are missing. | |
| """ | |
| return [c for c in CHANNELS | |
| if os.path.exists(emb(c, split, "s1")) and os.path.exists(emb(c, split, "pool"))] | |